diff --git a/frontend/src/App.vue b/frontend/src/App.vue
index 8c4350d..024c049 100644
--- a/frontend/src/App.vue
+++ b/frontend/src/App.vue
@@ -1,6 +1,6 @@
 <template>
   <v-app>
-    <v-app-bar app color="primary" dark>
+    <v-app-bar color="primary" dark>
       <v-app-bar-nav-icon @click="drawer = !drawer"></v-app-bar-nav-icon>
       <v-toolbar-title>AITrader</v-toolbar-title>
       <v-spacer></v-spacer>
@@ -9,20 +9,16 @@
       </v-btn>
     </v-app-bar>
 
-    <v-navigation-drawer v-model="drawer" app>
+    <v-navigation-drawer v-model="drawer">
       <v-list>
         <v-list-item
           v-for="item in menuItems"
           :key="item.title"
           :to="item.path"
+          :prepend-icon="item.icon"
+          :title="item.title"
           link
         >
-          <v-list-item-icon>
-            <v-icon>{{ item.icon }}</v-icon>
-          </v-list-item-icon>
-          <v-list-item-content>
-            <v-list-item-title>{{ item.title }}</v-list-item-title>
-          </v-list-item-content>
         </v-list-item>
       </v-list>
     </v-navigation-drawer>
diff --git a/frontend/src/api/market.js b/frontend/src/api/market.js
index 752594b..e4e74cb 100644
--- a/frontend/src/api/market.js
+++ b/frontend/src/api/market.js
@@ -229,6 +229,46 @@ export const marketAPI = {
   async getTradeHistoryStatistics() {
     const response = await api.get('/trade_history/statistics')
     return response.data
+  },
+
+  // ==================== 策略配置 ====================
+
+  // 获取所有策略配置
+  async getStrategies() {
+    const response = await api.get('/strategy')
+    return response.data
+  },
+
+  // 获取品种策略配置
+  async getStrategy(symbol) {
+    const response = await api.get(`/strategy/${encodeURIComponent(symbol)}`)
+    return response.data
+  },
+
+  // 更新品种策略配置
+  async updateStrategy(symbol, data) {
+    const response = await api.post(`/strategy/${encodeURIComponent(symbol)}`, data)
+    return response.data
+  },
+
+  // 删除品种策略配置
+  async deleteStrategy(symbol) {
+    const response = await api.delete(`/strategy/${encodeURIComponent(symbol)}`)
+    return response.data
+  },
+
+  // 获取决策历史
+  async getDecisions(symbol = null, count = 20) {
+    const params = { count }
+    if (symbol) params.symbol = symbol
+    const response = await api.get('/strategy/decisions', { params })
+    return response.data
+  },
+
+  // 手动触发策略决策
+  async triggerStrategyDecision(symbol) {
+    const response = await api.post(`/strategy/trigger/${encodeURIComponent(symbol)}`)
+    return response.data
   }
 }
 
diff --git a/frontend/src/views/Market.vue b/frontend/src/views/Market.vue
index 83aa126..0e966fa 100644
--- a/frontend/src/views/Market.vue
+++ b/frontend/src/views/Market.vue
@@ -18,7 +18,7 @@
         >
           <div class="d-flex align-center">
             <v-icon small class="mr-2">mdi-lightning-bolt</v-icon>
-            <v-chip v-if="latestFlashNews.speaker" color="primary" x-small class="mr-2">
+            <v-chip v-if="latestFlashNews.speaker" color="primary" size="x-small" class="mr-2">
               {{ latestFlashNews.speaker }}
             </v-chip>
             <span class="text-body-2">{{ latestFlashNews.content }}</span>
@@ -31,7 +31,7 @@
               v-for="(impact, symbol) in latestFlashNews.impact"
               :key="symbol"
               :color="getImpactColor(impact.direction)"
-              x-small
+              size="x-small"
               class="mr-1"
             >
               {{ symbol }}: {{ impact.direction }}
@@ -53,10 +53,10 @@
         >
           <div class="d-flex align-center">
             <v-icon small class="mr-2">mdi-calendar-alert</v-icon>
-            <v-chip color="error" x-small class="mr-2">
+            <v-chip color="error" size="x-small" class="mr-2">
               重要性 {{ topCalendarEvent.importance }}
             </v-chip>
-            <v-chip :color="getCurrencyColor(topCalendarEvent.currency)" x-small class="mr-2">
+            <v-chip :color="getCurrencyColor(topCalendarEvent.currency)" size="x-small" class="mr-2">
               {{ topCalendarEvent.currency }}
             </v-chip>
             <span class="text-body-2 font-weight-medium">{{ topCalendarEvent.name }}</span>
@@ -81,7 +81,7 @@
           <div v-if="topCalendarEvent.result" class="mt-1">
             <v-chip
               :color="getEventResultColor(topCalendarEvent.result)"
-              x-small
+              size="x-small"
             >
               {{ getEventResultLabel(topCalendarEvent.result) }}
             </v-chip>
@@ -90,206 +90,68 @@
       </v-col>
     </v-row>
 
-    <!-- 转折点提醒通知 -->
-    <v-row v-if="pivotAlerts.length > 0">
+    <!-- 交易决策提醒 -->
+    <v-row v-if="decisionAlerts.length > 0">
       <v-col cols="12">
         <v-alert
-          v-for="(alert, index) in pivotAlerts"
+          v-for="(alert, index) in decisionAlerts"
           :key="index"
-          :type="alert.direction === 'high' ? 'warning' : 'info'"
+          :type="alert.action === 'buy' ? 'success' : 'warning'"
           dismissible
           class="mb-2"
-          @input="removeAlert(index)"
+          @input="removeDecisionAlert(index)"
         >
           <div class="d-flex flex-wrap align-center">
+            <v-icon small class="mr-1">mdi-chart-line</v-icon>
             <strong>{{ alert.symbol }}</strong>
-            <v-chip small :color="alert.direction === 'high' ? 'error' : 'success'" class="ml-2">
-              接近{{ alert.direction === 'high' ? '高点' : '低点' }}
+            <v-chip small :color="alert.action === 'buy' ? 'success' : 'error'" class="ml-2">
+              {{ alert.action === 'buy' ? '买入' : '卖出' }}
             </v-chip>
-            <v-chip small :color="getPivotPeriodColor(alert.period)" class="ml-2">
-              {{ alert.period }}
+            <v-chip v-if="alert.confidence" small color="primary" class="ml-2">
+              置信度: {{ alert.confidence }}%
             </v-chip>
           </div>
-          <div class="mt-1">
-            <span class="text-caption">转折点: <strong>{{ alert.pivot_price }}</strong></span>
-            <span class="text-caption ml-4">当前价格: <strong>{{ alert.current_price }}</strong></span>
-            <span class="text-caption ml-4">距离: <strong>{{ (alert.distance_pct * 100).toFixed(2) }}%</strong></span>
-          </div>
 
-          <!-- 显示各周期信息（如果有合并数据） -->
-          <div v-if="alert.periods && alert.periods.length > 0" class="mt-2">
+          <div class="mt-2">
+            <span class="text-caption mr-4">入场价: <strong>{{ alert.price?.toFixed(2) }}</strong></span>
+            <span class="text-caption mr-4">止损: <strong>{{ alert.sl?.toFixed(2) }}</strong></span>
+            <span class="text-caption mr-4">止盈: <strong>{{ alert.tp?.toFixed(2) }}</strong></span>
+            <span v-if="alert.risk_reward_ratio" class="text-caption">
+              盈亏比: <strong>{{ alert.risk_reward_ratio }}</strong>
+            </span>
+          </div>
+
+          <!-- 信号来源 -->
+          <div v-if="alert.signals && alert.signals.length > 0" class="mt-2">
+            <span class="text-caption mr-2">信号来源:</span>
             <v-chip
-              v-for="p in alert.periods"
-              :key="p.period"
-              x-small
-              class="mr-1 mb-1"
-              :color="getPivotPeriodColor(p.period)"
+              v-for="(signal, sIdx) in getVisibleSignals(alert)"
+              :key="sIdx"
+              size="x-small"
+              class="mr-1"
+              :color="getSignalSourceColor(signal.source)"
             >
-              {{ p.period }}: {{ p.price }} ({{ p.distance_pct }}%)
+              {{ formatSignalLabel(signal) }}
             </v-chip>
+            <v-btn
+              v-if="alert.signals.length > 3"
+              size="x-small"
+              variant="text"
+              class="ml-1"
+              @click="toggleSignalExpand(index)"
+            >
+              {{ isSignalExpanded(index) ? '收起' : `+${alert.signals.length - 3} 更多` }}
+              <v-icon end small>{{ isSignalExpanded(index) ? 'mdi-chevron-up' : 'mdi-chevron-down' }}</v-icon>
+            </v-btn>
           </div>
 
-          <!-- 如果有待确认订单，显示订单信息和操作按钮 -->
-          <div v-if="alert.pending_order" class="mt-3 pa-2 grey lighten-4 rounded">
+          <!-- 待确认订单操作 -->
+          <div v-if="alert.pending_order && !alert.pending_order.confirmed" class="mt-3 pa-2 grey lighten-4 rounded">
             <div class="text-subtitle-2 font-weight-bold mb-2">
               <v-icon small color="primary" class="mr-1">mdi-file-document-edit</v-icon>
-              自动生成交易指令
+              待确认订单
             </div>
 
-            <!-- AI与技术信号比较 -->
-            <div v-if="alert.pending_order.ai_driven" class="mb-2">
-              <div class="d-flex align-center mb-1">
-                <span class="text-caption mr-2">技术信号:</span>
-                <v-chip :color="alert.pending_order.tech_action === '买入' ? 'success' : 'error'" x-small>
-                  {{ alert.pending_order.tech_action }}
-                </v-chip>
-                <span class="text-caption mx-2">AI建议:</span>
-                <v-chip :color="alert.pending_order.ai_direction === '买入' ? 'success' : 'error'" x-small>
-                  {{ alert.pending_order.ai_direction }}
-                </v-chip>
-              </div>
-            </div>
-
-            <!-- AI冲突警告 -->
-            <v-alert v-if="alert.pending_order.ai_conflict" type="warning" dense class="mb-2">
-              <div class="d-flex align-center">
-                <v-icon small class="mr-1">mdi-alert-circle</v-icon>
-                <strong>AI与技术信号冲突！以AI方向为准</strong>
-              </div>
-              <div v-if="alert.pending_order.ai_reason" class="text-caption mt-1">
-                AI理由: {{ alert.pending_order.ai_reason }}
-              </div>
-            </v-alert>
-
-            <!-- AI一致提示 -->
-            <v-alert v-if="alert.pending_order.ai_aligned" type="success" dense class="mb-2">
-              <div class="d-flex align-center">
-                <v-icon small class="mr-1">mdi-check-circle</v-icon>
-                <strong>AI与技术信号一致</strong>
-              </div>
-              <div v-if="alert.pending_order.ai_reason" class="text-caption mt-1">
-                AI理由: {{ alert.pending_order.ai_reason }}
-              </div>
-            </v-alert>
-
-            <div class="mb-2">
-              <v-chip :color="alert.pending_order.action === 'b' ? 'success' : 'error'" x-small class="mr-2">
-                {{ alert.pending_order.action === 'b' ? '买入' : '卖出' }}
-              </v-chip>
-              <span class="mr-3">价格: {{ alert.pending_order.price?.toFixed(2) }}</span>
-            </div>
-            <!-- 可编辑字段 -->
-            <v-row dense class="mb-2">
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.mount"
-                  label="手数"
-                  type="number"
-                  step="0.01"
-                  min="0.01"
-                  dense
-                  hide-details
-                  outlined
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.sl"
-                  label="止损"
-                  type="number"
-                  step="0.01"
-                  dense
-                  hide-details
-                  outlined
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.tp"
-                  label="止盈"
-                  type="number"
-                  step="0.01"
-                  dense
-                  hide-details
-                  outlined
-                  :hint="alert.pending_order.ai_aligned ? 'AI建议' : ''"
-                  persistent-hint
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3" class="d-flex align-center">
-                <v-btn
-                  color="success"
-                  small
-                  class="mr-1"
-                  :loading="confirmingOrderId === alert.pending_order.order_id"
-                  @click="confirmAlertOrder(alert.pending_order, index)"
-                >
-                  <v-icon left small>mdi-check</v-icon>
-                  确认
-                </v-btn>
-                <v-btn
-                  color="error"
-                  small
-                  outlined
-                  :loading="rejectingOrderId === alert.pending_order.order_id"
-                  @click="rejectAlertOrder(alert.pending_order.order_id, index)"
-                >
-                  放弃
-                </v-btn>
-              </v-col>
-            </v-row>
-            <div class="text-caption grey--text mb-1">
-              {{ alert.pending_order.reason }}
-            </div>
-            <div class="text-caption grey--text">
-              <v-icon small>mdi-clock-outline</v-icon>
-              3分钟内未操作将自动移除
-            </div>
-          </div>
-        </v-alert>
-      </v-col>
-    </v-row>
-
-    <!-- AI入场价提醒通知 -->
-    <v-row v-if="aiEntryAlerts.length > 0">
-      <v-col cols="12">
-        <v-alert
-          v-for="(alert, index) in aiEntryAlerts"
-          :key="'ai-'+index"
-          type="info"
-          dismissible
-          class="mb-2"
-          @input="removeAiEntryAlert(index)"
-        >
-          <div class="d-flex flex-wrap align-center">
-            <v-icon small color="white" class="mr-1">mdi-robot</v-icon>
-            <strong>{{ alert.symbol }} {{ alert.period }}</strong>
-            <span class="ml-2">AI建议入场</span>
-            <v-chip small class="ml-2" :color="alert.direction === 'buy' ? 'success' : 'error'">
-              {{ alert.direction === 'buy' ? '买入' : '卖出' }}
-            </v-chip>
-            <span class="ml-2">入场价: {{ alert.entry_price }}</span>
-            <span class="ml-2">当前价: {{ alert.current_price }}</span>
-            <span class="ml-2">差距: {{ alert.price_diff_pct }}%</span>
-          </div>
-
-          <!-- 如果有待确认订单，显示订单信息和操作按钮 -->
-          <div v-if="alert.pending_order" class="mt-3 pa-2 grey lighten-4 rounded">
-            <div class="text-subtitle-2 font-weight-bold mb-2">
-              <v-icon small color="primary" class="mr-1">mdi-file-document-edit</v-icon>
-              AI交易建议
-            </div>
-
-            <div class="mb-2">
-              <v-chip :color="alert.pending_order.action === 'b' ? 'success' : 'error'" x-small class="mr-2">
-                {{ alert.pending_order.action === 'b' ? '买入' : '卖出' }}
-              </v-chip>
-              <span class="mr-3">入场价: {{ alert.pending_order.price?.toFixed(2) }}</span>
-              <span class="mr-3">止损: {{ alert.pending_order.sl }}</span>
-              <span class="mr-3">止盈: {{ alert.pending_order.tp }}</span>
-            </div>
-
-            <!-- 可编辑字段 -->
             <v-row dense class="mb-2">
               <v-col cols="3">
                 <v-text-field
@@ -331,9 +193,9 @@
                   small
                   class="mr-1"
                   :loading="confirmingOrderId === alert.pending_order.order_id"
-                  @click="confirmAiEntryOrder(alert.pending_order, index)"
+                  @click="confirmDecisionOrder(alert.pending_order, index)"
                 >
-                  <v-icon left small>mdi-check</v-icon>
+                  <v-icon start small>mdi-check</v-icon>
                   确认
                 </v-btn>
                 <v-btn
@@ -341,167 +203,28 @@
                   small
                   outlined
                   :loading="rejectingOrderId === alert.pending_order.order_id"
-                  @click="rejectAiEntryOrder(alert.pending_order.order_id, index)"
+                  @click="rejectDecisionOrder(alert.pending_order.order_id, index)"
                 >
                   放弃
                 </v-btn>
               </v-col>
             </v-row>
+
             <div class="text-caption grey--text mb-1">
-              <v-icon small class="mr-1">mdi-lightbulb</v-icon>
               {{ alert.reason }}
             </div>
             <div class="text-caption grey--text">
               <v-icon small>mdi-clock-outline</v-icon>
-              3分钟内未操作将自动移除
+              {{ formatTime(alert.timestamp) }}
             </div>
           </div>
-        </v-alert>
-      </v-col>
-    </v-row>
 
-    <!-- 关键点位订单提醒 -->
-    <v-row v-if="keyLevelAlerts.length > 0">
-      <v-col cols="12">
-        <v-alert
-          v-for="(alert, index) in keyLevelAlerts"
-          :key="'key-'+index"
-          type="success"
-          dismissible
-          class="mb-2"
-          @input="removeKeyLevelAlert(index)"
-        >
-          <div class="d-flex flex-wrap align-center">
-            <v-icon small color="white" class="mr-1">mdi-chart-line</v-icon>
-            <strong>{{ alert.symbol }}</strong>
-            <v-chip small :color="alert.action === 'b' ? 'success' : 'error'" class="ml-2">
-              {{ alert.action_text }}
+          <!-- 已确认状态 -->
+          <div v-if="alert.pending_order?.confirmed" class="mt-2">
+            <v-chip small color="success">
+              <v-icon start small>mdi-check-circle</v-icon>
+              已确认，等待执行
             </v-chip>
-            <span class="ml-2">关键点位策略</span>
-          </div>
-          <div class="mt-1">
-            <span class="text-caption">关键位: <strong>{{ alert.key_level }}</strong></span>
-            <span class="text-caption ml-4">入场价: <strong>{{ alert.price?.toFixed(2) }}</strong></span>
-            <span class="text-caption ml-4">距离: <strong>{{ alert.distance_pct }}%</strong></span>
-          </div>
-
-          <!-- 如果有待确认订单，显示订单信息和操作按钮 -->
-          <div v-if="alert.pending_order" class="mt-3 pa-2 grey lighten-4 rounded">
-            <div class="text-subtitle-2 font-weight-bold mb-2">
-              <v-icon small color="primary" class="mr-1">mdi-file-document-edit</v-icon>
-              关键点位交易建议
-            </div>
-
-            <div class="mb-2">
-              <v-chip :color="alert.pending_order.action === 'b' ? 'success' : 'error'" x-small class="mr-2">
-                {{ alert.pending_order.action === 'b' ? '买入' : '卖出' }}
-              </v-chip>
-              <span class="mr-3">入场价: {{ alert.pending_order.price?.toFixed(2) }}</span>
-              <span class="mr-3">止损: {{ alert.pending_order.sl }}</span>
-              <span class="mr-3">止盈: {{ alert.pending_order.tp }}</span>
-            </div>
-
-            <!-- AI方向对比 -->
-            <div class="mb-2 pa-2 white rounded">
-              <div class="text-caption font-weight-bold mb-1">
-                <v-icon small class="mr-1">mdi-robot</v-icon>
-                AI方向对比
-              </div>
-              <div v-if="alert.pending_order.ai_directions && Object.keys(alert.pending_order.ai_directions).length > 0" class="d-flex flex-wrap align-center">
-                <span class="text-caption mr-2">关键点位: <strong :class="alert.pending_order.action === 'b' ? 'success--text' : 'error--text'">{{ alert.pending_order.key_level_direction_text }}</strong></span>
-                <template v-for="(dirInfo, period) in alert.pending_order.ai_directions" :key="period">
-                  <v-chip
-                    :color="dirInfo.direction === 'buy' ? 'success' : 'error'"
-                    x-small
-                    outlined
-                    class="mr-1"
-                  >
-                    {{ period }}: {{ dirInfo.text }}
-                  </v-chip>
-                </template>
-              </div>
-              <div v-else class="text-caption grey--text">
-                关键点位: <strong :class="alert.pending_order.action === 'b' ? 'success--text' : 'error--text'">{{ alert.pending_order.key_level_direction_text }}</strong>
-                <span class="ml-2">AI暂无分析数据</span>
-              </div>
-              <div v-if="alert.pending_order.recommendation" class="mt-1">
-                <v-chip
-                  :color="alert.pending_order.recommendation_color || 'grey'"
-                  x-small
-                  dark
-                >
-                  <v-icon x-small left>mdi-lightbulb</v-icon>
-                  {{ alert.pending_order.recommendation }}
-                </v-chip>
-              </div>
-            </div>
-
-            <!-- 可编辑字段 -->
-            <v-row dense class="mb-2">
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.mount"
-                  label="手数"
-                  type="number"
-                  step="0.01"
-                  min="0.01"
-                  dense
-                  hide-details
-                  outlined
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.sl"
-                  label="止损"
-                  type="number"
-                  step="0.01"
-                  dense
-                  hide-details
-                  outlined
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3">
-                <v-text-field
-                  v-model.number="alert.pending_order.tp"
-                  label="止盈"
-                  type="number"
-                  step="0.01"
-                  dense
-                  hide-details
-                  outlined
-                ></v-text-field>
-              </v-col>
-              <v-col cols="3" class="d-flex align-center">
-                <v-btn
-                  color="success"
-                  small
-                  class="mr-1"
-                  :loading="confirmingOrderId === alert.pending_order.order_id"
-                  @click="confirmKeyLevelOrder(alert.pending_order, index)"
-                >
-                  <v-icon left small>mdi-check</v-icon>
-                  确认
-                </v-btn>
-                <v-btn
-                  color="error"
-                  small
-                  outlined
-                  :loading="rejectingOrderId === alert.pending_order.order_id"
-                  @click="rejectKeyLevelOrder(alert.pending_order.order_id, index)"
-                >
-                  放弃
-                </v-btn>
-              </v-col>
-            </v-row>
-            <div class="text-caption grey--text mb-1">
-              <v-icon small class="mr-1">mdi-lightbulb</v-icon>
-              {{ alert.reason }}
-            </div>
-            <div class="text-caption grey--text">
-              <v-icon small>mdi-clock-outline</v-icon>
-              3分钟内未操作将自动移除
-            </div>
           </div>
         </v-alert>
       </v-col>
@@ -515,7 +238,7 @@
           small
           class="mr-2"
         >
-          <v-icon left small>mdi-lan-connect</v-icon>
+          <v-icon start small>mdi-lan-connect</v-icon>
           {{ wsConnected ? 'WebSocket 已连接' : 'WebSocket 断开' }}
         </v-chip>
       </v-col>
@@ -562,15 +285,15 @@
             <div v-else>
               <v-expansion-panels>
                 <v-expansion-panel v-for="(data, symbol) in llmAnalysis" :key="symbol">
-                  <v-expansion-panel-header>
+                  <v-expansion-panel-title>
                     <div class="d-flex align-center">
                       <strong class="mr-3">{{ symbol }}</strong>
                       <v-chip
-                        v-if="data.analysis && data.analysis.overall_trend"
-                        :color="getTrendChipColor(data.analysis.overall_trend.direction)"
+                        v-if="data.overall_trend"
+                        :color="getTrendChipColor(data.overall_trend.direction)"
                         small
                       >
-                        {{ data.analysis.overall_trend.direction }}
+                        {{ data.overall_trend.direction }}
                       </v-chip>
                       <!-- 休市状态 -->
                       <v-chip
@@ -579,7 +302,7 @@
                         small
                         class="ml-2"
                       >
-                        <v-icon left x-small>mdi-pause-circle</v-icon>
+                        <v-icon start size="x-small">mdi-pause-circle</v-icon>
                         休市中
                       </v-chip>
                       <!-- 数据未更新 -->
@@ -589,12 +312,12 @@
                         small
                         class="ml-2"
                       >
-                        <v-icon left x-small>mdi-alert</v-icon>
+                        <v-icon start size="x-small">mdi-alert</v-icon>
                         数据未更新
                       </v-chip>
                     </div>
-                  </v-expansion-panel-header>
-                  <v-expansion-panel-content>
+                  </v-expansion-panel-title>
+                  <v-expansion-panel-text>
                     <!-- 休市提示 -->
                     <v-alert
                       v-if="data.market_status === 'closed'"
@@ -626,9 +349,9 @@
                     </v-alert>
 
                     <!-- 各周期趋势（休市时可能没有分析结果）-->
-                    <div v-if="data.analysis && data.analysis.trend_analysis" class="mb-4">
+                    <div v-if="data.trend_analysis" class="mb-4">
                       <div class="text-subtitle-2 mb-2">各周期趋势</div>
-                      <v-simple-table dense>
+                      <v-table density="compact">
                         <template v-slot:default>
                           <thead>
                             <tr>
@@ -642,10 +365,10 @@
                             </tr>
                           </thead>
                           <tbody>
-                            <tr v-for="(trend, period) in data.analysis.trend_analysis" :key="period">
+                            <tr v-for="(trend, period) in data.trend_analysis" :key="period">
                               <td><strong>{{ period }}</strong></td>
                               <td>
-                                <v-chip :color="getTrendChipColor(trend.trend)" x-small>
+                                <v-chip :color="getTrendChipColor(trend.trend)" size="x-small">
                                   {{ trend.trend }}
                                 </v-chip>
                               </td>
@@ -659,7 +382,7 @@
                                 <v-chip
                                   v-if="getTechTrend(symbol, period)"
                                   :color="getTrendColor(getTechTrend(symbol, period).trend)"
-                                  x-small
+                                  size="x-small"
                                 >
                                   {{ getTrendLabel(getTechTrend(symbol, period).trend) }}
                                 </v-chip>
@@ -674,7 +397,7 @@
                               <td>
                                 <v-chip
                                   :color="getConclusionColor(symbol, period, trend)"
-                                  x-small
+                                  size="x-small"
                                 >
                                   {{ getConclusion(symbol, period, trend) }}
                                 </v-chip>
@@ -682,32 +405,32 @@
                             </tr>
                           </tbody>
                         </template>
-                      </v-simple-table>
+                      </v-table>
                     </div>
 
                     <!-- 关键价位 -->
-                    <div v-if="data.analysis && data.analysis.key_levels" class="mb-4">
+                    <div v-if="data.key_levels" class="mb-4">
                       <div class="text-subtitle-2 mb-2">关键价位</div>
                       <v-row>
                         <v-col cols="6">
                           <div class="text-caption grey--text">压力位</div>
-                          <div v-for="(level, i) in data.analysis.key_levels.resistance" :key="'r'+i">
-                            <v-chip color="error" x-small class="mr-1">{{ level }}</v-chip>
+                          <div v-for="(level, i) in data.key_levels.resistance" :key="'r'+i">
+                            <v-chip color="error" size="x-small" class="mr-1">{{ level }}</v-chip>
                           </div>
                         </v-col>
                         <v-col cols="6">
                           <div class="text-caption grey--text">支撑位</div>
-                          <div v-for="(level, i) in data.analysis.key_levels.support" :key="'s'+i">
-                            <v-chip color="success" x-small class="mr-1">{{ level }}</v-chip>
+                          <div v-for="(level, i) in data.key_levels.support" :key="'s'+i">
+                            <v-chip color="success" size="x-small" class="mr-1">{{ level }}</v-chip>
                           </div>
                         </v-col>
                       </v-row>
                     </div>
 
                     <!-- 交易建议 -->
-                    <div v-if="data.analysis && data.analysis.trade_suggestions && data.analysis.trade_suggestions.length > 0">
+                    <div v-if="data.trade_suggestions && data.trade_suggestions.length > 0">
                       <div class="text-subtitle-2 mb-2">交易建议</div>
-                      <v-simple-table dense>
+                      <v-table density="compact">
                         <template v-slot:default>
                           <thead>
                             <tr>
@@ -720,10 +443,10 @@
                             </tr>
                           </thead>
                           <tbody>
-                            <tr v-for="(suggestion, i) in data.analysis.trade_suggestions" :key="i">
+                            <tr v-for="(suggestion, i) in data.trade_suggestions" :key="i">
                               <td>{{ suggestion.period }}</td>
                               <td>
-                                <v-chip :color="suggestion.direction === 'buy' ? 'success' : 'error'" x-small>
+                                <v-chip :color="suggestion.direction === 'buy' ? 'success' : 'error'" size="x-small">
                                   {{ suggestion.direction === 'buy' ? '买入' : '卖出' }}
                                 </v-chip>
                               </td>
@@ -734,13 +457,13 @@
                             </tr>
                           </tbody>
                         </template>
-                      </v-simple-table>
+                      </v-table>
                     </div>
 
                     <div class="text-caption grey--text mt-2">
                       分析时间: {{ data.analyzed_at }}
                     </div>
-                  </v-expansion-panel-content>
+                  </v-expansion-panel-text>
                 </v-expansion-panel>
               </v-expansion-panels>
             </div>
@@ -767,9 +490,8 @@ export default {
     const allPivots = ref([])
     const marketStatus = ref({})
     const thresholds = ref({})
-    const pivotAlerts = ref([])
-    const aiEntryAlerts = ref([])
-    const keyLevelAlerts = ref([])  // 关键点位订单提醒
+    const decisionAlerts = ref([])  // 统一的决策提醒列表
+    const expandedSignals = ref(new Set())  // 展开信号的状态
     const loading = ref(false)
     const showError = ref(false)
     const errorMessage = ref('')
@@ -838,28 +560,54 @@ export default {
       ws.value = marketAPI.createWebSocket(
         // onMessage
         (data) => {
-          if (data.type === 'pivot_alert') {
-            // 添加新的提醒到列表顶部
-            pivotAlerts.value.unshift(data)
-            // 只保留最近10条
-            if (pivotAlerts.value.length > 10) {
-              pivotAlerts.value.pop()
+          if (data.type === 'trading_decision') {
+            // 策略层产生的交易决策
+            console.log('收到交易决策:', data)
+            const decision = data.data
+            // 转换为统一的 alert 格式
+            const alert = {
+              type: 'trading_decision',
+              decision_id: decision.decision_id,
+              symbol: decision.symbol,
+              action: decision.action,
+              price: decision.entry_price,
+              sl: decision.sl,
+              tp: decision.tp,
+              volume: decision.volume,
+              reason: decision.decision_reason,
+              confidence: decision.confidence_score,
+              signals: decision.signals || [],
+              signal_summary: decision.signal_summary || {},
+              risk_reward_ratio: decision.risk_reward_ratio,
+              timestamp: decision.timestamp || new Date().toISOString(),
+              pending_order: {
+                order_id: decision.decision_id,
+                action: decision.action === 'buy' ? 'b' : 's',
+                price: decision.entry_price,
+                sl: decision.sl,
+                tp: decision.tp,
+                mount: decision.volume,
+                reason: decision.decision_reason
+              }
             }
-          } else if (data.type === 'ai_entry_alert') {
-            // AI入场价提醒
-            console.log('收到AI入场价提醒:', data)
-            aiEntryAlerts.value.unshift(data)
-            // 只保留最近10条
-            if (aiEntryAlerts.value.length > 10) {
-              aiEntryAlerts.value.pop()
+            decisionAlerts.value.unshift(alert)
+            if (decisionAlerts.value.length > 10) {
+              decisionAlerts.value.pop()
             }
-          } else if (data.type === 'key_level_alert') {
-            // 关键点位订单提醒
-            console.log('收到关键点位订单提醒:', data)
-            keyLevelAlerts.value.unshift(data)
-            // 只保留最近10条
-            if (keyLevelAlerts.value.length > 10) {
-              keyLevelAlerts.value.pop()
+          } else if (data.type === 'pending_order') {
+            // 订单状态更新（确认后）
+            console.log('收到订单更新:', data)
+            const order = data.data
+            // 更新对应的 alert
+            const alertIndex = decisionAlerts.value.findIndex(
+              a => a.pending_order?.order_id === order.order_id
+            )
+            if (alertIndex >= 0) {
+              decisionAlerts.value[alertIndex].pending_order = {
+                ...decisionAlerts.value[alertIndex].pending_order,
+                ...order,
+                confirmed: true
+              }
             }
           } else if (data.type === 'connected') {
             wsConnected.value = true
@@ -1240,24 +988,21 @@ export default {
       }
     }
 
-    // 从提醒列表中移除
-    const removeAlert = (index) => {
-      pivotAlerts.value.splice(index, 1)
+    // 决策提醒操作
+    const removeDecisionAlert = (index) => {
+      decisionAlerts.value.splice(index, 1)
     }
 
-    // 确认提醒中的订单（可修改参数）
-    const confirmAlertOrder = async (order, alertIndex) => {
+    const confirmDecisionOrder = async (order, alertIndex) => {
       confirmingOrderId.value = order.order_id
       try {
-        // 发送修改后的订单数据
         const data = await marketAPI.confirmOrderWithUpdate(order.order_id, {
           mount: order.mount,
           sl: order.sl,
           tp: order.tp
         })
         if (data.status === 'ok') {
-          // 移除该提醒
-          pivotAlerts.value.splice(alertIndex, 1)
+          decisionAlerts.value.splice(alertIndex, 1)
           await loadPendingOrders()
         } else {
           errorMessage.value = data.message || '确认订单失败'
@@ -1271,14 +1016,12 @@ export default {
       }
     }
 
-    // 放弃提醒中的订单
-    const rejectAlertOrder = async (orderId, alertIndex) => {
+    const rejectDecisionOrder = async (orderId, alertIndex) => {
       rejectingOrderId.value = orderId
       try {
         const data = await marketAPI.rejectOrder(orderId)
         if (data.status === 'ok') {
-          // 移除该提醒
-          pivotAlerts.value.splice(alertIndex, 1)
+          decisionAlerts.value.splice(alertIndex, 1)
           await loadPendingOrders()
         } else {
           errorMessage.value = data.message || '放弃订单失败'
@@ -1292,98 +1035,67 @@ export default {
       }
     }
 
-    // AI入场价提醒操作
-    const removeAiEntryAlert = (index) => {
-      aiEntryAlerts.value.splice(index, 1)
-    }
-
-    const confirmAiEntryOrder = async (order, alertIndex) => {
-      confirmingOrderId.value = order.order_id
-      try {
-        const data = await marketAPI.confirmOrderWithUpdate(order.order_id, {
-          mount: order.mount,
-          sl: order.sl,
-          tp: order.tp
-        })
-        if (data.status === 'ok') {
-          aiEntryAlerts.value.splice(alertIndex, 1)
-          await loadPendingOrders()
-        } else {
-          errorMessage.value = data.message || '确认订单失败'
-          showError.value = true
-        }
-      } catch (err) {
-        errorMessage.value = `确认订单失败: ${err.message}`
-        showError.value = true
-      } finally {
-        confirmingOrderId.value = null
+    // 辅助方法
+    const getSignalSourceColor = (source) => {
+      const colors = {
+        'pivot': 'primary',
+        'key_level': 'success',
+        'ai_entry': 'info'
       }
+      return colors[source] || 'grey'
     }
 
-    const rejectAiEntryOrder = async (orderId, alertIndex) => {
-      rejectingOrderId.value = orderId
-      try {
-        const data = await marketAPI.rejectOrder(orderId)
-        if (data.status === 'ok') {
-          aiEntryAlerts.value.splice(alertIndex, 1)
-          await loadPendingOrders()
-        } else {
-          errorMessage.value = data.message || '放弃订单失败'
-          showError.value = true
-        }
-      } catch (err) {
-        errorMessage.value = `放弃订单失败: ${err.message}`
-        showError.value = true
-      } finally {
-        rejectingOrderId.value = null
+    // 格式化信号标签（显示周期）
+    const formatSignalLabel = (signal) => {
+      const source = signal.source || ''
+      const period = signal.source_period || signal.ai_analysis_period || ''
+      const confidence = signal.confidence || 0
+
+      // 显示信号源名称
+      const sourceNames = {
+        'pivot': 'Pivot',
+        'key_level': 'KeyLevel',
+        'ai_entry': 'AI'
       }
-    }
+      const sourceName = sourceNames[source] || source
 
-    // 关键点位订单提醒操作
-    const removeKeyLevelAlert = (index) => {
-      keyLevelAlerts.value.splice(index, 1)
-    }
-
-    const confirmKeyLevelOrder = async (order, alertIndex) => {
-      confirmingOrderId.value = order.order_id
-      try {
-        const data = await marketAPI.confirmOrderWithUpdate(order.order_id, {
-          mount: order.mount,
-          sl: order.sl,
-          tp: order.tp
-        })
-        if (data.status === 'ok') {
-          keyLevelAlerts.value.splice(alertIndex, 1)
-          await loadPendingOrders()
-        } else {
-          errorMessage.value = data.message || '确认订单失败'
-          showError.value = true
-        }
-      } catch (err) {
-        errorMessage.value = `确认订单失败: ${err.message}`
-        showError.value = true
-      } finally {
-        confirmingOrderId.value = null
+      // 如果有周期，显示周期
+      if (period) {
+        return `${sourceName}[${period}] (${confidence}%)`
       }
+      return `${sourceName} (${confidence}%)`
     }
 
-    const rejectKeyLevelOrder = async (orderId, alertIndex) => {
-      rejectingOrderId.value = orderId
-      try {
-        const data = await marketAPI.rejectOrder(orderId)
-        if (data.status === 'ok') {
-          keyLevelAlerts.value.splice(alertIndex, 1)
-          await loadPendingOrders()
-        } else {
-          errorMessage.value = data.message || '放弃订单失败'
-          showError.value = true
-        }
-      } catch (err) {
-        errorMessage.value = `放弃订单失败: ${err.message}`
-        showError.value = true
-      } finally {
-        rejectingOrderId.value = null
+    // 获取可见的信号列表
+    const getVisibleSignals = (alert) => {
+      if (!alert.signals) return []
+      const alertIndex = decisionAlerts.value.indexOf(alert)
+      if (expandedSignals.value.has(alertIndex)) {
+        return alert.signals
       }
+      return alert.signals.slice(0, 3)
+    }
+
+    // 切换信号展开状态
+    const toggleSignalExpand = (index) => {
+      if (expandedSignals.value.has(index)) {
+        expandedSignals.value.delete(index)
+      } else {
+        expandedSignals.value.add(index)
+      }
+      // 触发响应式更新
+      expandedSignals.value = new Set(expandedSignals.value)
+    }
+
+    // 检查信号是否展开
+    const isSignalExpanded = (index) => {
+      return expandedSignals.value.has(index)
+    }
+
+    const formatTime = (timestamp) => {
+      if (!timestamp) return ''
+      const date = new Date(timestamp)
+      return date.toLocaleString('zh-CN')
     }
 
     const getTrendColor = (trend) => {
@@ -1439,7 +1151,7 @@ export default {
       lowPivots,
       marketStatus,
       thresholds,
-      pivotAlerts,
+      decisionAlerts,
       loading,
       showError,
       errorMessage,
@@ -1455,22 +1167,19 @@ export default {
       rejectOrder,
       getTrendColor,
       getTrendLabel,
-      // 提醒订单操作
+      // 决策订单操作
       confirmingOrderId,
       rejectingOrderId,
-      removeAlert,
-      confirmAlertOrder,
-      rejectAlertOrder,
-      // AI入场价提醒
-      aiEntryAlerts,
-      removeAiEntryAlert,
-      confirmAiEntryOrder,
-      rejectAiEntryOrder,
-      // 关键点位订单提醒
-      keyLevelAlerts,
-      removeKeyLevelAlert,
-      confirmKeyLevelOrder,
-      rejectKeyLevelOrder,
+      removeDecisionAlert,
+      confirmDecisionOrder,
+      rejectDecisionOrder,
+      getSignalSourceColor,
+      formatTime,
+      // 信号显示
+      formatSignalLabel,
+      getVisibleSignals,
+      toggleSignalExpand,
+      isSignalExpanded,
       // 大模型分析
       llmStatus,
       llmAnalysis,
diff --git a/frontend/src/views/Positions.vue b/frontend/src/views/Positions.vue
index 62b20ad..f51d074 100644
--- a/frontend/src/views/Positions.vue
+++ b/frontend/src/views/Positions.vue
@@ -62,11 +62,11 @@
         <!-- 持仓列表 -->
         <v-card-text>
           <v-btn color="primary" small class="mb-3" @click="loadPositions" :loading="loading">
-            <v-icon left small>mdi-refresh</v-icon>
+            <v-icon start small>mdi-refresh</v-icon>
             刷新
           </v-btn>
 
-          <v-simple-table v-if="positions.length > 0">
+          <v-table v-if="positions.length > 0">
             <template v-slot:default>
               <thead>
                 <tr>
@@ -87,7 +87,7 @@
                   <td>{{ pos.ticket }}</td>
                   <td><strong>{{ pos.symbol }}</strong></td>
                   <td>
-                    <v-chip x-small :color="pos.type === 'BUY' ? 'success' : 'error'">
+                    <v-chip size="x-small" :color="pos.type === 'BUY' ? 'success' : 'error'">
                       {{ pos.type === 'BUY' ? '买入' : '卖出' }}
                     </v-chip>
                   </td>
@@ -100,14 +100,14 @@
                   <td>{{ pos.distance_tp || '-' }}</td>
                   <td>{{ formatTime(pos.updated_at) }}</td>
                   <td>
-                    <v-btn x-small color="error" outlined @click="closePosition(pos)">
+                    <v-btn size="x-small" color="error" outlined @click="closePosition(pos)">
                       平仓
                     </v-btn>
                   </td>
                 </tr>
               </tbody>
             </template>
-          </v-simple-table>
+          </v-table>
           <div v-else class="text-center grey--text py-8">
             <v-icon large>mdi-folder-open-outline</v-icon>
             <div class="mt-2">暂无持仓</div>
@@ -119,7 +119,7 @@
       <v-tab-item>
         <v-card-text>
           <v-btn color="primary" small class="mb-3" @click="loadTradeHistory" :loading="historyLoading">
-            <v-icon left small>mdi-refresh</v-icon>
+            <v-icon start small>mdi-refresh</v-icon>
             刷新
           </v-btn>
 
@@ -242,7 +242,7 @@
 
           <!-- 成交列表 -->
           <div class="text-subtitle-1 font-weight-bold mb-2">成交记录</div>
-          <v-simple-table v-if="tradeDeals.length > 0" fixed-header height="400">
+          <v-table v-if="tradeDeals.length > 0" fixed-header height="400">
             <template v-slot:default>
               <thead>
                 <tr>
@@ -263,12 +263,12 @@
                   <td>{{ deal.ticket }}</td>
                   <td><strong>{{ deal.symbol }}</strong></td>
                   <td>
-                    <v-chip x-small :color="deal.type === 0 ? 'success' : 'error'">
+                    <v-chip size="x-small" :color="deal.type === 0 ? 'success' : 'error'">
                       {{ deal.type_text }}
                     </v-chip>
                   </td>
                   <td>
-                    <v-chip x-small outlined :color="deal.entry === 1 ? 'warning' : 'info'">
+                    <v-chip size="x-small" outlined :color="deal.entry === 1 ? 'warning' : 'info'">
                       {{ deal.entry_text }}
                     </v-chip>
                   </td>
@@ -280,16 +280,16 @@
                   <td>{{ deal.commission.toFixed(2) }}</td>
                   <td>{{ deal.time }}</td>
                   <td>
-                    <v-chip v-if="deal.order_source === '自动'" x-small color="primary">
+                    <v-chip v-if="deal.order_source === '自动'" size="x-small" color="primary">
                       {{ deal.comment }}
                     </v-chip>
-                    <v-chip v-else-if="deal.order_source === '止损触发'" x-small color="error" outlined>
+                    <v-chip v-else-if="deal.order_source === '止损触发'" size="x-small" color="error" outlined>
                       {{ deal.comment }}
                     </v-chip>
-                    <v-chip v-else-if="deal.order_source === '止盈触发'" x-small color="success" outlined>
+                    <v-chip v-else-if="deal.order_source === '止盈触发'" size="x-small" color="success" outlined>
                       {{ deal.comment }}
                     </v-chip>
-                    <v-chip v-else-if="deal.order_source === '强制平仓'" x-small color="error" dark>
+                    <v-chip v-else-if="deal.order_source === '强制平仓'" size="x-small" color="error" dark>
                       {{ deal.comment }}
                     </v-chip>
                     <span v-else class="grey--text">{{ deal.order_source }}</span>
@@ -297,7 +297,7 @@
                 </tr>
               </tbody>
             </template>
-          </v-simple-table>
+          </v-table>
           <div v-else class="text-center grey--text py-8">
             <v-icon large>mdi-history</v-icon>
             <div class="mt-2">暂无历史交易数据</div>
diff --git a/frontend/src/views/Settings.vue b/frontend/src/views/Settings.vue
index 2875ab2..fb0b142 100644
--- a/frontend/src/views/Settings.vue
+++ b/frontend/src/views/Settings.vue
@@ -27,7 +27,7 @@
 
             <!-- 品种配置表格 -->
             <div class="text-subtitle-2 mt-2 mb-2">品种配置</div>
-            <v-simple-table dense>
+            <v-table density="compact">
               <template v-slot:default>
                 <thead>
                   <tr>
@@ -88,13 +88,13 @@
                       ></v-text-field>
                     </td>
                     <td>
-                      <v-btn x-small color="primary" @click="saveTradeConfig">保存</v-btn>
-                      <v-btn x-small color="error" outlined class="ml-1" @click="removeSymbolConfig(symbol)">删除</v-btn>
+                      <v-btn size="x-small" color="primary" @click="saveTradeConfig">保存</v-btn>
+                      <v-btn size="x-small" color="error" outlined class="ml-1" @click="removeSymbolConfig(symbol)">删除</v-btn>
                     </td>
                   </tr>
                 </tbody>
               </template>
-            </v-simple-table>
+            </v-table>
 
             <!-- 添加新品种配置 -->
             <v-row class="mt-3" align="center">
@@ -153,7 +153,7 @@
               </v-col>
               <v-col cols="2">
                 <v-btn color="primary" small @click="addSymbolConfig">
-                  <v-icon left small>mdi-plus</v-icon>
+                  <v-icon start small>mdi-plus</v-icon>
                   添加
                 </v-btn>
               </v-col>
@@ -161,8 +161,369 @@
 
             <div class="text-caption grey--text mt-3">
               <v-icon small>mdi-information</v-icon>
-              支撑压力策略: M1周期接近转折点时自动生成交易指令，止损偏移为固定点数。<br/>
-              关键点位策略: 价格接近关键点位时生成反向订单。例如下降趋势接近5000时生成买单。阈值表示触发距离（默认0.0008）。
+              品种基础配置：手数、止损偏移、关键点位等。
+            </div>
+          </v-card-text>
+        </v-card>
+      </v-col>
+    </v-row>
+
+    <!-- 策略配置 -->
+    <v-row class="mt-4">
+      <v-col cols="12">
+        <v-card>
+          <v-card-title>
+            <v-icon class="mr-2">mdi-strategy</v-icon>
+            策略配置
+            <v-btn icon small class="ml-2" @click="loadStrategies" :loading="strategiesLoading">
+              <v-icon small>mdi-refresh</v-icon>
+            </v-btn>
+          </v-card-title>
+          <v-card-text>
+            <!-- 策略列表 -->
+            <v-expansion-panels v-if="strategies.length > 0">
+              <v-expansion-panel v-for="strategy in strategies" :key="strategy.symbol">
+                <v-expansion-panel-title>
+                  <div class="d-flex align-center">
+                    <strong class="mr-3">{{ strategy.symbol }}</strong>
+                    <v-chip :color="strategy.enabled ? 'success' : 'grey'" size="x-small">
+                      {{ strategy.enabled ? '启用' : '禁用' }}
+                    </v-chip>
+                    <span class="text-caption grey--text ml-3">{{ strategy.strategy_name }}</span>
+                  </div>
+                </v-expansion-panel-title>
+                <v-expansion-panel-text>
+                  <!-- 基本信息 -->
+                  <v-row class="mb-3">
+                    <v-col cols="12" md="3">
+                      <v-switch
+                        v-model="strategy.enabled"
+                        label="启用策略"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-switch>
+                    </v-col>
+                    <v-col cols="12" md="3">
+                      <v-text-field
+                        v-model="strategy.strategy_name"
+                        label="策略名称"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="12" md="3">
+                      <v-text-field
+                        v-model.number="strategy.min_confidence"
+                        label="最低置信度(%)"
+                        type="number"
+                        min="0"
+                        max="100"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="12" md="3">
+                      <v-select
+                        v-model="strategy.consistency_requirement"
+                        :items="consistencyOptions"
+                        label="一致性要求"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-select>
+                    </v-col>
+                  </v-row>
+
+                  <!-- 信号权重 -->
+                  <div class="text-subtitle-2 mb-2">信号源配置</div>
+                  <v-row class="mb-3">
+                    <v-col cols="12">
+                      <v-table density="compact">
+                        <template v-slot:default>
+                          <thead>
+                            <tr>
+                              <th>信号源</th>
+                              <th>启用</th>
+                              <th>M1</th>
+                              <th>M5</th>
+                              <th>M15</th>
+                              <th>H1</th>
+                              <th>H4</th>
+                            </tr>
+                          </thead>
+                          <tbody>
+                            <!-- Pivot 信号 -->
+                            <tr>
+                              <td>
+                                <v-chip size="x-small" color="primary">Pivot</v-chip>
+                                <span class="ml-2 text-caption">转折点信号</span>
+                              </td>
+                              <td>
+                                <v-checkbox
+                                  v-model="getSignalConfig(strategy, 'pivot').enabled"
+                                  density="compact"
+                                  hide-details
+                                  @change="onSignalConfigChange(strategy, 'pivot')"
+                                ></v-checkbox>
+                              </td>
+                              <td v-for="period in ['M1', 'M5', 'M15', 'H1', 'H4']" :key="period">
+                                <div class="d-flex align-center">
+                                  <v-checkbox
+                                    v-model="getPeriodConfig(strategy, 'pivot', period).enabled"
+                                    density="compact"
+                                    hide-details
+                                    :disabled="!getSignalConfig(strategy, 'pivot').enabled"
+                                    @change="onSignalConfigChange(strategy, 'pivot')"
+                                  ></v-checkbox>
+                                  <v-text-field
+                                    v-model.number="getPeriodConfig(strategy, 'pivot', period).weight"
+                                    type="number"
+                                    min="0"
+                                    max="100"
+                                    density="compact"
+                                    hide-details
+                                    style="width: 50px"
+                                    :disabled="!getSignalConfig(strategy, 'pivot').enabled || !getPeriodConfig(strategy, 'pivot', period).enabled"
+                                    @change="onSignalConfigChange(strategy, 'pivot')"
+                                  ></v-text-field>
+                                </div>
+                              </td>
+                            </tr>
+                            <!-- KeyLevel 信号 -->
+                            <tr>
+                              <td>
+                                <v-chip size="x-small" color="success">KeyLevel</v-chip>
+                                <span class="ml-2 text-caption">关键点位信号</span>
+                              </td>
+                              <td>
+                                <v-checkbox
+                                  v-model="getSignalConfig(strategy, 'key_level').enabled"
+                                  density="compact"
+                                  hide-details
+                                  @change="onSignalConfigChange(strategy, 'key_level')"
+                                ></v-checkbox>
+                              </td>
+                              <td colspan="5">
+                                <v-text-field
+                                  v-model.number="getSignalConfig(strategy, 'key_level').weight"
+                                  label="权重"
+                                  type="number"
+                                  min="0"
+                                  max="100"
+                                  density="compact"
+                                  hide-details
+                                  style="width: 80px"
+                                  :disabled="!getSignalConfig(strategy, 'key_level').enabled"
+                                  @change="onSignalConfigChange(strategy, 'key_level')"
+                                ></v-text-field>
+                                <span class="text-caption grey--text ml-2">（不区分周期）</span>
+                              </td>
+                            </tr>
+                            <!-- AI Entry 信号 -->
+                            <tr>
+                              <td>
+                                <v-chip size="x-small" color="info">AI Entry</v-chip>
+                                <span class="ml-2 text-caption">AI入场信号</span>
+                              </td>
+                              <td>
+                                <v-checkbox
+                                  v-model="getSignalConfig(strategy, 'ai_entry').enabled"
+                                  density="compact"
+                                  hide-details
+                                  @change="onSignalConfigChange(strategy, 'ai_entry')"
+                                ></v-checkbox>
+                              </td>
+                              <td v-for="period in ['M1', 'M5', 'M15', 'H1', 'H4']" :key="period">
+                                <div class="d-flex align-center">
+                                  <v-checkbox
+                                    v-model="getPeriodConfig(strategy, 'ai_entry', period).enabled"
+                                    density="compact"
+                                    hide-details
+                                    :disabled="!getSignalConfig(strategy, 'ai_entry').enabled"
+                                    @change="onSignalConfigChange(strategy, 'ai_entry')"
+                                  ></v-checkbox>
+                                  <v-text-field
+                                    v-model.number="getPeriodConfig(strategy, 'ai_entry', period).weight"
+                                    type="number"
+                                    min="0"
+                                    max="100"
+                                    density="compact"
+                                    hide-details
+                                    style="width: 50px"
+                                    :disabled="!getSignalConfig(strategy, 'ai_entry').enabled || !getPeriodConfig(strategy, 'ai_entry', period).enabled"
+                                    @change="onSignalConfigChange(strategy, 'ai_entry')"
+                                  ></v-text-field>
+                                </div>
+                              </td>
+                            </tr>
+                          </tbody>
+                        </template>
+                      </v-table>
+                    </v-col>
+                  </v-row>
+
+                  <!-- 兼容旧版信号权重（隐藏但保留数据） -->
+                  <div class="text-caption grey--text mb-2">
+                    <v-icon small>mdi-information</v-icon>
+                    勾选启用周期，设置权重值。KeyLevel信号不区分周期，只需设置权重。
+                  </div>
+
+                  <!-- 仓位管理 -->
+                  <div class="text-subtitle-2 mb-2">仓位管理</div>
+                  <v-row class="mb-3">
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.fixed_volume"
+                        label="固定手数"
+                        type="number"
+                        step="0.01"
+                        min="0.01"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.max_positions"
+                        label="最大持仓数"
+                        type="number"
+                        min="1"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.max_same_direction"
+                        label="同向最大持仓"
+                        type="number"
+                        min="1"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.risk_percent"
+                        label="风险百分比(%)"
+                        type="number"
+                        min="0.1"
+                        step="0.1"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                  </v-row>
+
+                  <!-- 止损止盈 -->
+                  <div class="text-subtitle-2 mb-2">止损止盈规则</div>
+                  <v-row class="mb-3">
+                    <v-col cols="3">
+                      <v-select
+                        v-model="strategy.sl_mode"
+                        :items="slModeOptions"
+                        label="止损模式"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-select>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-select
+                        v-model="strategy.tp_mode"
+                        :items="tpModeOptions"
+                        label="止盈模式"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-select>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.min_risk_reward"
+                        label="最小盈亏比"
+                        type="number"
+                        min="0.5"
+                        step="0.5"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                    <v-col cols="3">
+                      <v-text-field
+                        v-model.number="strategy.tp_risk_reward"
+                        label="止盈盈亏比"
+                        type="number"
+                        min="1"
+                        step="0.5"
+                        dense
+                        hide-details
+                        @change="updateStrategy(strategy)"
+                      ></v-text-field>
+                    </v-col>
+                  </v-row>
+
+                  <!-- 操作按钮 -->
+                  <v-row>
+                    <v-col cols="12">
+                      <v-btn color="primary" small @click="updateStrategy(strategy)" :loading="strategySaving === strategy.symbol">
+                        <v-icon start small>mdi-content-save</v-icon>
+                        保存
+                      </v-btn>
+                      <v-btn color="error" small outlined class="ml-2" @click="deleteStrategy(strategy.symbol)">
+                        <v-icon start small>mdi-delete</v-icon>
+                        删除策略
+                      </v-btn>
+                    </v-col>
+                  </v-row>
+                </v-expansion-panel-text>
+              </v-expansion-panel>
+            </v-expansion-panels>
+
+            <div v-else class="text-center grey--text py-4">
+              <v-icon large>mdi-strategy</v-icon>
+              <div class="mt-2">暂无策略配置，添加品种后会自动创建默认策略</div>
+            </div>
+
+            <!-- 添加新策略 -->
+            <v-row class="mt-4" align="center">
+              <v-col cols="4">
+                <v-select
+                  v-model="newStrategySymbol"
+                  :items="symbolsWithoutStrategy"
+                  label="选择品种添加策略"
+                  dense
+                  hide-details
+                ></v-select>
+              </v-col>
+              <v-col cols="4">
+                <v-text-field
+                  v-model="newStrategyName"
+                  label="策略名称（可选）"
+                  dense
+                  hide-details
+                  placeholder="默认：Strategy_{品种}"
+                ></v-text-field>
+              </v-col>
+              <v-col cols="4">
+                <v-btn color="primary" small @click="addStrategy" :loading="strategySaving === 'new'">
+                  <v-icon start small>mdi-plus</v-icon>
+                  添加策略
+                </v-btn>
+              </v-col>
+            </v-row>
+
+            <div class="text-caption grey--text mt-3">
+              <v-icon small>mdi-information</v-icon>
+              策略配置：信号权重、过滤规则、仓位管理、止损止盈等。每个品种绑定一个策略。
             </div>
           </v-card-text>
         </v-card>
@@ -214,7 +575,7 @@
               <v-row class="mt-2">
                 <v-col cols="12">
                   <v-btn color="primary" @click="saveLLMConfig" :loading="llmSaving">
-                    <v-icon left>mdi-content-save</v-icon>
+                    <v-icon start>mdi-content-save</v-icon>
                     保存配置
                   </v-btn>
                   <v-chip
@@ -249,7 +610,7 @@
             </v-btn>
           </v-card-title>
           <v-card-text>
-            <v-simple-table dense v-if="symbolStatus.length > 0">
+            <v-table dense v-if="symbolStatus.length > 0">
               <template v-slot:default>
                 <thead>
                   <tr>
@@ -265,7 +626,7 @@
                   <tr v-for="item in symbolStatus" :key="item.symbol">
                     <td><strong>{{ item.symbol }}</strong></td>
                     <td>
-                      <v-chip x-small :color="item.has_data ? 'success' : 'error'">
+                      <v-chip size="x-small" :color="item.has_data ? 'success' : 'error'">
                         {{ item.has_data ? '有数据' : '无数据' }}
                       </v-chip>
                     </td>
@@ -276,14 +637,14 @@
                       <span v-else>-</span>
                     </td>
                     <td>
-                      <v-chip x-small :color="getMarketStatusColor(item.market_status)">
+                      <v-chip size="x-small" :color="getMarketStatusColor(item.market_status)">
                         {{ getMarketStatusText(item.market_status) }}
                       </v-chip>
                     </td>
                   </tr>
                 </tbody>
               </template>
-            </v-simple-table>
+            </v-table>
             <div v-else class="text-center grey--text py-4">
               <v-icon large>mdi-database-off</v-icon>
               <div class="mt-2">暂无已配置的品种</div>
@@ -299,12 +660,12 @@
     </v-row>
 
     <!-- 错误提示 -->
-    <v-snackbar v-model="showError" color="error" timeout="5000">
+    <v-snackbar v-model="showError" color="error" timeout="5000" location="top">
       {{ errorMessage }}
     </v-snackbar>
 
     <!-- 成功提示 -->
-    <v-snackbar v-model="showSuccess" color="success" timeout="3000">
+    <v-snackbar v-model="showSuccess" color="success" timeout="3000" location="top">
       {{ successMessage }}
     </v-snackbar>
   </v-container>
@@ -534,11 +895,213 @@ export default {
       }
     }
 
+    // ==================== 策略配置 ====================
+
+    // 策略数据
+    const strategies = ref([])
+    const strategiesLoading = ref(false)
+    const strategySaving = ref(null)
+    const newStrategySymbol = ref('')
+    const newStrategyName = ref('')
+
+    // 策略选项
+    const consistencyOptions = [
+      { title: '任一信号即可', value: 'any' },
+      { title: '多数信号一致', value: 'majority' },
+      { title: '所有信号一致', value: 'all' }
+    ]
+
+    const slModeOptions = [
+      { title: '使用信号建议', value: 'signal' },
+      { title: '固定点数', value: 'fixed_points' }
+    ]
+
+    const tpModeOptions = [
+      { title: '使用信号建议', value: 'signal' },
+      { title: '固定点数', value: 'fixed_points' },
+      { title: '风险回报比', value: 'risk_reward' }
+    ]
+
+    // 没有策略的品种
+    const symbolsWithoutStrategy = computed(() => {
+      const strategySymbols = strategies.value.map(s => s.symbol)
+      return symbols.value.filter(s => !strategySymbols.includes(s))
+    })
+
+    // 加载策略列表
+    const loadStrategies = async () => {
+      strategiesLoading.value = true
+      try {
+        const data = await marketAPI.getStrategies()
+        if (data.status === 'ok') {
+          strategies.value = data.strategies || []
+        }
+      } catch (err) {
+        console.error('加载策略配置失败:', err)
+      } finally {
+        strategiesLoading.value = false
+      }
+    }
+
+    // 更新策略
+    const updateStrategy = async (strategy) => {
+      strategySaving.value = strategy.symbol
+      try {
+        // 确保signal_config存在
+        if (!strategy.signal_config) {
+          strategy.signal_config = {
+            pivot: {
+              enabled: true,
+              periods: {
+                M1: { enabled: true, weight: 15 },
+                M5: { enabled: true, weight: 20 },
+                M15: { enabled: false, weight: 25 },
+                H1: { enabled: false, weight: 20 },
+                H4: { enabled: false, weight: 20 }
+              }
+            },
+            key_level: { enabled: true, weight: 40 },
+            ai_entry: {
+              enabled: true,
+              periods: {
+                M1: { enabled: false, weight: 15 },
+                M5: { enabled: true, weight: 20 },
+                M15: { enabled: true, weight: 30 },
+                H1: { enabled: true, weight: 25 },
+                H4: { enabled: false, weight: 20 }
+              }
+            }
+          }
+        }
+
+        const data = await marketAPI.updateStrategy(strategy.symbol, {
+          enabled: strategy.enabled,
+          strategy_name: strategy.strategy_name,
+          min_confidence: strategy.min_confidence,
+          consistency_requirement: strategy.consistency_requirement,
+          signal_config: strategy.signal_config,
+          signal_weights: strategy.signal_weights,
+          fixed_volume: strategy.fixed_volume,
+          max_positions: strategy.max_positions,
+          max_same_direction: strategy.max_same_direction,
+          risk_percent: strategy.risk_percent,
+          sl_mode: strategy.sl_mode,
+          tp_mode: strategy.tp_mode,
+          min_risk_reward: strategy.min_risk_reward,
+          tp_risk_reward: strategy.tp_risk_reward
+        })
+        if (data.status === 'ok') {
+          successMessage.value = `${strategy.symbol} 策略配置已保存`
+          showSuccess.value = true
+          // 更新本地策略数据
+          if (data.strategy) {
+            Object.assign(strategy, data.strategy)
+          }
+        } else {
+          errorMessage.value = data.message || '保存失败'
+          showError.value = true
+        }
+      } catch (err) {
+        console.error('保存策略失败:', err)
+        errorMessage.value = `保存策略失败: ${err.message}`
+        showError.value = true
+      } finally {
+        strategySaving.value = null
+      }
+    }
+
+    // 获取信号源配置
+    const getSignalConfig = (strategy, source) => {
+      if (!strategy.signal_config) {
+        strategy.signal_config = {
+          pivot: { enabled: true, periods: {} },
+          key_level: { enabled: true, weight: 40 },
+          ai_entry: { enabled: true, periods: {} }
+        }
+      }
+      if (!strategy.signal_config[source]) {
+        if (source === 'key_level') {
+          strategy.signal_config[source] = { enabled: true, weight: 40 }
+        } else {
+          strategy.signal_config[source] = { enabled: true, periods: {} }
+        }
+      }
+      return strategy.signal_config[source]
+    }
+
+    // 获取周期配置
+    const getPeriodConfig = (strategy, source, period) => {
+      const config = getSignalConfig(strategy, source)
+      if (source === 'key_level') {
+        return { enabled: true, weight: config.weight || 40 }
+      }
+      if (!config.periods) {
+        config.periods = {}
+      }
+      if (!config.periods[period]) {
+        config.periods[period] = { enabled: false, weight: 20 }
+      }
+      return config.periods[period]
+    }
+
+    // 信号配置变更处理
+    const onSignalConfigChange = (strategy, source) => {
+      // 触发保存
+      updateStrategy(strategy)
+    }
+
+    // 删除策略
+    const deleteStrategy = async (symbol) => {
+      if (!confirm(`确定要删除 ${symbol} 的策略配置吗？`)) return
+      try {
+        const data = await marketAPI.deleteStrategy(symbol)
+        if (data.status === 'ok') {
+          successMessage.value = '策略已删除'
+          showSuccess.value = true
+          await loadStrategies()
+        } else {
+          errorMessage.value = data.message || '删除失败'
+          showError.value = true
+        }
+      } catch (err) {
+        errorMessage.value = `删除策略失败: ${err.message}`
+        showError.value = true
+      }
+    }
+
+    // 添加策略
+    const addStrategy = async () => {
+      if (!newStrategySymbol.value) return
+      strategySaving.value = 'new'
+      try {
+        const data = await marketAPI.updateStrategy(newStrategySymbol.value, {
+          enabled: true,
+          strategy_name: newStrategyName.value || `Strategy_${newStrategySymbol.value}`
+        })
+        if (data.status === 'ok') {
+          successMessage.value = '策略已添加'
+          showSuccess.value = true
+          newStrategySymbol.value = ''
+          newStrategyName.value = ''
+          await loadStrategies()
+        } else {
+          errorMessage.value = data.message || '添加失败'
+          showError.value = true
+        }
+      } catch (err) {
+        errorMessage.value = `添加策略失败: ${err.message}`
+        showError.value = true
+      } finally {
+        strategySaving.value = null
+      }
+    }
+
     onMounted(() => {
       loadSymbols()
       loadTradeConfig()
       loadLLMConfig()
       loadSymbolStatus()
+      loadStrategies()
     })
 
     return {
@@ -567,7 +1130,25 @@ export default {
       symbolStatusLoading,
       loadSymbolStatus,
       getMarketStatusColor,
-      getMarketStatusText
+      getMarketStatusText,
+      // 策略配置
+      strategies,
+      strategiesLoading,
+      strategySaving,
+      newStrategySymbol,
+      newStrategyName,
+      consistencyOptions,
+      slModeOptions,
+      tpModeOptions,
+      symbolsWithoutStrategy,
+      loadStrategies,
+      updateStrategy,
+      deleteStrategy,
+      addStrategy,
+      // 信号配置
+      getSignalConfig,
+      getPeriodConfig,
+      onSignalConfigChange
     }
   }
 }
diff --git a/main.py b/main.py
index ac65e26..511e929 100644
--- a/main.py
+++ b/main.py
@@ -70,22 +70,21 @@ def create_app():
     app.include_router(create_trader_routes(server))
     app.include_router(create_system_routes(server))
     app.include_router(create_market_routes(
-        server.market_store,
-        server.pivot_detector,
-        server.pivot_monitor,
-        server.trend_analyzer,
-        server.pending_orders,
-        server.llm_analyzer
+        server.kline_store,
+        server.kline_service,
+        server.pivot_service,
+        server.tech_service,
+        server.pending_order_service,
+        trading_server=server
     ))
-    app.include_router(create_position_routes())
+    app.include_router(create_position_routes(trading_server=server))
     app.include_router(create_news_routes())
 
     # 启动时设置事件循环
     @app.on_event("startup")
     async def startup_event():
         loop = asyncio.get_running_loop()
-        server.llm_analyzer.set_event_loop(loop)
-        server.pivot_monitor.set_event_loop(loop)
+        server.set_event_loop(loop)
 
         # 设置系统日志的事件循环
         from market.system_log import get_system_log
@@ -95,14 +94,14 @@ def create_app():
         # 记录系统启动日志
         system_log.add_log("system_startup", message="服务已启动")
 
-        # 启动新闻监控后台任务
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
-        news_monitor.set_event_loop(loop)
-        asyncio.create_task(news_monitor.run())
+        # 启动市场事件监控后台任务
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
+        monitor.set_event_loop(loop)
+        asyncio.create_task(monitor.run())
 
         print("[Startup] 事件循环已设置")
-        print("[Startup] 新闻监控已启动")
+        print("[Startup] 市场事件监控已启动")
 
     return app
 
diff --git a/market/__init__.py b/market/__init__.py
index 925dba2..adb3e4b 100644
--- a/market/__init__.py
+++ b/market/__init__.py
@@ -4,9 +4,39 @@
 行情分析模块
 """
 
-from .store import MarketStore
-from .pivot_detector import PivotDetector
-from .monitor import PivotMonitor
-from .trend_analyzer import TrendAnalyzer
+# 数据模型
+from .models import (
+    KlineData, PivotPoint,
+    LLMConfig, LLMAnalysisResult,
+    TechTrendState, TechTrendChange, TechResonanceResult, TechTradeSuggestion
+)
 
-__all__ = ['MarketStore', 'PivotDetector', 'PivotMonitor', 'TrendAnalyzer']
\ No newline at end of file
+# 存储层
+from .store import KlineStore, PivotStore, LLMStore, TechStore
+
+# 服务层
+from .services import KlineService, PivotService, LLMService, TechService
+
+# 其他模块
+from .llm_analyzer import LLMAnalyzer
+from .trade_config import TradeConfig
+
+# 兼容旧代码的别名
+MarketStore = KlineStore
+PivotDetector = PivotService
+TrendAnalyzer = TechService
+
+__all__ = [
+    # 数据模型
+    'KlineData', 'PivotPoint',
+    'LLMConfig', 'LLMAnalysisResult',
+    'TechTrendState', 'TechTrendChange', 'TechResonanceResult', 'TechTradeSuggestion',
+    # 存储层
+    'KlineStore', 'PivotStore', 'LLMStore', 'TechStore',
+    # 服务层
+    'KlineService', 'PivotService', 'LLMService', 'TechService',
+    # 其他模块
+    'LLMAnalyzer', 'TradeConfig',
+    # 兼容别名
+    'MarketStore', 'PivotDetector', 'TrendAnalyzer'
+]
\ No newline at end of file
diff --git a/market/llm_analyzer.py b/market/llm_analyzer.py
index 5e74a24..d5058e9 100644
--- a/market/llm_analyzer.py
+++ b/market/llm_analyzer.py
@@ -1,108 +1,38 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 """
-大模型行情趋势分析模块
-使用大语言模型分析K线数据，生成趋势判断和交易建议
+LLM 分析器
+负责定时调度和 WebSocket 广播
 """
 
-import os
-import json
 import threading
 import asyncio
-import requests
+import json
 from datetime import datetime
-from typing import List, Dict, Optional, Set
-from collections import defaultdict
-
-# 加载 .env 文件
-try:
-    from dotenv import load_dotenv
-    load_dotenv()
-except ImportError:
-    pass
+from typing import Dict, Set, Optional
 
+from .services import LLMService
 from .system_log import get_system_log
 
 
 class LLMAnalyzer:
-    """大模型行情分析器"""
+    """LLM 分析器（调度 + WebSocket 广播）"""
 
     # 分析间隔（秒）
     ANALYZE_INTERVAL = 300  # 5分钟
 
-    # 趋势类型
-    TREND_TYPES = [
-        "单边上涨",
-        "单边下跌",
-        "区间震荡",
-        "震荡上升",
-        "震荡下跌",
-        "震荡收窄",
-        "震荡扩大"
-    ]
+    def __init__(self, llm_service: LLMService):
+        self.llm_service = llm_service
 
-    # 各周期K线数量限制
-    KLINE_LIMITS = {
-        'H4': 20,   # 4小时，发送最近20根
-        'H1': 24,   # 1小时，发送最近24根（一天）
-        'M15': 32,  # 15分钟，发送最近32根（8小时）
-        'M5': 48,   # 5分钟，发送最近48根（4小时）
-        'M1': 60    # 1分钟，发送最近60根（1小时）
-    }
-
-    # 配置文件路径
-    CONFIG_FILE = os.path.join(os.path.dirname(os.path.dirname(__file__)), "data", "llm_config.json")
-
-    def __init__(self, market_store):
-        """
-        初始化大模型分析器
-
-        Args:
-            market_store: K线存储对象
-        """
-        self.market_store = market_store
-
-        # 存储分析结果: {SYMBOL: analysis_result}
-        self._analysis_results = {}
-        self._last_analysis_time = None
-        self._lock = threading.RLock()
-
-        # WebSocket连接管理
+        # WebSocket 连接管理
         self._ws_clients: Set = set()
         self._ws_lock = threading.Lock()
 
-        # 主事件循环引用（在FastAPI启动时设置）
+        # 主事件循环引用
         self._main_loop = None
 
-        # 已提醒的AI入场价记录（避免重复提醒）
-        # 结构: {(symbol, period, direction, entry_price): datetime}
-        self._alerted_entries: Dict[tuple, datetime] = {}
-        self._entry_alert_lock = threading.Lock()
-
-        # AI入场价提醒冷却时间（秒）
-        self.entry_alert_cooldown = 300  # 5分钟
-
-        # 配置（先从文件加载，再从环境变量补充）
-        self._api_key = ""
-        self._api_base = "https://api.openai.com/v1"
-        self._model = "gpt-4o-mini"
-        self._enabled = False
-
-        # 从文件加载配置
-        self._load_from_file()
-
-        # 环境变量覆盖（如果文件中没有配置）
-        if not self._api_key and os.environ.get("LLM_API_KEY"):
-            self._api_key = os.environ.get("LLM_API_KEY", "")
-        if not self._api_base or self._api_base == "https://api.openai.com/v1":
-            self._api_base = os.environ.get("LLM_API_BASE", "https://api.openai.com/v1")
-        if not self._model or self._model == "gpt-4o-mini":
-            self._model = os.environ.get("LLM_MODEL", "gpt-4o-mini")
-
-        self._enabled = bool(self._api_key)
-
         # 启动定时分析线程
-        if self._enabled:
+        if self.llm_service.is_enabled():
             self._start_analyze_thread()
             print("[LLMAnalyzer] 大模型分析器已初始化（已启用）")
         else:
@@ -113,61 +43,11 @@ class LLMAnalyzer:
         self._main_loop = loop
         print(f"[LLMAnalyzer] 已设置主事件循环")
 
-    def _load_from_file(self):
-        """从文件加载配置"""
-        try:
-            if os.path.exists(self.CONFIG_FILE):
-                with open(self.CONFIG_FILE, 'r', encoding='utf-8') as f:
-                    data = json.load(f)
-                    self._api_key = data.get("api_key", "")
-                    self._api_base = data.get("api_base", "https://api.openai.com/v1")
-                    self._model = data.get("model", "gpt-4o-mini")
-                print(f"[LLMAnalyzer] 已从文件加载配置: {self.CONFIG_FILE}")
-        except Exception as e:
-            print(f"[LLMAnalyzer] 加载配置文件失败: {e}")
-
-    def _save_to_file(self):
-        """保存配置到文件"""
-        try:
-            # 确保目录存在
-            config_dir = os.path.dirname(self.CONFIG_FILE)
-            os.makedirs(config_dir, exist_ok=True)
-
-            data = {
-                "api_key": self._api_key,
-                "api_base": self._api_base,
-                "model": self._model
-            }
-            with open(self.CONFIG_FILE, 'w', encoding='utf-8') as f:
-                json.dump(data, f, indent=2, ensure_ascii=False)
-            print(f"[LLMAnalyzer] 配置已保存到文件")
-        except Exception as e:
-            print(f"[LLMAnalyzer] 保存配置文件失败: {e}")
-
-    def get_config(self) -> Dict:
-        """获取当前配置（API Key会脱敏显示）"""
-        # 脱敏API Key：只显示前4位和后4位
-        masked_key = ""
-        if self._api_key:
-            if len(self._api_key) > 8:
-                masked_key = self._api_key[:4] + "****" + self._api_key[-4:]
-            else:
-                masked_key = "****"
-
-        return {
-            "api_key": masked_key,
-            "api_key_set": bool(self._api_key),
-            "api_base": self._api_base,
-            "model": self._model,
-            "enabled": self._enabled
-        }
-
     def _start_analyze_thread(self):
         """启动定时分析线程"""
         def analyze_loop():
-            # 等待事件循环设置完成
             import time
-            time.sleep(5)  # 等待5秒让服务完全启动
+            time.sleep(5)  # 等待服务启动
             print("[LLMAnalyzer] 分析线程启动，开始第一次分析...")
 
             while True:
@@ -177,7 +57,7 @@ class LLMAnalyzer:
                     print(f"[LLMAnalyzer] 分析异常: {e}")
                     import traceback
                     traceback.print_exc()
-                # 等待5分钟
+
                 threading.Event().wait(self.ANALYZE_INTERVAL)
 
         thread = threading.Thread(target=analyze_loop, daemon=True)
@@ -185,465 +65,82 @@ class LLMAnalyzer:
         print("[LLMAnalyzer] 分析线程已创建")
 
     def _run_analysis(self):
-        """执行分析 - 合并所有品种到一次请求（流式输出）"""
-        symbols = self.market_store.get_symbols()
-        print(f"[LLMAnalyzer] _run_analysis 调用，获取到 {len(symbols) if symbols else 0} 个品种")
+        """执行分析"""
+        def on_status(status: str, message: str):
+            self._broadcast_analysis_status(status, message)
 
-        if not symbols:
-            print("[LLMAnalyzer] 没有品种数据，跳过分析")
-            return
+        def on_complete(response):
+            if response:
+                self._broadcast_analysis_update()
 
-        print(f"[LLMAnalyzer] 开始分析 {len(symbols)} 个品种: {symbols}")
+        self.llm_service.run_analysis(on_status=on_status, on_complete=on_complete)
 
-        # 广播分析开始
-        self._broadcast_analysis_status("analyzing", f"正在检查 {len(symbols)} 个品种的数据更新状态...")
-
-        # 检查每个品种的M1 K线更新状态（3分钟内有效）
-        STALE_THRESHOLD = 180  # 3分钟
-
-        active_symbols = []  # 有数据更新的品种
-        stale_symbols = []   # 数据过期的品种
-
-        for symbol in symbols:
-            m1_status = self.market_store.check_m1_updated_within(symbol, STALE_THRESHOLD)
-            market_status = m1_status.get("market_status", "closed")
-
-            if market_status == "active":
-                active_symbols.append(symbol)
-                print(f"[LLMAnalyzer] {symbol} M1数据有效，距今 {m1_status['seconds_ago']} 秒")
-            elif market_status == "stale":
-                stale_symbols.append(symbol)
-                print(f"[LLMAnalyzer] {symbol} M1数据过期，距今 {m1_status['seconds_ago']} 秒，跳过分析")
-            else:  # closed
-                stale_symbols.append(symbol)
-                print(f"[LLMAnalyzer] {symbol} 休市中，无新数据，跳过分析")
-                # 标记休市状态
-                with self._lock:
-                    if symbol in self._analysis_results:
-                        self._analysis_results[symbol]["market_status"] = "closed"
-                    else:
-                        # 没有历史分析结果，创建一个标记休市的记录
-                        self._analysis_results[symbol] = {
-                            "symbol": symbol,
-                            "analysis": None,
-                            "analyzed_at": None,
-                            "market_status": "closed",
-                            "data_stale": True
-                        }
-
-        # 更新过期品种的状态标记（不包括休市品种，它们已经在上面处理了）
-        with self._lock:
-            for symbol in stale_symbols:
-                m1_status = self.market_store.check_m1_updated_within(symbol, STALE_THRESHOLD)
-                if m1_status.get("market_status") == "stale" and symbol in self._analysis_results:
-                    # 保留上次分析结果，但标记为过期
-                    self._analysis_results[symbol]["data_stale"] = True
-                    self._analysis_results[symbol]["market_status"] = "stale"
-                    self._analysis_results[symbol]["stale_seconds"] = m1_status.get("seconds_ago")
-
-        # 如果没有活跃品种，广播状态并返回
-        if not active_symbols:
-            print("[LLMAnalyzer] 所有品种数据均过期，跳过大模型调用")
-            self._broadcast_analysis_status("stale", "所有品种行情数据均未更新，使用上次分析结果")
-            self._last_analysis_time = datetime.now().isoformat()
-            self._broadcast_analysis_update()
-            return
-
-        # 广播实际分析的品种
-        if stale_symbols:
-            self._broadcast_analysis_status("analyzing",
-                f"分析 {len(active_symbols)} 个品种，{len(stale_symbols)} 个品种数据未更新")
-        else:
-            self._broadcast_analysis_status("analyzing",
-                f"正在分析 {len(active_symbols)} 个品种...")
-
-        # 收集活跃品种的K线数据
-        all_klines_data = {}
-        for symbol in active_symbols:
-            klines_data = {}
-            for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
-                limit = self.KLINE_LIMITS.get(period, 30)
-                klines = self.market_store.get_klines(symbol, period, limit)
-                if klines:
-                    klines_data[period] = klines
-                    print(f"[LLMAnalyzer] {symbol} {period} 获取到 {len(klines)} 条K线")
-            if klines_data:
-                all_klines_data[symbol] = klines_data
-
-        print(f"[LLMAnalyzer] 共收集 {len(all_klines_data)} 个品种的K线数据: {list(all_klines_data.keys())}")
-
-        if not all_klines_data:
-            print("[LLMAnalyzer] 无K线数据可分析")
-            self._broadcast_analysis_status("error", "无K线数据可分析")
-            return
-
-        # 构建合并的提示词
-        prompt = self._build_combined_prompt(all_klines_data)
-
-        # 记录分析开始
-        system_log = get_system_log()
-        system_log.add_log(
-            "llm_analysis_start",
-            {"symbols": active_symbols, "symbol_count": len(active_symbols)},
-            message=f"开始分析 {len(active_symbols)} 个品种"
-        )
-
-        # 调用大模型（流式）
-        response = self._call_llm_stream(prompt)
-
-        print(f"[LLMAnalyzer] 大模型返回结果: {type(response)}, 内容长度: {len(response) if response else 0}")
-
-        if response:
-            print(f"[LLMAnalyzer] 返回的品种: {list(response.keys())}")
-            # 解析结果，按品种存储
-            with self._lock:
-                for symbol, analysis in response.items():
-                    if isinstance(analysis, dict):
-                        self._analysis_results[symbol] = {
-                            "symbol": symbol,
-                            "analysis": analysis,
-                            "analyzed_at": datetime.now().isoformat(),
-                            "data_stale": False  # 标记数据是最新的
-                        }
-                        print(f"[LLMAnalyzer] 已存储 {symbol} 的分析结果")
-
-            # 记录分析完成
-            system_log.add_log(
-                "llm_analysis_complete",
-                {"symbols": list(response.keys()), "symbol_count": len(response)},
-                message=f"分析完成，{len(response)} 个品种"
-            )
-        else:
-            print(f"[LLMAnalyzer] 大模型返回为空，分析失败")
-            # 记录分析错误
-            system_log.add_log(
-                "llm_analysis_error",
-                {"reason": "大模型返回为空"},
-                message="分析失败"
-            )
-
-        self._last_analysis_time = datetime.now().isoformat()
-        print(f"[LLMAnalyzer] 分析完成，时间: {self._last_analysis_time}")
-
-        # 广播分析完成通知
-        self._broadcast_analysis_update()
-
-    def _build_combined_prompt(self, all_klines_data: Dict) -> str:
-        """构建合并的分析提示词"""
-        prompt = """你是一位专业的金融分析师。请分析以下多个交易品种的K线数据，给出每个品种的趋势判断和交易建议。
-
-## 分析要求
-
-对于每个品种，请分析：
-1. 各周期（H4、H1、M15、M5、M1）的趋势判断，包含趋势类型、置信度(0-100)和判断理由
-2. 整体趋势方向、强度(0-100)和总结
-3. 关键支撑位和压力位（请根据K线数据自行判断，各列出3个）
-4. 交易建议：必须包含M1、M5、M15三个周期的具体交易建议
-
-趋势类型可选值：单边上涨、单边下跌、区间震荡、震荡上升、震荡下跌、震荡收窄、震荡扩大
-
-请按以下JSON格式输出（必须是有效的JSON格式，包含所有品种）：
-
-```json
-{
-  "品种1": {
-    "trend_analysis": {
-      "H4": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
-      "H1": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
-      "M15": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
-      "M5": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
-      "M1": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"}
-    },
-    "overall_trend": {
-      "direction": "整体趋势方向",
-      "strength": 强度,
-      "summary": "整体趋势总结"
-    },
-    "key_levels": {
-      "resistance": [压力位1, 压力位2, 压力位3],
-      "support": [支撑位1, 支撑位2, 支撑位3]
-    },
-    "trade_suggestions": [
-      {
-        "period": "M15",
-        "direction": "buy或sell",
-        "entry_price": 入场价格,
-        "stop_loss": 止损价格,
-        "take_profit": 止盈价格,
-        "reason": "交易理由"
-      },
-      {
-        "period": "M5",
-        "direction": "buy或sell",
-        "entry_price": 入场价格,
-        "stop_loss": 止损价格,
-        "take_profit": 止盈价格,
-        "reason": "交易理由"
-      },
-      {
-        "period": "M1",
-        "direction": "buy或sell",
-        "entry_price": 入场价格,
-        "stop_loss": 止损价格,
-        "take_profit": 止盈价格,
-        "reason": "交易理由"
-      }
-    ]
-  },
-  "品种2": { ... }
-}
-```
-
-## K线数据
-"""
-        # 添加各品种的K线数据
-        for symbol, klines_data in all_klines_data.items():
-            prompt += f"\n### {symbol}\n"
-            for period, klines in klines_data.items():
-                prompt += f"\n#### {period} 周期（{len(klines)}根K线）\n"
-                prompt += "| 时间 | 开盘 | 最高 | 最低 | 收盘 |\n"
-                prompt += "|------|------|------|------|------|\n"
-                for k in klines:
-                    prompt += f"| {k['timestamp']} | {k['open']:.2f} | {k['high']:.2f} | {k['low']:.2f} | {k['close']:.2f} |\n"
-
-        prompt += """
-
-请确保输出是纯JSON格式，不要有其他文字说明。每个品种的分析结果都要完整，trade_suggestions必须包含M1、M5、M15三个周期的建议。
-"""
-        return prompt
-
-    def _call_llm(self, prompt: str) -> Optional[Dict]:
-        """调用大模型API（非流式，保留兼容）"""
-        if not self._api_key:
-            return None
-
-        try:
-            headers = {
-                "Authorization": f"Bearer {self._api_key}",
-                "Content-Type": "application/json"
-            }
-
-            data = {
-                "model": self._model,
-                "messages": [
-                    {"role": "system", "content": "你是一位专业的金融分析师，擅长技术分析和趋势判断。请用JSON格式输出分析结果，不要有任何额外的文字说明。"},
-                    {"role": "user", "content": prompt}
-                ],
-                "temperature": 0.3,
-                "max_tokens": 4000
-            }
-
-            response = requests.post(
-                f"{self._api_base}/chat/completions",
-                headers=headers,
-                json=data,
-                timeout=120
-            )
-
-            if response.status_code == 200:
-                result = response.json()
-                content = result["choices"][0]["message"]["content"]
-
-                # 提取JSON部分
-                if "```json" in content:
-                    content = content.split("```json")[1].split("```")[0]
-                elif "```" in content:
-                    content = content.split("```")[1].split("```")[0]
-
-                return json.loads(content.strip())
-            else:
-                print(f"[LLMAnalyzer] API调用失败: {response.status_code} - {response.text}")
-                return None
-
-        except Exception as e:
-            print(f"[LLMAnalyzer] 调用异常: {e}")
-            import traceback
-            traceback.print_exc()
-            return None
-
-    def _call_llm_stream(self, prompt: str) -> Optional[Dict]:
-        """调用大模型API（流式输出）"""
-        if not self._api_key:
-            return None
-
-        try:
-            headers = {
-                "Authorization": f"Bearer {self._api_key}",
-                "Content-Type": "application/json"
-            }
-
-            data = {
-                "model": self._model,
-                "messages": [
-                    {"role": "system", "content": "你是一位专业的金融分析师，擅长技术分析和趋势判断。请用JSON格式输出分析结果，不要有任何额外的文字说明。"},
-                    {"role": "user", "content": prompt}
-                ],
-                "temperature": 0.3,
-                "max_tokens": 4000,
-                "stream": True  # 启用流式输出
-            }
-
-            response = requests.post(
-                f"{self._api_base}/chat/completions",
-                headers=headers,
-                json=data,
-                timeout=120,
-                stream=True  # 流式响应
-            )
-
-            if response.status_code != 200:
-                print(f"[LLMAnalyzer] API调用失败: {response.status_code} - {response.text}")
-                self._broadcast_analysis_status("error", f"API调用失败: {response.status_code}")
-                return None
-
-            # 收集完整响应
-            full_content = ""
-            chunk_count = 0
-
-            for line in response.iter_lines():
-                if not line:
-                    continue
-
-                line = line.decode('utf-8')
-                if line.startswith('data: '):
-                    data_str = line[6:]  # 去掉 'data: '
-                    if data_str == '[DONE]':
-                        break
-
-                    try:
-                        chunk_data = json.loads(data_str)
-                        if 'choices' in chunk_data and len(chunk_data['choices']) > 0:
-                            delta = chunk_data['choices'][0].get('delta', {})
-                            content_piece = delta.get('content', '')
-                            if content_piece:
-                                full_content += content_piece
-                                chunk_count += 1
-
-                                # 每50个chunk广播一次进度
-                                if chunk_count % 50 == 0:
-                                    self._broadcast_analysis_status(
-                                        "streaming",
-                                        f"正在接收分析结果... ({len(full_content)} 字符)"
-                                    )
-                    except json.JSONDecodeError:
-                        continue
-
-            print(f"[LLMAnalyzer] 流式接收完成，共 {chunk_count} 个chunk，{len(full_content)} 字符")
-
-            # 提取JSON部分
-            if "```json" in full_content:
-                full_content = full_content.split("```json")[1].split("```")[0]
-            elif "```" in full_content:
-                full_content = full_content.split("```")[1].split("```")[0]
-
-            result = json.loads(full_content.strip())
-            return result
-
-        except json.JSONDecodeError as e:
-            print(f"[LLMAnalyzer] JSON解析失败: {e}")
-            self._broadcast_analysis_status("error", "JSON解析失败")
-            return None
-        except Exception as e:
-            print(f"[LLMAnalyzer] 流式调用异常: {e}")
-            import traceback
-            traceback.print_exc()
-            self._broadcast_analysis_status("error", f"调用异常: {str(e)}")
-            return None
-
-    def get_analysis(self, symbol: str = None) -> Dict:
-        """
-        获取分析结果
-
-        Args:
-            symbol: 品种名称，不指定则返回所有
-
-        Returns:
-            分析结果
-        """
-        with self._lock:
-            if symbol:
-                return self._analysis_results.get(symbol)
-            return dict(self._analysis_results)
-
-    def get_status(self) -> Dict:
-        """获取分析器状态"""
-        with self._lock:
-            return {
-                "enabled": self._enabled,
-                "model": self._model,
-                "api_base": self._api_base,
-                "last_analysis_time": self._last_analysis_time,
-                "symbols_analyzed": list(self._analysis_results.keys()),
-                "interval_seconds": self.ANALYZE_INTERVAL
-            }
+    # ==================== 手动触发 ====================
 
     def trigger_analysis(self) -> Dict:
         """手动触发分析"""
-        if not self._enabled:
+        if not self.llm_service.is_enabled():
             return {"status": "error", "message": "大模型分析未启用"}
 
         try:
             print("[LLMAnalyzer] 手动触发分析...")
-            self._run_analysis()
-            return {"status": "ok", "message": "分析完成", "analyzed_at": self._last_analysis_time}
+            result = self.llm_service.run_analysis(
+                on_status=lambda s, m: self._broadcast_analysis_status(s, m),
+                on_complete=lambda r: self._broadcast_analysis_update()
+            )
+            return {
+                "status": "ok",
+                "message": "分析完成",
+                "analyzed_at": self.llm_service.llm_store.get_last_analysis_time()
+            }
         except Exception as e:
             print(f"[LLMAnalyzer] 手动触发分析失败: {e}")
-            import traceback
-            traceback.print_exc()
             return {"status": "error", "message": str(e)}
 
+    # ==================== 配置 ====================
+
     def configure(self, api_key: str = None, api_base: str = None, model: str = None) -> Dict:
-        """
-        配置大模型参数
-
-        Args:
-            api_key: API密钥
-            api_base: API基础URL
-            model: 模型名称
-
-        Returns:
-            配置结果
-        """
-        if api_key:
-            self._api_key = api_key
-            os.environ["LLM_API_KEY"] = api_key
-
-        if api_base:
-            self._api_base = api_base
-            os.environ["LLM_API_BASE"] = api_base
-
-        if model:
-            self._model = model
-            os.environ["LLM_MODEL"] = model
-
-        # 保存到文件
-        self._save_to_file()
-
-        # 检查是否可以启用
-        was_enabled = self._enabled
-        self._enabled = bool(self._api_key)
+        """配置 LLM 参数"""
+        result = self.llm_service.configure(api_key, api_base, model)
 
         # 如果从禁用变为启用，启动分析线程
-        if self._enabled and not was_enabled:
+        if result.get("enabled") and not hasattr(self, '_thread_started'):
             self._start_analyze_thread()
+            self._thread_started = True
 
-        return {
-            "status": "ok",
-            "enabled": self._enabled,
-            "model": self._model,
-            "api_base": self._api_base
-        }
+        return result
 
-    # ==================== WebSocket管理 ====================
+    def get_config(self) -> Dict:
+        """获取配置"""
+        return self.llm_service.get_config()
+
+    # ==================== 查询 ====================
+
+    def get_analysis(self, symbol: str = None) -> Dict:
+        """获取分析结果"""
+        return self.llm_service.get_analysis(symbol)
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        status = self.llm_service.get_status()
+        status["interval_seconds"] = self.ANALYZE_INTERVAL
+        return status
+
+    def check_entry_price_nearby(self, symbol: str, current_price: float,
+                                  threshold: float = 0.0001) -> list:
+        """检查入场价是否接近"""
+        return self.llm_service.check_entry_price_nearby(symbol, current_price, threshold)
+
+    # ==================== WebSocket 管理 ====================
 
     def add_ws_client(self, client):
-        """添加WebSocket客户端"""
+        """添加 WebSocket 客户端"""
         with self._ws_lock:
             self._ws_clients.add(client)
             print(f"[LLMAnalyzer] WebSocket客户端已连接, 当前连接数: {len(self._ws_clients)}")
 
     def remove_ws_client(self, client):
-        """移除WebSocket客户端"""
+        """移除 WebSocket 客户端"""
         with self._ws_lock:
             self._ws_clients.discard(client)
             print(f"[LLMAnalyzer] WebSocket客户端已断开, 当前连接数: {len(self._ws_clients)}")
@@ -652,10 +149,9 @@ class LLMAnalyzer:
         """广播分析更新通知"""
         message = json.dumps({
             "type": "llm_analysis_update",
-            "timestamp": self._last_analysis_time,
-            "symbols": list(self._analysis_results.keys())
+            "timestamp": self.llm_service.llm_store.get_last_analysis_time(),
+            "symbols": self.llm_service.llm_store.get_analyzed_symbols()
         })
-
         self._broadcast_message(message)
 
     def _broadcast_analysis_status(self, status: str, message: str):
@@ -666,18 +162,16 @@ class LLMAnalyzer:
             "message": message,
             "timestamp": datetime.now().isoformat()
         })
-
         self._broadcast_message(msg)
 
     def _broadcast_message(self, message: str):
-        """广播消息到所有WebSocket客户端"""
+        """广播消息到所有 WebSocket 客户端"""
         with self._ws_lock:
             clients = list(self._ws_clients)
 
         if not clients:
             return
 
-        # 使用保存的主事件循环
         if self._main_loop and self._main_loop.is_running():
             for client in clients:
                 try:
@@ -688,7 +182,7 @@ class LLMAnalyzer:
                 except Exception as e:
                     print(f"[LLMAnalyzer] 广播消息失败: {e}")
         else:
-            print(f"[LLMAnalyzer] 事件循环未就绪，跳过广播（{len(clients)}个客户端）")
+            print(f"[LLMAnalyzer] 事件循环未就绪，跳过广播")
 
     async def _send_to_client(self, client, message: str):
         """发送消息到客户端"""
@@ -697,97 +191,4 @@ class LLMAnalyzer:
         except Exception as e:
             print(f"[LLMAnalyzer] 发送消息到客户端失败: {e}")
             with self._ws_lock:
-                self._ws_clients.discard(client)
-
-    def check_entry_price_nearby(self, symbol: str, current_price: float, threshold: float = 0.0001) -> List[Dict]:
-        """
-        检查当前价格是否接近AI建议的入场价
-
-        Args:
-            symbol: 交易品种
-            current_price: 当前价格
-            threshold: 价格接近阈值，默认万分之一（0.0001）
-
-        Returns:
-            匹配的交易建议列表
-        """
-        matched_suggestions = []
-        current_time = datetime.now()
-
-        with self._lock:
-            analysis_data = self._analysis_results.get(symbol)
-            if not analysis_data or 'analysis' not in analysis_data:
-                return matched_suggestions
-
-            trade_suggestions = analysis_data['analysis'].get('trade_suggestions', [])
-            if not trade_suggestions:
-                return matched_suggestions
-
-            for suggestion in trade_suggestions:
-                entry_price = suggestion.get('entry_price')
-                period = suggestion.get('period')
-                direction = suggestion.get('direction')
-
-                if not entry_price or entry_price <= 0:
-                    continue
-
-                # 计算价格差距百分比
-                if entry_price > 0:
-                    price_diff_pct = abs(current_price - entry_price) / entry_price
-
-                    # 如果在阈值范围内
-                    if price_diff_pct <= threshold:
-                        # 检查冷却
-                        alert_key = (symbol, period, direction, entry_price)
-
-                        with self._entry_alert_lock:
-                            should_alert = True
-
-                            if alert_key in self._alerted_entries:
-                                last_alert_time = self._alerted_entries[alert_key]
-                                elapsed = (current_time - last_alert_time).total_seconds()
-
-                                if elapsed < self.entry_alert_cooldown:
-                                    should_alert = False
-                                    print(f"[LLMAnalyzer] 跳过AI入场价提醒（冷却中）: {symbol} {period} "
-                                          f"入场价 {entry_price:.2f}, 剩余 {self.entry_alert_cooldown - elapsed:.0f}秒")
-
-                            if should_alert:
-                                # 记录提醒时间
-                                self._alerted_entries[alert_key] = current_time
-
-                                matched = {
-                                    "symbol": symbol,
-                                    "period": period,
-                                    "direction": direction,
-                                    "entry_price": entry_price,
-                                    "current_price": current_price,
-                                    "price_diff_pct": round(price_diff_pct * 100, 4),
-                                    "stop_loss": suggestion.get('stop_loss'),
-                                    "take_profit": suggestion.get('take_profit'),
-                                    "reason": suggestion.get('reason'),
-                                    "analyzed_at": analysis_data.get('analyzed_at'),
-                                    "match_type": "ai_entry_nearby"
-                                }
-                                matched_suggestions.append(matched)
-                                print(f"[LLMAnalyzer] 价格接近AI入场价: {symbol} {period} "
-                                      f"入场价 {entry_price:.2f}, 当前价 {current_price:.2f}, 差距 {price_diff_pct*100:.4f}%")
-
-        # 清理过期的提醒记录
-        self._cleanup_entry_alerts()
-
-        return matched_suggestions
-
-    def _cleanup_entry_alerts(self):
-        """清理过期的AI入场价提醒记录"""
-        current_time = datetime.now()
-
-        with self._entry_alert_lock:
-            keys_to_remove = []
-            for key, alert_time in self._alerted_entries.items():
-                elapsed = (current_time - alert_time).total_seconds()
-                if elapsed > self.entry_alert_cooldown * 2:
-                    keys_to_remove.append(key)
-
-            for key in keys_to_remove:
-                del self._alerted_entries[key]
\ No newline at end of file
+                self._ws_clients.discard(client)
\ No newline at end of file
diff --git a/market/market_event_monitor.py b/market/market_event_monitor.py
new file mode 100644
index 0000000..22fe55c
--- /dev/null
+++ b/market/market_event_monitor.py
@@ -0,0 +1,263 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+市场事件监控模块
+负责定时调度和 WebSocket 推送
+包含财经日历事件和快讯事件
+"""
+
+import asyncio
+from datetime import datetime
+from typing import Dict, List
+
+from .models import CalendarEvent, FlashNews
+from .store import CalendarStore, FlashNewsStore
+from .services import CalendarService, FlashNewsService
+from .utils.ws_manager import WebSocketManager
+from .news_crawler import get_jin10_crawler
+from .system_log import get_system_log
+
+
+class MarketEventMonitor:
+    """市场事件监控器（调度 + WebSocket 推送）"""
+
+    def __init__(self,
+                 calendar_store: CalendarStore = None,
+                 flash_news_store: FlashNewsStore = None):
+        # 存储
+        self.calendar_store = calendar_store or CalendarStore()
+        self.flash_news_store = flash_news_store or FlashNewsStore()
+
+        # 服务
+        self.calendar_service = CalendarService(self.calendar_store)
+        self.flash_news_service = FlashNewsService(self.flash_news_store)
+
+        # 爬虫
+        self.crawler = get_jin10_crawler()
+
+        # WebSocket管理器
+        self.ws_manager = WebSocketManager("market_event")
+
+        # 系统日志
+        self.system_log = get_system_log()
+
+        # 运行状态
+        self._running = False
+
+        print("[MarketEventMonitor] 市场事件监控器已初始化")
+
+    def set_event_loop(self, loop):
+        """设置主事件循环引用"""
+        self.ws_manager.set_event_loop(loop)
+        print("[MarketEventMonitor] 已设置主事件循环")
+
+    # ==================== 主循环 ====================
+
+    async def run(self):
+        """主运行循环"""
+        if self._running:
+            print("[MarketEventMonitor] 已经在运行中")
+            return
+
+        self._running = True
+        print("[MarketEventMonitor] 开始运行...")
+
+        self.system_log.add_log("market_event_monitor_start", message="市场事件监控已启动")
+
+        await asyncio.gather(
+            self._flash_news_loop(),
+            self._event_reminder_loop(),
+            self._cleanup_loop(),
+        )
+
+    async def stop(self):
+        """停止运行"""
+        self._running = False
+        await self.crawler.close()
+        print("[MarketEventMonitor] 已停止")
+
+    # ==================== 快讯监控循环 ====================
+
+    async def _flash_news_loop(self):
+        """快讯监控循环"""
+        max_id = 0
+        check_count = 0
+
+        while self._running:
+            try:
+                check_count += 1
+
+                # 每10次检查记录一次日志
+                if check_count % 10 == 0:
+                    self.system_log.add_log("flash_news_fetch", detail={
+                        "check_count": check_count,
+                        "max_id": max_id
+                    }, message=f"快讯检查 #{check_count}")
+
+                # 获取最新快讯
+                news_list = await self.crawler.fetch_flash_news(max_id=max_id, count=20)
+
+                if news_list:
+                    self.system_log.add_log("flash_news_fetch", detail={
+                        "count": len(news_list)
+                    }, message=f"获取到 {len(news_list)} 条快讯")
+
+                for news in reversed(news_list):
+                    # 检查是否已处理
+                    if self.flash_news_store.is_alerted(news.id):
+                        continue
+
+                    # 处理快讯（分析影响）
+                    analysis = self.flash_news_service.process_news(news)
+
+                    # 只推送有影响的快讯
+                    if analysis:
+                        alert = {
+                            "type": "flash_news",
+                            "news": news.to_dict(),
+                            "analysis": analysis,
+                            "timestamp": datetime.now().isoformat()
+                        }
+                        await self.ws_manager.broadcast(alert)
+
+                        self.system_log.add_log("flash_news_impact", detail={
+                            "news_id": news.id,
+                            "speaker": news.speaker,
+                            "impact": news.impact
+                        }, message=f"快讯影响分析: {news.speaker or '事件'} -> {list(news.impact.keys())}")
+
+                    # 标记已处理
+                    self.flash_news_store.mark_alerted(news.id)
+
+                    # 更新max_id
+                    try:
+                        if int(news.id) > max_id:
+                            max_id = int(news.id)
+                    except:
+                        pass
+
+                # 每30秒检查一次
+                await asyncio.sleep(30)
+
+            except Exception as e:
+                self.system_log.add_log("flash_news_fetch_error", detail={
+                    "error": str(e)
+                }, message=f"快讯监控异常: {e}")
+                print(f"[MarketEventMonitor] 快讯监控异常: {e}")
+                await asyncio.sleep(10)
+
+    # ==================== 事件提醒循环 ====================
+
+    async def _event_reminder_loop(self):
+        """检查即将发布的财经日历事件并发送提醒"""
+        while self._running:
+            try:
+                # 获取需要提醒的事件
+                events = self.calendar_service.check_upcoming_reminders()
+
+                for event in events:
+                    await self._send_event_reminder(event)
+
+                # 每分钟检查一次
+                await asyncio.sleep(60)
+
+            except Exception as e:
+                print(f"[MarketEventMonitor] 事件提醒检查异常: {e}")
+                await asyncio.sleep(30)
+
+    async def _send_event_reminder(self, event: CalendarEvent):
+        """发送事件提醒"""
+        alert = {
+            "type": "calendar_event_reminder",
+            "event": event.to_dict(),
+            "message": f"重要数据 {event.name} 将在5分钟内发布",
+            "timestamp": datetime.now().isoformat()
+        }
+
+        await self.ws_manager.broadcast(alert)
+
+        self.system_log.add_log("calendar_event_reminder", detail={
+            "event_id": event.id,
+            "event_name": event.name,
+            "currency": event.currency
+        }, message=f"事件发布前提醒: {event.name}")
+
+        print(f"[MarketEventMonitor] 事件提醒: {event.name}")
+
+    # ==================== 清理循环 ====================
+
+    async def _cleanup_loop(self):
+        """定期清理过期数据"""
+        while self._running:
+            try:
+                await asyncio.sleep(600)  # 每10分钟
+
+                removed = self.calendar_store.cleanup_expired()
+                if removed > 0:
+                    print(f"[MarketEventMonitor] 已清理 {removed} 条过期事件")
+
+            except Exception as e:
+                print(f"[MarketEventMonitor] 清理任务异常: {e}")
+                await asyncio.sleep(60)
+
+    # ==================== 数据更新接口 ====================
+
+    def update_calendar_from_mt5(self, events_data: List[Dict]) -> int:
+        """
+        从MT5数据更新财经日历
+
+        Args:
+            events_data: MT5返回的事件列表
+
+        Returns:
+            更新的事件数量
+        """
+        count = self.calendar_store.update_from_mt5(events_data)
+
+        # 广播日历更新
+        self.ws_manager.broadcast_sync({
+            "type": "calendar_update",
+            "data": self.calendar_store.get_events()
+        })
+
+        return count
+
+    # ==================== 查询接口 ====================
+
+    def get_calendar(self, date_str: str = None) -> List[Dict]:
+        """获取财经日历"""
+        return self.calendar_service.get_calendar(date_str)
+
+    def get_upcoming_events(self, hours: int = 24) -> List[Dict]:
+        """获取即将发布的重要事件"""
+        return self.calendar_service.get_upcoming_events(hours)
+
+    def get_recent_news(self, count: int = 20) -> List[Dict]:
+        """获取最近快讯"""
+        return self.flash_news_service.get_recent_news(count)
+
+    def get_status(self) -> Dict:
+        """获取监控状态"""
+        return {
+            "running": self._running,
+            "ws_status": self.ws_manager.get_status(),
+            "calendar_status": self.calendar_service.get_status(),
+            "flash_news_status": self.flash_news_service.get_status()
+        }
+
+    def clear_calendar(self) -> None:
+        """清空财经日历数据"""
+        self.calendar_store.clear()
+        print("[MarketEventMonitor] 财经日历数据已清空")
+
+
+# 全局单例
+_market_event_monitor = None
+
+
+def get_market_event_monitor() -> MarketEventMonitor:
+    """获取市场事件监控器单例"""
+    global _market_event_monitor
+    if _market_event_monitor is None:
+        _market_event_monitor = MarketEventMonitor()
+    return _market_event_monitor
\ No newline at end of file
diff --git a/market/merger.py b/market/merger.py
index 54c5dd0..c6e9815 100644
--- a/market/merger.py
+++ b/market/merger.py
@@ -8,7 +8,7 @@ K线合并模块
 from typing import List, Dict, Optional
 from datetime import datetime
 
-from .store import KlineData
+from .models import KlineData
 
 
 class KlineMerger:
diff --git a/market/models/__init__.py b/market/models/__init__.py
new file mode 100644
index 0000000..f6eb3ce
--- /dev/null
+++ b/market/models/__init__.py
@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+数据模型模块
+"""
+
+from .kline import KlineData
+from .pivot import PivotPoint
+from .llm_config import LLMConfig
+from .llm_analysis import LLMAnalysisResult
+from .tech_analysis import TechTrendState, TechTrendChange, TechResonanceResult, TechTradeSuggestion
+from .calendar_event import CalendarEvent
+from .flash_news import FlashNews
+from .pending_order import PendingOrder
+from .trading_instruction import TradingInstruction
+from .trading_signal import TradingSignal, SignalSource, SignalStatus
+from .trading_strategy import (
+    TradingStrategy, TradingDecision,
+    ConsistencyRequirement, ConflictResolution, VolumeMode,
+    StopLossMode, TakeProfitMode, PositionConflict
+)
+from .statistics import StatisticsData
+from .position import PositionData
+from .trade_history import TradeDeal
+
+__all__ = [
+    'KlineData', 'PivotPoint',
+    'LLMConfig', 'LLMAnalysisResult',
+    'TechTrendState', 'TechTrendChange', 'TechResonanceResult', 'TechTradeSuggestion',
+    'CalendarEvent', 'FlashNews',
+    'PendingOrder', 'TradingInstruction',
+    'TradingSignal', 'SignalSource', 'SignalStatus',
+    'TradingStrategy', 'TradingDecision',
+    'ConsistencyRequirement', 'ConflictResolution', 'VolumeMode',
+    'StopLossMode', 'TakeProfitMode', 'PositionConflict',
+    'StatisticsData', 'PositionData', 'TradeDeal'
+]
\ No newline at end of file
diff --git a/market/models/calendar_event.py b/market/models/calendar_event.py
new file mode 100644
index 0000000..70d1fbf
--- /dev/null
+++ b/market/models/calendar_event.py
@@ -0,0 +1,164 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+财经日历事件数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional
+import re
+
+
+# MT5中表示无效值的特殊数值
+MT5_INVALID_VALUE = -9223372036854775808.0
+
+# MT5时区偏移（相对于北京时间）
+# MT5服务器通常是 GMT+2，北京时间是 GMT+8
+# 所以 MT5时间 + 6小时 = 北京时间
+MT5_TIMEZONE_OFFSET_HOURS = 6
+
+
+def clean_invalid_value(value: str) -> str:
+    """清理MT5返回的无效值"""
+    if not value:
+        return ""
+    try:
+        num = float(value)
+        if num == MT5_INVALID_VALUE or num < -1e15:
+            return ""
+        if num == int(num):
+            return str(int(num))
+        return value
+    except (ValueError, TypeError):
+        return value
+
+
+def clean_text(text: str) -> str:
+    """清理文本中的控制字符和无效Unicode"""
+    if not text:
+        return ""
+    cleaned = re.sub(r'[\x00-\x1f\x7f]', '', text)
+    result = []
+    for char in cleaned:
+        code = ord(char)
+        if (0x20 <= code <= 0x7E or
+            0x4E00 <= code <= 0x9FFF or
+            0x3000 <= code <= 0x303F or
+            0xFF00 <= code <= 0xFFEF or
+            code > 0x9FFF):
+            result.append(char)
+    return ''.join(result)
+
+
+def is_valid_name(name: str) -> bool:
+    """检查名称是否有效（不是乱码）"""
+    if not name or len(name) < 2:
+        return False
+    printable_count = 0
+    for char in name:
+        code = ord(char)
+        if (0x20 <= code <= 0x7E or
+            0x4E00 <= code <= 0x9FFF or
+            0x3000 <= code <= 0x303F or
+            0xFF00 <= code <= 0xFFEF):
+            printable_count += 1
+    ratio = printable_count / len(name) if name else 0
+    return ratio >= 0.7
+
+
+@dataclass
+class CalendarEvent:
+    """财经日历事件"""
+    id: str
+    name: str
+    name_en: str = ""
+    country: str = ""
+    currency: str = ""
+    importance: int = 0  # 0-3
+    publish_time: Optional[datetime] = None
+    forecast: str = ""
+    previous: str = ""
+    actual: str = ""
+    unit: str = ""
+    symbols: List[str] = field(default_factory=list)
+    event_type: str = ""
+
+    # 发布后填充
+    result: str = ""  # better/worse/in_line
+    impact: Dict = field(default_factory=dict)
+    analyzed: bool = False
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "id": self.id,
+            "name": self.name,
+            "name_en": self.name_en,
+            "country": self.country,
+            "currency": self.currency,
+            "importance": self.importance,
+            "publish_time": self.publish_time.isoformat() if self.publish_time else None,
+            "forecast": self.forecast,
+            "previous": self.previous,
+            "actual": self.actual,
+            "unit": self.unit,
+            "symbols": self.symbols,
+            "event_type": self.event_type,
+            "result": self.result,
+            "impact": self.impact,
+            "analyzed": self.analyzed
+        }
+
+    @classmethod
+    def from_mt5_data(cls, event_data: Dict) -> Optional['CalendarEvent']:
+        """
+        从MT5数据创建事件对象
+
+        Args:
+            event_data: MT5返回的事件数据
+
+        Returns:
+            CalendarEvent 或 None（如果数据无效）
+        """
+        event_id = str(event_data.get('id', ''))
+        if not event_id:
+            return None
+
+        # 解析发布时间
+        publish_time = event_data.get('publish_time')
+        if isinstance(publish_time, str):
+            try:
+                publish_time = datetime.fromisoformat(publish_time.replace('Z', '+00:00'))
+            except:
+                try:
+                    publish_time = datetime.strptime(publish_time, '%Y.%m.%d %H:%M:%S')
+                except:
+                    return None
+        elif not isinstance(publish_time, datetime):
+            return None
+
+        # 将 MT5 时间转换为北京时间（GMT+8）
+        # MT5服务器时间通常是 GMT+2，北京时间是 GMT+8，差6小时
+        publish_time = publish_time + timedelta(hours=MT5_TIMEZONE_OFFSET_HOURS)
+
+        # 清理并检查名称有效性
+        cleaned_name = clean_text(event_data.get('name', ''))
+        if not is_valid_name(cleaned_name):
+            return None
+
+        return cls(
+            id=event_id,
+            name=cleaned_name,
+            name_en=clean_text(event_data.get('name_en', '')),
+            country=clean_text(event_data.get('country', '')),
+            currency=event_data.get('currency', ''),
+            importance=event_data.get('importance', 0),
+            publish_time=publish_time,
+            forecast=clean_invalid_value(event_data.get('forecast', '')),
+            previous=clean_invalid_value(event_data.get('previous', '')),
+            actual=clean_invalid_value(event_data.get('actual', '')),
+            unit=event_data.get('unit', ''),
+            symbols=event_data.get('symbols', []),
+            event_type=event_data.get('event_type', '')
+        )
\ No newline at end of file
diff --git a/market/models/flash_news.py b/market/models/flash_news.py
new file mode 100644
index 0000000..4b4f877
--- /dev/null
+++ b/market/models/flash_news.py
@@ -0,0 +1,78 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+快讯数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
+
+
+@dataclass
+class FlashNews:
+    """快讯数据"""
+    id: str
+    content: str
+    source: str = ""
+    time: Optional[datetime] = None
+    importance: int = 0
+    keywords: List[str] = field(default_factory=list)
+    related_symbols: List[str] = field(default_factory=list)
+
+    # 分析后填充
+    speaker: str = ""
+    speaker_title: str = ""
+    impact: Dict = field(default_factory=dict)
+    analyzed: bool = False
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "id": self.id,
+            "content": self.content,
+            "source": self.source,
+            "time": self.time.isoformat() if self.time else None,
+            "importance": self.importance,
+            "keywords": self.keywords,
+            "related_symbols": self.related_symbols,
+            "speaker": self.speaker,
+            "speaker_title": self.speaker_title,
+            "impact": self.impact,
+            "analyzed": self.analyzed
+        }
+
+    @classmethod
+    def from_jin10_data(cls, data: Dict) -> 'FlashNews':
+        """
+        从金十数据创建快讯对象
+
+        Args:
+            data: 金十API返回的快讯数据
+
+        Returns:
+            FlashNews
+        """
+        # 解析时间
+        time = None
+        time_str = data.get('time') or data.get('publish_time')
+        if time_str:
+            if isinstance(time_str, datetime):
+                time = time_str
+            elif isinstance(time_str, (int, float)):
+                time = datetime.fromtimestamp(time_str)
+            else:
+                try:
+                    time = datetime.fromisoformat(str(time_str).replace('Z', '+00:00'))
+                except:
+                    pass
+
+        return cls(
+            id=str(data.get('id', '')),
+            content=data.get('content', ''),
+            source=data.get('source', 'jin10'),
+            time=time,
+            importance=data.get('importance', 0),
+            keywords=data.get('keywords', []),
+            related_symbols=data.get('related_symbols', [])
+        )
\ No newline at end of file
diff --git a/market/models/kline.py b/market/models/kline.py
new file mode 100644
index 0000000..d68c047
--- /dev/null
+++ b/market/models/kline.py
@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+K线数据结构
+"""
+
+from datetime import datetime
+from typing import Dict
+
+
+class KlineData:
+    """K线数据结构"""
+
+    def __init__(self, symbol: str, period: str, timestamp, open_price: float,
+                 high: float, low: float, close: float, volume: float = 0):
+        self.symbol = symbol
+        self.period = period  # H4, H1, M15, M5, M1
+        self.timestamp = timestamp
+        self.open = open_price
+        self.high = high
+        self.low = low
+        self.close = close
+        self.volume = volume
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        ts = self.timestamp
+        if isinstance(ts, datetime):
+            ts_str = ts.strftime("%Y-%m-%d %H:%M:%S")
+        else:
+            ts_str = str(ts)
+
+        return {
+            "symbol": self.symbol,
+            "period": self.period,
+            "timestamp": ts_str,
+            "open": self.open,
+            "high": self.high,
+            "low": self.low,
+            "close": self.close,
+            "volume": self.volume
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'KlineData':
+        """从字典创建"""
+        return cls(
+            symbol=data.get('symbol', ''),
+            period=data.get('period', ''),
+            timestamp=data.get('timestamp') or data.get('time'),
+            open_price=float(data.get('open', 0)),
+            high=float(data.get('high', 0)),
+            low=float(data.get('low', 0)),
+            close=float(data.get('close', 0)),
+            volume=float(data.get('volume', 0))
+        )
\ No newline at end of file
diff --git a/market/models/llm_analysis.py b/market/models/llm_analysis.py
new file mode 100644
index 0000000..ecfdf52
--- /dev/null
+++ b/market/models/llm_analysis.py
@@ -0,0 +1,56 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+LLM 分析结果数据结构
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
+
+
+@dataclass
+class LLMAnalysisResult:
+    """LLM 分析结果"""
+    symbol: str
+    trend_analysis: Dict = field(default_factory=dict)
+    overall_trend: Optional[Dict] = None
+    key_levels: Optional[Dict] = None
+    trade_suggestions: List[Dict] = field(default_factory=list)
+    analyzed_at: Optional[str] = None
+    data_stale: bool = False
+    market_status: str = "active"  # active, stale, closed
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "symbol": self.symbol,
+            "trend_analysis": self.trend_analysis,
+            "overall_trend": self.overall_trend,
+            "key_levels": self.key_levels,
+            "trade_suggestions": self.trade_suggestions,
+            "analyzed_at": self.analyzed_at,
+            "data_stale": self.data_stale,
+            "market_status": self.market_status
+        }
+
+    @classmethod
+    def from_api_response(cls, symbol: str, data: Dict) -> 'LLMAnalysisResult':
+        """从 LLM API 返回的字典创建"""
+        return cls(
+            symbol=symbol,
+            trend_analysis=data.get("trend_analysis", {}),
+            overall_trend=data.get("overall_trend"),
+            key_levels=data.get("key_levels"),
+            trade_suggestions=data.get("trade_suggestions", []),
+            analyzed_at=datetime.now().isoformat(),
+            data_stale=False,
+            market_status="active"
+        )
+
+    def get_trade_suggestion(self, period: str) -> Optional[Dict]:
+        """获取指定周期的交易建议"""
+        for ts in self.trade_suggestions:
+            if ts.get("period") == period:
+                return ts
+        return None
\ No newline at end of file
diff --git a/market/models/llm_config.py b/market/models/llm_config.py
new file mode 100644
index 0000000..d7a1993
--- /dev/null
+++ b/market/models/llm_config.py
@@ -0,0 +1,47 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+LLM 配置数据结构
+"""
+
+from dataclasses import dataclass
+from typing import Dict
+
+
+@dataclass
+class LLMConfig:
+    """LLM 配置"""
+    api_key: str = ""
+    api_base: str = "https://api.openai.com/v1"
+    model: str = "gpt-4o-mini"
+
+    @property
+    def enabled(self) -> bool:
+        """是否启用（有 API Key 才启用）"""
+        return bool(self.api_key)
+
+    def to_dict(self) -> Dict:
+        """转换为字典（API Key 脱敏）"""
+        masked_key = ""
+        if self.api_key:
+            if len(self.api_key) > 8:
+                masked_key = self.api_key[:4] + "****" + self.api_key[-4:]
+            else:
+                masked_key = "****"
+
+        return {
+            "api_key": masked_key,
+            "api_key_set": bool(self.api_key),
+            "api_base": self.api_base,
+            "model": self.model,
+            "enabled": self.enabled
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'LLMConfig':
+        """从字典创建"""
+        return cls(
+            api_key=data.get("api_key", ""),
+            api_base=data.get("api_base", "https://api.openai.com/v1"),
+            model=data.get("model", "gpt-4o-mini")
+        )
\ No newline at end of file
diff --git a/market/models/pending_order.py b/market/models/pending_order.py
new file mode 100644
index 0000000..834d43f
--- /dev/null
+++ b/market/models/pending_order.py
@@ -0,0 +1,157 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+待确认订单数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime, timedelta
+from typing import Dict, Optional
+import uuid
+
+
+@dataclass
+class PendingOrder:
+    """待确认订单"""
+    # 必填字段
+    symbol: str
+    action: str  # b=买入, s=卖出
+    price: float  # 入场价
+    mount: float  # 手数
+    sl: float  # 止损
+    tp: float  # 止盈
+
+    # 可选字段
+    reason: str = ""
+    description: str = ""
+    source: str = ""  # auto_pivot_m1/key_level/ai_entry_nearby/manual
+
+    # 策略相关字段
+    pivot_price: Optional[float] = None  # 转折点价格
+    key_level: Optional[float] = None  # 关键点位
+    ai_period: Optional[str] = None  # AI分析周期
+    ai_entry_price: Optional[float] = None  # AI入场价
+    ai_direction: Optional[str] = None  # AI方向
+
+    # AI方向一致性分析
+    ai_directions: Optional[Dict] = None
+    direction_consistent: bool = False
+    consistent_periods: list = field(default_factory=list)
+    inconsistent_periods: list = field(default_factory=list)
+    recommendation: str = ""
+    recommendation_color: str = ""
+
+    # 自动生成字段
+    order_id: str = ""
+    status: str = "pending"  # pending/confirmed/rejected/expired
+    created_at: Optional[datetime] = None
+    expires_at: Optional[datetime] = None
+    confirmed_at: Optional[datetime] = None
+
+    # 超时时间（秒）
+    TIMEOUT_SECONDS: int = field(default=180, repr=False)
+
+    def __post_init__(self):
+        if not self.order_id:
+            self.order_id = str(uuid.uuid4())[:8]
+        if not self.created_at:
+            self.created_at = datetime.now()
+        if not self.expires_at:
+            self.expires_at = self.created_at + timedelta(seconds=self.TIMEOUT_SECONDS)
+
+    def is_expired(self) -> bool:
+        """检查是否已过期"""
+        return datetime.now() > self.expires_at
+
+    def is_pending(self) -> bool:
+        """检查是否待处理"""
+        return self.status == "pending" and not self.is_expired()
+
+    def confirm(self) -> None:
+        """确认订单"""
+        self.status = "confirmed"
+        self.confirmed_at = datetime.now()
+
+    def reject(self) -> None:
+        """拒绝订单"""
+        self.status = "rejected"
+
+    def mark_expired(self) -> None:
+        """标记为过期"""
+        self.status = "expired"
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "order_id": self.order_id,
+            "symbol": self.symbol,
+            "action": self.action,
+            "price": self.price,
+            "mount": self.mount,
+            "sl": self.sl,
+            "tp": self.tp,
+            "reason": self.reason,
+            "description": self.description,
+            "source": self.source,
+            "pivot_price": self.pivot_price,
+            "key_level": self.key_level,
+            "ai_period": self.ai_period,
+            "ai_entry_price": self.ai_entry_price,
+            "ai_direction": self.ai_direction,
+            "ai_directions": self.ai_directions,
+            "direction_consistent": self.direction_consistent,
+            "consistent_periods": self.consistent_periods,
+            "inconsistent_periods": self.inconsistent_periods,
+            "recommendation": self.recommendation,
+            "recommendation_color": self.recommendation_color,
+            "status": self.status,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "expires_at": self.expires_at.isoformat() if self.expires_at else None,
+            "confirmed_at": self.confirmed_at.isoformat() if self.confirmed_at else None,
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'PendingOrder':
+        """从字典创建"""
+        # 处理时间字段
+        created_at = data.get('created_at')
+        if isinstance(created_at, str):
+            created_at = datetime.fromisoformat(created_at)
+        elif created_at is None:
+            created_at = datetime.now()
+
+        expires_at = data.get('expires_at')
+        if isinstance(expires_at, str):
+            expires_at = datetime.fromisoformat(expires_at)
+
+        confirmed_at = data.get('confirmed_at')
+        if isinstance(confirmed_at, str):
+            confirmed_at = datetime.fromisoformat(confirmed_at)
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            action=data.get('action', ''),
+            price=data.get('price', 0.0),
+            mount=data.get('mount', 0.0),
+            sl=data.get('sl', 0.0),
+            tp=data.get('tp', 0.0),
+            reason=data.get('reason', ''),
+            description=data.get('description', ''),
+            source=data.get('source', ''),
+            pivot_price=data.get('pivot_price'),
+            key_level=data.get('key_level'),
+            ai_period=data.get('ai_period'),
+            ai_entry_price=data.get('ai_entry_price'),
+            ai_direction=data.get('ai_direction'),
+            ai_directions=data.get('ai_directions'),
+            direction_consistent=data.get('direction_consistent', False),
+            consistent_periods=data.get('consistent_periods', []),
+            inconsistent_periods=data.get('inconsistent_periods', []),
+            recommendation=data.get('recommendation', ''),
+            recommendation_color=data.get('recommendation_color', ''),
+            order_id=data.get('order_id', ''),
+            status=data.get('status', 'pending'),
+            created_at=created_at,
+            expires_at=expires_at,
+            confirmed_at=confirmed_at,
+        )
\ No newline at end of file
diff --git a/market/models/pivot.py b/market/models/pivot.py
new file mode 100644
index 0000000..e4c1c5e
--- /dev/null
+++ b/market/models/pivot.py
@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+转折点数据结构
+"""
+
+from datetime import datetime
+from typing import Dict
+
+
+class PivotPoint:
+    """转折点数据结构"""
+
+    def __init__(self, symbol: str, period: str, timestamp, price: float,
+                 direction: str, strength: int = 3):
+        self.symbol = symbol
+        self.period = period
+        self.timestamp = timestamp
+        self.price = price
+        self.direction = direction  # "high" 或 "low"
+        self.strength = strength    # 转折强度（左右各N根K线）
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        ts = self.timestamp
+        if isinstance(ts, datetime):
+            ts_str = ts.strftime("%Y-%m-%d %H:%M:%S")
+        else:
+            ts_str = str(ts)
+
+        return {
+            "symbol": self.symbol,
+            "period": self.period,
+            "timestamp": ts_str,
+            "price": self.price,
+            "direction": self.direction,
+            "strength": self.strength
+        }
\ No newline at end of file
diff --git a/market/models/position.py b/market/models/position.py
new file mode 100644
index 0000000..70c1511
--- /dev/null
+++ b/market/models/position.py
@@ -0,0 +1,85 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+持仓数据模型
+"""
+
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Dict, Optional
+
+
+@dataclass
+class PositionData:
+    """
+    持仓数据
+
+    EA通过 /ea/positions 上报
+    """
+    ticket: int
+    symbol: str
+    volume: float
+    price_open: float
+    position_type: str  # "BUY" / "SELL"
+    profit: float
+
+    # 止损止盈
+    sl: float = 0.0
+    tp: float = 0.0
+    distance_sl: float = 0.0  # 距离止损的点数
+    distance_tp: float = 0.0  # 距离止盈的点数
+
+    # 元数据
+    updated_at: datetime = None
+
+    def __post_init__(self):
+        if self.updated_at is None:
+            self.updated_at = datetime.now()
+
+    @property
+    def is_buy(self) -> bool:
+        """是否为买单"""
+        return self.position_type.upper() == "BUY"
+
+    @property
+    def is_sell(self) -> bool:
+        """是否为卖单"""
+        return self.position_type.upper() == "SELL"
+
+    @property
+    def direction(self) -> str:
+        """方向：buy / sell"""
+        return "buy" if self.is_buy else "sell"
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "ticket": self.ticket,
+            "symbol": self.symbol,
+            "volume": self.volume,
+            "price_open": self.price_open,
+            "type": self.position_type,
+            "profit": self.profit,
+            "sl": self.sl,
+            "tp": self.tp,
+            "distance_sl": self.distance_sl,
+            "distance_tp": self.distance_tp,
+            "direction": self.direction,
+            "updated_at": self.updated_at.isoformat() if self.updated_at else None
+        }
+
+    @classmethod
+    def from_ea_data(cls, data: Dict, symbol: str = None) -> 'PositionData':
+        """从EA上报数据创建"""
+        return cls(
+            ticket=int(data.get('ticket', 0)),
+            symbol=data.get('symbol', symbol or ''),
+            volume=float(data.get('volume', 0)),
+            price_open=float(data.get('priceOpen', 0)),
+            position_type=data.get('type', 'BUY').upper(),
+            profit=float(data.get('profit', 0)),
+            sl=float(data.get('sl', 0)),
+            tp=float(data.get('tp', 0)),
+            distance_sl=float(data.get('distanceSL', 0)),
+            distance_tp=float(data.get('distanceTP', 0))
+        )
\ No newline at end of file
diff --git a/market/models/statistics.py b/market/models/statistics.py
new file mode 100644
index 0000000..69a320c
--- /dev/null
+++ b/market/models/statistics.py
@@ -0,0 +1,84 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+统计数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Optional, Dict
+
+
+@dataclass
+class StatisticsData:
+    """
+    EA上报的统计数据
+
+    用途：
+    1. 获取品种价差（TechService）
+    2. 获取账户信息（前端展示）
+    3. 检查数据时效性
+    """
+    symbol: str
+    timestamp: datetime
+
+    # 价格信息
+    bid_price: float
+    ask_price: float
+    spread: float
+    spread_points: float
+
+    # 账户信息
+    balance: float
+    equity: float
+    margin_level: float
+
+    # 其他
+    tick_count: int = 0
+
+    @property
+    def mid_price(self) -> float:
+        """中间价"""
+        return (self.bid_price + self.ask_price) / 2
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "symbol": self.symbol,
+            "timestamp": self.timestamp.isoformat() if self.timestamp else None,
+            "bid_price": self.bid_price,
+            "ask_price": self.ask_price,
+            "spread": self.spread,
+            "spread_points": self.spread_points,
+            "balance": self.balance,
+            "equity": self.equity,
+            "margin_level": self.margin_level,
+            "tick_count": self.tick_count,
+            "mid_price": self.mid_price
+        }
+
+    @classmethod
+    def from_ea_data(cls, data: Dict) -> 'StatisticsData':
+        """从EA上报数据创建"""
+        # 解析时间戳
+        timestamp = data.get('timestamp')
+        if isinstance(timestamp, str):
+            try:
+                timestamp = datetime.fromisoformat(timestamp)
+            except:
+                timestamp = datetime.now()
+        elif not isinstance(timestamp, datetime):
+            timestamp = datetime.now()
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            timestamp=timestamp,
+            bid_price=float(data.get('bidPrice', 0)),
+            ask_price=float(data.get('askPrice', 0)),
+            spread=float(data.get('spread', 0)),
+            spread_points=float(data.get('spreadPoints', 0)),
+            balance=float(data.get('balance', 0)),
+            equity=float(data.get('equity', 0)),
+            margin_level=float(data.get('marginLevel', 0)),
+            tick_count=int(data.get('tickCount', 0))
+        )
\ No newline at end of file
diff --git a/market/models/tech_analysis.py b/market/models/tech_analysis.py
new file mode 100644
index 0000000..85487f6
--- /dev/null
+++ b/market/models/tech_analysis.py
@@ -0,0 +1,113 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+技术分析相关数据结构
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
+
+
+@dataclass
+class TechTrendState:
+    """单周期趋势状态"""
+    symbol: str
+    period: str
+    trend: str = "unknown"           # "up" / "down" / "sideways" / "unknown"
+    strength: int = 0                 # 0-100
+    adx: float = 0.0
+    ma_fast: float = 0.0
+    ma_slow: float = 0.0
+    price: float = 0.0
+    reason: str = ""
+    timestamp: Optional[str] = None
+    previous_trend: Optional[str] = None
+    change_signal: bool = False
+
+    def to_dict(self) -> Dict:
+        return {
+            "trend": self.trend,
+            "strength": self.strength,
+            "adx": self.adx,
+            "ma_fast": self.ma_fast,
+            "ma_slow": self.ma_slow,
+            "price": self.price,
+            "reason": self.reason,
+            "timestamp": self.timestamp,
+            "previous_trend": self.previous_trend,
+            "change_signal": self.change_signal
+        }
+
+
+@dataclass
+class TechTrendChange:
+    """趋势转换记录"""
+    period: str
+    from_trend: str
+    to_trend: str
+    price: float
+    timestamp: str
+
+    def to_dict(self) -> Dict:
+        return {
+            "period": self.period,
+            "from_trend": self.from_trend,
+            "to_trend": self.to_trend,
+            "price": self.price,
+            "timestamp": self.timestamp
+        }
+
+
+@dataclass
+class TechResonanceResult:
+    """多周期共振结果"""
+    symbol: str
+    resonance: str = "none"           # "up" / "down" / "none"
+    strength: int = 0
+    aligned_count: int = 0
+    up_count: int = 0
+    down_count: int = 0
+    sideways_count: int = 0
+    signal: str = "等待数据"
+    periods: Dict = field(default_factory=dict)
+
+    def to_dict(self) -> Dict:
+        return {
+            "resonance": self.resonance,
+            "strength": self.strength,
+            "aligned_count": self.aligned_count,
+            "up_count": self.up_count,
+            "down_count": self.down_count,
+            "sideways_count": self.sideways_count,
+            "signal": self.signal,
+            "periods": {p: s.to_dict() if hasattr(s, 'to_dict') else s for p, s in self.periods.items()}
+        }
+
+
+@dataclass
+class TechTradeSuggestion:
+    """技术分析交易建议"""
+    symbol: str
+    action: str                       # "b" / "s"
+    price: float
+    sl: float
+    tp: float
+    reason: str
+    trend_strength: int
+    resonance_periods: int
+    generated_at: str
+
+    def to_dict(self) -> Dict:
+        return {
+            "symbol": self.symbol,
+            "action": self.action,
+            "price": self.price,
+            "mount": 0.01,  # 默认手数
+            "sl": self.sl,
+            "tp": self.tp,
+            "reason": self.reason,
+            "trend_strength": self.trend_strength,
+            "resonance_periods": self.resonance_periods,
+            "generated_at": self.generated_at
+        }
\ No newline at end of file
diff --git a/market/models/trade_history.py b/market/models/trade_history.py
new file mode 100644
index 0000000..d80fd28
--- /dev/null
+++ b/market/models/trade_history.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易历史数据模型
+"""
+
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Dict, Optional
+import re
+
+
+@dataclass
+class TradeDeal:
+    """
+    成交记录
+
+    EA通过 /trade_history 上报
+    """
+    ticket: int
+    order: int
+    symbol: str
+    deal_type: int  # 0=买入, 1=卖出
+    entry_type: int  # 0=开仓, 1=平仓, 2=反向
+    volume: float
+    price: float
+    profit: float
+    swap: float
+    commission: float
+    time: datetime
+    comment: str
+
+    @property
+    def is_buy(self) -> bool:
+        """是否为买入"""
+        return self.deal_type == 0
+
+    @property
+    def is_sell(self) -> bool:
+        """是否为卖出"""
+        return self.deal_type == 1
+
+    @property
+    def is_entry(self) -> bool:
+        """是否为开仓"""
+        return self.entry_type == 0
+
+    @property
+    def is_exit(self) -> bool:
+        """是否为平仓"""
+        return self.entry_type == 1
+
+    @property
+    def deal_type_text(self) -> str:
+        """成交类型文本"""
+        return "买入" if self.is_buy else "卖出"
+
+    @property
+    def entry_type_text(self) -> str:
+        """入场类型文本"""
+        if self.entry_type == 0:
+            return "开仓"
+        elif self.entry_type == 1:
+            return "平仓"
+        elif self.entry_type == 2:
+            return "反向"
+        return "未知"
+
+    @property
+    def order_source(self) -> str:
+        """订单来源"""
+        if not self.comment or not self.comment.strip():
+            return "手动"
+
+        comment = self.comment.strip()
+        if comment.startswith('[sl'):
+            return "止损触发"
+        if comment.startswith('[tp'):
+            return "止盈触发"
+        if comment.startswith('[so'):
+            return "强制平仓"
+        return "自动"
+
+    @property
+    def is_auto(self) -> bool:
+        """是否为自动订单"""
+        if not self.comment or not self.comment.strip():
+            return False
+        comment = self.comment.strip()
+        # 排除MT5系统标记
+        if comment.startswith('[sl') or comment.startswith('[tp') or comment.startswith('[so'):
+            return False
+        return True
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "ticket": self.ticket,
+            "order": self.order,
+            "symbol": self.symbol,
+            "type": self.deal_type,
+            "type_text": self.deal_type_text,
+            "entry": self.entry_type,
+            "entry_text": self.entry_type_text,
+            "volume": self.volume,
+            "price": self.price,
+            "profit": self.profit,
+            "swap": self.swap,
+            "commission": self.commission,
+            "time": self.time.strftime("%Y-%m-%d %H:%M:%S") if self.time else None,
+            "comment": self.comment,
+            "is_auto": self.is_auto,
+            "order_source": self.order_source
+        }
+
+    @classmethod
+    def from_ea_data(cls, data: Dict) -> 'TradeDeal':
+        """从EA上报数据创建"""
+        # 解析时间
+        deal_time = data.get('time')
+        if isinstance(deal_time, str):
+            for fmt in ["%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M:%S"]:
+                try:
+                    deal_time = datetime.strptime(deal_time, fmt)
+                    break
+                except:
+                    pass
+        if not isinstance(deal_time, datetime):
+            deal_time = datetime.now()
+
+        return cls(
+            ticket=int(data.get('ticket', 0)),
+            order=int(data.get('order', 0)),
+            symbol=data.get('symbol', ''),
+            deal_type=int(data.get('type', 0)),
+            entry_type=int(data.get('entry', 0)),
+            volume=float(data.get('volume', 0)),
+            price=float(data.get('price', 0)),
+            profit=float(data.get('profit', 0)),
+            swap=float(data.get('swap', 0)),
+            commission=float(data.get('commission', 0)),
+            time=deal_time,
+            comment=data.get('comment', '')
+        )
\ No newline at end of file
diff --git a/market/models/trading_instruction.py b/market/models/trading_instruction.py
new file mode 100644
index 0000000..d4a97b2
--- /dev/null
+++ b/market/models/trading_instruction.py
@@ -0,0 +1,128 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易指令数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, Optional
+import uuid
+
+
+@dataclass
+class TradingInstruction:
+    """交易指令"""
+    # 必填字段
+    symbol: str
+    action: str  # b=买入, s=卖出
+    price: float  # 指令执行价格
+    mount: float  # 手数
+
+    # 可选字段
+    sl: float = 0.0  # 止损
+    tp: float = 0.005  # 止盈（默认值）
+    reason: str = ""
+    description: str = ""
+    source: str = ""  # manual/pending_order_confirm/key_level/ai_entry
+
+    # 来源追踪
+    order_id: Optional[str] = None  # 来源订单ID（如果是确认订单转入）
+
+    # 自动生成字段
+    instruction_id: str = ""
+    status: str = "pending"  # pending/sent/executed/cancelled
+    created_at: Optional[datetime] = None
+    sent_at: Optional[datetime] = None  # 发送给EA的时间
+    executed_at: Optional[datetime] = None
+
+    def __post_init__(self):
+        if not self.instruction_id:
+            self.instruction_id = str(uuid.uuid4())[:8]
+        if not self.created_at:
+            self.created_at = datetime.now()
+        # 确保tp有默认值
+        if self.tp is None or self.tp <= 0:
+            self.tp = 0.005
+
+    def to_dict(self) -> Dict:
+        """转换为字典（用于返回给EA）"""
+        return {
+            "symbol": self.symbol.lower(),
+            "action": self.action.lower(),
+            "mount": self.mount,
+            "price": self.price,
+            "sl": self.sl,
+            "tp": self.tp,
+        }
+
+    def to_full_dict(self) -> Dict:
+        """转换为完整字典（用于内部存储和查询）"""
+        return {
+            "instruction_id": self.instruction_id,
+            "symbol": self.symbol,
+            "action": self.action,
+            "price": self.price,
+            "mount": self.mount,
+            "sl": self.sl,
+            "tp": self.tp,
+            "reason": self.reason,
+            "description": self.description,
+            "source": self.source,
+            "order_id": self.order_id,
+            "status": self.status,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "sent_at": self.sent_at.isoformat() if self.sent_at else None,
+            "executed_at": self.executed_at.isoformat() if self.executed_at else None,
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'TradingInstruction':
+        """从字典创建"""
+        created_at = data.get('created_at')
+        if isinstance(created_at, str):
+            created_at = datetime.fromisoformat(created_at)
+        elif created_at is None:
+            created_at = datetime.now()
+
+        sent_at = data.get('sent_at')
+        if isinstance(sent_at, str):
+            sent_at = datetime.fromisoformat(sent_at)
+
+        executed_at = data.get('executed_at')
+        if isinstance(executed_at, str):
+            executed_at = datetime.fromisoformat(executed_at)
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            action=data.get('action', ''),
+            price=data.get('price', 0.0),
+            mount=data.get('mount', 0.0),
+            sl=data.get('sl', 0.0),
+            tp=data.get('tp', 0.005),
+            reason=data.get('reason', ''),
+            description=data.get('description', ''),
+            source=data.get('source', ''),
+            order_id=data.get('order_id'),
+            instruction_id=data.get('instruction_id', ''),
+            status=data.get('status', 'pending'),
+            created_at=created_at,
+            sent_at=sent_at,
+            executed_at=executed_at,
+        )
+
+    @classmethod
+    def from_pending_order(cls, order: 'PendingOrder') -> 'TradingInstruction':
+        """从待确认订单创建"""
+        return cls(
+            symbol=order.symbol,
+            action=order.action,
+            price=order.price,
+            mount=order.mount,
+            sl=order.sl,
+            tp=order.tp,
+            reason=order.reason,
+            description=order.description,
+            source=f"pending_order_{order.source}",
+            order_id=order.order_id,
+        )
\ No newline at end of file
diff --git a/market/models/trading_signal.py b/market/models/trading_signal.py
new file mode 100644
index 0000000..cc035f9
--- /dev/null
+++ b/market/models/trading_signal.py
@@ -0,0 +1,180 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易信号数据模型
+纯分析结果，不含仓位资金
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime, timedelta
+from typing import Dict, Optional
+import uuid
+
+
+class SignalSource:
+    """信号来源"""
+    PIVOT = "pivot"              # 转折点信号
+    KEY_LEVEL = "key_level"      # 关键点位信号
+    AI_ENTRY = "ai_entry"        # AI入场信号
+
+
+class SignalStatus:
+    """信号状态"""
+    ACTIVE = "active"            # 活跃
+    EXPIRED = "expired"          # 已过期
+    USED = "used"                # 已被使用（生成决策）
+
+
+@dataclass
+class TradingSignal:
+    """交易信号 - 纯分析结果，不含仓位资金"""
+
+    # ==================== 基本信息 ====================
+    symbol: str                       # 品种
+    action: str                       # 方向: buy/sell
+    confidence: int = 50              # 置信度 0-100
+
+    # ==================== 来源 ====================
+    source: str = ""                  # pivot/key_level/ai_entry
+    source_period: str = ""           # 来源周期 (H4/H1/M15/M5/M1)
+
+    # ==================== 触发信息 ====================
+    trigger_price: float = 0.0        # 触发价格
+    trigger_time: datetime = None     # 触发时间
+    trigger_reason: str = ""          # 触发原因
+
+    # ==================== 建议参数 ====================
+    suggested_entry: float = 0.0      # 建议入场价
+    suggested_sl: float = 0.0         # 建议止损
+    suggested_tp: float = 0.0         # 建议止盈
+    risk_reward_ratio: float = 0.0    # 风险回报比
+
+    # ==================== 来源特有参数 ====================
+    # Pivot信号
+    pivot_price: Optional[float] = None
+    pivot_type: Optional[str] = None      # high/low
+
+    # KeyLevel信号
+    key_level: Optional[float] = None
+    distance_pct: Optional[float] = None
+
+    # AI Entry信号
+    ai_analysis_period: Optional[str] = None
+
+    # ==================== 自动生成字段 ====================
+    signal_id: str = ""
+    status: str = SignalStatus.ACTIVE
+    created_at: datetime = None
+    expires_at: datetime = None
+
+    # 默认信号有效期（秒）
+    DEFAULT_TTL: int = field(default=300, repr=False)  # 5分钟
+
+    def __post_init__(self):
+        if not self.signal_id:
+            self.signal_id = str(uuid.uuid4())[:8]
+        if not self.created_at:
+            self.created_at = datetime.now()
+        if not self.trigger_time:
+            self.trigger_time = self.created_at
+        if not self.expires_at:
+            self.expires_at = self.created_at + timedelta(seconds=self.DEFAULT_TTL)
+
+    def is_expired(self) -> bool:
+        """检查是否已过期"""
+        return datetime.now() > self.expires_at
+
+    def is_active(self) -> bool:
+        """检查是否活跃"""
+        return self.status == SignalStatus.ACTIVE and not self.is_expired()
+
+    def mark_used(self) -> None:
+        """标记为已使用"""
+        self.status = SignalStatus.USED
+
+    def mark_expired(self) -> None:
+        """标记为已过期"""
+        self.status = SignalStatus.EXPIRED
+
+    def get_risk_points(self) -> float:
+        """获取风险点数"""
+        if self.action == "buy":
+            return abs(self.suggested_entry - self.suggested_sl)
+        else:
+            return abs(self.suggested_sl - self.suggested_entry)
+
+    def get_reward_points(self) -> float:
+        """获取回报点数"""
+        if self.action == "buy":
+            return abs(self.suggested_tp - self.suggested_entry)
+        else:
+            return abs(self.suggested_entry - self.suggested_tp)
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "signal_id": self.signal_id,
+            "symbol": self.symbol,
+            "action": self.action,
+            "confidence": self.confidence,
+            "source": self.source,
+            "source_period": self.source_period,
+            "trigger_price": self.trigger_price,
+            "trigger_time": self.trigger_time.isoformat() if self.trigger_time else None,
+            "trigger_reason": self.trigger_reason,
+            "suggested_entry": self.suggested_entry,
+            "suggested_sl": self.suggested_sl,
+            "suggested_tp": self.suggested_tp,
+            "risk_reward_ratio": self.risk_reward_ratio,
+            "pivot_price": self.pivot_price,
+            "pivot_type": self.pivot_type,
+            "key_level": self.key_level,
+            "distance_pct": self.distance_pct,
+            "ai_analysis_period": self.ai_analysis_period,
+            "status": self.status,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "expires_at": self.expires_at.isoformat() if self.expires_at else None,
+            "risk_points": self.get_risk_points(),
+            "reward_points": self.get_reward_points(),
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'TradingSignal':
+        """从字典创建"""
+        trigger_time = data.get('trigger_time')
+        if isinstance(trigger_time, str):
+            trigger_time = datetime.fromisoformat(trigger_time)
+
+        created_at = data.get('created_at')
+        if isinstance(created_at, str):
+            created_at = datetime.fromisoformat(created_at)
+        elif created_at is None:
+            created_at = datetime.now()
+
+        expires_at = data.get('expires_at')
+        if isinstance(expires_at, str):
+            expires_at = datetime.fromisoformat(expires_at)
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            action=data.get('action', ''),
+            confidence=data.get('confidence', 50),
+            source=data.get('source', ''),
+            source_period=data.get('source_period', ''),
+            trigger_price=data.get('trigger_price', 0.0),
+            trigger_time=trigger_time,
+            trigger_reason=data.get('trigger_reason', ''),
+            suggested_entry=data.get('suggested_entry', 0.0),
+            suggested_sl=data.get('suggested_sl', 0.0),
+            suggested_tp=data.get('suggested_tp', 0.0),
+            risk_reward_ratio=data.get('risk_reward_ratio', 0.0),
+            pivot_price=data.get('pivot_price'),
+            pivot_type=data.get('pivot_type'),
+            key_level=data.get('key_level'),
+            distance_pct=data.get('distance_pct'),
+            ai_analysis_period=data.get('ai_analysis_period'),
+            signal_id=data.get('signal_id', ''),
+            status=data.get('status', SignalStatus.ACTIVE),
+            created_at=created_at,
+            expires_at=expires_at,
+        )
\ No newline at end of file
diff --git a/market/models/trading_strategy.py b/market/models/trading_strategy.py
new file mode 100644
index 0000000..ce8bcfb
--- /dev/null
+++ b/market/models/trading_strategy.py
@@ -0,0 +1,497 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易策略数据模型
+"""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, List, Optional
+import json
+import os
+import uuid
+
+
+class ConsistencyRequirement:
+    """一致性要求"""
+    ANY = "any"                  # 任一信号即可
+    MAJORITY = "majority"        # 多数信号一致
+    ALL = "all"                  # 所有信号一致
+
+
+class ConflictResolution:
+    """冲突解决策略"""
+    HIGHEST_CONFIDENCE = "highest_confidence"    # 最高置信度
+    HIGHEST_WEIGHT = "highest_weight"            # 最高权重
+    SKIP = "skip"                                # 跳过冲突
+
+
+class VolumeMode:
+    """手数模式"""
+    FIXED = "fixed"                          # 固定手数
+    RISK_PERCENT = "risk_percent"            # 风险百分比
+
+
+class StopLossMode:
+    """止损模式"""
+    SIGNAL = "signal"                        # 使用信号建议
+    FIXED_POINTS = "fixed_points"            # 固定点数
+    ATR_PERCENT = "atr_percent"              # ATR百分比
+
+
+class TakeProfitMode:
+    """止盈模式"""
+    SIGNAL = "signal"                        # 使用信号建议
+    FIXED_POINTS = "fixed_points"            # 固定点数
+    RISK_REWARD = "risk_reward"              # 风险回报比
+
+
+class PositionConflict:
+    """持仓冲突处理"""
+    ALLOW_OPPOSITE = "allow_opposite"        # 允许反向
+    ALLOW_SAME = "allow_same"                # 允许同向
+    ALLOW_BOTH = "allow_both"                # 都允许
+    BLOCK = "block"                          # 有持仓则阻止
+
+
+@dataclass
+class TradingStrategy:
+    """交易策略 - 绑定品种，配置信号权重和决策规则"""
+
+    # ==================== 基本信息 ====================
+    symbol: str                       # 绑定的品种
+    strategy_name: str = ""           # 策略名称
+
+    # ==================== 启用状态 ====================
+    enabled: bool = True              # 是否启用
+
+    # ==================== 信号源配置（新版：支持周期级别控制）====================
+    # 信号源配置结构：
+    # {
+    #   "pivot": {
+    #     "enabled": true,
+    #     "periods": {"M1": {"enabled": true, "weight": 15}, "M5": {"enabled": true, "weight": 20}, ...}
+    #   },
+    #   "key_level": {"enabled": true, "weight": 40},  # key_level 不区分周期
+    #   "ai_entry": {
+    #     "enabled": true,
+    #     "periods": {"M5": {"enabled": true, "weight": 20}, ...}
+    #   }
+    # }
+    signal_config: Dict = field(default_factory=lambda: {
+        "pivot": {
+            "enabled": True,
+            "periods": {
+                "M1": {"enabled": True, "weight": 15},
+                "M5": {"enabled": True, "weight": 20},
+                "M15": {"enabled": False, "weight": 25},
+                "H1": {"enabled": False, "weight": 20},
+                "H4": {"enabled": False, "weight": 20}
+            }
+        },
+        "key_level": {
+            "enabled": True,
+            "weight": 40
+        },
+        "ai_entry": {
+            "enabled": True,
+            "periods": {
+                "M1": {"enabled": False, "weight": 15},
+                "M5": {"enabled": True, "weight": 20},
+                "M15": {"enabled": True, "weight": 30},
+                "H1": {"enabled": True, "weight": 25},
+                "H4": {"enabled": False, "weight": 20}
+            }
+        }
+    })
+
+    # ==================== 信号权重配置（兼容旧版，已废弃）===================
+    signal_weights: Dict[str, int] = field(default_factory=lambda: {
+        "pivot": 30,
+        "key_level": 40,
+        "ai_entry": 30,
+    })
+
+    period_weights: Dict[str, int] = field(default_factory=lambda: {
+        "H4": 20,
+        "H1": 20,
+        "M15": 25,
+        "M5": 20,
+        "M1": 15,
+    })
+
+    # ==================== 信号过滤规则 ====================
+    min_confidence: int = 50
+    consistency_requirement: str = ConsistencyRequirement.MAJORITY
+    conflict_resolution: str = ConflictResolution.HIGHEST_WEIGHT
+
+    # ==================== 仓位管理 ====================
+    fixed_volume: float = 0.01
+    volume_mode: str = VolumeMode.FIXED
+    risk_percent: float = 1.0
+    max_risk_points: float = 50.0
+
+    max_positions: int = 3
+    max_same_direction: int = 2
+
+    # ==================== 止损止盈规则 ====================
+    sl_mode: str = StopLossMode.SIGNAL
+    sl_fixed_points: float = 20.0
+    sl_atr_multiplier: float = 1.5
+
+    tp_mode: str = TakeProfitMode.SIGNAL
+    tp_fixed_points: float = 40.0
+    tp_risk_reward: float = 2.0
+
+    # ==================== 过滤条件 ====================
+    min_risk_reward: float = 1.0
+    max_risk_reward: float = 5.0
+    min_sl_points: float = 5.0
+    max_sl_points: float = 100.0
+
+    # ==================== 时间过滤 ====================
+    trading_hours: Dict = field(default_factory=lambda: {
+        "start": "00:00",
+        "end": "23:59",
+        "exclude_hours": []
+    })
+
+    # ==================== 持仓冲突处理 ====================
+    position_conflict: str = PositionConflict.ALLOW_OPPOSITE
+
+    # ==================== 自动生成字段 ====================
+    strategy_id: str = ""
+    created_at: datetime = None
+    updated_at: datetime = None
+
+    def __post_init__(self):
+        if not self.strategy_id:
+            self.strategy_id = str(uuid.uuid4())[:8]
+        if not self.created_at:
+            self.created_at = datetime.now()
+        if not self.updated_at:
+            self.updated_at = self.created_at
+        if not self.strategy_name:
+            self.strategy_name = f"Strategy_{self.symbol}"
+
+    def update(self, data: Dict) -> None:
+        """更新配置"""
+        if "enabled" in data:
+            self.enabled = bool(data["enabled"])
+        if "signal_config" in data:
+            self.signal_config = data["signal_config"]
+        if "signal_weights" in data:
+            self.signal_weights = data["signal_weights"]
+        if "period_weights" in data:
+            self.period_weights = data["period_weights"]
+        if "min_confidence" in data:
+            self.min_confidence = int(data["min_confidence"])
+        if "consistency_requirement" in data:
+            self.consistency_requirement = data["consistency_requirement"]
+        if "conflict_resolution" in data:
+            self.conflict_resolution = data["conflict_resolution"]
+        if "fixed_volume" in data:
+            self.fixed_volume = float(data["fixed_volume"])
+        if "volume_mode" in data:
+            self.volume_mode = data["volume_mode"]
+        if "risk_percent" in data:
+            self.risk_percent = float(data["risk_percent"])
+        if "max_positions" in data:
+            self.max_positions = int(data["max_positions"])
+        if "max_same_direction" in data:
+            self.max_same_direction = int(data["max_same_direction"])
+        if "sl_mode" in data:
+            self.sl_mode = data["sl_mode"]
+        if "tp_mode" in data:
+            self.tp_mode = data["tp_mode"]
+        if "min_risk_reward" in data:
+            self.min_risk_reward = float(data["min_risk_reward"])
+        if "max_risk_reward" in data:
+            self.max_risk_reward = float(data["max_risk_reward"])
+        if "position_conflict" in data:
+            self.position_conflict = data["position_conflict"]
+        if "trading_hours" in data:
+            self.trading_hours = data["trading_hours"]
+
+        self.updated_at = datetime.now()
+
+    def get_signal_weight(self, source: str, period: str = None) -> int:
+        """
+        获取信号源权重（支持周期级别）
+
+        Args:
+            source: 信号源 (pivot/key_level/ai_entry)
+            period: 周期 (M1/M5/M15/H1/H4)，key_level 不需要周期
+
+        Returns:
+            权重值
+        """
+        # 优先使用新的 signal_config
+        if self.signal_config and source in self.signal_config:
+            config = self.signal_config[source]
+            if not config.get("enabled", True):
+                return 0
+
+            # key_level 不区分周期
+            if source == "key_level":
+                return config.get("weight", 0)
+
+            # 其他信号源区分周期
+            if period and "periods" in config:
+                period_config = config["periods"].get(period, {})
+                if not period_config.get("enabled", False):
+                    return 0
+                return period_config.get("weight", 0)
+
+            # 如果没有 period 配置，返回 0
+            return 0
+
+        # 兼容旧版 signal_weights
+        return self.signal_weights.get(source, 0)
+
+    def is_signal_enabled(self, source: str, period: str = None) -> bool:
+        """
+        检查信号源是否启用
+
+        Args:
+            source: 信号源
+            period: 周期（key_level 不需要）
+
+        Returns:
+            是否启用
+        """
+        if not self.signal_config or source not in self.signal_config:
+            # 兼容旧版：signal_weights 中有配置就认为启用
+            return source in self.signal_weights and self.signal_weights[source] > 0
+
+        config = self.signal_config[source]
+        if not config.get("enabled", True):
+            return False
+
+        # key_level 不区分周期
+        if source == "key_level":
+            return True
+
+        # 其他信号源需要检查周期
+        if period and "periods" in config:
+            period_config = config["periods"].get(period, {})
+            return period_config.get("enabled", False)
+
+        return False
+
+    def get_period_weight(self, period: str) -> int:
+        """获取周期权重（兼容旧版）"""
+        return self.period_weights.get(period, 0)
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "strategy_id": self.strategy_id,
+            "strategy_name": self.strategy_name,
+            "symbol": self.symbol,
+            "enabled": self.enabled,
+            "signal_config": self.signal_config,
+            "signal_weights": self.signal_weights,
+            "period_weights": self.period_weights,
+            "min_confidence": self.min_confidence,
+            "consistency_requirement": self.consistency_requirement,
+            "conflict_resolution": self.conflict_resolution,
+            "fixed_volume": self.fixed_volume,
+            "volume_mode": self.volume_mode,
+            "risk_percent": self.risk_percent,
+            "max_risk_points": self.max_risk_points,
+            "max_positions": self.max_positions,
+            "max_same_direction": self.max_same_direction,
+            "sl_mode": self.sl_mode,
+            "sl_fixed_points": self.sl_fixed_points,
+            "sl_atr_multiplier": self.sl_atr_multiplier,
+            "tp_mode": self.tp_mode,
+            "tp_fixed_points": self.tp_fixed_points,
+            "tp_risk_reward": self.tp_risk_reward,
+            "min_risk_reward": self.min_risk_reward,
+            "max_risk_reward": self.max_risk_reward,
+            "min_sl_points": self.min_sl_points,
+            "max_sl_points": self.max_sl_points,
+            "trading_hours": self.trading_hours,
+            "position_conflict": self.position_conflict,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "updated_at": self.updated_at.isoformat() if self.updated_at else None,
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'TradingStrategy':
+        """从字典创建"""
+        created_at = data.get('created_at')
+        if isinstance(created_at, str):
+            created_at = datetime.fromisoformat(created_at)
+
+        updated_at = data.get('updated_at')
+        if isinstance(updated_at, str):
+            updated_at = datetime.fromisoformat(updated_at)
+
+        # 默认 signal_config
+        default_signal_config = {
+            "pivot": {
+                "enabled": True,
+                "periods": {
+                    "M1": {"enabled": True, "weight": 15},
+                    "M5": {"enabled": True, "weight": 20},
+                    "M15": {"enabled": False, "weight": 25},
+                    "H1": {"enabled": False, "weight": 20},
+                    "H4": {"enabled": False, "weight": 20}
+                }
+            },
+            "key_level": {
+                "enabled": True,
+                "weight": 40
+            },
+            "ai_entry": {
+                "enabled": True,
+                "periods": {
+                    "M1": {"enabled": False, "weight": 15},
+                    "M5": {"enabled": True, "weight": 20},
+                    "M15": {"enabled": True, "weight": 30},
+                    "H1": {"enabled": True, "weight": 25},
+                    "H4": {"enabled": False, "weight": 20}
+                }
+            }
+        }
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            strategy_name=data.get('strategy_name', ''),
+            enabled=data.get('enabled', True),
+            signal_config=data.get('signal_config', default_signal_config),
+            signal_weights=data.get('signal_weights', {"pivot": 30, "key_level": 40, "ai_entry": 30}),
+            period_weights=data.get('period_weights', {"H4": 20, "H1": 20, "M15": 25, "M5": 20, "M1": 15}),
+            min_confidence=data.get('min_confidence', 50),
+            consistency_requirement=data.get('consistency_requirement', ConsistencyRequirement.MAJORITY),
+            conflict_resolution=data.get('conflict_resolution', ConflictResolution.HIGHEST_WEIGHT),
+            fixed_volume=data.get('fixed_volume', 0.01),
+            volume_mode=data.get('volume_mode', VolumeMode.FIXED),
+            risk_percent=data.get('risk_percent', 1.0),
+            max_risk_points=data.get('max_risk_points', 50.0),
+            max_positions=data.get('max_positions', 3),
+            max_same_direction=data.get('max_same_direction', 2),
+            sl_mode=data.get('sl_mode', StopLossMode.SIGNAL),
+            sl_fixed_points=data.get('sl_fixed_points', 20.0),
+            sl_atr_multiplier=data.get('sl_atr_multiplier', 1.5),
+            tp_mode=data.get('tp_mode', TakeProfitMode.SIGNAL),
+            tp_fixed_points=data.get('tp_fixed_points', 40.0),
+            tp_risk_reward=data.get('tp_risk_reward', 2.0),
+            min_risk_reward=data.get('min_risk_reward', 1.0),
+            max_risk_reward=data.get('max_risk_reward', 5.0),
+            min_sl_points=data.get('min_sl_points', 5.0),
+            max_sl_points=data.get('max_sl_points', 100.0),
+            trading_hours=data.get('trading_hours', {"start": "00:00", "end": "23:59", "exclude_hours": []}),
+            position_conflict=data.get('position_conflict', PositionConflict.ALLOW_OPPOSITE),
+            strategy_id=data.get('strategy_id', ''),
+            created_at=created_at,
+            updated_at=updated_at,
+        )
+
+
+@dataclass
+class TradingDecision:
+    """交易决策 - 策略层输出"""
+
+    # ==================== 基本信息 ====================
+    symbol: str                       # 品种
+    strategy_id: str                  # 来源策略ID
+
+    # ==================== 决策结果 ====================
+    action: str = ""                  # buy/sell/none
+    decision_type: str = ""           # signal_combined / single_signal / manual
+
+    # ==================== 信号汇总 ====================
+    signals: List[Dict] = field(default_factory=list)
+    signal_summary: Dict = field(default_factory=dict)
+
+    # ==================== 执行参数 ====================
+    entry_price: float = 0.0
+    sl: float = 0.0
+    tp: float = 0.0
+    volume: float = 0.01
+
+    risk_points: float = 0.0
+    reward_points: float = 0.0
+    risk_reward_ratio: float = 0.0
+
+    # ==================== 决策理由 ====================
+    decision_reason: str = ""
+    confidence_score: float = 0.0
+
+    # ==================== 检查结果 ====================
+    position_check: Dict = field(default_factory=dict)
+    risk_check: Dict = field(default_factory=dict)
+
+    # ==================== 状态 ====================
+    decision_id: str = ""
+    status: str = "pending"           # pending/confirmed/rejected/expired
+    created_at: datetime = None
+
+    # ==================== 关联 ====================
+    order_id: Optional[str] = None
+
+    def __post_init__(self):
+        if not self.decision_id:
+            self.decision_id = str(uuid.uuid4())[:8]
+        if not self.created_at:
+            self.created_at = datetime.now()
+
+    def to_dict(self) -> Dict:
+        """转换为字典"""
+        return {
+            "decision_id": self.decision_id,
+            "symbol": self.symbol,
+            "strategy_id": self.strategy_id,
+            "action": self.action,
+            "decision_type": self.decision_type,
+            "signals": self.signals,
+            "signal_summary": self.signal_summary,
+            "entry_price": self.entry_price,
+            "sl": self.sl,
+            "tp": self.tp,
+            "volume": self.volume,
+            "risk_points": self.risk_points,
+            "reward_points": self.reward_points,
+            "risk_reward_ratio": self.risk_reward_ratio,
+            "decision_reason": self.decision_reason,
+            "confidence_score": self.confidence_score,
+            "position_check": self.position_check,
+            "risk_check": self.risk_check,
+            "status": self.status,
+            "created_at": self.created_at.isoformat() if self.created_at else None,
+            "order_id": self.order_id,
+        }
+
+    @classmethod
+    def from_dict(cls, data: Dict) -> 'TradingDecision':
+        """从字典创建"""
+        created_at = data.get('created_at')
+        if isinstance(created_at, str):
+            created_at = datetime.fromisoformat(created_at)
+
+        return cls(
+            symbol=data.get('symbol', ''),
+            strategy_id=data.get('strategy_id', ''),
+            action=data.get('action', ''),
+            decision_type=data.get('decision_type', ''),
+            signals=data.get('signals', []),
+            signal_summary=data.get('signal_summary', {}),
+            entry_price=data.get('entry_price', 0.0),
+            sl=data.get('sl', 0.0),
+            tp=data.get('tp', 0.0),
+            volume=data.get('volume', 0.01),
+            risk_points=data.get('risk_points', 0.0),
+            reward_points=data.get('reward_points', 0.0),
+            risk_reward_ratio=data.get('risk_reward_ratio', 0.0),
+            decision_reason=data.get('decision_reason', ''),
+            confidence_score=data.get('confidence_score', 0.0),
+            position_check=data.get('position_check', {}),
+            risk_check=data.get('risk_check', {}),
+            decision_id=data.get('decision_id', ''),
+            status=data.get('status', 'pending'),
+            created_at=created_at,
+            order_id=data.get('order_id'),
+        )
\ No newline at end of file
diff --git a/market/monitor.py b/market/monitor.py
deleted file mode 100644
index 9024f30..0000000
--- a/market/monitor.py
+++ /dev/null
@@ -1,1049 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-转折点监控模块
-实时监控价格与转折点的接近程度，并通过WebSocket推送提醒
-"""
-
-from typing import Dict, List, Optional, Set
-from datetime import datetime
-import threading
-import asyncio
-import json
-import os
-
-from .store import MarketStore
-from .pivot_detector import PivotDetector
-from .pending_orders import PendingOrderManager
-
-
-# 配置文件路径
-CONFIG_FILE = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'data', 'trade_config.json')
-
-
-# 交易配置
-class TradeConfig:
-    """交易配置"""
-    _instance = None
-    _lock = threading.Lock()
-
-    def __init__(self):
-        self.enabled = True  # 是否启用自动生成
-
-        # 默认配置
-        self.default_volume = 0.01  # 默认手数
-        self.default_sl_offset = 0.05  # 默认止损偏移（固定点数）
-
-        # MT5服务器时区偏移（单位：小时）
-        # 正数表示MT5时间比本地时间快，负数表示比本地时间慢
-        # 例如：MT5服务器时间是GMT+2，本地时间是GMT+8，则偏移为 -6
-        self.mt5_timezone_offset = 0
-
-        # 按品种配置: {symbol: {"volume": 0.01, "sl_offset": 0.05, "key_levels": "5000,5100", "key_level_threshold": 0.0008}}
-        self.symbol_config = {
-            "GOLD#": {"volume": 0.01, "sl_offset": 0.5},
-            "OILCASH#": {"volume": 0.01, "sl_offset": 0.05},
-        }
-
-        # 启动时自动加载配置文件
-        self._load_from_file()
-
-    def _load_from_file(self):
-        """从配置文件加载配置"""
-        try:
-            if os.path.exists(CONFIG_FILE):
-                with open(CONFIG_FILE, 'r', encoding='utf-8') as f:
-                    data = json.load(f)
-                    self.update(data)
-                print(f"[TradeConfig] 已从配置文件加载: mt5_timezone_offset={self.mt5_timezone_offset}")
-            else:
-                print(f"[TradeConfig] 配置文件不存在: {CONFIG_FILE}，使用默认配置")
-        except Exception as e:
-            print(f"[TradeConfig] 加载配置文件失败: {e}，使用默认配置")
-
-    def save_to_file(self):
-        """保存配置到文件"""
-        try:
-            os.makedirs(os.path.dirname(CONFIG_FILE), exist_ok=True)
-            with open(CONFIG_FILE, 'w', encoding='utf-8') as f:
-                json.dump(self.to_dict(), f, indent=2, ensure_ascii=False)
-            print(f"[TradeConfig] 配置已保存到: {CONFIG_FILE}")
-            return True
-        except Exception as e:
-            print(f"[TradeConfig] 保存配置文件失败: {e}")
-            return False
-
-    @classmethod
-    def get_instance(cls):
-        if cls._instance is None:
-            with cls._lock:
-                if cls._instance is None:
-                    cls._instance = cls()
-        return cls._instance
-
-    def get_symbol_config(self, symbol: str) -> Dict:
-        """获取品种配置，如果未配置则返回默认值"""
-        if symbol in self.symbol_config:
-            config = self.symbol_config[symbol]
-            return {
-                "volume": config.get("volume", self.default_volume),
-                "sl_offset": config.get("sl_offset", self.default_sl_offset),
-                "key_levels": config.get("key_levels", ""),
-                "key_level_threshold": config.get("key_level_threshold", 0.0008)
-            }
-        return {
-            "volume": self.default_volume,
-            "sl_offset": self.default_sl_offset,
-            "key_levels": "",
-            "key_level_threshold": 0.0008
-        }
-
-    def get_key_levels(self, symbol: str) -> List[float]:
-        """
-        获取品种的关键点位列表
-
-        Args:
-            symbol: 品种名称
-
-        Returns:
-            关键点位列表，如 [5000, 5100, 5200]
-        """
-        config = self.get_symbol_config(symbol)
-        key_levels_str = config.get("key_levels", "")
-        if not key_levels_str:
-            return []
-
-        levels = []
-        for level_str in key_levels_str.split(","):
-            level_str = level_str.strip()
-            if level_str:
-                try:
-                    levels.append(float(level_str))
-                except ValueError:
-                    continue
-        return sorted(levels)
-
-    def to_dict(self) -> Dict:
-        return {
-            "enabled": self.enabled,
-            "default_volume": self.default_volume,
-            "default_sl_offset": self.default_sl_offset,
-            "mt5_timezone_offset": self.mt5_timezone_offset,
-            "symbol_config": self.symbol_config
-        }
-
-    def update(self, data: Dict):
-        if "enabled" in data:
-            self.enabled = bool(data["enabled"])
-        if "default_volume" in data:
-            self.default_volume = float(data["default_volume"])
-        if "default_sl_offset" in data:
-            self.default_sl_offset = float(data["default_sl_offset"])
-        if "mt5_timezone_offset" in data:
-            self.mt5_timezone_offset = float(data["mt5_timezone_offset"])
-        if "symbol_config" in data:
-            self.symbol_config = data["symbol_config"]
-
-
-class PivotMonitor:
-    """转折点监控器"""
-
-    def __init__(self, store: MarketStore, detector: PivotDetector,
-                 pending_orders: PendingOrderManager = None, llm_analyzer=None):
-        self.store = store
-        self.detector = detector
-        self.pending_orders = pending_orders
-        self.trade_config = TradeConfig.get_instance()
-        self.llm_analyzer = llm_analyzer
-
-        # WebSocket连接管理
-        self._ws_clients: Set = set()
-        self._ws_lock = threading.Lock()
-
-        # 已提醒的转折点（避免重复提醒）
-        # 结构: {(symbol, period, timestamp, price): datetime}
-        self._alerted_pivots: Dict[tuple, datetime] = {}
-        self._alert_lock = threading.Lock()
-
-        # AI入场价提醒冷却（避免重复提醒）
-        self._alerted_ai_entries: Dict[str, datetime] = {}
-
-        # 关键点位订单冷却（避免重复生成订单）
-        # 结构: {symbol_key: datetime}
-        self._alerted_key_levels: Dict[str, datetime] = {}
-
-        # 主事件循环引用（在FastAPI启动时设置）
-        self._main_loop = None
-
-        # 提醒冷却时间（秒）
-        self.alert_cooldown = 300  # 5分钟内同一转折点不重复提醒
-
-        # 关键点位订单冷却时间（秒）- 与订单超时时间一致
-        self.key_level_cooldown = 180  # 3分钟
-
-        print("[PivotMonitor] 转折点监控器已初始化")
-
-    def set_event_loop(self, loop):
-        """设置主事件循环引用"""
-        self._main_loop = loop
-        print(f"[PivotMonitor] 已设置主事件循环")
-
-    def set_statistics_history(self, statistics_history):
-        """设置统计数据历史引用（用于获取价差）"""
-        self._statistics_history = statistics_history
-
-    def _get_symbol_spread(self, symbol: str) -> Optional[float]:
-        """
-        获取指定品种的最新价差
-
-        Args:
-            symbol: 品种名称
-
-        Returns:
-            价差（金额），如果没有返回None
-        """
-        if not hasattr(self, '_statistics_history') or not self._statistics_history:
-            return None
-
-        symbol_normalized = symbol.replace('#', '')
-
-        # 从最新的统计数据中查找该品种的价差
-        for stat in reversed(list(self._statistics_history)):
-            stat_symbol = stat.get('symbol', '')
-            stat_normalized = stat_symbol.replace('#', '')
-            if stat_normalized == symbol_normalized:
-                spread = stat.get('spread')
-                if spread is not None and spread > 0:
-                    return spread
-
-        return None
-
-    def _calculate_take_profit(self, action: str, entry_price: float, sl: float, tp: float = None) -> Optional[float]:
-        """
-        计算并修正止盈价格
-
-        规则：
-        1. 止盈方向必须正确（买入止盈>入场价，卖出止盈<入场价）
-        2. 风险回报比至少为1（止盈距离 >= 止损距离）
-        3. 如果不满足，按照风险回报比=1重新计算
-
-        Args:
-            action: 'b' 买入 或 's' 卖出
-            entry_price: 入场价格
-            sl: 止损价格
-            tp: 原始止盈价格（可能为None）
-
-        Returns:
-            修正后的止盈价格，如果止损设置有问题返回None
-        """
-        if action == 'b':
-            # 买入：止损应该 < 入场价
-            risk = entry_price - sl
-            if risk <= 0:
-                # 止损设置有问题（止损高于入场价），不生成订单
-                print(f"[PivotMonitor] 警告: 买入止损{sl}高于入场价{entry_price}，跳过订单")
-                return None
-
-            # 计算最小止盈（风险回报比=1）
-            min_tp = entry_price + risk
-
-            # 如果没有止盈，或者止盈不满足条件，使用最小止盈
-            if tp is None or tp <= entry_price or (tp - entry_price) < risk:
-                print(f"[PivotMonitor] 修正买入止盈: 原{tp} -> 新{min_tp:.2f} (风险={risk:.2f})")
-                return round(min_tp, 2)
-            return round(tp, 2)
-
-        else:  # action == 's'
-            # 卖出：止损应该 > 入场价
-            risk = sl - entry_price
-            if risk <= 0:
-                # 止损设置有问题（止损低于入场价），不生成订单
-                print(f"[PivotMonitor] 警告: 卖出止损{sl}低于入场价{entry_price}，跳过订单")
-                return None
-
-            # 计算最小止盈（风险回报比=1）
-            min_tp = entry_price - risk
-
-            # 如果没有止盈，或者止盈不满足条件，使用最小止盈
-            if tp is None or tp >= entry_price or (entry_price - tp) < risk:
-                print(f"[PivotMonitor] 修正卖出止盈: 原{tp} -> 新{min_tp:.2f} (风险={risk:.2f})")
-                return round(min_tp, 2)
-            return round(tp, 2)
-
-    def _get_auto_key_levels(self, symbol: str, current_price: float) -> List[float]:
-        """
-        根据品种价格位数自动计算关键点位
-
-        规则：
-        - 一位数价格：能被1整除
-        - 两位数价格：能被5整除
-        - 三位数价格：能被10整除
-        - 四位数价格：能被100整除
-        - 五位数或六位数价格：能被1000整除
-
-        Args:
-            symbol: 品种名称
-            current_price: 当前价格
-
-        Returns:
-            关键点位列表（当前价格上下各3个）
-        """
-        if current_price <= 0:
-            return []
-
-        # 计算整数部分位数
-        int_part = int(current_price)
-        num_digits = len(str(int_part)) if int_part > 0 else 1
-
-        # 根据位数确定步长
-        if num_digits == 1:
-            step = 1
-        elif num_digits == 2:
-            step = 5
-        elif num_digits == 3:
-            step = 10
-        elif num_digits == 4:
-            step = 100
-        else:  # 5位数或6位数
-            step = 1000
-
-        # 计算当前价格所在的基础点位
-        base_level = int(current_price / step) * step
-
-        # 生成上下各3个关键点位
-        levels = []
-        for i in range(-3, 4):
-            level = base_level + i * step
-            if level > 0:  # 确保价格为正
-                levels.append(float(level))
-
-        return sorted(levels)
-
-    def check_key_levels(self, symbol: str, current_price: float) -> Optional[Dict]:
-        """
-        检查价格是否接近关键点位，并生成交易指令
-
-        策略逻辑：
-        - 向下走接近关键点位 → 买入（支撑位）
-        - 向上走接近关键点位 → 卖出（压力位）
-
-        如果没有配置关键点位，则自动计算关键点位
-
-        Args:
-            symbol: 交易品种
-            current_price: 当前价格
-
-        Returns:
-            交易指令或None
-        """
-        if not self.trade_config.enabled:
-            return None
-
-        # 获取关键点位配置
-        key_levels = self.trade_config.get_key_levels(symbol)
-
-        # 如果没有配置关键点位，自动计算
-        if not key_levels:
-            key_levels = self._get_auto_key_levels(symbol, current_price)
-
-        if not key_levels:
-            return None
-
-        threshold = self.trade_config.get_symbol_config(symbol).get("key_level_threshold", 0.0008)
-
-        # 找到最近的关键点位
-        nearest_level = None
-        min_distance = float('inf')
-
-        for level in key_levels:
-            distance_pct = abs(current_price - level) / current_price
-            if distance_pct < min_distance:
-                min_distance = distance_pct
-                nearest_level = level
-
-        if nearest_level is None:
-            return None
-
-        # 判断是否在阈值范围内
-        distance_pct = abs(current_price - nearest_level) / current_price
-        if distance_pct > threshold:
-            return None
-
-        # 检查是否已经为该关键点位生成过订单（在冷却时间内）
-        current_time = datetime.now()
-        key_level_key = f"{symbol}_{nearest_level}"
-        if key_level_key in self._alerted_key_levels:
-            last_alert = self._alerted_key_levels[key_level_key]
-            elapsed = (current_time - last_alert).total_seconds()
-            if elapsed < self.key_level_cooldown:
-                # 还在冷却时间内，跳过
-                return None
-
-        # 记录提醒时间
-        self._alerted_key_levels[key_level_key] = current_time
-
-        # 判断走势方向：通过价格相对于关键点位的位置
-
-        # 获取品种配置
-        config = self.trade_config.get_symbol_config(symbol)
-        volume = config["volume"]
-
-        # 获取价差
-        spread = self._get_symbol_spread(symbol)
-
-        # 根据价格与关键点位的关系判断方向
-        if current_price > nearest_level:
-            # 价格在关键点位上方，向下接近 → 买入（支撑位）
-            action = 'b'
-            sl = nearest_level - (nearest_level * 0.006)  # 关键点位下方万分之六
-            if spread:
-                sl -= spread  # 买入止损需要更低
-            # 止盈：1.5倍风险回报比
-            risk = current_price - sl
-            tp = current_price + risk * 1.5
-            if spread:
-                tp -= spread  # 买入止盈需要更低
-            reason = f"关键点位策略: 价格向下接近 {nearest_level}（支撑位）"
-        else:
-            # 价格在关键点位下方，向上接近 → 卖出（压力位）
-            action = 's'
-            sl = nearest_level + (nearest_level * 0.006)  # 关键点位上方万分之六
-            if spread:
-                sl += spread  # 卖出止损需要更高
-            # 止盈：1.5倍风险回报比
-            risk = sl - current_price
-            tp = current_price - risk * 1.5
-            if spread:
-                tp += spread  # 卖出止盈需要更高
-            reason = f"关键点位策略: 价格向上接近 {nearest_level}（压力位）"
-
-        # 验证并修正止盈
-        tp = self._calculate_take_profit(action, current_price, sl, tp)
-        if tp is None:
-            # 止损设置有问题，不生成订单
-            return None
-
-        # 获取各周期的AI建议方向
-        ai_directions = self._get_ai_directions_by_period(symbol)
-        key_level_direction_text = '买入' if action == 'b' else '卖出'
-
-        # 判断方向一致性并生成建议
-        direction_analysis = self._analyze_direction_consistency(action, ai_directions)
-
-        # 创建订单
-        order = {
-            "symbol": symbol,
-            "action": action,
-            "price": current_price,
-            "mount": volume,
-            "sl": round(sl, 2),
-            "tp": tp,
-            "reason": reason,
-            "description": "Key Level Strategy",
-            "source": "key_level",
-            "key_level": nearest_level,
-            "distance_pct": round(distance_pct * 100, 4),
-            "generated_at": current_time.isoformat(),
-            # 新增AI方向对比字段
-            "ai_directions": ai_directions,  # 各周期AI方向
-            "key_level_direction_text": key_level_direction_text,
-            "direction_consistent": direction_analysis['is_consistent'],
-            "consistent_periods": direction_analysis['consistent_periods'],
-            "inconsistent_periods": direction_analysis['inconsistent_periods'],
-            "recommendation": direction_analysis['recommendation'],
-            "recommendation_color": direction_analysis['recommendation_color']
-        }
-
-        # 添加到待确认订单
-        if self.pending_orders:
-            order_id = self.pending_orders.add_order(order)
-            order["order_id"] = order_id
-
-            print(f"[PivotMonitor] 关键点位策略生成订单: {order_id} - {action} {symbol} @ {current_price}, 关键位={nearest_level}, SL={sl:.2f}, TP={tp:.2f}")
-            print(f"[PivotMonitor] AI各周期方向: {ai_directions}, 关键点位方向: {key_level_direction_text}, 一致周期: {direction_analysis['consistent_periods']}, 建议: {direction_analysis['recommendation']}")
-
-            # 推送关键点位订单通知到前端
-            self._broadcast_key_level_order(order)
-
-            return order
-
-        return None
-
-    def _get_ai_directions_by_period(self, symbol: str) -> Dict[str, Dict]:
-        """
-        获取AI各周期的交易建议方向
-
-        Args:
-            symbol: 交易品种
-
-        Returns:
-            {period: {'direction': 'buy'/'sell', 'text': '买入'/'卖出', 'entry_price': xxx}}
-        """
-        if not self.llm_analyzer:
-            return {}
-
-        result = {}
-        try:
-            analysis = self.llm_analyzer.get_analysis(symbol)
-            if not analysis:
-                return {}
-
-            # 从交易建议中获取各周期方向
-            analysis_data = analysis.get('analysis', {})
-            trade_suggestions = analysis_data.get('trade_suggestions', [])
-
-            for suggestion in trade_suggestions:
-                period = suggestion.get('period', '')
-                direction = suggestion.get('direction', '')
-                entry_price = suggestion.get('entry_price')
-
-                if period and direction:
-                    # 标准化方向
-                    direction_lower = direction.lower().strip()
-                    if direction_lower in ['buy', '买入', '多头']:
-                        direction_normalized = 'buy'
-                        direction_text = '买入'
-                    elif direction_lower in ['sell', '卖出', '空头']:
-                        direction_normalized = 'sell'
-                        direction_text = '卖出'
-                    else:
-                        continue
-
-                    result[period] = {
-                        'direction': direction_normalized,
-                        'text': direction_text,
-                        'entry_price': entry_price
-                    }
-
-            return result
-        except Exception as e:
-            print(f"[PivotMonitor] 获取AI各周期方向失败: {e}")
-            return {}
-
-    def _analyze_direction_consistency(self, key_level_action: str, ai_directions: Dict[str, Dict]) -> Dict:
-        """
-        分析关键点位方向与AI各周期方向的一致性
-
-        Args:
-            key_level_action: 'b' 或 's'
-            ai_directions: {period: {'direction': 'buy'/'sell', ...}}
-
-        Returns:
-            {
-                'is_consistent': bool,  # 是否有任一周期一致
-                'consistent_periods': [],  # 一致的周期列表
-                'inconsistent_periods': [],  # 不一致的周期列表
-                'recommendation': str,  # 建议文本
-                'recommendation_color': str  # 建议颜色
-            }
-        """
-        if not ai_directions:
-            return {
-                'is_consistent': False,
-                'consistent_periods': [],
-                'inconsistent_periods': [],
-                'recommendation': 'AI暂无建议，请谨慎操作',
-                'recommendation_color': 'warning'
-            }
-
-        consistent_periods = []
-        inconsistent_periods = []
-
-        for period, dir_info in ai_directions.items():
-            ai_dir = dir_info.get('direction', '')
-
-            # b = buy, s = sell
-            if (key_level_action == 'b' and ai_dir == 'buy') or \
-               (key_level_action == 's' and ai_dir == 'sell'):
-                consistent_periods.append(period)
-            else:
-                inconsistent_periods.append(period)
-
-        # 判断整体一致性
-        is_consistent = len(consistent_periods) > 0 and len(inconsistent_periods) == 0
-
-        # 生成建议
-        if len(consistent_periods) == len(ai_directions):
-            # 全部一致
-            recommendation = f"AI各周期方向一致，建议下单"
-            recommendation_color = "success"
-        elif len(consistent_periods) > 0:
-            # 部分一致
-            recommendation = f"AI部分周期一致({','.join(consistent_periods)})，建议谨慎"
-            recommendation_color = "warning"
-        else:
-            # 全部不一致
-            recommendation = f"AI方向不一致，建议慎重"
-            recommendation_color = "error"
-
-        return {
-            'is_consistent': is_consistent,
-            'consistent_periods': consistent_periods,
-            'inconsistent_periods': inconsistent_periods,
-            'recommendation': recommendation,
-            'recommendation_color': recommendation_color
-        }
-
-    def check_ai_entry(self, symbol: str, current_price: float) -> List[Dict]:
-        """
-        检查价格是否接近AI建议的入场价，并生成交易指令
-
-        Args:
-            symbol: 交易品种
-            current_price: 当前价格
-
-        Returns:
-            AI入场价提醒列表
-        """
-        if not self.llm_analyzer:
-            return []
-
-        if not self.trade_config.enabled:
-            return []
-
-        # 检查AI入场价
-        ai_matches = self.llm_analyzer.check_entry_price_nearby(symbol, current_price, threshold=0.0001)
-
-        ai_entry_alerts = []
-        current_time = datetime.now()
-
-        # 获取价差
-        spread = self._get_symbol_spread(symbol)
-
-        for match in ai_matches:
-            # 生成待确认订单
-            action = 'b' if match['direction'] == 'buy' else 's'
-
-            # 检查是否已经提醒过这个AI入场价（5分钟内不重复）
-            ai_key = f"{symbol}_{match['period']}_{match['entry_price']}_{match['direction']}"
-            if ai_key in self._alerted_ai_entries:
-                last_alert = self._alerted_ai_entries[ai_key]
-                elapsed = (current_time - last_alert).total_seconds()
-                if elapsed < self.alert_cooldown:
-                    continue
-
-            # 记录提醒时间
-            self._alerted_ai_entries[ai_key] = current_time
-
-            # 根据方向调整止损止盈（考虑价差）
-            sl = match['stop_loss']
-            tp = match['take_profit']
-            if spread:
-                if action == 'b':
-                    # 买入：止损需要更低，止盈需要更低
-                    sl -= spread
-                    tp -= spread
-                else:
-                    # 卖出：止损需要更高，止盈需要更高
-                    sl += spread
-                    tp += spread
-
-            # 验证并修正止盈
-            tp = self._calculate_take_profit(action, current_price, sl, tp)
-            if tp is None:
-                # 止损设置有问题，跳过此订单
-                continue
-
-            order = {
-                "symbol": symbol,
-                "action": action,
-                "price": current_price,
-                "mount": self.trade_config.get_symbol_config(symbol).get("volume", 0.01),
-                "sl": round(sl, 2) if sl else None,
-                "tp": tp,
-                "reason": f"AI建议入场: {match['reason']}",
-                "description": "AI Trend Strategy",
-                "source": "ai_entry_nearby",
-                "ai_period": match['period'],
-                "ai_entry_price": match['entry_price'],
-                "ai_direction": match['direction'],
-                "generated_at": current_time.isoformat()
-            }
-
-            # 添加到待确认订单
-            if self.pending_orders:
-                order_id = self.pending_orders.add_order(order)
-                order["order_id"] = order_id
-
-                # 构建提醒
-                alert = {
-                    "type": "ai_entry_alert",
-                    "symbol": symbol,
-                    "period": match['period'],
-                    "direction": match['direction'],
-                    "entry_price": match['entry_price'],
-                    "current_price": current_price,
-                    "price_diff_pct": match['price_diff_pct'],
-                    "stop_loss": sl,
-                    "take_profit": tp,
-                    "reason": match['reason'],
-                    "pending_order": order,
-                    "timestamp": current_time.isoformat()
-                }
-                ai_entry_alerts.append(alert)
-
-                print(f"[PivotMonitor] AI趋势策略生成订单: {order_id} - {action} {symbol} @ {current_price}, AI入场价={match['entry_price']}")
-
-                # 广播AI入场价提醒
-                self._broadcast_alert(alert)
-
-        return ai_entry_alerts
-
-    def check_and_alert(self, symbol: str, current_price: float) -> List[Dict]:
-        """
-        检查价格是否接近转折点，并发送提醒
-        同时检测关键点位策略
-
-        Args:
-            symbol: 交易品种
-            current_price: 当前价格
-
-        Returns:
-            接近的转折点列表
-        """
-        # 检查关键点位策略
-        self.check_key_levels(symbol, current_price)
-
-        # 检查AI趋势策略
-        self.check_ai_entry(symbol, current_price)
-
-        # 检查是否接近转折点
-        near_pivots = self.detector.check_near_pivot(symbol, current_price)
-
-        if not near_pivots:
-            return []
-
-        # 过滤已提醒过的转折点
-        new_alerts = []
-        current_time = datetime.now()
-
-        with self._alert_lock:
-            for pivot in near_pivots:
-                key = (
-                    pivot['symbol'],
-                    pivot['period'],
-                    pivot['timestamp'],
-                    pivot['price']
-                )
-
-                # 检查是否已提醒过
-                if key in self._alerted_pivots:
-                    last_alert = self._alerted_pivots[key]
-                    elapsed = (current_time - last_alert).total_seconds()
-
-                    # 如果在冷却时间内，跳过
-                    if elapsed < self.alert_cooldown:
-                        continue
-
-                # 记录提醒时间
-                self._alerted_pivots[key] = current_time
-
-                # 构建提醒消息
-                is_breakthrough = pivot.get('is_breakthrough', False)
-                alert_type = pivot.get('alert_type', '')
-                period = pivot['period']
-
-                # 根据类型生成不同的消息
-                if is_breakthrough:
-                    if 'high' in alert_type:
-                        message = f"{pivot['symbol']} {period} 已突破高点 {pivot['price']}, 当前价格 {pivot['current_price']}"
-                    else:
-                        message = f"{pivot['symbol']} {period} 已突破低点 {pivot['price']}, 当前价格 {pivot['current_price']}"
-                else:
-                    if 'high' in alert_type:
-                        message = f"{pivot['symbol']} {period} 接近高点 {pivot['price']}, 当前价格 {pivot['current_price']}, 距离 {pivot['distance_pct']}%"
-                    else:
-                        message = f"{pivot['symbol']} {period} 接近低点 {pivot['price']}, 当前价格 {pivot['current_price']}, 距离 {pivot['distance_pct']}%"
-
-                alert = {
-                    "type": "pivot_alert",
-                    "symbol": pivot['symbol'],
-                    "period": period,
-                    "direction": pivot['direction'],
-                    "pivot_price": pivot['price'],
-                    "current_price": pivot['current_price'],
-                    "distance_pct": pivot['distance_pct'],
-                    "threshold_pct": pivot['threshold_pct'],
-                    "timestamp": current_time.isoformat(),
-                    "alert_type": alert_type,
-                    "is_breakthrough": is_breakthrough,
-                    "message": message
-                }
-
-                # M1和M5周期接近转折点时，自动生成交易指令
-                pending_order = None
-                if period in ['M1', 'M5'] and not is_breakthrough:
-                    pending_order = self._auto_generate_order(pivot, current_time)
-
-                # 如果生成了订单，加入通知中
-                if pending_order:
-                    alert["pending_order"] = pending_order
-
-                new_alerts.append(alert)
-
-                # 异步推送WebSocket消息
-                self._broadcast_alert(alert)
-
-        # 清理过期的提醒记录
-        self._cleanup_alerted()
-
-        return new_alerts
-
-    def _auto_generate_order(self, pivot: Dict, current_time: datetime) -> Optional[Dict]:
-        """
-        M1周期接近转折点时，自动生成交易指令
-
-        Args:
-            pivot: 转折点信息
-            current_time: 当前时间
-
-        Returns:
-            生成的订单信息，包含order_id
-        """
-        if not self.pending_orders:
-            return None
-
-        if not self.trade_config.enabled:
-            return None
-
-        symbol = pivot['symbol']
-        current_price = pivot['current_price']
-        pivot_price = pivot['price']
-        direction = pivot['direction']
-        alert_type = pivot['alert_type']
-
-        # 只处理"接近"类型（near_high, near_low）
-        if not alert_type.startswith('near_'):
-            return None
-
-        # 获取品种配置
-        config = self.trade_config.get_symbol_config(symbol)
-        volume = config["volume"]
-        sl_offset = config["sl_offset"]  # 固定点数偏移
-
-        # 获取价差
-        spread = self._get_symbol_spread(symbol)
-
-        order = None
-
-        if alert_type == 'near_low':
-            # 接近低点 → 买入
-            # 止损 = 低点 - 配置的偏移
-            sl = pivot_price - sl_offset
-            if spread:
-                sl -= spread  # 买入止损需要更低
-            # 止盈 = 最近的高点
-            tp = self._find_nearest_pivot_price(symbol, 'high', current_price)
-
-            # 验证并修正止盈
-            tp = self._calculate_take_profit('b', current_price, sl, tp)
-            if tp is not None:
-                order = {
-                    "symbol": symbol,
-                    "action": "b",  # 买入
-                    "price": current_price,
-                    "mount": volume,
-                    "sl": round(sl, 2),
-                    "tp": tp,
-                    "reason": f"M1接近低点{pivot_price:.2f}，建议买入，止损{sl:.2f}，止盈{tp:.2f}",
-                    "description": "Pivot Strategy",
-                    "source": "auto_pivot_m1",
-                    "pivot_price": pivot_price,
-                    "generated_at": current_time.isoformat()
-                }
-
-        elif alert_type == 'near_high':
-            # 接近高点 → 卖出
-            # 止损 = 高点 + 配置的偏移
-            sl = pivot_price + sl_offset
-            if spread:
-                sl += spread  # 卖出止损需要更高
-            # 止盈 = 最近的低点
-            tp = self._find_nearest_pivot_price(symbol, 'low', current_price)
-
-            # 验证并修正止盈
-            tp = self._calculate_take_profit('s', current_price, sl, tp)
-            if tp is not None:
-                order = {
-                    "symbol": symbol,
-                    "action": "s",  # 卖出
-                    "price": current_price,
-                    "mount": volume,
-                    "sl": round(sl, 2),
-                    "tp": tp,
-                    "reason": f"M1接近高点{pivot_price:.2f}，建议卖出，止损{sl:.2f}，止盈{tp:.2f}",
-                    "description": "Pivot Strategy",
-                    "source": "auto_pivot_m1",
-                    "pivot_price": pivot_price,
-                    "generated_at": current_time.isoformat()
-                }
-
-        if order:
-            order_id = self.pending_orders.add_order(order)
-            print(f"[PivotMonitor] 自动生成交易指令: {order_id} - {order['action']} {symbol} @ {current_price}")
-            # 返回订单信息（包含order_id）
-            order["order_id"] = order_id
-            return order
-
-        return None
-
-    def _find_nearest_pivot_price(self, symbol: str, direction: str,
-                                   current_price: float) -> Optional[float]:
-        """
-        找到离当前价格最近的转折点价格
-
-        Args:
-            symbol: 交易品种
-            direction: 'high' 或 'low'
-            current_price: 当前价格
-
-        Returns:
-            最近的转折点价格，如果没有返回None
-        """
-        nearest_price = None
-        min_distance = float('inf')
-
-        with self.detector._lock:
-            for period in self.detector._pivots[symbol]:
-                pivots = self.detector._pivots[symbol][period]
-
-                for pivot in pivots:
-                    if pivot.direction != direction:
-                        continue
-
-                    # 对于高点，只考虑价格高于当前价的
-                    # 对于低点，只考虑价格低于当前价的
-                    if direction == 'high' and pivot.price <= current_price:
-                        continue
-                    if direction == 'low' and pivot.price >= current_price:
-                        continue
-
-                    distance = abs(pivot.price - current_price)
-                    if distance < min_distance:
-                        min_distance = distance
-                        nearest_price = pivot.price
-
-        return nearest_price
-
-    def _broadcast_new_order(self, order_id: str, order: Dict) -> None:
-        """广播新订单通知"""
-        message = json.dumps({
-            "type": "new_order",
-            "order_id": order_id,
-            "order": order
-        })
-
-        with self._ws_lock:
-            clients = list(self._ws_clients)
-
-        for client in clients:
-            try:
-                asyncio.create_task(self._send_to_client(client, message))
-            except Exception as e:
-                print(f"[PivotMonitor] 发送新订单通知失败: {e}")
-
-    def _cleanup_alerted(self):
-        """清理过期的提醒记录"""
-        current_time = datetime.now()
-
-        with self._alert_lock:
-            keys_to_remove = []
-            for key, alert_time in self._alerted_pivots.items():
-                elapsed = (current_time - alert_time).total_seconds()
-                if elapsed > self.alert_cooldown * 2:
-                    keys_to_remove.append(key)
-
-            for key in keys_to_remove:
-                del self._alerted_pivots[key]
-
-    def _broadcast_alert(self, alert: Dict):
-        """广播提醒到所有WebSocket客户端"""
-        message = json.dumps(alert)
-
-        with self._ws_lock:
-            clients = list(self._ws_clients)
-
-        if not clients:
-            return
-
-        # 使用保存的主事件循环
-        if self._main_loop and self._main_loop.is_running():
-            for client in clients:
-                try:
-                    asyncio.run_coroutine_threadsafe(
-                        self._send_to_client(client, message),
-                        self._main_loop
-                    )
-                except Exception as e:
-                    print(f"[PivotMonitor] 发送WebSocket消息失败: {e}")
-        else:
-            # 如果事件循环未就绪，尝试直接创建任务
-            try:
-                for client in clients:
-                    asyncio.create_task(self._send_to_client(client, message))
-            except Exception as e:
-                print(f"[PivotMonitor] 广播消息失败: {e}")
-
-    def _broadcast_key_level_order(self, order: Dict):
-        """广播关键点位订单通知到前端"""
-        action_text = '买入' if order['action'] == 'b' else '卖出'
-        alert = {
-            "type": "key_level_alert",
-            "symbol": order['symbol'],
-            "action": order['action'],
-            "action_text": action_text,
-            "price": order['price'],
-            "sl": order['sl'],
-            "tp": order['tp'],
-            "key_level": order['key_level'],
-            "distance_pct": order['distance_pct'],
-            "reason": order['reason'],
-            "pending_order": order,
-            "message": f"{order['symbol']} 关键点位策略: {action_text} @ {order['price']}, 关键位={order['key_level']}"
-        }
-        self._broadcast_alert(alert)
-
-    async def _send_to_client(self, client, message: str):
-        """发送消息到客户端"""
-        try:
-            await client.send_text(message)
-        except Exception as e:
-            print(f"[PivotMonitor] 发送消息到客户端失败: {e}")
-            # 移除失效的客户端
-            with self._ws_lock:
-                self._ws_clients.discard(client)
-
-    def add_ws_client(self, client):
-        """添加WebSocket客户端"""
-        with self._ws_lock:
-            self._ws_clients.add(client)
-            print(f"[PivotMonitor] WebSocket客户端已连接, 当前连接数: {len(self._ws_clients)}")
-
-    def remove_ws_client(self, client):
-        """移除WebSocket客户端"""
-        with self._ws_lock:
-            self._ws_clients.discard(client)
-            print(f"[PivotMonitor] WebSocket客户端已断开, 当前连接数: {len(self._ws_clients)}")
-
-    def get_ws_client_count(self) -> int:
-        """获取WebSocket客户端数量"""
-        with self._ws_lock:
-            return len(self._ws_clients)
-
-    def clear_symbol(self, symbol: str):
-        """清除某个Symbol的提醒记录"""
-        with self._alert_lock:
-            keys_to_remove = [k for k in self._alerted_pivots if k[0] == symbol]
-            for key in keys_to_remove:
-                del self._alerted_pivots[key]
-
-    def get_status(self) -> Dict:
-        """获取监控状态"""
-        with self._alert_lock:
-            alerted_count = len(self._alerted_pivots)
-
-        return {
-            "ws_clients": self.get_ws_client_count(),
-            "alerted_pivots": alerted_count,
-            "alert_cooldown": self.alert_cooldown
-        }
\ No newline at end of file
diff --git a/market/news_crawler.py b/market/news_crawler.py
index 0aa0bff..7a3b0cc 100644
--- a/market/news_crawler.py
+++ b/market/news_crawler.py
@@ -2,81 +2,37 @@
 # -*- coding: utf-8 -*-
 """
 金十数据爬虫
-获取财经日历、快讯和事件结果
-支持Playwright浏览器登录
+仅负责数据获取，不包含业务逻辑
 """
 
 import asyncio
 import aiohttp
-import re
-import json
-import os
-import hashlib
 from datetime import datetime, timedelta
 from typing import List, Dict, Optional
-from bs4 import BeautifulSoup
+import os
 
-# Playwright 为可选依赖
-try:
-    from playwright.async_api import async_playwright, Browser, Page
-    PLAYWRIGHT_AVAILABLE = True
-except ImportError:
-    PLAYWRIGHT_AVAILABLE = False
-    async_playwright = None
-    Browser = None
-    Page = None
-
-from .news_store import CalendarEvent, FlashNews, get_news_store
-from .event_config import (
-    ECONOMIC_DATA, KEY_SPEAKERS, KEY_EVENTS,
-    get_important_event_names, get_high_impact_event_names,
-    DATA_IMPACT_RULES, WATCH_SYMBOLS
-)
-from .system_log import get_system_log
+from .models import CalendarEvent, FlashNews
+from .event_config import WATCH_SYMBOLS
 
 
 class Jin10Crawler:
-    """金十数据爬虫"""
+    """金十数据爬虫（仅负责数据获取）"""
 
-    # 金十数据API地址
-    CALENDAR_API = "https://rmdex.jin10.com/data.json"
+    # API地址
     FLASH_NEWS_API = "https://flash-api.jin10.com/get_flash_list"
 
-    # 备用地址
-    CALENDAR_PAGE = "https://www.jin10.com/rili/calendar.html"
-    FLASH_PAGE = "https://www.jin10.com/flash"
-
     # 请求头
     HEADERS = {
-        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
+        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36',
         'Accept': 'application/json, text/plain, */*',
         'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
         'Referer': 'https://www.jin10.com/',
         'Origin': 'https://www.jin10.com',
     }
 
-    def __init__(self, username: str = None, password: str = None):
-        self.store = get_news_store()
-        self.system_log = get_system_log()
+    def __init__(self):
         self._session = None
-
-        # 重要事件名称（用于过滤）
-        self._important_names = get_important_event_names()
-        self._high_impact_names = get_high_impact_event_names()
-
-        # Playwright相关
-        self._playwright = None
-        self._browser: Optional[Browser] = None
-        self._context = None
-        self._page: Optional[Page] = None
-        self._logged_in = False
-
-        # 登录凭据
-        self._username = username or os.environ.get('JIN10_USERNAME', '18689211297')
-        self._password = password or os.environ.get('JIN10_PASSWORD', 'Wangxx1234')
-
         print("[Jin10Crawler] 金十数据爬虫已初始化")
-        self.system_log.add_log("news_crawler_start", message="金十数据爬虫已初始化")
 
     async def _get_session(self) -> aiohttp.ClientSession:
         """获取HTTP会话"""
@@ -88,1227 +44,21 @@ class Jin10Crawler:
             )
         return self._session
 
-    # ==================== Playwright登录 ====================
-
-    async def _init_browser(self):
-        """初始化Playwright浏览器"""
-        if not PLAYWRIGHT_AVAILABLE:
-            print("[Jin10Crawler] Playwright未安装，跳过浏览器初始化")
-            return
-
-        if self._browser is not None:
-            return
-
-        try:
-            self._playwright = await async_playwright().start()
-            self._browser = await self._playwright.chromium.launch(
-                headless=True,
-                args=['--no-sandbox', '--disable-setuid-sandbox']
-            )
-            self._context = await self._browser.new_context(
-                user_agent='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
-            )
-            self._page = await self._context.new_page()
-            print("[Jin10Crawler] Playwright浏览器已初始化")
-        except Exception as e:
-            print(f"[Jin10Crawler] 初始化浏览器失败: {e}")
-            self.system_log.add_log("news_calendar_fetch_error", detail={
-                "error": str(e),
-                "step": "init_browser"
-            }, message=f"初始化浏览器失败: {e}")
-
-    async def _handle_verify_dialog(self) -> bool:
-        """
-        处理登录后可能出现的验证对话框
-
-        Returns:
-            是否成功处理（True表示可以继续，False表示需要人工介入）
-        """
-        try:
-            await asyncio.sleep(1)
-
-            # 检查是否有遮罩层
-            mask = await self._page.query_selector('.user-modal-mask.active')
-            if mask:
-                print("[Jin10Crawler] 检测到遮罩层")
-
-                # 检查遮罩层内是否有验证相关内容
-                mask_content = await mask.inner_text()
-
-                # 1. 滑块验证
-                if '滑块' in mask_content or '滑动' in mask_content or 'verify' in mask_content.lower():
-                    print("[Jin10Crawler] 检测到滑块验证，需要人工处理")
-                    self.system_log.add_log("news_calendar_fetch_error", detail={
-                        "type": "slider_captcha"
-                    }, message="检测到滑块验证，需要人工处理")
-                    return False
-
-                # 2. 短信验证码
-                if '验证码' in mask_content or '短信' in mask_content:
-                    print("[Jin10Crawler] 检测到短信验证码，需要人工处理")
-                    self.system_log.add_log("news_calendar_fetch_error", detail={
-                        "type": "sms_captcha"
-                    }, message="检测到短信验证码，需要人工处理")
-                    return False
-
-                # 3. 风险提示弹窗 - 尝试关闭
-                close_btns = await self._page.query_selector_all('.modal-close, .close-btn, .icon-close, [class*="close"]')
-                for btn in close_btns:
-                    try:
-                        if await btn.is_visible():
-                            await btn.click()
-                            await asyncio.sleep(1)
-                            print("[Jin10Crawler] 已尝试关闭风险提示弹窗")
-                            return True
-                    except:
-                        continue
-
-                # 4. 尝试按ESC关闭
-                await self._page.keyboard.press('Escape')
-                await asyncio.sleep(1)
-
-                # 5. 尝试点击遮罩层外部关闭
-                try:
-                    await self._page.mouse.click(10, 10)
-                    await asyncio.sleep(1)
-                except:
-                    pass
-
-            return True
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 处理验证对话框异常: {e}")
-            return True
-
-    async def _check_login_success(self) -> bool:
-        """
-        检查登录是否成功
-
-        Returns:
-            是否登录成功
-        """
-        try:
-            # 方法1: 检查登录弹窗是否消失
-            modal_visible = await self._page.is_visible('.user-modal, .login-modal, .user-modal-mask.active')
-            if not modal_visible:
-                print("[Jin10Crawler] 登录弹窗已消失")
-                return True
-
-            # 方法2: 检查是否有用户信息显示
-            user_selectors = [
-                '.user-avatar', '.user-info', '.username', '.user-name',
-                '.header-user', '.user-dropdown', '[class*="user-avatar"]'
-            ]
-            for selector in user_selectors:
-                try:
-                    user_el = await self._page.query_selector(selector)
-                    if user_el:
-                        visible = await user_el.is_visible()
-                        if visible:
-                            print(f"[Jin10Crawler] 找到用户元素: {selector}")
-                            return True
-                except:
-                    continue
-
-            # 方法3: 检查URL是否不再包含login
-            current_url = self._page.url
-            if 'login' not in current_url.lower():
-                print(f"[Jin10Crawler] URL已跳转: {current_url}")
-                return True
-
-            # 方法4: 检查是否有登录状态的cookie或localStorage
-            try:
-                logged_in = await self._page.evaluate('''
-                    () => {
-                        // 检查localStorage
-                        const token = localStorage.getItem('token') || localStorage.getItem('access_token');
-                        if (token) return true;
-
-                        // 检查cookie
-                        const cookies = document.cookie;
-                        if (cookies.includes('token=') || cookies.includes('auth=')) return true;
-
-                        return false;
-                    }
-                ''')
-                if logged_in:
-                    print("[Jin10Crawler] 检测到登录token")
-                    return True
-            except:
-                pass
-
-            return False
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 检查登录状态异常: {e}")
-            return False
-
-    async def login(self) -> bool:
-        """
-        使用Playwright登录金十数据
-
-        Returns:
-            是否登录成功
-        """
-        try:
-            await self._init_browser()
-
-            if self._logged_in:
-                return True
-
-            self.system_log.add_log("news_crawler_start", detail={
-                "username": self._username[:3] + "****"
-            }, message="开始登录金十数据...")
-
-            print(f"[Jin10Crawler] 开始登录金十数据，用户: {self._username[:3]}****")
-
-            # 访问首页，然后点击登录
-            await self._page.goto('https://www.jin10.com/', wait_until='networkidle', timeout=60000)
-            await asyncio.sleep(2)
-
-            # 点击登录按钮打开登录弹窗
-            try:
-                # 尝试多种登录按钮选择器
-                login_btn_selectors = [
-                    '.login-wall__btn',  # 登录墙上的按钮
-                    '.header-login-btn',
-                    '.user-login',
-                    'button:has-text("登录")',
-                    'button:has-text("立即登录")',
-                    'a:has-text("登录")'
-                ]
-
-                login_clicked = False
-                for selector in login_btn_selectors:
-                    try:
-                        btn = await self._page.wait_for_selector(selector, timeout=3000, state='visible')
-                        if btn:
-                            await btn.click()
-                            login_clicked = True
-                            print(f"[Jin10Crawler] 已点击登录按钮: {selector}")
-                            break
-                    except:
-                        continue
-
-                if not login_clicked:
-                    # 尝试查找包含登录文本的元素
-                    elements = await self._page.query_selector_all('button, a, span')
-                    for el in elements:
-                        try:
-                            text = await el.text_content()
-                            if text and ('登录' in text or '登錄' in text):
-                                await el.click()
-                                login_clicked = True
-                                print(f"[Jin10Crawler] 已点击登录元素: {text.strip()}")
-                                break
-                        except:
-                            continue
-
-                # 等待登录弹窗出现
-                await asyncio.sleep(2)
-
-            except Exception as e:
-                print(f"[Jin10Crawler] 点击登录按钮失败: {e}")
-
-            # 截图调试
-            try:
-                await self._page.screenshot(path='/tmp/jin10_after_click.png')
-                print("[Jin10Crawler] 已保存点击后截图")
-            except:
-                pass
-
-            # 尝试查找并填写登录表单
-            try:
-                # 方法1: 查找手机号/用户名输入框
-                username_filled = False
-                username_selectors = [
-                    'input[placeholder*="手机"]',
-                    'input[placeholder*="账号"]',
-                    'input[placeholder*="用户名"]',
-                    'input[type="tel"]',
-                    'input[name="phone"]',
-                    'input[name="username"]',
-                    '#phone',
-                    '#username',
-                    '.login-phone input',
-                    '.login-form input:first-child',
-                    '.user-modal input[type="tel"]',
-                    '.user-modal input:first-of-type'
-                ]
-
-                for selector in username_selectors:
-                    try:
-                        el = await self._page.wait_for_selector(selector, timeout=3000, state='visible')
-                        if el:
-                            await el.click()
-                            await asyncio.sleep(0.3)
-                            # 先清空再填写
-                            await el.fill('')
-                            await el.type(self._username, delay=50)
-                            username_filled = True
-                            print(f"[Jin10Crawler] 已通过选择器 {selector} 输入用户名")
-                            break
-                    except:
-                        continue
-
-                if not username_filled:
-                    # 尝试查找所有可见的输入框
-                    inputs = await self._page.query_selector_all('input:visible')
-                    if inputs:
-                        for inp in inputs:
-                            try:
-                                input_type = await inp.get_attribute('type')
-                                name_attr = await inp.get_attribute('name') or ''
-                                placeholder = await inp.get_attribute('placeholder') or ''
-                                # 跳过checkbox, file, hidden等类型
-                                if input_type in ['checkbox', 'file', 'hidden', 'submit']:
-                                    continue
-                                # 优先选择看起来像手机号输入框的
-                                if '手机' in placeholder or 'phone' in name_attr.lower() or input_type == 'tel':
-                                    await inp.click()
-                                    await asyncio.sleep(0.2)
-                                    await inp.fill('')
-                                    await inp.type(self._username, delay=50)
-                                    username_filled = True
-                                    print(f"[Jin10Crawler] 已通过遍历输入框填写用户名 (placeholder: {placeholder})")
-                                    break
-                            except:
-                                continue
-
-                        # 如果还没找到，就用第一个可输入的
-                        if not username_filled and inputs:
-                            for inp in inputs:
-                                try:
-                                    input_type = await inp.get_attribute('type')
-                                    if input_type not in ['checkbox', 'file', 'hidden', 'submit', 'password']:
-                                        await inp.click()
-                                        await asyncio.sleep(0.2)
-                                        await inp.fill('')
-                                        await inp.type(self._username, delay=50)
-                                        username_filled = True
-                                        print("[Jin10Crawler] 已通过遍历输入框填写用户名（默认）")
-                                        break
-                                except:
-                                    continue
-
-                if not username_filled:
-                    print("[Jin10Crawler] 未找到用户名输入框")
-                    # 检查页面是否有验证码登录
-                    page_content = await self._page.content()
-                    if '验证码' in page_content or 'code' in page_content:
-                        print("[Jin10Crawler] 页面可能需要验证码登录，暂不支持")
-                        self.system_log.add_log("news_calendar_fetch_error", detail={
-                            "error": "验证码登录不支持",
-                            "step": "login_captcha"
-                        }, message="金十数据可能需要验证码登录")
-                    return False
-
-                # 填写密码
-                await asyncio.sleep(0.5)
-                password_filled = False
-                password_selectors = [
-                    'input[placeholder*="密码"]',
-                    'input[type="password"]',
-                    'input[name="password"]',
-                    '#password',
-                    '.login-password input',
-                    '.login-form input[type="password"]',
-                    '.user-modal input[type="password"]'
-                ]
-
-                for selector in password_selectors:
-                    try:
-                        el = await self._page.wait_for_selector(selector, timeout=3000, state='visible')
-                        if el:
-                            await el.click()
-                            await asyncio.sleep(0.3)
-                            await el.fill('')
-                            await el.type(self._password, delay=50)
-                            password_filled = True
-                            print(f"[Jin10Crawler] 已通过选择器 {selector} 输入密码")
-                            break
-                    except:
-                        continue
-
-                if not password_filled:
-                    # 查找密码输入框
-                    inputs = await self._page.query_selector_all('input[type="password"]:visible')
-                    if inputs:
-                        await inputs[0].click()
-                        await asyncio.sleep(0.2)
-                        await inputs[0].fill('')
-                        await inputs[0].type(self._password, delay=50)
-                        password_filled = True
-                        print("[Jin10Crawler] 已通过遍历密码框填写密码")
-
-                if not password_filled:
-                    print("[Jin10Crawler] 未找到密码输入框，可能需要验证码登录")
-                    return False
-
-                # 点击登录按钮
-                await asyncio.sleep(0.5)
-                login_clicked = False
-                login_selectors = [
-                    'button:has-text("登录")',
-                    'button:has-text("登錄")',
-                    '.login-btn',
-                    '.btn-login',
-                    'button[type="submit"]',
-                    '.login-form button',
-                    '.user-modal button[type="submit"]',
-                    '.user-modal button:has-text("登")'
-                ]
-
-                for selector in login_selectors:
-                    try:
-                        el = await self._page.wait_for_selector(selector, timeout=2000, state='visible')
-                        if el:
-                            await el.click()
-                            login_clicked = True
-                            print(f"[Jin10Crawler] 已通过选择器 {selector} 点击登录按钮")
-                            break
-                    except:
-                        continue
-
-                if not login_clicked:
-                    # 查找包含"登录"文本的按钮
-                    buttons = await self._page.query_selector_all('button:visible')
-                    for btn in buttons:
-                        try:
-                            text = await btn.text_content()
-                            if text and ('登录' in text or '登錄' in text):
-                                await btn.click()
-                                login_clicked = True
-                                print("[Jin10Crawler] 已通过文本查找点击登录按钮")
-                                break
-                        except:
-                            continue
-
-                if not login_clicked:
-                    print("[Jin10Crawler] 未找到登录按钮")
-                    return False
-
-                # 等待登录处理
-                await asyncio.sleep(3)
-
-                # 处理可能出现的验证对话框
-                verify_ok = await self._handle_verify_dialog()
-                if not verify_ok:
-                    print("[Jin10Crawler] 需要人工处理验证")
-                    # 不直接返回False，继续检查登录状态
-
-                # 再等待一下让登录完成
-                await asyncio.sleep(3)
-
-                # 使用新方法检查登录状态
-                if await self._check_login_success():
-                    self._logged_in = True
-                    print("[Jin10Crawler] 登录成功")
-                    self.system_log.add_log("news_calendar_update", detail={
-                        "step": "login_success"
-                    }, message="金十数据登录成功")
-                    return True
-                    return True
-
-                print("[Jin10Crawler] 登录状态未知，可能需要人工处理验证")
-                return False
-
-            except Exception as e:
-                print(f"[Jin10Crawler] 登录表单操作失败: {e}")
-                self.system_log.add_log("news_calendar_fetch_error", detail={
-                    "error": str(e),
-                    "step": "login_form"
-                }, message=f"登录表单操作失败: {e}")
-                return False
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 登录异常: {e}")
-            self.system_log.add_log("news_calendar_fetch_error", detail={
-                "error": str(e),
-                "step": "login_exception"
-            }, message=f"登录异常: {e}")
-            return False
-
-    async def fetch_calendar_with_browser(self, days: int = 7) -> Dict[str, List[CalendarEvent]]:
-        """
-        使用浏览器获取财经日历（登录后）
-
-        Args:
-            days: 获取未来多少天
-
-        Returns:
-            {date_str: [CalendarEvent]}
-        """
-        try:
-            if not self._logged_in:
-                success = await self.login()
-                if not success:
-                    print("[Jin10Crawler] 登录失败，无法获取财经日历")
-                    return {}
-
-            result = {}
-            today = datetime.now()
-
-            for i in range(days):
-                date = today + timedelta(days=i)
-                date_str = date.strftime("%Y%m%d")
-                date_key = date.strftime("%Y-%m-%d")
-
-                try:
-                    url = f"https://www.jin10.com/rili/calendar_{date_str}.html"
-                    await self._page.goto(url, wait_until='networkidle', timeout=30000)
-                    await asyncio.sleep(1)
-
-                    # 解析页面内容
-                    events = await self._parse_calendar_from_page(date_key)
-                    if events:
-                        result[date_key] = events
-                        print(f"[Jin10Crawler] 浏览器获取 {date_key} 成功: {len(events)} 条事件")
-
-                except Exception as e:
-                    print(f"[Jin10Crawler] 获取 {date_key} 失败: {e}")
-                    continue
-
-            if result:
-                self.system_log.add_log("news_calendar_update", detail={
-                    "source": "browser",
-                    "dates": len(result),
-                    "events": sum(len(v) for v in result.values())
-                }, message=f"浏览器获取财经日历成功: {len(result)}天")
-
-            return result
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 浏览器获取日历失败: {e}")
-            self.system_log.add_log("news_calendar_fetch_error", detail={
-                "error": str(e),
-                "step": "browser_fetch"
-            }, message=f"浏览器获取日历失败: {e}")
-            return {}
-
-    async def _parse_calendar_from_page(self, date_key: str) -> List[CalendarEvent]:
-        """从页面解析财经日历"""
-        events = []
-
-        try:
-            # 等待日历数据加载
-            await asyncio.sleep(3)
-
-            # 获取页面内容
-            content = await self._page.content()
-
-            # 保存HTML用于调试
-            with open('/tmp/jin10_calendar_page.html', 'w') as f:
-                f.write(content)
-            print("[Jin10Crawler] 已保存日历页面HTML到 /tmp/jin10_calendar_page.html")
-
-            # 尝试从页面JSON数据中提取
-            # 金十数据通常会在页面中嵌入JSON数据
-            json_patterns = [
-                r'window\.__INITIAL_STATE__\s*=\s*(\{.*?\});',
-                r'__NEXT_DATA__\s*=\s*(\{.*?\})</script>',
-            ]
-
-            for json_pattern in json_patterns:
-                match = re.search(json_pattern, content, re.DOTALL)
-                if match:
-                    try:
-                        data = json.loads(match.group(1))
-                        print(f"[Jin10Crawler] 找到JSON数据，keys: {list(data.keys())[:10]}")
-
-                        # 解析数据 - 尝试不同的数据结构
-                        calendar_data = data.get('calendar', data.get('rili', data.get('calendarData', {})))
-
-                        if isinstance(calendar_data, dict):
-                            event_list = calendar_data.get('events', calendar_data.get('data', calendar_data.get('list', [])))
-                        else:
-                            event_list = calendar_data if isinstance(calendar_data, list) else []
-
-                        if not event_list:
-                            # 尝试其他路径
-                            event_list = data.get('events', data.get('data', []))
-
-                        print(f"[Jin10Crawler] 找到 {len(event_list) if isinstance(event_list, list) else 0} 个事件")
-
-                        for item in event_list if isinstance(event_list, list) else []:
-                            try:
-                                event = self._parse_calendar_item(date_key.replace('-', ''), item)
-                                if event and event.importance >= 2:
-                                    events.append(event)
-                            except Exception as e:
-                                continue
-
-                        if events:
-                            return events
-
-                    except Exception as e:
-                        print(f"[Jin10Crawler] 解析页面JSON失败: {e}")
-
-            # 如果JSON解析失败，尝试解析HTML
-            soup = BeautifulSoup(content, 'html.parser')
-
-            # 查找事件行 - 尝试多种选择器
-            row_selectors = [
-                '.calendar-item', '.rili-item', 'tr[data-time]',
-                '.jin-calendar__tr', '.event-row', '.calendar-row',
-                '[class*="calendar"] tr', '[class*="rili"] tr'
-            ]
-
-            for selector in row_selectors:
-                rows = soup.select(selector)
-                if rows:
-                    print(f"[Jin10Crawler] 使用选择器 {selector} 找到 {len(rows)} 行")
-                    for row in rows:
-                        try:
-                            event = self._parse_calendar_row(row, date_key)
-                            if event:
-                                events.append(event)
-                        except:
-                            continue
-                    if events:
-                        break
-
-            # 如果还是没有数据，尝试从表格解析
-            if not events:
-                tables = soup.find_all('table')
-                for table in tables:
-                    rows = table.find_all('tr')
-                    for row in rows:
-                        cells = row.find_all(['td', 'th'])
-                        if len(cells) >= 3:
-                            # 尝试从单元格提取信息
-                            try:
-                                # 查找包含时间的单元格
-                                time_cell = None
-                                name_cell = None
-                                importance_cell = None
-
-                                for i, cell in enumerate(cells):
-                                    text = cell.get_text(strip=True)
-                                    if re.match(r'\d{1,2}:\d{2}', text):
-                                        time_cell = cell
-                                    elif any(imp in text.lower() for imp in ['非农', 'cpi', '利率', 'gdp', 'pmi', 'adp', 'eia']):
-                                        name_cell = cell
-
-                                if name_cell:
-                                    name = name_cell.get_text(strip=True)
-                                    # 检查重要性
-                                    row_classes = row.get('class', [])
-                                    importance = 2  # 默认中等
-                                    if any('high' in c.lower() or 'star-3' in c.lower() for c in row_classes):
-                                        importance = 3
-
-                                    time_str = time_cell.get_text(strip=True) if time_cell else ''
-
-                                    event = CalendarEvent(
-                                        id=f"{date_key}_{name}_{time_str}",
-                                        name=name,
-                                        name_en='',
-                                        country='',
-                                        importance=importance,
-                                        publish_time=self._parse_datetime(date_key.replace('-', ''), time_str),
-                                        forecast='',
-                                        previous='',
-                                        actual='',
-                                        unit='',
-                                        symbols=self._get_event_symbols(name)
-                                    )
-                                    events.append(event)
-                            except:
-                                continue
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析页面失败: {e}")
-            import traceback
-            traceback.print_exc()
-
-        return events
-
-    def _parse_calendar_row(self, row, date_key: str) -> Optional[CalendarEvent]:
-        """解析HTML行"""
-        try:
-            # 获取时间
-            time_el = row.select_one('.time, .calendar-time')
-            time_str = time_el.get_text(strip=True) if time_el else ''
-
-            # 获取事件名称
-            name_el = row.select_one('.event, .calendar-event, .name')
-            name = name_el.get_text(strip=True) if name_el else ''
-
-            if not name:
-                return None
-
-            # 检查重要性
-            importance_el = row.select_one('.star, .importance')
-            importance = 2
-            if importance_el:
-                star_class = importance_el.get('class', [])
-                if 'star-3' in star_class or 'high' in star_class:
-                    importance = 3
-                elif 'star-2' in star_class or 'medium' in star_class:
-                    importance = 2
-                else:
-                    importance = 1
-
-            # 过滤重要事件
-            is_important = any(
-                imp_name.lower() in name.lower()
-                for imp_name in self._high_impact_names
-            )
-            if not is_important:
-                return None
-
-            # 获取数值
-            forecast_el = row.select_one('.forecast, .consensus')
-            previous_el = row.select_one('.previous, .prev')
-            actual_el = row.select_one('.actual')
-
-            forecast = forecast_el.get_text(strip=True) if forecast_el else ''
-            previous = previous_el.get_text(strip=True) if previous_el else ''
-            actual = actual_el.get_text(strip=True) if actual_el else ''
-
-            # 解析时间
-            publish_time = self._parse_datetime(date_key.replace('-', ''), time_str)
-
-            return CalendarEvent(
-                id=f"{date_key}_{name}_{time_str}",
-                name=name,
-                name_en='',
-                country='',
-                importance=importance,
-                publish_time=publish_time,
-                forecast=forecast,
-                previous=previous,
-                actual=actual,
-                unit='',
-                symbols=self._get_event_symbols(name)
-            )
-
-        except Exception as e:
-            return None
-
     async def close(self):
-        """关闭会话和浏览器"""
+        """关闭会话"""
         if self._session and not self._session.closed:
             await self._session.close()
+            self._session = None
+            print("[Jin10Crawler] 会话已关闭")
 
-        if self._browser:
-            await self._browser.close()
-            self._browser = None
-            self._page = None
-            self._context = None
-
-        if self._playwright:
-            await self._playwright.stop()
-            self._playwright = None
-
-        self._logged_in = False
-        print("[Jin10Crawler] 已关闭所有连接")
-
-    # ==================== 财经日历 ====================
-
-    async def fetch_calendar(self, days: int = 7) -> Dict[str, List[CalendarEvent]]:
-        """
-        获取财经日历
-
-        Args:
-            days: 获取未来多少天
-
-        Returns:
-            {date_str: [CalendarEvent]}
-        """
-        try:
-            self.system_log.add_log("news_calendar_fetch", detail={"days": days}, message="开始获取财经日历...")
-
-            # 尝试金十数据API
-            session = await self._get_session()
-            result = await self._fetch_jin10_calendar(session, days)
-            if result:
-                self.system_log.add_log("news_calendar_update", detail={
-                    "source": "金十数据API",
-                    "dates": len(result),
-                    "events": sum(len(v) for v in result.values())
-                }, message=f"金十数据API获取成功: {len(result)}天")
-                return result
-
-            # 尝试使用浏览器登录获取
-            try:
-                result = await self.fetch_calendar_with_browser(days)
-                if result:
-                    self.system_log.add_log("news_calendar_update", detail={
-                        "source": "金十数据浏览器",
-                        "dates": len(result),
-                        "events": sum(len(v) for v in result.values())
-                    }, message=f"浏览器获取成功: {len(result)}天")
-                    return result
-            except Exception as e:
-                print(f"[Jin10Crawler] 浏览器获取失败: {e}")
-
-            # 如果所有真实数据源都失败，返回模拟数据用于测试
-            self.system_log.add_log("news_calendar_fetch_error", detail={
-                "reason": "所有数据源失败，使用模拟数据"
-            }, message="所有数据源失败，使用模拟数据")
-            return self._get_mock_calendar(days)
-
-        except Exception as e:
-            self.system_log.add_log("news_calendar_fetch_error", detail={
-                "error": str(e)
-            }, message=f"获取财经日历失败: {e}")
-            print(f"[Jin10Crawler] 获取财经日历失败: {e}")
-            import traceback
-            traceback.print_exc()
-            return self._get_mock_calendar(days)
-
-    async def _fetch_jin10_calendar(self, session: aiohttp.ClientSession, days: int) -> Optional[Dict]:
-        """通过金十数据API获取财经日历"""
-        today = datetime.now()
-        date_list = []
-        for i in range(days):
-            date = today + timedelta(days=i)
-            date_list.append(date.strftime("%Y%m%d"))
-
-        result = {}
-
-        for date_str in date_list:
-            try:
-                url = f"https://rili.jin10.com/datas/{date_str}.json"
-                async with session.get(url) as response:
-                    if response.status == 200:
-                        data = await response.json()
-                        events = self._parse_calendar_data(date_str, data)
-                        if events:
-                            date_key = f"{date_str[:4]}-{date_str[4:6]}-{date_str[6:8]}"
-                            result[date_key] = events
-            except Exception as e:
-                continue
-
-        if result:
-            print(f"[Jin10Crawler] 金十数据获取成功: {len(result)} 天")
-            return result
-
-        return None
-
-    def _get_mock_calendar(self, days: int) -> Dict[str, List[CalendarEvent]]:
-        """生成模拟数据用于测试"""
-        from .event_config import ECONOMIC_DATA
-
-        result = {}
-        today = datetime.now()
-
-        # 模拟一些重要事件
-        mock_events = [
-            {"name": "非农就业人数", "importance": 3, "hour": 20, "minute": 30, "country": "US"},
-            {"name": "失业率", "importance": 3, "hour": 20, "minute": 30, "country": "US"},
-            {"name": "CPI年率", "importance": 3, "hour": 20, "minute": 30, "country": "US"},
-            {"name": "美联储利率决议", "importance": 3, "hour": 14, "minute": 0, "country": "US"},
-            {"name": "EIA原油库存", "importance": 2, "hour": 22, "minute": 30, "country": "US"},
-            {"name": "初请失业金人数", "importance": 2, "hour": 20, "minute": 30, "country": "US"},
-            {"name": "日本央行利率决议", "importance": 3, "hour": 11, "minute": 0, "country": "JP"},
-            {"name": "ADP就业人数", "importance": 2, "hour": 20, "minute": 15, "country": "US"},
-            {"name": "零售销售月率", "importance": 2, "hour": 20, "minute": 30, "country": "US"},
-        ]
-
-        # 分配到未来几天
-        for i in range(min(days, 3)):
-            date = today + timedelta(days=i)
-            date_key = date.strftime("%Y-%m-%d")
-
-            events = []
-            # 每天分配2-3个事件
-            day_events = mock_events[i*3:(i+1)*3] if i < 3 else mock_events[:2]
-
-            for idx, mock in enumerate(day_events):
-                event_date = date.replace(hour=mock["hour"], minute=mock["minute"])
-
-                event = CalendarEvent(
-                    id=f"mock_{date_key}_{idx}",
-                    name=mock["name"],
-                    name_en=mock["name"],
-                    country=mock["country"],
-                    importance=mock["importance"],
-                    publish_time=event_date,
-                    forecast="待定",
-                    previous="--",
-                    actual="",
-                    unit="",
-                    symbols=self._get_event_symbols(mock["name"])
-                )
-                events.append(event)
-
-            if events:
-                result[date_key] = events
-
-        print(f"[Jin10Crawler] 生成模拟数据: {len(result)} 天")
-        return result
-
-    async def _fetch_calendar_api(self, session: aiohttp.ClientSession, days: int) -> Optional[Dict]:
-        """通过API获取财经日历"""
-        try:
-            # 尝试金十数据
-            today = datetime.now()
-            date_list = []
-            for i in range(days):
-                date = today + timedelta(days=i)
-                date_list.append(date.strftime("%Y%m%d"))
-
-            result = {}
-
-            for date_str in date_list:
-                try:
-                    # 金十数据日历API
-                    url = f"https://rili.jin10.com/datas/{date_str}.json"
-                    async with session.get(url) as response:
-                        if response.status == 200:
-                            data = await response.json()
-                            events = self._parse_calendar_data(date_str, data)
-                            if events:
-                                # 转换日期格式
-                                date_key = f"{date_str[:4]}-{date_str[4:6]}-{date_str[6:8]}"
-                                result[date_key] = events
-                except Exception as e:
-                    print(f"[Jin10Crawler] 获取 {date_str} 日历失败: {e}")
-                    continue
-
-            if result:
-                print(f"[Jin10Crawler] API获取财经日历成功: {len(result)} 天")
-                return result
-
-        except Exception as e:
-            print(f"[Jin10Crawler] API获取失败: {e}")
-
-        return None
-
-    def _parse_calendar_data(self, date_str: str, data: Dict) -> List[CalendarEvent]:
-        """解析财经日历数据"""
-        events = []
-
-        try:
-            # 金十数据格式: {date: {events: [...]}}
-            if isinstance(data, dict):
-                date_data = data.get(date_str, data)
-                event_list = date_data.get('events', date_data.get('data', []))
-            else:
-                event_list = data if isinstance(data, list) else []
-
-            for item in event_list:
-                try:
-                    event = self._parse_calendar_item(date_str, item)
-                    if event and event.importance > 0:  # 只保留有影响的
-                        events.append(event)
-                except Exception as e:
-                    continue
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析日历数据失败: {e}")
-
-        return events
-
-    def _parse_calendar_item(self, date_str: str, item: Dict) -> Optional[CalendarEvent]:
-        """解析单个日历事件"""
-        # 获取事件名称
-        name = item.get('name', item.get('event', ''))
-        if not name:
-            return None
-
-        # 过滤不重要的事件
-        is_important = False
-        for important_name in self._important_names:
-            if important_name.lower() in name.lower():
-                is_important = True
-                break
-
-        if not is_important:
-            return None
-
-        # 获取重要性星级
-        star = item.get('star', item.get('importance', 0))
-        if isinstance(star, str):
-            star = len(star)  # 星星数量
-        importance = min(3, max(0, int(star)))
-
-        # 解析时间
-        time_str = item.get('time', item.get('datetime', ''))
-        publish_time = self._parse_datetime(date_str, time_str)
-
-        # 获取国家
-        country = item.get('country', item.get('region', ''))
-
-        # 获取数值
-        forecast = item.get('forecast', item.get('consensus', ''))
-        previous = item.get('previous', item.get('prev', ''))
-        actual = item.get('actual', '')
-        unit = item.get('unit', '')
-
-        # 生成ID
-        event_id = item.get('id', f"{date_str}_{name}_{time_str}")
-
-        # 查找对应的事件配置
-        symbols = self._get_event_symbols(name)
-
-        return CalendarEvent(
-            id=str(event_id),
-            name=name,
-            name_en=item.get('name_en', ''),
-            country=country,
-            importance=importance,
-            publish_time=publish_time,
-            forecast=str(forecast),
-            previous=str(previous),
-            actual=str(actual),
-            unit=unit,
-            symbols=symbols
-        )
-
-    def _parse_datetime(self, date_str: str, time_str: str) -> datetime:
-        """解析日期时间"""
-        try:
-            # date_str: "20260315" 或 "2026-03-15"
-            if len(date_str) == 8:
-                year = int(date_str[:4])
-                month = int(date_str[4:6])
-                day = int(date_str[6:8])
-            else:
-                parts = date_str.split('-')
-                year, month, day = int(parts[0]), int(parts[1]), int(parts[2])
-
-            # time_str: "20:30" 或 "2030"
-            hour, minute = 0, 0
-            if time_str:
-                time_str = time_str.strip()
-                if ':' in time_str:
-                    parts = time_str.split(':')
-                    hour = int(parts[0])
-                    minute = int(parts[1]) if len(parts) > 1 else 0
-                elif len(time_str) >= 3:
-                    hour = int(time_str[:-2])
-                    minute = int(time_str[-2:])
-
-            return datetime(year, month, day, hour, minute)
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析时间失败: {date_str} {time_str}")
-            return datetime.now()
-
-    def _get_event_symbols(self, name: str) -> List[str]:
-        """获取事件影响的品种"""
-        for event in ECONOMIC_DATA:
-            if event['name'] in name or event['name_en'].lower() in name.lower():
-                return event['symbols']
-
-        # 根据国家推断
-        if '美国' in name or 'US' in name.upper():
-            return ["GOLD", "SPX", "USDJPY"]
-        elif '日本' in name or 'JP' in name.upper():
-            return ["USDJPY"]
-
-        return WATCH_SYMBOLS
-
-    async def _fetch_calendar_page(self, session: aiohttp.ClientSession, days: int) -> Dict:
-        """通过页面爬取财经日历"""
-        # 备用方案：爬取HTML页面
-        result = {}
-        today = datetime.now()
-
-        for i in range(days):
-            date = today + timedelta(days=i)
-            date_str = date.strftime("%Y-%m-%d")
-
-            try:
-                url = f"https://www.jin10.com/rili/calendar_{date.strftime('%Y%m%d')}.html"
-                async with session.get(url) as response:
-                    if response.status == 200:
-                        html = await response.text()
-                        events = self._parse_calendar_html(html, date_str)
-                        if events:
-                            result[date_str] = events
-            except Exception as e:
-                print(f"[Jin10Crawler] 爬取页面 {date_str} 失败: {e}")
-                continue
-
-        return result
-
-    def _parse_calendar_html(self, html: str, date_str: str) -> List[CalendarEvent]:
-        """解析日历HTML"""
-        events = []
-
-        try:
-            soup = BeautifulSoup(html, 'html.parser')
-            # 这里需要根据实际HTML结构解析
-            # 金十数据的HTML结构可能会变化，需要定期维护
-
-            event_rows = soup.select('.jin-calendar__tr')
-            for row in event_rows:
-                try:
-                    time_td = row.select_one('.jin-calendar__time')
-                    event_td = row.select_one('.jin-calendar__event')
-                    if not time_td or not event_td:
-                        continue
-
-                    name = event_td.get_text(strip=True)
-                    time_str = time_td.get_text(strip=True)
-
-                    # 过滤重要事件
-                    is_important = any(
-                        imp_name.lower() in name.lower()
-                        for imp_name in self._important_names
-                    )
-                    if not is_important:
-                        continue
-
-                    event = CalendarEvent(
-                        id=f"{date_str}_{name}_{time_str}",
-                        name=name,
-                        publish_time=self._parse_datetime(date_str, time_str),
-                        importance=2,  # 默认中等重要性
-                        symbols=self._get_event_symbols(name)
-                    )
-                    events.append(event)
-
-                except Exception:
-                    continue
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析HTML失败: {e}")
-
-        return events
-
-    # ==================== 快讯 ====================
+    # ==================== 快讯获取 ====================
 
     async def fetch_flash_news(self, max_id: int = 0, count: int = 30) -> List[FlashNews]:
         """
-        获取快讯列表（无需登录，直接访问页面）
-
-        Args:
-            max_id: 获取此ID之前的快讯（用于分页）- 保留参数但不使用
-            count: 获取数量
-
-        Returns:
-            快讯列表
-        """
-        try:
-            # 直接访问快讯页面获取数据，无需登录
-            return await self.fetch_flash_news_without_login(count)
-        except Exception as e:
-            self.system_log.add_log("news_flash_fetch_error", detail={
-                "source": "Playwright浏览器",
-                "error": str(e)
-            }, message=f"[Playwright] 获取快讯失败: {e}")
-            print(f"[Jin10Crawler] [Playwright] 获取快讯失败: {e}")
-            return []
-
-    async def fetch_flash_news_without_login(self, count: int = 30) -> List[FlashNews]:
-        """
-        获取快讯（无需登录，直接访问页面）
-
-        Args:
-            count: 获取数量
-
-        Returns:
-            快讯列表
-        """
-        try:
-            # 检查Playwright是否可用
-            if not PLAYWRIGHT_AVAILABLE:
-                print("[Jin10Crawler] Playwright未安装，使用HTTP API获取快讯")
-                return await self._fetch_flash_news_via_api(count)
-
-            # 初始化浏览器（如果还没初始化）
-            if self._browser is None:
-                await self._init_browser()
-
-            # 检查浏览器是否初始化成功
-            if self._page is None:
-                print("[Jin10Crawler] 浏览器初始化失败，使用HTTP API获取快讯")
-                return await self._fetch_flash_news_via_api(count)
-
-            # 直接访问快讯页面
-            url = 'https://www.jin10.com/flash'
-            print(f"[Jin10Crawler] 访问快讯页面: {url}")
-            await self._page.goto(url, wait_until='networkidle', timeout=30000)
-            await asyncio.sleep(3)
-
-            # 获取页面内容
-            content = await self._page.content()
-
-            # 解析HTML获取快讯
-            news_list = []
-            soup = BeautifulSoup(content, 'html.parser')
-            items = soup.select('.jin-flash-item.flash')
-
-            print(f"[Jin10Crawler] 找到 {len(items)} 个快讯元素")
-
-            for idx, item in enumerate(items[:count]):
-                try:
-                    # 获取时间: .item-time
-                    time_el = item.select_one('.item-time')
-                    time_str = time_el.get_text(strip=True) if time_el else ''
-
-                    # 获取内容: .flash-text 或 .item-right
-                    content_el = item.select_one('.flash-text')
-                    if not content_el:
-                        right_el = item.select_one('.item-right')
-                        if right_el:
-                            title_el = right_el.select_one('.item-title')
-                            if title_el:
-                                content_text = title_el.get_text(strip=True)
-                            else:
-                                content_text = right_el.get_text(strip=True)
-                        else:
-                            continue
-                    else:
-                        content_text = content_el.get_text(strip=True)
-
-                    # 使用内容哈希生成唯一ID
-                    content_hash = hashlib.md5(content_text.encode('utf-8')).hexdigest()[:12]
-                    news_id = f"jin10_{content_hash}"
-
-                    # 解析时间
-                    news_time = self._parse_html_time(time_str)
-
-                    news = FlashNews(
-                        id=news_id,
-                        content=content_text,
-                        source='jin10',
-                        time=news_time,
-                        importance=0,
-                        keywords=[],
-                        related_symbols=[]
-                    )
-                    news_list.append(news)
-
-                except Exception as e:
-                    print(f"[Jin10Crawler] 解析快讯项失败: {e}")
-                    continue
-
-            if news_list:
-                self.system_log.add_log("news_flash_fetch", detail={
-                    "source": "金十网站",
-                    "url": url,
-                    "count": len(news_list)
-                }, message=f"[金十网站] 获取快讯成功: {len(news_list)}条")
-                print(f"[Jin10Crawler] [金十网站] 获取快讯成功: {len(news_list)}条")
-            else:
-                self.system_log.add_log("news_flash_fetch", detail={
-                    "source": "金十网站",
-                    "url": url,
-                    "count": 0
-                }, message="[金十网站] 未获取到快讯")
-
-            return news_list
-
-        except Exception as e:
-            self.system_log.add_log("news_flash_fetch_error", detail={
-                "source": "金十网站",
-                "error": str(e)
-            }, message=f"[金十网站] 获取快讯异常: {e}")
-            print(f"[Jin10Crawler] [金十网站] 获取快讯异常: {e}")
-            return []
-
-    async def _fetch_flash_news_via_api(self, count: int = 30) -> List[FlashNews]:
-        """
-        通过HTTP API获取快讯（备用方法，无需Playwright）
+        获取最新快讯
 
         Args:
+            max_id: 获取ID大于此值的快讯（0表示获取最新）
             count: 获取数量
 
         Returns:
@@ -1317,357 +67,78 @@ class Jin10Crawler:
         try:
             session = await self._get_session()
 
-            # 金十快讯API
-            params = {
-                "channel": "-8200",  # 全部快讯
-                "vip": 1,
-                "max_time": int(datetime.now().timestamp())
-            }
-
-            async with session.get(self.FLASH_NEWS_API, params=params) as resp:
-                if resp.status != 200:
-                    print(f"[Jin10Crawler] HTTP API请求失败: {resp.status}")
+            url = f"{self.FLASH_NEWS_API}?maxid={max_id}&count={count}"
+            async with session.get(url) as response:
+                if response.status != 200:
+                    print(f"[Jin10Crawler] 获取快讯失败: HTTP {response.status}")
                     return []
 
-                data = await resp.json()
-
-            # 解析快讯
-            news_list = self._parse_flash_news(data, count)
-
-            if news_list:
-                self.system_log.add_log("news_flash_fetch", detail={
-                    "source": "金十API",
-                    "count": len(news_list)
-                }, message=f"[金十API] 获取快讯成功: {len(news_list)}条")
-                print(f"[Jin10Crawler] [金十API] 获取快讯成功: {len(news_list)}条")
-            else:
-                self.system_log.add_log("news_flash_fetch", detail={
-                    "source": "金十API",
-                    "count": 0
-                }, message="[金十API] 未获取到快讯")
-
-            return news_list
+                data = await response.json()
+                return self._parse_flash_news(data, count)
 
         except Exception as e:
-            self.system_log.add_log("news_flash_fetch_error", detail={
-                "source": "金十API",
-                "error": str(e)
-            }, message=f"[金十API] 获取快讯异常: {e}")
-            print(f"[Jin10Crawler] [金十API] 获取快讯异常: {e}")
+            print(f"[Jin10Crawler] 获取快讯异常: {e}")
             return []
 
     def _parse_flash_news(self, data: Dict, count: int) -> List[FlashNews]:
         """解析快讯数据"""
         news_list = []
+        items = data.get('data', [])
 
-        try:
-            items = data.get('data', [])
-
-            for item in items[:count]:
-                try:
-                    news = FlashNews(
-                        id=str(item.get('id', '')),
-                        content=item.get('content', item.get('data', '')),
-                        source='jin10',
-                        time=self._parse_news_time(item.get('time', item.get('created_at', ''))),
-                        importance=0,  # 后续分析填充
-                        keywords=[],
-                        related_symbols=[]
-                    )
-                    news_list.append(news)
-                except Exception:
-                    continue
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析快讯失败: {e}")
+        for item in items[:count]:
+            try:
+                news = FlashNews(
+                    id=str(item.get('id', '')),
+                    content=item.get('content', ''),
+                    source='jin10',
+                    time=self._parse_news_time(item.get('time')),
+                    importance=item.get('importance', 0),
+                    keywords=item.get('keywords', []),
+                    related_symbols=self._extract_symbols(item.get('content', ''))
+                )
+                news_list.append(news)
+            except Exception as e:
+                print(f"[Jin10Crawler] 解析快讯失败: {e}")
+                continue
 
         return news_list
 
-    def _parse_news_time(self, time_data) -> datetime:
+    def _parse_news_time(self, time_data) -> Optional[datetime]:
         """解析快讯时间"""
+        if time_data is None:
+            return None
+
+        if isinstance(time_data, datetime):
+            return time_data
+
         if isinstance(time_data, (int, float)):
-            # Unix时间戳
-            return datetime.fromtimestamp(int(time_data))
-        elif isinstance(time_data, str):
-            try:
-                # ISO格式
-                return datetime.fromisoformat(time_data.replace('Z', '+00:00'))
-            except:
-                return datetime.now()
-        return datetime.now()
-
-    def _parse_html_time(self, time_str: str) -> datetime:
-        """
-        解析HTML中的时间字符串
-
-        Args:
-            time_str: 时间字符串，如 "23:18:35" 或 "03-15 23:18"
-
-        Returns:
-            datetime对象
-        """
-        if not time_str:
-            return datetime.now()
+            return datetime.fromtimestamp(time_data)
 
         try:
-            now = datetime.now()
-
-            # 格式1: "HH:MM:SS"
-            if re.match(r'^\d{2}:\d{2}:\d{2}$', time_str):
-                hour, minute, second = map(int, time_str.split(':'))
-                return now.replace(hour=hour, minute=minute, second=second, microsecond=0)
-
-            # 格式2: "MM-DD HH:MM"
-            if re.match(r'^\d{2}-\d{2} \d{2}:\d{2}$', time_str):
-                parts = time_str.split(' ')
-                month, day = map(int, parts[0].split('-'))
-                hour, minute = map(int, parts[1].split(':'))
-                return now.replace(month=month, day=day, hour=hour, minute=minute, second=0, microsecond=0)
-
-            # 格式3: "HH:MM"
-            if re.match(r'^\d{2}:\d{2}$', time_str):
-                hour, minute = map(int, time_str.split(':'))
-                return now.replace(hour=hour, minute=minute, second=0, microsecond=0)
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 解析HTML时间失败: {time_str}, {e}")
-
-        return datetime.now()
-
-    # ==================== 事件结果 ====================
-
-    async def fetch_event_result(self, event_id: str) -> Optional[Dict]:
-        """
-        获取事件发布结果
-
-        Args:
-            event_id: 事件ID
-
-        Returns:
-            {actual, forecast, previous, result}
-        """
-        try:
-            session = await self._get_session()
-
-            # 尝试从日历数据中获取
-            url = f"https://rili.jin10.com/datas/{event_id.split('_')[0]}.json"
-            async with session.get(url) as response:
-                if response.status == 200:
-                    data = await response.json()
-                    return self._find_event_result(event_id, data)
-
-        except Exception as e:
-            print(f"[Jin10Crawler] 获取事件结果失败: {e}")
-
-        return None
-
-    def _find_event_result(self, event_id: str, data: Dict) -> Optional[Dict]:
-        """从数据中查找事件结果"""
-        try:
-            # 遍历查找匹配的事件
-            for key, value in data.items():
-                events = value.get('events', value.get('data', []))
-                for item in events:
-                    if str(item.get('id', '')) == event_id:
-                        return {
-                            'actual': item.get('actual', ''),
-                            'forecast': item.get('forecast', ''),
-                            'previous': item.get('previous', ''),
-                        }
-        except Exception:
-            pass
-
-        return None
-
-    # ==================== 影响分析 ====================
-
-    def analyze_data_impact(self, event: CalendarEvent) -> Dict:
-        """
-        分析数据对品种的影响
-
-        Args:
-            event: 已发布的事件（含实际值）
-
-        Returns:
-            {symbol: {direction, strength, reason}}
-        """
-        if not event.actual or not event.forecast:
-            return {}
-
-        result = self._compare_values(event.actual, event.forecast, event.unit)
-        impact = {}
-
-        for symbol in event.symbols:
-            symbol_impact = self._get_symbol_impact(symbol, event.name, result)
-            if symbol_impact:
-                impact[symbol] = symbol_impact
-
-        return impact
-
-    def _compare_values(self, actual: str, forecast: str, unit: str) -> str:
-        """比较实际值和预期值"""
-        try:
-            # 提取数值
-            actual_num = self._extract_number(actual)
-            forecast_num = self._extract_number(forecast)
-
-            if actual_num is None or forecast_num is None:
-                return 'unknown'
-
-            diff_pct = (actual_num - forecast_num) / abs(forecast_num) if forecast_num != 0 else 0
-
-            if abs(diff_pct) < 0.05:  # 5%以内认为符合预期
-                return 'in_line'
-            elif diff_pct > 0:
-                return 'better'  # 实际值高于预期
-            else:
-                return 'worse'  # 实际值低于预期
-
-        except Exception:
-            return 'unknown'
-
-    def _extract_number(self, value: str) -> Optional[float]:
-        """从字符串中提取数值"""
-        if not value:
+            return datetime.fromisoformat(str(time_data).replace('Z', '+00:00'))
+        except:
             return None
 
-        try:
-            # 移除百分号、逗号等
-            cleaned = re.sub(r'[,%$￥¥]', '', str(value))
-            # 提取数字
-            match = re.search(r'[-+]?\d*\.?\d+', cleaned)
-            if match:
-                return float(match.group())
-        except Exception:
-            pass
+    def _extract_symbols(self, content: str) -> List[str]:
+        """从内容中提取相关品种"""
+        symbols = []
+        content_lower = content.lower()
 
-        return None
-
-    def _get_symbol_impact(self, symbol: str, event_name: str, result: str) -> Optional[Dict]:
-        """获取对特定品种的影响"""
-        if result == 'unknown' or result == 'in_line':
-            return None
-
-        # 查找匹配的规则
-        rules = DATA_IMPACT_RULES.get(symbol, {})
-
-        for event_key, rule in rules.items():
-            if event_key in event_name:
-                direction = rule.get(result, '中性')
-                reason_key = f'reason_{result}'
-                reason = rule.get(reason_key, '')
-
-                return {
-                    'direction': direction,
-                    'strength': '中',
-                    'reason': reason
-                }
-
-        return None
-
-    def analyze_news_impact(self, news: FlashNews) -> Dict:
-        """
-        分析快讯对品种的影响
-
-        Args:
-            news: 快讯内容
-
-        Returns:
-            {speaker, impact: {symbol: {direction, reason}}}
-        """
-        content = news.content
-
-        # 1. 检查是否涉及关键人物
-        speaker_info = self._check_key_speaker(content)
-
-        # 2. 检查是否涉及关键事件
-        event_info = self._check_key_event(content)
-
-        impact = {}
-
-        if speaker_info:
-            # 根据讲话内容分析影响
-            for symbol in speaker_info.get('impact_symbols', []):
-                symbol_impact = self._analyze_speaker_content(
-                    symbol, content, speaker_info
-                )
-                if symbol_impact:
-                    impact[symbol] = symbol_impact
-
-        if event_info:
-            # 根据事件类型分析影响
-            for symbol in event_info.get('symbols', []):
-                symbol_impact = self._analyze_event_content(
-                    symbol, content, event_info
-                )
-                if symbol_impact:
-                    impact[symbol] = symbol_impact
-
-        return {
-            'speaker': speaker_info.get('name', '') if speaker_info else '',
-            'speaker_title': speaker_info.get('title', '') if speaker_info else '',
-            'event_type': event_info.get('name', '') if event_info else '',
-            'impact': impact
+        symbol_keywords = {
+            'GOLD': ['gold', '黄金', 'xau'],
+            'OIL': ['oil', '原油', 'wti', 'brent'],
+            'SPX': ['spx', 's&p', '标普'],
+            'USDJPY': ['usdjpy', '日元', 'jpy'],
+            'BTC': ['btc', 'bitcoin', '比特币']
         }
 
-    def _check_key_speaker(self, content: str) -> Optional[Dict]:
-        """检查是否涉及关键人物"""
-        for speaker in KEY_SPEAKERS:
-            for keyword in speaker['keywords']:
-                if keyword in content:
-                    # 检查是否涉及关键话题
-                    for topic in speaker['watch_topics']:
-                        if topic in content:
-                            return speaker
-        return None
+        for symbol, keywords in symbol_keywords.items():
+            for kw in keywords:
+                if kw in content_lower:
+                    symbols.append(symbol)
+                    break
 
-    def _check_key_event(self, content: str) -> Optional[Dict]:
-        """检查是否涉及关键事件"""
-        for event in KEY_EVENTS:
-            for keyword in event['watch_keywords']:
-                if keyword in content:
-                    return event
-        return None
-
-    def _analyze_speaker_content(self, symbol: str, content: str, speaker: Dict) -> Optional[Dict]:
-        """分析讲话内容对品种的影响"""
-        default_impact = speaker.get('default_impact', {}).get(symbol, {})
-
-        for topic, direction in default_impact.items():
-            if topic in content:
-                return {
-                    'direction': direction,
-                    'strength': '高' if speaker['importance'] == 3 else '中',
-                    'reason': f"{speaker['name']}关于{topic}的讲话"
-                }
-
-        return {
-            'direction': '不确定',
-            'strength': '中',
-            'reason': f"{speaker['name']}讲话"
-        }
-
-    def _analyze_event_content(self, symbol: str, content: str, event: Dict) -> Optional[Dict]:
-        """分析事件内容对品种的影响"""
-        # 简单的情感分析
-        negative_words = ['下跌', '暴跌', '利空', '担忧', '风险', '紧张', '冲突', '战争']
-        positive_words = ['上涨', '暴涨', '利好', '乐观', '增长', '协议', '达成']
-
-        negative_count = sum(1 for w in negative_words if w in content)
-        positive_count = sum(1 for w in positive_words if w in content)
-
-        if negative_count > positive_count:
-            direction = '利空'
-        elif positive_count > negative_count:
-            direction = '利好'
-        else:
-            direction = '不确定'
-
-        return {
-            'direction': direction,
-            'strength': '高' if event['importance'] == 3 else '中',
-            'reason': f"{event['name']}相关新闻"
-        }
+        return symbols
 
 
 # 全局单例
@@ -1675,7 +146,7 @@ _jin10_crawler = None
 
 
 def get_jin10_crawler() -> Jin10Crawler:
-    """获取金十爬虫单例"""
+    """获取爬虫单例"""
     global _jin10_crawler
     if _jin10_crawler is None:
         _jin10_crawler = Jin10Crawler()
diff --git a/market/news_monitor.py b/market/news_monitor.py
deleted file mode 100644
index f007218..0000000
--- a/market/news_monitor.py
+++ /dev/null
@@ -1,332 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-新闻监控模块
-分析影响、推送提醒
-财经日历数据由EA端通过MT5 API获取后推送
-"""
-
-import asyncio
-from datetime import datetime, timedelta
-from typing import List, Dict, Optional, Set
-import json
-import threading
-
-from .news_crawler import Jin10Crawler, get_jin10_crawler
-from .news_store import CalendarEvent, FlashNews, get_news_store
-from .event_config import get_high_impact_event_names
-from .system_log import get_system_log
-
-
-class NewsMonitor:
-    """新闻监控器"""
-
-    def __init__(self):
-        self.crawler = get_jin10_crawler()  # 仅用于快讯
-        self.store = get_news_store()
-        self.system_log = get_system_log()
-
-        # WebSocket客户端
-        self._ws_clients: Set = set()
-        self._ws_lock = threading.Lock()
-
-        # 主事件循环引用
-        self._main_loop = None
-
-        # 是否正在运行
-        self._running = False
-
-        # 高影响事件名称
-        self._high_impact_names = get_high_impact_event_names()
-
-        # 已调度的事件
-        self._scheduled_events: Dict[str, asyncio.Task] = {}
-
-        print("[NewsMonitor] 新闻监控器已初始化")
-
-        # 记录日志
-        self.system_log.add_log("news_crawler_start", message="新闻监控器已初始化（财经日历由EA推送）")
-
-    def set_event_loop(self, loop):
-        """设置主事件循环引用"""
-        self._main_loop = loop
-        print("[NewsMonitor] 已设置主事件循环")
-
-    def add_ws_client(self, client):
-        """添加WebSocket客户端"""
-        with self._ws_lock:
-            self._ws_clients.add(client)
-            print(f"[NewsMonitor] WebSocket客户端已连接, 当前连接数: {len(self._ws_clients)}")
-
-    def remove_ws_client(self, client):
-        """移除WebSocket客户端"""
-        with self._ws_lock:
-            self._ws_clients.discard(client)
-            print(f"[NewsMonitor] WebSocket客户端已断开, 当前连接数: {len(self._ws_clients)}")
-
-    def get_ws_client_count(self) -> int:
-        """获取WebSocket客户端数量"""
-        with self._ws_lock:
-            return len(self._ws_clients)
-
-    # ==================== 主循环 ====================
-
-    async def run(self):
-        """主运行循环"""
-        if self._running:
-            print("[NewsMonitor] 已经在运行中")
-            return
-
-        self._running = True
-        print("[NewsMonitor] 开始运行...")
-
-        # 启动多个并行任务
-        await asyncio.gather(
-            self._flash_news_loop(),     # 快讯监控（每30秒）
-            self._event_reminder_loop(), # 事件提醒（每分钟检查）
-            self._cleanup_loop(),        # 过期数据清理（每10分钟）
-        )
-
-    async def stop(self):
-        """停止运行"""
-        self._running = False
-        await self.crawler.close()
-        print("[NewsMonitor] 已停止")
-
-    # ==================== 事件提醒循环 ====================
-
-    async def _event_reminder_loop(self):
-        """检查即将发布的事件并发送提醒"""
-        while self._running:
-            try:
-                now = datetime.now()
-
-                # 获取未来1小时内的重要事件
-                events = self.store.get_upcoming_events(hours=1)
-
-                for event in events:
-                    if not event.publish_time:
-                        continue
-
-                    # 发布前5分钟提醒
-                    time_to_publish = (event.publish_time - now).total_seconds()
-                    if 0 < time_to_publish <= 300:  # 5分钟内
-                        if not self.store.is_event_alerted(f"{event.id}_reminder"):
-                            await self._send_event_reminder(event)
-                            self.store.mark_event_alerted(f"{event.id}_reminder")
-
-                # 每分钟检查一次
-                await asyncio.sleep(60)
-
-            except Exception as e:
-                print(f"[NewsMonitor] 事件提醒检查异常: {e}")
-                await asyncio.sleep(30)
-
-    async def _send_event_reminder(self, event: CalendarEvent):
-        """发送事件提醒"""
-        alert = {
-            "type": "event_reminder",
-            "event": event.to_dict(),
-            "message": f"重要数据 {event.name} 将在5分钟内发布",
-            "timestamp": datetime.now().isoformat()
-        }
-
-        await self._broadcast_alert(alert)
-
-        self.system_log.add_log("news_event_reminder", detail={
-            "event_id": event.id,
-            "event_name": event.name,
-            "currency": event.currency
-        }, message=f"事件发布前提醒: {event.name}")
-
-        print(f"[NewsMonitor] 事件提醒: {event.name}")
-
-    # ==================== 快讯循环 ====================
-
-    async def _flash_news_loop(self):
-        """快讯监控循环"""
-        max_id = 0
-        check_count = 0
-
-        while self._running:
-            try:
-                check_count += 1
-
-                # 每10次检查记录一次日志
-                if check_count % 10 == 0:
-                    self.system_log.add_log("news_flash_fetch", detail={
-                        "check_count": check_count,
-                        "max_id": max_id
-                    }, message=f"快讯检查 #{check_count}")
-
-                # 获取最新快讯
-                news_list = await self.crawler.fetch_flash_news(max_id=max_id, count=20)
-
-                if news_list:
-                    self.system_log.add_log("news_flash_fetch", detail={
-                        "count": len(news_list)
-                    }, message=f"获取到 {len(news_list)} 条快讯")
-
-                for news in reversed(news_list):  # 按时间顺序处理
-                    # 检查是否已处理
-                    if self.store.is_news_alerted(news.id):
-                        continue
-
-                    # 分析影响
-                    analysis = self.crawler.analyze_news_impact(news)
-
-                    # 只推送有影响的快讯
-                    if analysis['impact'] or analysis['speaker']:
-                        news.speaker = analysis['speaker']
-                        news.speaker_title = analysis['speaker_title']
-                        news.impact = analysis['impact']
-                        news.analyzed = True
-                        news.importance = 2 if analysis['speaker'] else 1
-
-                        # 添加到存储
-                        self.store.add_flash_news(news)
-
-                        # 推送提醒
-                        alert = {
-                            "type": "flash_news",
-                            "news": news.to_dict(),
-                            "analysis": analysis,
-                            "timestamp": datetime.now().isoformat()
-                        }
-
-                        await self._broadcast_alert(alert)
-
-                        self.system_log.add_log("news_impact_analysis", detail={
-                            "news_id": news.id,
-                            "speaker": news.speaker,
-                            "impact": news.impact
-                        }, message=f"快讯影响分析: {news.speaker or '事件'} -> {list(news.impact.keys())}")
-
-                        print(f"[NewsMonitor] 快讯已推送: {news.id} - {news.speaker}")
-
-                    # 标记已处理
-                    self.store.mark_news_alerted(news.id)
-
-                    # 更新max_id
-                    try:
-                        if int(news.id) > max_id:
-                            max_id = int(news.id)
-                    except:
-                        pass
-
-                # 每30秒检查一次
-                await asyncio.sleep(30)
-
-            except Exception as e:
-                self.system_log.add_log("news_flash_fetch_error", detail={
-                    "error": str(e)
-                }, message=f"快讯监控异常: {e}")
-                print(f"[NewsMonitor] 快讯监控异常: {e}")
-                await asyncio.sleep(10)
-
-    # ==================== 清理循环 ====================
-
-    async def _cleanup_loop(self):
-        """定期清理过期数据"""
-        while self._running:
-            try:
-                # 每10分钟清理一次
-                await asyncio.sleep(600)
-
-                removed = self.store.cleanup_expired_events()
-                if removed > 0:
-                    print(f"[NewsMonitor] 已清理 {removed} 条过期事件")
-
-            except Exception as e:
-                print(f"[NewsMonitor] 清理任务异常: {e}")
-                await asyncio.sleep(60)
-
-    # ==================== 广播消息 ====================
-
-    async def _broadcast_alert(self, alert: Dict):
-        """广播提醒到所有WebSocket客户端"""
-        message = json.dumps(alert, ensure_ascii=False)
-
-        with self._ws_lock:
-            clients = list(self._ws_clients)
-
-        if not clients:
-            return
-
-        if self._main_loop and self._main_loop.is_running():
-            for client in clients:
-                try:
-                    asyncio.run_coroutine_threadsafe(
-                        self._send_to_client(client, message),
-                        self._main_loop
-                    )
-                except Exception as e:
-                    print(f"[NewsMonitor] 发送WebSocket消息失败: {e}")
-        else:
-            for client in clients:
-                try:
-                    await self._send_to_client(client, message)
-                except Exception as e:
-                    print(f"[NewsMonitor] 发送消息失败: {e}")
-
-    async def _send_to_client(self, client, message: str):
-        """发送消息到客户端"""
-        try:
-            await client.send_text(message)
-        except Exception as e:
-            print(f"[NewsMonitor] 发送消息到客户端失败: {e}")
-            with self._ws_lock:
-                self._ws_clients.discard(client)
-
-    async def _broadcast_calendar_update(self):
-        """广播日历更新"""
-        calendar = self.store.get_calendar()
-        message = json.dumps({
-            "type": "calendar_update",
-            "data": calendar
-        }, ensure_ascii=False)
-
-        with self._ws_lock:
-            clients = list(self._ws_clients)
-
-        for client in clients:
-            try:
-                await self._send_to_client(client, message)
-            except Exception:
-                pass
-
-    # ==================== 状态查询 ====================
-
-    def get_status(self) -> Dict:
-        """获取监控状态"""
-        return {
-            "running": self._running,
-            "ws_clients": self.get_ws_client_count(),
-            "store_status": self.store.get_status(),
-            "scheduled_events": len(self._scheduled_events)
-        }
-
-    def get_calendar(self, date_str: str = None) -> List[Dict]:
-        """获取财经日历"""
-        return self.store.get_calendar(date_str)
-
-    def get_upcoming_events(self, hours: int = 24) -> List[Dict]:
-        """获取即将发布的事件"""
-        events = self.store.get_upcoming_events(hours)
-        return [e.to_dict() for e in events]
-
-    def get_recent_news(self, count: int = 20) -> List[Dict]:
-        """获取最近快讯"""
-        return self.store.get_flash_news(count)
-
-
-# 全局单例
-_news_monitor = None
-
-
-def get_news_monitor() -> NewsMonitor:
-    """获取新闻监控器单例"""
-    global _news_monitor
-    if _news_monitor is None:
-        _news_monitor = NewsMonitor()
-    return _news_monitor
\ No newline at end of file
diff --git a/market/news_store.py b/market/news_store.py
deleted file mode 100644
index 59ea0ce..0000000
--- a/market/news_store.py
+++ /dev/null
@@ -1,441 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-新闻数据存储模块
-存储财经日历、快讯和事件数据
-"""
-
-from collections import deque
-from datetime import datetime, timedelta
-from typing import List, Dict, Optional
-import threading
-from dataclasses import dataclass, field
-import re
-
-
-# MT5中表示无效值的特殊数值
-MT5_INVALID_VALUE = -9223372036854775808.0
-
-
-def _clean_invalid_value(value: str) -> str:
-    """清理MT5返回的无效值"""
-    if not value:
-        return ""
-    try:
-        # 检查是否是无效值
-        num = float(value)
-        if num == MT5_INVALID_VALUE or num < -1e15:
-            return ""
-        # 格式化有效数值
-        if num == int(num):
-            return str(int(num))
-        return value
-    except (ValueError, TypeError):
-        return value
-
-
-def _clean_text(text: str) -> str:
-    """清理文本中的控制字符和无效Unicode"""
-    if not text:
-        return ""
-    # 移除控制字符 (0x00-0x1F 和 0x7F)
-    cleaned = re.sub(r'[\x00-\x1f\x7f]', '', text)
-    # 移除不可打印字符（保留ASCII、中文等常用字符）
-    # 保留：ASCII (0x20-0x7E), 中文 (0x4E00-0x9FFF), 其他常用Unicode
-    result = []
-    for char in cleaned:
-        code = ord(char)
-        if (0x20 <= code <= 0x7E or  # ASCII可打印字符
-            0x4E00 <= code <= 0x9FFF or  # CJK统一汉字
-            0x3000 <= code <= 0x303F or  # CJK标点
-            0xFF00 <= code <= 0xFFEF or  # 全角字符
-            code > 0x9FFF):  # 其他Unicode字符
-            result.append(char)
-    return ''.join(result)
-
-
-def _is_valid_name(name: str) -> bool:
-    """检查名称是否有效（不是乱码）"""
-    if not name or len(name) < 2:
-        return False
-    # 计算可打印字符的比例
-    printable_count = 0
-    for char in name:
-        code = ord(char)
-        if (0x20 <= code <= 0x7E or  # ASCII可打印字符
-            0x4E00 <= code <= 0x9FFF or  # CJK统一汉字
-            0x3000 <= code <= 0x303F or  # CJK标点
-            0xFF00 <= code <= 0xFFEF):  # 全角字符
-            printable_count += 1
-    # 如果可打印字符比例低于70%，认为是乱码
-    ratio = printable_count / len(name) if name else 0
-    return ratio >= 0.7
-
-
-@dataclass
-class CalendarEvent:
-    """财经日历事件"""
-    id: str
-    name: str
-    name_en: str = ""
-    country: str = ""
-    currency: str = ""  # 货币代码
-    importance: int = 0  # 0-3
-    publish_time: datetime = None
-    forecast: str = ""
-    previous: str = ""
-    actual: str = ""
-    unit: str = ""
-    symbols: List[str] = field(default_factory=list)
-    event_type: str = ""  # 事件类型（指标、讲话等）
-
-    # 发布后填充
-    result: str = ""  # better/worse/in_line
-    impact: Dict = field(default_factory=dict)  # {symbol: {direction, reason}}
-    analyzed: bool = False
-
-    def to_dict(self) -> Dict:
-        return {
-            "id": self.id,
-            "name": self.name,
-            "name_en": self.name_en,
-            "country": self.country,
-            "currency": self.currency,
-            "importance": self.importance,
-            "publish_time": self.publish_time.isoformat() if self.publish_time else None,
-            "forecast": self.forecast,
-            "previous": self.previous,
-            "actual": self.actual,
-            "unit": self.unit,
-            "symbols": self.symbols,
-            "event_type": self.event_type,
-            "result": self.result,
-            "impact": self.impact,
-            "analyzed": self.analyzed
-        }
-
-
-@dataclass
-class FlashNews:
-    """快讯数据"""
-    id: str
-    content: str
-    source: str = ""
-    time: datetime = None
-    importance: int = 0
-    keywords: List[str] = field(default_factory=list)
-    related_symbols: List[str] = field(default_factory=list)
-
-    # 分析后填充
-    speaker: str = ""
-    speaker_title: str = ""
-    impact: Dict = field(default_factory=dict)
-    analyzed: bool = False
-
-    def to_dict(self) -> Dict:
-        return {
-            "id": self.id,
-            "content": self.content,
-            "source": self.source,
-            "time": self.time.isoformat() if self.time else None,
-            "importance": self.importance,
-            "keywords": self.keywords,
-            "related_symbols": self.related_symbols,
-            "speaker": self.speaker,
-            "speaker_title": self.speaker_title,
-            "impact": self.impact,
-            "analyzed": self.analyzed
-        }
-
-
-class NewsStore:
-    """新闻存储"""
-
-    # 过期数据清理阈值（小时）
-    EXPIRY_HOURS = 6
-
-    def __init__(self):
-        # 财经日历: 使用列表存储所有事件，按时间排序
-        # 不再按日期分片，直接存储在内存中
-        self._calendar_events: List[CalendarEvent] = []
-        self._calendar_lock = threading.RLock()
-
-        # 快讯历史: deque[FlashNews]
-        # 保留最新100条
-        self._flash_news: deque = deque(maxlen=100)
-        self._news_lock = threading.RLock()
-
-        # 已提醒的事件ID
-        self._alerted_events: set = set()
-        self._alerted_news: set = set()
-
-        # 即将发布的重要事件（用于调度）
-        self._upcoming_events: Dict[str, CalendarEvent] = {}
-
-        print("[NewsStore] 新闻存储已初始化")
-
-    # ==================== 财经日历 ====================
-
-    def update_calendar_from_mt5(self, events: List[Dict]) -> int:
-        """
-        从MT5数据更新财经日历
-
-        Args:
-            events: MT5返回的事件列表
-
-        Returns:
-            更新的事件数量
-        """
-        now = datetime.now()
-        expiry_threshold = now - timedelta(hours=self.EXPIRY_HOURS)
-
-        with self._calendar_lock:
-            # 1. 清理过期数据
-            self._calendar_events = [
-                e for e in self._calendar_events
-                if e.publish_time and e.publish_time > expiry_threshold
-            ]
-
-            # 2. 构建现有事件的ID集合
-            existing_ids = {e.id for e in self._calendar_events}
-
-            # 3. 添加或更新事件
-            new_count = 0
-            update_count = 0
-
-            for event_data in events:
-                event_id = str(event_data.get('id', ''))
-
-                # 解析发布时间
-                publish_time = event_data.get('publish_time')
-                if isinstance(publish_time, str):
-                    try:
-                        # 尝试ISO格式
-                        publish_time = datetime.fromisoformat(publish_time.replace('Z', '+00:00'))
-                    except:
-                        try:
-                            # 尝试MQL5 TimeToString格式: "2026.03.16 20:30:00"
-                            publish_time = datetime.strptime(publish_time, '%Y.%m.%d %H:%M:%S')
-                        except Exception as e:
-                            print(f"[NewsStore] 无法解析时间 '{publish_time}': {e}")
-                            continue
-                elif not isinstance(publish_time, datetime):
-                    print(f"[NewsStore] 事件 {event_id} 缺少有效的publish_time")
-                    continue
-
-                # 跳过过期数据
-                if publish_time < expiry_threshold:
-                    continue
-
-                # 清理并检查名称有效性
-                cleaned_name = _clean_text(event_data.get('name', ''))
-                if not _is_valid_name(cleaned_name):
-                    # 名称无效（乱码），跳过此事件
-                    continue
-
-                # 创建事件对象
-                event = CalendarEvent(
-                    id=event_id,
-                    name=cleaned_name,
-                    name_en=_clean_text(event_data.get('name_en', '')),
-                    country=_clean_text(event_data.get('country', '')),
-                    currency=event_data.get('currency', ''),
-                    importance=event_data.get('importance', 0),
-                    publish_time=publish_time,
-                    forecast=_clean_invalid_value(event_data.get('forecast', '')),
-                    previous=_clean_invalid_value(event_data.get('previous', '')),
-                    actual=_clean_invalid_value(event_data.get('actual', '')),
-                    unit=event_data.get('unit', ''),
-                    symbols=event_data.get('symbols', []),
-                    event_type=event_data.get('event_type', '')
-                )
-
-                if event_id in existing_ids:
-                    # 更新现有事件
-                    for i, e in enumerate(self._calendar_events):
-                        if e.id == event_id:
-                            self._calendar_events[i] = event
-                            update_count += 1
-                            break
-                else:
-                    # 添加新事件
-                    self._calendar_events.append(event)
-                    new_count += 1
-
-            # 4. 按时间排序
-            self._calendar_events.sort(key=lambda x: x.publish_time or datetime.min)
-
-            total = len(self._calendar_events)
-            print(f"[NewsStore] MT5财经日历更新: 新增{new_count}条, 更新{update_count}条, 当前共{total}条")
-
-            return new_count + update_count
-
-    def get_calendar(self, date_str: str = None) -> List[Dict]:
-        """
-        获取财经日历
-
-        Args:
-            date_str: 日期，None返回所有
-
-        Returns:
-            事件列表
-        """
-        with self._calendar_lock:
-            if date_str:
-                # 过滤指定日期
-                filtered = [
-                    e for e in self._calendar_events
-                    if e.publish_time and e.publish_time.strftime('%Y-%m-%d') == date_str
-                ]
-                return [e.to_dict() for e in filtered]
-            else:
-                return [e.to_dict() for e in self._calendar_events]
-
-    def get_upcoming_events(self, hours: int = 24) -> List[CalendarEvent]:
-        """
-        获取即将发布的重要事件
-
-        Args:
-            hours: 未来多少小时内
-
-        Returns:
-            事件列表
-        """
-        now = datetime.now()
-        upcoming = []
-
-        with self._calendar_lock:
-            for event in self._calendar_events:
-                if event.publish_time and event.importance >= 2:
-                    delta = event.publish_time - now
-                    if 0 < delta.total_seconds() <= hours * 3600:
-                        upcoming.append(event)
-
-        return sorted(upcoming, key=lambda x: x.publish_time)
-
-    def get_event_by_id(self, event_id: str) -> Optional[CalendarEvent]:
-        """根据ID获取事件"""
-        with self._calendar_lock:
-            for event in self._calendar_events:
-                if event.id == event_id:
-                    return event
-        return None
-
-    def update_event_result(self, event_id: str, actual: str, result: str, impact: Dict) -> None:
-        """更新事件结果"""
-        with self._calendar_lock:
-            event = self.get_event_by_id(event_id)
-            if event:
-                event.actual = actual
-                event.result = result
-                event.impact = impact
-                event.analyzed = True
-                print(f"[NewsStore] 更新事件结果: {event.name}, 实际值={actual}, 结果={result}")
-
-    def is_event_alerted(self, event_id: str) -> bool:
-        """检查事件是否已提醒"""
-        return event_id in self._alerted_events
-
-    def mark_event_alerted(self, event_id: str) -> None:
-        """标记事件已提醒"""
-        self._alerted_events.add(event_id)
-
-    def cleanup_expired_events(self) -> int:
-        """
-        清理过期超过6小时的事件
-
-        Returns:
-            清理的事件数量
-        """
-        now = datetime.now()
-        expiry_threshold = now - timedelta(hours=self.EXPIRY_HOURS)
-
-        with self._calendar_lock:
-            before_count = len(self._calendar_events)
-            self._calendar_events = [
-                e for e in self._calendar_events
-                if e.publish_time and e.publish_time > expiry_threshold
-            ]
-            removed = before_count - len(self._calendar_events)
-
-            if removed > 0:
-                print(f"[NewsStore] 清理过期事件: {removed}条")
-
-            return removed
-
-    # ==================== 快讯 ====================
-
-    def add_flash_news(self, news: FlashNews) -> bool:
-        """
-        添加快讯
-
-        Returns:
-            是否新增（False表示已存在）
-        """
-        with self._news_lock:
-            # 检查是否已存在
-            for existing in self._flash_news:
-                if existing.id == news.id:
-                    return False
-
-            self._flash_news.appendleft(news)
-            print(f"[NewsStore] 新增快讯: {news.id}")
-            return True
-
-    def get_flash_news(self, count: int = 20) -> List[Dict]:
-        """获取最新快讯"""
-        with self._news_lock:
-            news_list = list(self._flash_news)[:count]
-            return [n.to_dict() for n in news_list]
-
-    def is_news_alerted(self, news_id: str) -> bool:
-        """检查快讯是否已提醒"""
-        return news_id in self._alerted_news
-
-    def mark_news_alerted(self, news_id: str) -> None:
-        """标记快讯已提醒"""
-        self._alerted_news.add(news_id)
-
-    def update_news_analysis(self, news_id: str, speaker: str, speaker_title: str, impact: Dict) -> None:
-        """更新快讯分析结果"""
-        with self._news_lock:
-            for news in self._flash_news:
-                if news.id == news_id:
-                    news.speaker = speaker
-                    news.speaker_title = speaker_title
-                    news.impact = impact
-                    news.analyzed = True
-                    break
-
-    # ==================== 统计 ====================
-
-    def get_status(self) -> Dict:
-        """获取存储状态"""
-        with self._calendar_lock, self._news_lock:
-            return {
-                "calendar_events": len(self._calendar_events),
-                "flash_news_count": len(self._flash_news),
-                "alerted_events": len(self._alerted_events),
-                "alerted_news": len(self._alerted_news)
-            }
-
-    def clear(self) -> None:
-        """清空所有数据"""
-        with self._calendar_lock, self._news_lock:
-            self._calendar_events.clear()
-            self._flash_news.clear()
-            self._alerted_events.clear()
-            self._alerted_news.clear()
-            print("[NewsStore] 已清空所有数据")
-
-
-# 全局单例
-_news_store = None
-
-
-def get_news_store() -> NewsStore:
-    """获取新闻存储单例"""
-    global _news_store
-    if _news_store is None:
-        _news_store = NewsStore()
-    return _news_store
\ No newline at end of file
diff --git a/market/pivot_detector.py b/market/pivot_detector.py
deleted file mode 100644
index 09fafbd..0000000
--- a/market/pivot_detector.py
+++ /dev/null
@@ -1,457 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-转折点检测模块
-识别K线的高点和低点（分型识别）
-"""
-
-from collections import defaultdict
-from datetime import datetime
-from typing import List, Dict, Optional, Tuple
-import threading
-
-from .store import KlineData
-
-
-class PivotPoint:
-    """转折点数据结构"""
-
-    def __init__(self, symbol: str, period: str, timestamp, price: float,
-                 direction: str, strength: int = 3):
-        self.symbol = symbol
-        self.period = period
-        self.timestamp = timestamp
-        self.price = price
-        self.direction = direction  # "high" 或 "low"
-        self.strength = strength    # 转折强度（左右各N根K线）
-
-    def to_dict(self) -> Dict:
-        """转换为字典"""
-        ts = self.timestamp
-        if isinstance(ts, datetime):
-            ts_str = ts.strftime("%Y-%m-%d %H:%M:%S")
-        else:
-            ts_str = str(ts)
-
-        return {
-            "symbol": self.symbol,
-            "period": self.period,
-            "timestamp": ts_str,
-            "price": self.price,
-            "direction": self.direction,
-            "strength": self.strength
-        }
-
-
-class PivotDetector:
-    """转折点检测器"""
-
-    # 各周期接近阈值（千分比）
-    THRESHOLDS = {
-        'H4': 0.0015,   # 千分之1.5
-        'H1': 0.0015,   # 千分之1.5
-        'M15': 0.0015,  # 千分之1.5
-        'M5': 0.0005,   # 千分之0.5
-        'M1': 0.0002    # 千分之0.2
-    }
-
-    # 各周期转折强度（左右各N根K线）
-    # M1: 6根K线, M5: 4根K线, M15/H1/H4: 3根K线
-    PERIOD_STRENGTH = {
-        'M1': 6,
-        'M5': 4,
-        'M15': 3,
-        'H1': 3,
-        'H4': 3
-    }
-
-    def __init__(self):
-        # 存储转折点: {SYMBOL: {PERIOD: [PivotPoint, ...]}}
-        # 这是合并后的转折点，用于价格接近检测
-        self._pivots = defaultdict(lambda: defaultdict(list))
-
-        # 转折点时间线: {SYMBOL: {PERIOD: [PivotPoint, ...]}}
-        # 这是合并前的原始转折点，按时间排序，用于判断趋势方向
-        self._pivots_timeline = defaultdict(lambda: defaultdict(list))
-
-        self._lock = threading.RLock()
-
-        # 默认转折强度（左右各N根K线）- 仅作为后备值
-        self.default_strength = 3
-
-        print("[PivotDetector] 转折点检测器已初始化")
-        print(f"[PivotDetector] 周期强度配置: {self.PERIOD_STRENGTH}")
-
-    def detect_pivots(self, symbol: str, period: str, klines: List[KlineData],
-                      strength: int = None) -> List[PivotPoint]:
-        """
-        检测转折点
-
-        Args:
-            symbol: 交易品种
-            period: 周期
-            klines: K线数据列表
-            strength: 转折强度（左右各N根K线），None则使用周期默认值
-
-        Returns:
-            检测到的转折点列表
-        """
-        # 优先使用传入的strength，否则使用周期配置的strength
-        if strength is None:
-            strength = self.PERIOD_STRENGTH.get(period, self.default_strength)
-
-        if len(klines) < 2 * strength + 1:
-            return []
-
-        pivots = []
-
-        # 遍历K线，检测分型
-        for i in range(strength, len(klines) - strength):
-            current = klines[i]
-
-            # 检查是否为高点（顶分型）
-            is_high = True
-            for j in range(1, strength + 1):
-                if klines[i - j].high >= current.high or klines[i + j].high >= current.high:
-                    is_high = False
-                    break
-
-            if is_high:
-                pivot = PivotPoint(
-                    symbol=symbol,
-                    period=period,
-                    timestamp=current.timestamp,
-                    price=current.high,
-                    direction="high",
-                    strength=strength
-                )
-                pivots.append(pivot)
-
-            # 检查是否为低点（底分型）
-            is_low = True
-            for j in range(1, strength + 1):
-                if klines[i - j].low <= current.low or klines[i + j].low <= current.low:
-                    is_low = False
-                    break
-
-            if is_low:
-                pivot = PivotPoint(
-                    symbol=symbol,
-                    period=period,
-                    timestamp=current.timestamp,
-                    price=current.low,
-                    direction="low",
-                    strength=strength
-                )
-                pivots.append(pivot)
-
-        return pivots
-
-    def _merge_pivots(self, pivots: List[PivotPoint], klines: List[KlineData]) -> List[PivotPoint]:
-        """
-        合并相近的转折点
-
-        合并规则：
-        - 相邻两个同方向转折点
-        - 价格相差在万分之四范围内
-        - 高点合并：取较高的价格
-        - 低点合并：取较低的价格
-
-        Args:
-            pivots: 原始转折点列表
-            klines: K线数据（用于计算K线索引）
-
-        Returns:
-            合并后的转折点列表
-        """
-        if len(pivots) < 2:
-            return pivots
-
-        # 分开处理高点和低点
-        high_pivots = [p for p in pivots if p.direction == "high"]
-        low_pivots = [p for p in pivots if p.direction == "low"]
-
-        # 合并高点
-        merged_highs = self._merge_same_direction(high_pivots, "high")
-
-        # 合并低点
-        merged_lows = self._merge_same_direction(low_pivots, "low")
-
-        # 合并结果
-        result = merged_highs + merged_lows
-        return result
-
-    def _merge_same_direction(self, pivots: List[PivotPoint], direction: str) -> List[PivotPoint]:
-        """
-        合并同方向的转折点
-
-        合并规则：相邻两个转折点价格差距小于万分之四时合并
-        """
-        if len(pivots) < 2:
-            return pivots
-
-        # 按时间排序
-        pivots = sorted(pivots, key=lambda p: str(p.timestamp))
-
-        merged = []
-        i = 0
-
-        while i < len(pivots):
-            current = pivots[i]
-
-            # 查找需要合并的转折点
-            group = [current]
-
-            j = i + 1
-            while j < len(pivots):
-                next_pivot = pivots[j]
-
-                # 检查价格差距（万分之四）
-                if current.price > 0:
-                    price_diff_pct = abs(next_pivot.price - current.price) / current.price
-                    if price_diff_pct <= 0.0004:  # 万分之四
-                        group.append(next_pivot)
-                        j += 1
-                        continue
-
-                break
-
-            # 从组中选择代表性转折点
-            if direction == "high":
-                # 高点：取价格最高的
-                best = max(group, key=lambda p: p.price)
-            else:
-                # 低点：取价格最低的
-                best = min(group, key=lambda p: p.price)
-
-            merged.append(best)
-            i = j
-
-        return merged
-
-    def update_pivots(self, symbol: str, period: str, klines: List[KlineData],
-                      strength: int = None) -> int:
-        """
-        更新转折点数据
-
-        Args:
-            symbol: 交易品种
-            period: 周期
-            klines: K线数据列表
-            strength: 转折强度，None则使用周期默认值
-
-        Returns:
-            更新后的转折点数量
-        """
-        # 使用周期配置的strength
-        if strength is None:
-            strength = self.PERIOD_STRENGTH.get(period, self.default_strength)
-
-        pivots = self.detect_pivots(symbol, period, klines, strength)
-
-        with self._lock:
-            # 保存原始转折点到时间线（按时间排序，用于判断趋势）
-            # 高点和低点混合在一起，按时间戳排序
-            timeline = sorted(pivots, key=lambda p: self._normalize_timestamp(p.timestamp))
-            self._pivots_timeline[symbol][period] = timeline
-
-            # 合并相近的转折点（用于价格接近检测）
-            merged_pivots = self._merge_pivots(pivots, klines)
-            self._pivots[symbol][period] = merged_pivots
-            count = len(merged_pivots)
-
-        original_count = len(pivots)
-        timeline_count = len(timeline)
-        if original_count != count:
-            print(f"[PivotDetector] {symbol} {period} 检测到 {original_count} 个转折点，时间线 {timeline_count} 个，合并后 {count} 个")
-        else:
-            print(f"[PivotDetector] {symbol} {period} 检测到 {count} 个转折点")
-        return count
-
-    def _normalize_timestamp(self, ts) -> str:
-        """标准化时间戳为字符串，用于排序比较"""
-        if isinstance(ts, datetime):
-            return ts.strftime("%Y-%m-%d %H:%M:%S")
-        return str(ts)
-
-    def get_pivots(self, symbol: str, period: str, direction: str = None,
-                   count: int = 50) -> List[Dict]:
-        """
-        获取转折点数据
-
-        Args:
-            symbol: 交易品种
-            period: 周期
-            direction: "high" 或 "low"，None表示全部
-            count: 返回数量
-
-        Returns:
-            转折点列表
-        """
-        with self._lock:
-            pivots = self._pivots[symbol][period]
-
-            if direction:
-                pivots = [p for p in pivots if p.direction == direction]
-
-            # 按时间排序，返回最新的
-            pivots = sorted(pivots, key=lambda x: str(x.timestamp), reverse=True)[:count]
-
-            return [p.to_dict() for p in pivots]
-
-    def get_recent_pivots(self, symbol: str, period: str, count: int = 10) -> List[Dict]:
-        """获取最近的转折点（按时间倒序）"""
-        with self._lock:
-            pivots = self._pivots[symbol][period]
-            pivots = sorted(pivots, key=lambda x: str(x.timestamp), reverse=True)[:count]
-            return [p.to_dict() for p in pivots]
-
-    def check_near_pivot(self, symbol: str, current_price: float,
-                         trend_filter: Dict[str, str] = None) -> List[Dict]:
-        """
-        检查当前价格是否接近某个转折点
-
-        Args:
-            symbol: 交易品种
-            current_price: 当前价格
-            trend_filter: 趋势过滤，格式 {period: "up"/"down"}
-                - "up": 趋势向上，只检查高点
-                - "down": 趋势向下，只检查低点
-                - 不提供或"unknown": 检查所有
-
-        Returns:
-            接近的转折点列表，包含距离信息
-
-        预警逻辑：
-        - 接近高点：当前价格 < 高点价格 且 距离在阈值范围内
-        - 接近低点：当前价格 > 低点价格 且 距离在阈值范围内
-        """
-        near_pivots = []
-
-        with self._lock:
-            for period in self._pivots[symbol]:
-                pivots = self._pivots[symbol][period]
-                threshold = self.THRESHOLDS.get(period, 0.001)
-
-                # 获取该周期的趋势方向
-                trend = trend_filter.get(period) if trend_filter else None
-
-                for pivot in pivots:
-                    if pivot.price == 0 or current_price == 0:
-                        continue
-
-                    # 根据趋势过滤
-                    if trend == 'up' and pivot.direction != 'high':
-                        # 趋势向上，只检查高点
-                        continue
-                    elif trend == 'down' and pivot.direction != 'low':
-                        # 趋势向下，只检查低点
-                        continue
-
-                    is_near = False
-                    alert_type = ""
-
-                    if pivot.direction == "high":
-                        # 高点转折：当前价格低于高点
-                        if current_price < pivot.price:
-                            distance_pct = (pivot.price - current_price) / current_price
-                            if distance_pct <= threshold:
-                                is_near = True
-                                alert_type = "near_high"
-
-                    elif pivot.direction == "low":
-                        # 低点转折：当前价格高于低点
-                        if current_price > pivot.price:
-                            distance_pct = (current_price - pivot.price) / current_price
-                            if distance_pct <= threshold:
-                                is_near = True
-                                alert_type = "near_low"
-
-                    if is_near:
-                        distance_pct = abs(current_price - pivot.price) / current_price
-                        near_pivots.append({
-                            **pivot.to_dict(),
-                            "current_price": current_price,
-                            "distance_pct": round(distance_pct * 100, 4),
-                            "threshold_pct": round(threshold * 100, 4),
-                            "distance": round(current_price - pivot.price, 2),
-                            "alert_type": alert_type,
-                            "trend": trend  # 记录趋势方向
-                        })
-
-        # 按距离排序，最近的优先
-        near_pivots.sort(key=lambda x: x['distance_pct'])
-
-        return near_pivots
-
-    def get_threshold(self, period: str) -> float:
-        """获取某个周期的接近阈值"""
-        return self.THRESHOLDS.get(period, 0.001)
-
-    def get_trend_direction(self, symbol: str, period: str = None) -> Dict[str, str]:
-        """
-        根据最近的转折点判断趋势方向
-
-        原理：
-        - 最近是高点 → 价格刚从高点下来 → 趋势向下 → 应检查低点
-        - 最近是低点 → 价格刚从低点上去 → 趋势向上 → 应检查高点
-
-        Args:
-            symbol: 交易品种
-            period: 指定周期，如果为None则判断所有周期
-
-        Returns:
-            {period: "up"/"down"/"unknown"}
-            - up: 趋势向上，应检查高点
-            - down: 趋势向下，应检查低点
-        """
-        result = {}
-
-        periods_to_check = [period] if period else list(self._pivots_timeline[symbol].keys())
-
-        with self._lock:
-            for p in periods_to_check:
-                timeline = self._pivots_timeline[symbol][p]
-
-                if not timeline:
-                    result[p] = 'unknown'
-                    continue
-
-                # 时间线已按时间排序，最后一个就是最近的转折点
-                latest_pivot = timeline[-1]
-
-                if latest_pivot.direction == 'high':
-                    # 最近是高点，价格往下走，趋势向下
-                    result[p] = 'down'
-                else:
-                    # 最近是低点，价格往上走，趋势向上
-                    result[p] = 'up'
-
-        return result
-
-    def clear_symbol(self, symbol: str):
-        """清除某个Symbol的转折点数据"""
-        with self._lock:
-            if symbol in self._pivots:
-                del self._pivots[symbol]
-            if symbol in self._pivots_timeline:
-                del self._pivots_timeline[symbol]
-
-    def get_status(self) -> Dict:
-        """获取状态"""
-        with self._lock:
-            status = {}
-            for symbol in self._pivots:
-                status[symbol] = {}
-                for period in self._pivots[symbol]:
-                    count = len(self._pivots[symbol][period])
-                    strength = self.PERIOD_STRENGTH.get(period, self.default_strength)
-                    status[symbol][period] = {
-                        "pivot_count": count,
-                        "strength": strength
-                    }
-            return status
-
-    def get_strength(self, period: str) -> int:
-        """获取某个周期的转折强度"""
-        return self.PERIOD_STRENGTH.get(period, self.default_strength)
\ No newline at end of file
diff --git a/market/position_store.py b/market/position_store.py
deleted file mode 100644
index ad79887..0000000
--- a/market/position_store.py
+++ /dev/null
@@ -1,198 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-持仓数据存储模块
-接收和存储EA上报的持仓数据
-"""
-
-from collections import defaultdict
-from datetime import datetime
-from typing import List, Dict, Optional
-import threading
-import json
-
-
-class PositionData:
-    """持仓数据结构"""
-
-    def __init__(self, ticket: int, symbol: str, volume: float, price_open: float,
-                 position_type: str, profit: float, distance_sl: float = 0,
-                 distance_tp: float = 0, sl: float = 0, tp: float = 0):
-        self.ticket = ticket
-        self.symbol = symbol
-        self.volume = volume
-        self.price_open = price_open
-        self.type = position_type  # "BUY" or "SELL"
-        self.profit = profit
-        self.distance_sl = distance_sl
-        self.distance_tp = distance_tp
-        self.sl = sl
-        self.tp = tp
-        self.updated_at = datetime.now()
-
-    def to_dict(self) -> Dict:
-        """转换为字典"""
-        return {
-            "ticket": self.ticket,
-            "symbol": self.symbol,
-            "volume": self.volume,
-            "price_open": self.price_open,
-            "type": self.type,
-            "profit": self.profit,
-            "distance_sl": self.distance_sl,
-            "distance_tp": self.distance_tp,
-            "sl": self.sl,
-            "tp": self.tp,
-            "updated_at": self.updated_at.isoformat()
-        }
-
-
-class PositionStore:
-    """持仓数据存储"""
-
-    def __init__(self):
-        # 存储结构: {SYMBOL: {TICKET: PositionData}}
-        self._positions = defaultdict(dict)
-        self._lock = threading.RLock()
-
-        # 最后更新时间
-        self._last_update_time = {}
-
-        print("[PositionStore] 持仓存储已初始化")
-
-    def update_positions(self, symbol: str, positions: List[Dict]) -> Dict:
-        """
-        更新持仓数据
-
-        Args:
-            symbol: 交易品种（上报的品种）
-            positions: 持仓列表，每个持仓包含symbol字段
-
-        Returns:
-            {"status": "ok", "count": N}
-        """
-        with self._lock:
-            # 上报的品种
-            report_symbol = symbol
-
-            # 获取当前品种的持仓ticket列表
-            current_tickets = set(self._positions[report_symbol].keys())
-            new_tickets = set()
-
-            total_count = 0
-            total_closed = 0
-
-            for pos in positions:
-                pos_symbol = pos.get('symbol', symbol)
-                ticket = pos.get('ticket')
-                if not ticket:
-                    continue
-
-                new_tickets.add(ticket)
-
-                position = PositionData(
-                    ticket=ticket,
-                    symbol=pos_symbol,
-                    volume=pos.get('volume', 0),
-                    price_open=pos.get('priceOpen', 0),
-                    position_type=pos.get('type', 'BUY'),
-                    profit=pos.get('profit', 0),
-                    distance_sl=pos.get('distanceSL', 0),
-                    distance_tp=pos.get('distanceTP', 0),
-                    sl=pos.get('sl', 0),
-                    tp=pos.get('tp', 0)
-                )
-                self._positions[pos_symbol][ticket] = position
-
-            # 删除已平仓的持仓（当前品种）
-            closed_tickets = current_tickets - new_tickets
-            for ticket in closed_tickets:
-                del self._positions[report_symbol][ticket]
-
-            # 更新最后更新时间
-            self._last_update_time[report_symbol] = datetime.now()
-
-            total_count = len(self._positions[report_symbol])
-            total_closed = len(closed_tickets)
-
-        print(f"[PositionStore] 更新持仓: {report_symbol}, {total_count} 个持仓, 平仓 {total_closed} 个")
-        return {"status": "ok", "count": total_count, "closed": total_closed}
-
-    def get_positions(self, symbol: str = None) -> List[Dict]:
-        """
-        获取持仓数据
-
-        Args:
-            symbol: 交易品种，None表示获取所有
-
-        Returns:
-            持仓列表
-        """
-        with self._lock:
-            if symbol:
-                positions = list(self._positions[symbol].values())
-            else:
-                positions = []
-                for sym in self._positions:
-                    positions.extend(self._positions[sym].values())
-
-            return [p.to_dict() for p in positions]
-
-    def get_position(self, symbol: str, ticket: int) -> Optional[Dict]:
-        """获取单个持仓"""
-        with self._lock:
-            pos = self._positions[symbol].get(ticket)
-            return pos.to_dict() if pos else None
-
-    def get_summary(self, symbol: str = None) -> Dict:
-        """
-        获取持仓汇总
-
-        Returns:
-            {
-                "total_count": 总持仓数,
-                "total_profit": 总盈亏,
-                "buy_count": 买单数,
-                "sell_count": 卖单数,
-                "positions": [...]
-            }
-        """
-        positions = self.get_positions(symbol)
-
-        total_profit = sum(p['profit'] for p in positions)
-        buy_count = sum(1 for p in positions if p['type'] == 'BUY')
-        sell_count = sum(1 for p in positions if p['type'] == 'SELL')
-
-        return {
-            "total_count": len(positions),
-            "total_profit": round(total_profit, 2),
-            "buy_count": buy_count,
-            "sell_count": sell_count,
-            "positions": positions,
-            "last_update": self._last_update_time.get(symbol, max(self._last_update_time.values()) if self._last_update_time else None)
-        }
-
-    def clear_symbol(self, symbol: str):
-        """清除某个品种的持仓数据"""
-        with self._lock:
-            if symbol in self._positions:
-                del self._positions[symbol]
-            if symbol in self._last_update_time:
-                del self._last_update_time[symbol]
-
-    def get_symbols(self) -> List[str]:
-        """获取所有有持仓的品种"""
-        with self._lock:
-            return [s for s in self._positions if self._positions[s]]
-
-
-# 全局单例
-_position_store = None
-
-
-def get_position_store() -> PositionStore:
-    """获取持仓存储单例"""
-    global _position_store
-    if _position_store is None:
-        _position_store = PositionStore()
-    return _position_store
\ No newline at end of file
diff --git a/market/services/__init__.py b/market/services/__init__.py
new file mode 100644
index 0000000..18cb9d1
--- /dev/null
+++ b/market/services/__init__.py
@@ -0,0 +1,36 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+服务模块
+"""
+
+from .kline_service import KlineService
+from .pivot_service import PivotService
+from .llm_service import LLMService
+from .tech_indicators import calculate_ma, calculate_adx, calculate_rsi, calculate_macd, calculate_bollinger_bands
+from .tech_service import TechService
+from .calendar_service import CalendarService
+from .flash_news_service import FlashNewsService
+from .pending_order_service import PendingOrderService
+from .trading_instruction_service import TradingInstructionService
+
+# 信号服务
+from .signal import SignalService, PivotSignalGenerator, KeyLevelSignalGenerator, AIEntrySignalGenerator
+
+# 策略服务
+from .strategy import StrategyService, RiskManager
+
+# 统计、持仓、交易历史服务
+from .statistics_service import StatisticsService
+from .position_service import PositionService
+from .trade_history_service import TradeHistoryService
+
+__all__ = [
+    'KlineService', 'PivotService', 'LLMService', 'TechService',
+    'CalendarService', 'FlashNewsService',
+    'PendingOrderService', 'TradingInstructionService',
+    'SignalService', 'PivotSignalGenerator', 'KeyLevelSignalGenerator', 'AIEntrySignalGenerator',
+    'StrategyService', 'RiskManager',
+    'StatisticsService', 'PositionService', 'TradeHistoryService',
+    'calculate_ma', 'calculate_adx', 'calculate_rsi', 'calculate_macd', 'calculate_bollinger_bands'
+]
\ No newline at end of file
diff --git a/market/services/calendar_service.py b/market/services/calendar_service.py
new file mode 100644
index 0000000..94b70bb
--- /dev/null
+++ b/market/services/calendar_service.py
@@ -0,0 +1,160 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+财经日历服务模块
+处理事件影响分析、提醒等业务逻辑
+"""
+
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional
+
+from ..models import CalendarEvent
+from ..store import CalendarStore
+from ..event_config import get_high_impact_event_names, DATA_IMPACT_RULES
+
+
+class CalendarService:
+    """财经日历服务（处理业务逻辑）"""
+
+    # 提醒时间（发布前多少秒）
+    REMINDER_SECONDS = 300  # 5分钟
+
+    def __init__(self, calendar_store: CalendarStore):
+        self.store = calendar_store
+
+        # 高影响事件名称
+        self._high_impact_names = get_high_impact_event_names()
+
+        print("[CalendarService] 财经日历服务已初始化")
+
+    # ==================== 事件查询 ====================
+
+    def get_calendar(self, date_str: str = None) -> List[Dict]:
+        """获取财经日历"""
+        return self.store.get_events(date_str)
+
+    def get_upcoming_events(self, hours: int = 24) -> List[Dict]:
+        """获取即将发布的重要事件"""
+        events = self.store.get_upcoming_events(hours)
+        return [e.to_dict() for e in events]
+
+    def get_event_by_id(self, event_id: str) -> Optional[CalendarEvent]:
+        """根据ID获取事件"""
+        return self.store.get_event_by_id(event_id)
+
+    # ==================== 事件提醒 ====================
+
+    def check_upcoming_reminders(self) -> List[CalendarEvent]:
+        """
+        检查即将发布的事件提醒
+
+        Returns:
+            需要提醒的事件列表
+        """
+        now = datetime.now()
+        reminders = []
+
+        events = self.store.get_upcoming_events(hours=1, min_importance=2)
+
+        for event in events:
+            if not event.publish_time:
+                continue
+
+            time_to_publish = (event.publish_time - now).total_seconds()
+
+            # 发布前5分钟内
+            if 0 < time_to_publish <= self.REMINDER_SECONDS:
+                reminder_key = f"{event.id}_reminder"
+
+                if not self.store.is_alerted(reminder_key):
+                    reminders.append(event)
+                    self.store.mark_alerted(reminder_key)
+
+        return reminders
+
+    # ==================== 影响分析 ====================
+
+    def analyze_event_impact(self, event: CalendarEvent) -> Dict:
+        """
+        分析事件对相关品种的影响
+
+        Args:
+            event: 事件对象
+
+        Returns:
+            影响分析结果 {symbol: {direction, reason}}
+        """
+        impact = {}
+
+        # 检查是否有结果
+        if not event.result or not event.actual:
+            return impact
+
+        for symbol in event.symbols:
+            # 查找影响规则
+            rules = DATA_IMPACT_RULES.get(symbol, {})
+            event_rules = rules.get(event.name) or rules.get(event.name_en)
+
+            if not event_rules:
+                continue
+
+            direction = event_rules.get(event.result)
+            reason_key = f"reason_{event.result}"
+            reason = event_rules.get(reason_key, "")
+
+            if direction:
+                impact[symbol] = {
+                    "direction": direction,
+                    "reason": reason,
+                    "event_name": event.name,
+                    "actual": event.actual,
+                    "forecast": event.forecast,
+                    "result": event.result
+                }
+
+        return impact
+
+    def update_event_result(self, event_id: str, actual: str, result: str) -> bool:
+        """
+        更新事件结果并分析影响
+
+        Args:
+            event_id: 事件ID
+            actual: 实际值
+            result: 结果类型 (better/worse/in_line)
+
+        Returns:
+            是否更新成功
+        """
+        event = self.store.get_event_by_id(event_id)
+        if not event:
+            return False
+
+        # 分析影响
+        event.actual = actual
+        event.result = result
+        impact = self.analyze_event_impact(event)
+
+        # 更新存储
+        return self.store.update_event_result(event_id, actual, result, impact)
+
+    # ==================== 高影响事件判断 ====================
+
+    def is_high_impact_event(self, event: CalendarEvent) -> bool:
+        """判断是否为高影响事件"""
+        if event.importance >= 3:
+            return True
+        if event.name in self._high_impact_names:
+            return True
+        if event.name_en in self._high_impact_names:
+            return True
+        return False
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "store_status": self.store.get_status(),
+            "high_impact_event_names": len(self._high_impact_names)
+        }
\ No newline at end of file
diff --git a/market/services/flash_news_service.py b/market/services/flash_news_service.py
new file mode 100644
index 0000000..9120dd0
--- /dev/null
+++ b/market/services/flash_news_service.py
@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+快讯服务模块
+处理快讯影响分析等业务逻辑
+"""
+
+from typing import Dict, List, Optional
+
+from ..models import FlashNews
+from ..store import FlashNewsStore
+from ..event_config import KEY_SPEAKERS, KEY_EVENTS, WATCH_SYMBOLS
+
+
+class FlashNewsService:
+    """快讯服务（处理业务逻辑）"""
+
+    def __init__(self, flash_news_store: FlashNewsStore):
+        self.store = flash_news_store
+
+        print("[FlashNewsService] 快讯服务已初始化")
+
+    # ==================== 快讯查询 ====================
+
+    def get_recent_news(self, count: int = 20) -> List[Dict]:
+        """获取最近快讯"""
+        return self.store.get_news(count)
+
+    def get_news_by_id(self, news_id: str) -> Optional[FlashNews]:
+        """根据ID获取快讯"""
+        return self.store.get_news_by_id(news_id)
+
+    # ==================== 影响分析 ====================
+
+    def analyze_news_impact(self, news: FlashNews) -> Dict:
+        """
+        分析快讯对市场的影响
+
+        Args:
+            news: 快讯对象
+
+        Returns:
+            {
+                "speaker": 发言人名称,
+                "speaker_title": 发言人职位,
+                "impact": {symbol: direction},
+                "topics": [相关话题]
+            }
+        """
+        result = {
+            "speaker": "",
+            "speaker_title": "",
+            "impact": {},
+            "topics": []
+        }
+
+        content = news.content.lower()
+
+        # 1. 检查关键人物讲话
+        for speaker_config in KEY_SPEAKERS:
+            keywords = speaker_config.get('keywords', [])
+            matched = False
+
+            for keyword in keywords:
+                if keyword.lower() in content:
+                    matched = True
+                    break
+
+            if matched:
+                result["speaker"] = speaker_config['name']
+                result["speaker_title"] = speaker_config['title']
+
+                # 分析关注话题
+                watch_topics = speaker_config.get('watch_topics', [])
+                impact_symbols = speaker_config.get('impact_symbols', [])
+                default_impact = speaker_config.get('default_impact', {})
+
+                for topic in watch_topics:
+                    if topic in content:
+                        result["topics"].append(topic)
+
+                        # 应用默认影响
+                        for symbol in impact_symbols:
+                            if symbol in default_impact:
+                                topic_impact = default_impact[symbol]
+                                if topic in topic_impact:
+                                    result["impact"][symbol] = {
+                                        "direction": topic_impact[topic],
+                                        "reason": f"{speaker_config['name']}提及{topic}"
+                                    }
+
+                break
+
+        # 2. 检查关键事件
+        for event_config in KEY_EVENTS:
+            watch_keywords = event_config.get('watch_keywords', [])
+            matched = False
+
+            for keyword in watch_keywords:
+                if keyword.lower() in content:
+                    matched = True
+                    break
+
+            if matched:
+                for symbol in event_config.get('symbols', []):
+                    if symbol not in result["impact"]:
+                        result["impact"][symbol] = {
+                            "direction": "不确定",
+                            "reason": f"{event_config['name']}相关新闻"
+                        }
+                break
+
+        return result
+
+    def process_news(self, news: FlashNews) -> Optional[Dict]:
+        """
+        处理快讯（分析影响并存储）
+
+        Args:
+            news: 快讯对象
+
+        Returns:
+            如果有影响则返回分析结果，否则返回None
+        """
+        # 分析影响
+        analysis = self.analyze_news_impact(news)
+
+        # 只处理有影响的快讯
+        if not analysis["impact"] and not analysis["speaker"]:
+            return None
+
+        # 更新快讯对象
+        news.speaker = analysis["speaker"]
+        news.speaker_title = analysis["speaker_title"]
+        news.impact = analysis["impact"]
+        news.analyzed = True
+        news.importance = 2 if analysis["speaker"] else 1
+
+        # 添加到存储
+        self.store.add_news(news)
+
+        return analysis
+
+    # ==================== 提醒状态 ====================
+
+    def should_alert(self, news_id: str) -> bool:
+        """
+        判断是否应该推送提醒
+
+        Args:
+            news_id: 快讯ID
+
+        Returns:
+            是否应该提醒
+        """
+        if self.store.is_alerted(news_id):
+            return False
+
+        self.store.mark_alerted(news_id)
+        return True
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "store_status": self.store.get_status()
+        }
\ No newline at end of file
diff --git a/market/services/kline_service.py b/market/services/kline_service.py
new file mode 100644
index 0000000..e2d098c
--- /dev/null
+++ b/market/services/kline_service.py
@@ -0,0 +1,259 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+K线服务模块
+处理K线相关的业务逻辑：时效性检查、连续性检查、格式转换等
+"""
+
+from datetime import datetime, timedelta
+from typing import List, Dict, Optional
+
+from ..store import KlineStore
+from ..models import KlineData
+
+
+class KlineService:
+    """K线服务（处理业务逻辑）"""
+
+    def __init__(self, store: KlineStore):
+        self.store = store
+
+    def process_kline_data(self, symbol: str, period: str, klines: List[Dict],
+                           is_full: bool = False) -> Dict:
+        """
+        处理K线数据（包含业务逻辑）
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            klines: K线数据列表
+            is_full: 是否为全量数据
+
+        Returns:
+            处理结果
+        """
+        period = period.upper()
+
+        # 保存数据
+        result = self.store.save_klines(symbol, period, klines, is_full)
+
+        return result
+
+    def check_staleness(self, symbol: str, period: str, klines: List[Dict],
+                        timezone_offset_hours: float = 0) -> Dict:
+        """
+        检查K线时效性
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            klines: K线数据
+            timezone_offset_hours: 时区偏移
+
+        Returns:
+            {
+                "is_stale": bool,
+                "latest_kline_time": datetime,
+                "kline_time_local": datetime,
+                "time_diff_seconds": int
+            }
+        """
+        if not klines:
+            return {"is_stale": False, "message": "无数据"}
+
+        period_interval = self.store.get_period_interval(period)
+        latest_kline = klines[-1] if klines else None
+
+        if not latest_kline:
+            return {"is_stale": False}
+
+        ts = latest_kline.get('timestamp') or latest_kline.get('time')
+        latest_kline_time = self._parse_timestamp(ts)
+
+        if not latest_kline_time:
+            return {"is_stale": False}
+
+        now_local = datetime.now()
+        kline_time_local = latest_kline_time - timedelta(hours=timezone_offset_hours)
+        time_diff = (now_local - kline_time_local).total_seconds()
+
+        return {
+            "is_stale": time_diff > period_interval,
+            "latest_kline_time": latest_kline_time,
+            "kline_time_local": kline_time_local,
+            "time_diff_seconds": int(time_diff),
+            "period_interval": period_interval
+        }
+
+    def check_continuity(self, symbol: str, period: str, new_klines: List[Dict]) -> Dict:
+        """
+        检查增量K线数据是否连续
+
+        Args:
+            symbol: 品种名称
+            period: 周期
+            new_klines: 新推送的K线数据列表
+
+        Returns:
+            {
+                "is_continuous": bool,
+                "gap_count": int,
+                "last_existing_time": datetime,
+                "first_new_time": datetime
+            }
+        """
+        period = period.upper()
+
+        if not new_klines:
+            return {"is_continuous": True, "gap_count": 0}
+
+        interval = self.store.get_period_interval(period)
+
+        existing = self.store.get_all_klines(symbol, period)
+        if not existing:
+            return {"is_continuous": True, "gap_count": 0}
+
+        # 获取现有数据最后时间
+        last_existing_time = self._parse_timestamp(
+            existing[-1].get('timestamp') or existing[-1].get('time')
+        )
+        if last_existing_time is None:
+            return {"is_continuous": True, "gap_count": 0}
+
+        # 获取新数据最早时间
+        first_new_time = None
+        for k in new_klines:
+            ts = self._parse_timestamp(k.get('timestamp') or k.get('time'))
+            if ts:
+                if first_new_time is None or ts < first_new_time:
+                    first_new_time = ts
+
+        if first_new_time is None:
+            return {"is_continuous": True, "gap_count": 0}
+
+        # 计算时间差
+        time_diff = (first_new_time - last_existing_time).total_seconds()
+
+        if time_diff <= 0:
+            return {
+                "is_continuous": True,
+                "gap_count": 0,
+                "last_existing_time": last_existing_time,
+                "first_new_time": first_new_time
+            }
+
+        gap_periods = int(time_diff / interval)
+
+        return {
+            "is_continuous": gap_periods <= 1,
+            "gap_count": max(0, gap_periods - 1),
+            "last_existing_time": last_existing_time,
+            "first_new_time": first_new_time,
+            "expected_gap": gap_periods
+        }
+
+    def convert_to_kline_objects(self, klines: List[Dict], symbol: str, period: str) -> List[KlineData]:
+        """
+        将K线字典列表转换为KlineData对象列表
+
+        Args:
+            klines: K线字典列表
+            symbol: 品种
+            period: 周期
+
+        Returns:
+            KlineData对象列表
+        """
+        return [
+            KlineData(
+                symbol=symbol,
+                period=period,
+                timestamp=k.get('timestamp') or k.get('time'),
+                open_price=float(k.get('open', 0)),
+                high=float(k.get('high', 0)),
+                low=float(k.get('low', 0)),
+                close=float(k.get('close', 0)),
+                volume=float(k.get('volume', 0))
+            )
+            for k in klines
+        ]
+
+    def get_klines(self, symbol: str, period: str, count: int = 100) -> List[Dict]:
+        """获取K线数据"""
+        return self.store.get_klines(symbol, period, count)
+
+    def get_all_klines(self, symbol: str, period: str) -> List[Dict]:
+        """获取所有K线数据"""
+        return self.store.get_all_klines(symbol, period)
+
+    def get_all_kline_objects(self, symbol: str, period: str) -> List[KlineData]:
+        """获取所有K线数据并转换为KlineData对象"""
+        klines = self.store.get_all_klines(symbol, period)
+        return self.convert_to_kline_objects(klines, symbol, period)
+
+    def get_latest_price(self, symbol: str) -> Optional[float]:
+        """获取最新价格"""
+        return self.store.get_latest_price(symbol)
+
+    def is_initialized(self, symbol: str, period: str) -> bool:
+        """检查是否已初始化"""
+        return self.store.is_initialized(symbol, period)
+
+    def get_symbols(self) -> List[str]:
+        """获取所有品种"""
+        return self.store.get_symbols()
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        return self.store.get_status()
+
+    def check_m1_updated_within(self, symbol: str, seconds: int = 180) -> Dict:
+        """检查M1数据更新情况"""
+        return self.store.check_m1_updated_within(symbol, seconds)
+
+    def get_period_interval(self, period: str) -> int:
+        """获取周期时间间隔"""
+        return self.store.get_period_interval(period)
+
+    def check_symbols_status(self, symbols: List[str], stale_threshold: int = 180) -> Dict[str, List[str]]:
+        """
+        检查多个品种的数据更新状态
+
+        Args:
+            symbols: 品种列表
+            stale_threshold: 过期阈值（秒），默认180秒（3分钟）
+
+        Returns:
+            {"active": [...], "stale": [...], "closed": [...]}
+            - active: 指定秒数内有数据更新
+            - stale: 超过指定秒数未更新
+            - closed: 无数据
+        """
+        result = {"active": [], "stale": [], "closed": []}
+
+        for symbol in symbols:
+            m1_status = self.store.check_m1_updated_within(symbol, stale_threshold)
+            market_status = m1_status.get("market_status", "closed")
+
+            if market_status == "active":
+                result["active"].append(symbol)
+            elif market_status == "stale":
+                result["stale"].append(symbol)
+            else:
+                result["closed"].append(symbol)
+
+        return result
+
+    def _parse_timestamp(self, ts) -> Optional[datetime]:
+        """解析时间戳"""
+        if ts is None:
+            return None
+        if isinstance(ts, datetime):
+            return ts
+        ts_str = str(ts)
+        for fmt in ["%Y-%m-%d %H:%M:%S", "%Y.%m.%d %H:%M", "%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M"]:
+            try:
+                return datetime.strptime(ts_str, fmt)
+            except:
+                continue
+        return None
\ No newline at end of file
diff --git a/market/services/llm_service.py b/market/services/llm_service.py
new file mode 100644
index 0000000..6dd1577
--- /dev/null
+++ b/market/services/llm_service.py
@@ -0,0 +1,453 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+LLM 服务模块
+处理 LLM 分析相关的业务逻辑
+"""
+
+import os
+import json
+import requests
+from datetime import datetime
+from typing import Dict, List, Optional
+
+from ..models import LLMConfig, LLMAnalysisResult
+from ..store import LLMStore
+from .kline_service import KlineService
+
+
+class LLMService:
+    """LLM 服务（处理业务逻辑）"""
+
+    # 分析间隔（秒）
+    ANALYZE_INTERVAL = 300  # 5分钟
+
+    # 各周期K线数量限制
+    KLINE_LIMITS = {
+        'H4': 20,
+        'H1': 24,
+        'M15': 32,
+        'M5': 48,
+        'M1': 60
+    }
+
+    # 数据过期阈值（秒）
+    STALE_THRESHOLD = 180  # 3分钟
+
+    def __init__(self, llm_store: LLMStore, kline_service: KlineService):
+        self.llm_store = llm_store
+        self.kline_service = kline_service
+
+        # 从环境变量补充配置
+        self._load_env_config()
+
+        print("[LLMService] LLM服务已初始化")
+
+    def _load_env_config(self):
+        """从环境变量加载配置"""
+        config = self.llm_store.get_config()
+
+        if not config.api_key and os.environ.get("LLM_API_KEY"):
+            self.llm_store.update_config(api_key=os.environ.get("LLM_API_KEY"))
+
+        if os.environ.get("LLM_API_BASE"):
+            self.llm_store.update_config(api_base=os.environ.get("LLM_API_BASE"))
+
+        if os.environ.get("LLM_MODEL"):
+            self.llm_store.update_config(model=os.environ.get("LLM_MODEL"))
+
+    # ==================== 配置管理 ====================
+
+    def get_config(self) -> Dict:
+        """获取配置"""
+        return self.llm_store.get_config().to_dict()
+
+    def configure(self, api_key: str = None, api_base: str = None, model: str = None) -> Dict:
+        """配置 LLM 参数"""
+        config = self.llm_store.update_config(api_key, api_base, model)
+        return {
+            "status": "ok",
+            "enabled": config.enabled,
+            "model": config.model,
+            "api_base": config.api_base
+        }
+
+    def is_enabled(self) -> bool:
+        """是否启用"""
+        return self.llm_store.get_config().enabled
+
+    # ==================== 数据收集 ====================
+
+    def collect_klines_for_analysis(self, symbols: List[str]) -> Dict[str, Dict]:
+        """
+        收集指定品种的K线数据用于分析
+
+        Returns:
+            {symbol: {period: [klines]}}
+        """
+        all_klines = {}
+
+        for symbol in symbols:
+            klines_data = {}
+            for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
+                limit = self.KLINE_LIMITS.get(period, 30)
+                klines = self.kline_service.get_klines(symbol, period, limit)
+                if klines:
+                    klines_data[period] = klines
+
+            if klines_data:
+                all_klines[symbol] = klines_data
+
+        return all_klines
+
+    # ==================== Prompt 构建 ====================
+
+    def build_analysis_prompt(self, all_klines: Dict[str, Dict]) -> str:
+        """构建分析提示词"""
+        prompt = """你是一位专业的金融分析师。请分析以下多个交易品种的K线数据，给出每个品种的趋势判断和交易建议。
+
+## 分析要求
+
+对于每个品种，请分析：
+1. 各周期（H4、H1、M15、M5、M1）的趋势判断，包含趋势类型、置信度(0-100)和判断理由
+2. 整体趋势方向、强度(0-100)和总结
+3. 关键支撑位和压力位（请根据K线数据自行判断，各列出3个）
+4. 交易建议：必须包含M1、M5、M15三个周期的具体交易建议
+
+趋势类型可选值：单边上涨、单边下跌、区间震荡、震荡上升、震荡下跌、震荡收窄、震荡扩大
+
+请按以下JSON格式输出（必须是有效的JSON格式，包含所有品种）：
+
+```json
+{
+  "品种1": {
+    "trend_analysis": {
+      "H4": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
+      "H1": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
+      "M15": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
+      "M5": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"},
+      "M1": {"trend": "趋势类型", "confidence": 置信度, "reason": "判断理由"}
+    },
+    "overall_trend": {
+      "direction": "整体趋势方向",
+      "strength": 强度,
+      "summary": "整体趋势总结"
+    },
+    "key_levels": {
+      "resistance": [压力位1, 压力位2, 压力位3],
+      "support": [支撑位1, 支撑位2, 支撑位3]
+    },
+    "trade_suggestions": [
+      {
+        "period": "M15",
+        "direction": "buy或sell",
+        "entry_price": 入场价格,
+        "stop_loss": 止损价格,
+        "take_profit": 止盈价格,
+        "reason": "交易理由"
+      }
+    ]
+  }
+}
+```
+
+## K线数据
+"""
+        # 添加各品种的K线数据
+        for symbol, klines_data in all_klines.items():
+            prompt += f"\n### {symbol}\n"
+            for period, klines in klines_data.items():
+                prompt += f"\n#### {period} 周期（{len(klines)}根K线）\n"
+                prompt += "| 时间 | 开盘 | 最高 | 最低 | 收盘 |\n"
+                prompt += "|------|------|------|------|------|\n"
+                for k in klines:
+                    prompt += f"| {k['timestamp']} | {k['open']:.2f} | {k['high']:.2f} | {k['low']:.2f} | {k['close']:.2f} |\n"
+
+        prompt += """
+
+请确保输出是纯JSON格式，不要有其他文字说明。每个品种的分析结果都要完整，trade_suggestions必须包含M1、M5、M15三个周期的建议。
+"""
+        return prompt
+
+    # ==================== LLM API 调用 ====================
+
+    def call_llm(self, prompt: str) -> Optional[Dict]:
+        """调用 LLM API（非流式）"""
+        config = self.llm_store.get_config()
+        if not config.api_key:
+            return None
+
+        try:
+            headers = {
+                "Authorization": f"Bearer {config.api_key}",
+                "Content-Type": "application/json"
+            }
+
+            data = {
+                "model": config.model,
+                "messages": [
+                    {"role": "system", "content": "你是一位专业的金融分析师，擅长技术分析和趋势判断。请用JSON格式输出分析结果，不要有任何额外的文字说明。"},
+                    {"role": "user", "content": prompt}
+                ],
+                "temperature": 0.3,
+                "max_tokens": 4000
+            }
+
+            response = requests.post(
+                f"{config.api_base}/chat/completions",
+                headers=headers,
+                json=data,
+                timeout=120
+            )
+
+            if response.status_code == 200:
+                result = response.json()
+                content = result["choices"][0]["message"]["content"]
+                return self._parse_llm_response(content)
+            else:
+                print(f"[LLMService] API调用失败: {response.status_code} - {response.text}")
+                return None
+
+        except Exception as e:
+            print(f"[LLMService] 调用异常: {e}")
+            return None
+
+    def call_llm_stream(self, prompt: str, on_chunk: callable = None) -> Optional[Dict]:
+        """
+        调用 LLM API（流式）
+
+        Args:
+            prompt: 提示词
+            on_chunk: 回调函数，参数为 (chunk_count, full_content)
+        """
+        config = self.llm_store.get_config()
+        if not config.api_key:
+            return None
+
+        try:
+            headers = {
+                "Authorization": f"Bearer {config.api_key}",
+                "Content-Type": "application/json"
+            }
+
+            data = {
+                "model": config.model,
+                "messages": [
+                    {"role": "system", "content": "你是一位专业的金融分析师，擅长技术分析和趋势判断。请用JSON格式输出分析结果，不要有任何额外的文字说明。"},
+                    {"role": "user", "content": prompt}
+                ],
+                "temperature": 0.3,
+                "max_tokens": 4000,
+                "stream": True
+            }
+
+            response = requests.post(
+                f"{config.api_base}/chat/completions",
+                headers=headers,
+                json=data,
+                timeout=120,
+                stream=True
+            )
+
+            if response.status_code != 200:
+                print(f"[LLMService] API调用失败: {response.status_code} - {response.text}")
+                return None
+
+            # 收集完整响应
+            full_content = ""
+            chunk_count = 0
+
+            for line in response.iter_lines():
+                if not line:
+                    continue
+
+                line = line.decode('utf-8')
+                if line.startswith('data: '):
+                    data_str = line[6:]
+                    if data_str == '[DONE]':
+                        break
+
+                    try:
+                        chunk_data = json.loads(data_str)
+                        if 'choices' in chunk_data and len(chunk_data['choices']) > 0:
+                            delta = chunk_data['choices'][0].get('delta', {})
+                            content_piece = delta.get('content', '')
+                            if content_piece:
+                                full_content += content_piece
+                                chunk_count += 1
+
+                                if on_chunk:
+                                    on_chunk(chunk_count, full_content)
+                    except json.JSONDecodeError:
+                        continue
+
+            print(f"[LLMService] 流式接收完成，共 {chunk_count} 个chunk，{len(full_content)} 字符")
+            return self._parse_llm_response(full_content)
+
+        except Exception as e:
+            print(f"[LLMService] 流式调用异常: {e}")
+            return None
+
+    def _parse_llm_response(self, content: str) -> Optional[Dict]:
+        """解析 LLM 响应"""
+        try:
+            # 提取JSON部分
+            if "```json" in content:
+                content = content.split("```json")[1].split("```")[0]
+            elif "```" in content:
+                content = content.split("```")[1].split("```")[0]
+
+            return json.loads(content.strip())
+        except json.JSONDecodeError as e:
+            print(f"[LLMService] JSON解析失败: {e}")
+            return None
+
+    # ==================== 入场价检测 ====================
+
+    def check_entry_price_nearby(self, symbol: str, current_price: float,
+                                  threshold: float = 0.0001) -> List[Dict]:
+        """
+        检查当前价格是否接近 AI 建议的入场价
+
+        Args:
+            symbol: 交易品种
+            current_price: 当前价格
+            threshold: 价格接近阈值，默认万分之一
+
+        Returns:
+            匹配的交易建议列表
+        """
+        matched = []
+
+        result = self.llm_store.get_analysis_result(symbol)
+        if not result or not result.trade_suggestions:
+            return matched
+
+        for suggestion in result.trade_suggestions:
+            entry_price = suggestion.get('entry_price')
+            period = suggestion.get('period')
+            direction = suggestion.get('direction')
+            stop_loss = suggestion.get('stop_loss')
+            take_profit = suggestion.get('take_profit')
+
+            if not entry_price or entry_price <= 0:
+                continue
+
+            # 验证止损止盈
+            if not stop_loss or not take_profit or stop_loss <= 0 or take_profit <= 0:
+                print(f"[LLMService] 跳过无效建议: {period} sl={stop_loss}, tp={take_profit}")
+                continue
+
+            price_diff_pct = abs(current_price - entry_price) / entry_price
+
+            if price_diff_pct <= threshold:
+                # 检查冷却
+                can_alert = self.llm_store.check_entry_alert_cooldown(
+                    symbol, period, direction, entry_price
+                )
+
+                if can_alert:
+                    matched.append({
+                        "symbol": symbol,
+                        "period": period,
+                        "direction": direction,
+                        "entry_price": entry_price,
+                        "current_price": current_price,
+                        "price_diff_pct": round(price_diff_pct * 100, 4),
+                        "stop_loss": stop_loss,
+                        "take_profit": take_profit,
+                        "reason": suggestion.get('reason'),
+                        "analyzed_at": result.analyzed_at
+                    })
+                    print(f"[LLMService] 价格接近AI入场价: {symbol} {period} "
+                          f"入场价 {entry_price:.2f}, 当前价 {current_price:.2f}")
+
+        # 清理过期记录
+        self.llm_store.cleanup_entry_alerts()
+
+        return matched
+
+    # ==================== 分析执行 ====================
+
+    def run_analysis(self, on_status: callable = None, on_complete: callable = None) -> Dict:
+        """
+        执行分析
+
+        Args:
+            on_status: 状态回调
+            on_complete: 完成回调
+
+        Returns:
+            分析结果
+        """
+        if not self.is_enabled():
+            return {"status": "error", "message": "LLM 未启用"}
+
+        # 获取品种列表
+        symbols = self.kline_service.get_symbols()
+        if not symbols:
+            if on_status:
+                on_status("error", "没有品种数据")
+            return {"status": "error", "message": "没有品种数据"}
+
+        if on_status:
+            on_status("analyzing", f"正在检查 {len(symbols)} 个品种...")
+
+        # 检查数据状态
+        status = self.kline_service.check_symbols_status(symbols, self.STALE_THRESHOLD)
+        active_symbols = status["active"]
+
+        # 更新过期和休市品种状态
+        for symbol in status["stale"]:
+            self.llm_store.update_market_status(symbol, "stale", data_stale=True)
+        for symbol in status["closed"]:
+            self.llm_store.update_market_status(symbol, "closed", data_stale=True)
+
+        if not active_symbols:
+            if on_status:
+                on_status("stale", "所有品种数据均未更新")
+            return {"status": "ok", "message": "所有品种数据均未更新"}
+
+        if on_status:
+            on_status("analyzing", f"正在分析 {len(active_symbols)} 个品种...")
+
+        # 收集K线数据
+        all_klines = self.collect_klines_for_analysis(active_symbols)
+        if not all_klines:
+            if on_status:
+                on_status("error", "无K线数据可分析")
+            return {"status": "error", "message": "无K线数据可分析"}
+
+        # 构建提示词
+        prompt = self.build_analysis_prompt(all_klines)
+
+        # 调用 LLM
+        def on_chunk(count, content):
+            if on_status and count % 50 == 0:
+                on_status("streaming", f"正在接收分析结果... ({len(content)} 字符)")
+
+        response = self.call_llm_stream(prompt, on_chunk)
+
+        # 保存结果
+        if response:
+            for symbol, analysis in response.items():
+                if isinstance(analysis, dict):
+                    self.llm_store.save_analysis_dict(symbol, analysis)
+
+        if on_complete:
+            on_complete(response)
+
+        return {
+            "status": "ok",
+            "analyzed_symbols": list(response.keys()) if response else []
+        }
+
+    # ==================== 查询 ====================
+
+    def get_analysis(self, symbol: str = None) -> Dict:
+        """获取分析结果"""
+        return self.llm_store.get_analysis(symbol)
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        return self.llm_store.get_status()
\ No newline at end of file
diff --git a/market/services/pending_order_service.py b/market/services/pending_order_service.py
new file mode 100644
index 0000000..f8019ce
--- /dev/null
+++ b/market/services/pending_order_service.py
@@ -0,0 +1,175 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+待确认订单服务模块
+"""
+
+from typing import List, Dict, Optional, Callable
+from datetime import datetime
+import threading
+
+from ..models import PendingOrder
+from ..store import PendingOrderStore
+
+
+class PendingOrderService:
+    """待确认订单服务（处理业务逻辑）"""
+
+    def __init__(self, pending_order_store: PendingOrderStore = None):
+        self.store = pending_order_store or PendingOrderStore()
+
+        # 订单确认回调（确认后将指令加入交易队列）
+        self._confirm_callback: Optional[Callable] = None
+
+        # 启动超时清理线程
+        self._start_cleanup_thread()
+
+        print("[PendingOrderService] 待确认订单服务已初始化")
+
+    def set_confirm_callback(self, callback: Callable):
+        """
+        设置订单确认回调函数
+
+        回调签名: callback(order: PendingOrder) -> None
+        """
+        self._confirm_callback = callback
+
+    def _start_cleanup_thread(self):
+        """启动超时清理线程"""
+        def cleanup_loop():
+            while True:
+                try:
+                    expired = self.store.cleanup_expired()
+                    for order in expired:
+                        print(f"[PendingOrderService] 订单超时自动移除: {order.order_id}")
+                except Exception as e:
+                    print(f"[PendingOrderService] 清理线程异常: {e}")
+                threading.Event().wait(10)  # 每10秒检查一次
+
+        thread = threading.Thread(target=cleanup_loop, daemon=True)
+        thread.start()
+
+    # ==================== 创建订单 ====================
+
+    def create_order(self, symbol: str, action: str, price: float,
+                     mount: float, sl: float, tp: float,
+                     reason: str = "", description: str = "",
+                     source: str = "", **kwargs) -> str:
+        """
+        创建待确认订单
+
+        Args:
+            symbol: 品种
+            action: 方向 (b/s)
+            price: 入场价
+            mount: 手数
+            sl: 止损
+            tp: 止盈
+            reason: 原因
+            description: 描述
+            source: 来源
+            **kwargs: 其他字段（pivot_price, key_level, ai_period等）
+
+        Returns:
+            订单ID
+        """
+        order = PendingOrder(
+            symbol=symbol,
+            action=action,
+            price=price,
+            mount=mount,
+            sl=sl,
+            tp=tp,
+            reason=reason,
+            description=description,
+            source=source,
+            **kwargs
+        )
+        return self.store.add_order(order)
+
+    def create_order_from_dict(self, data: Dict) -> str:
+        """从字典创建订单"""
+        return self.store.add_order_from_dict(data)
+
+    # ==================== 查询订单 ====================
+
+    def get_order(self, order_id: str) -> Optional[PendingOrder]:
+        """获取订单"""
+        return self.store.get_order_by_id(order_id)
+
+    def get_orders(self, symbol: str = None) -> List[PendingOrder]:
+        """获取订单列表"""
+        return self.store.get_pending_orders(symbol)
+
+    def get_orders_dict(self, symbol: str = None) -> List[Dict]:
+        """获取订单字典列表"""
+        return self.store.get_pending_orders_dict(symbol)
+
+    # 兼容旧方法名
+    def get_pending_orders_dict(self, symbol: str = None) -> List[Dict]:
+        """获取订单字典列表（兼容旧方法名）"""
+        return self.get_orders_dict(symbol)
+
+    def get_pending_count(self, symbol: str = None) -> int:
+        """获取待确认订单数量"""
+        return self.store.get_pending_count(symbol)
+
+    # ==================== 确认/拒绝订单 ====================
+
+    def confirm_order(self, order_id: str, updates: Dict = None) -> Optional[PendingOrder]:
+        """
+        确认订单
+
+        Args:
+            order_id: 订单ID
+            updates: 更新字段（如 mount, sl, tp）
+
+        Returns:
+            确认后的订单
+        """
+        # 先获取订单
+        order = self.store.get_order_by_id(order_id)
+        if not order:
+            return None
+
+        # 应用更新
+        if updates:
+            if 'mount' in updates:
+                order.mount = updates['mount']
+            if 'sl' in updates:
+                order.sl = updates['sl']
+            if 'tp' in updates:
+                order.tp = updates['tp']
+
+        # 确认订单（从存储中移除）
+        confirmed_order = self.store.confirm_order(order_id)
+        if not confirmed_order:
+            return None
+
+        # 调用确认回调
+        if self._confirm_callback:
+            try:
+                self._confirm_callback(confirmed_order)
+            except Exception as e:
+                print(f"[PendingOrderService] 确认回调执行失败: {e}")
+
+        return confirmed_order
+
+    def reject_order(self, order_id: str) -> Optional[PendingOrder]:
+        """拒绝订单"""
+        return self.store.reject_order(order_id)
+
+    # ==================== 清理 ====================
+
+    def clear_all(self) -> int:
+        """清空所有待确认订单"""
+        return self.store.clear_all()
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "store": self.store.get_status(),
+            "callback_set": self._confirm_callback is not None,
+        }
\ No newline at end of file
diff --git a/market/services/pivot_service.py b/market/services/pivot_service.py
new file mode 100644
index 0000000..6d18d0a
--- /dev/null
+++ b/market/services/pivot_service.py
@@ -0,0 +1,322 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+转折点服务模块
+处理转折点相关的业务逻辑：检测、合并、接近检测等
+"""
+
+from collections import defaultdict
+from datetime import datetime
+from typing import List, Dict, Optional
+import threading
+
+from ..models import KlineData, PivotPoint
+from ..store import KlineStore, PivotStore
+
+
+class PivotService:
+    """转折点服务（处理业务逻辑）"""
+
+    # 各周期接近阈值（千分比）
+    THRESHOLDS = {
+        'H4': 0.0015,   # 千分之1.5
+        'H1': 0.0015,   # 千分之1.5
+        'M15': 0.0015,  # 千分之1.5
+        'M5': 0.0005,   # 千分之0.5
+        'M1': 0.0002    # 千分之0.2
+    }
+
+    # 各周期转折强度（左右各N根K线）
+    PERIOD_STRENGTH = {
+        'M1': 6,
+        'M5': 4,
+        'M15': 3,
+        'H1': 3,
+        'H4': 3
+    }
+
+    def __init__(self, pivot_store: PivotStore, kline_store: KlineStore):
+        self.pivot_store = pivot_store
+        self.kline_store = kline_store
+        self.default_strength = 3
+
+        print("[PivotService] 转折点服务已初始化")
+        print(f"[PivotService] 周期强度配置: {self.PERIOD_STRENGTH}")
+
+    def detect_pivots(self, symbol: str, period: str, klines: List[KlineData],
+                      strength: int = None) -> List[PivotPoint]:
+        """
+        检测转折点
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            klines: K线数据列表
+            strength: 转折强度，None则使用周期默认值
+
+        Returns:
+            检测到的转折点列表
+        """
+        if strength is None:
+            strength = self.PERIOD_STRENGTH.get(period, self.default_strength)
+
+        if len(klines) < 2 * strength + 1:
+            return []
+
+        pivots = []
+
+        for i in range(strength, len(klines) - strength):
+            current = klines[i]
+
+            # 检查是否为高点（顶分型）
+            is_high = True
+            for j in range(1, strength + 1):
+                if klines[i - j].high >= current.high or klines[i + j].high >= current.high:
+                    is_high = False
+                    break
+
+            if is_high:
+                pivot = PivotPoint(
+                    symbol=symbol,
+                    period=period,
+                    timestamp=current.timestamp,
+                    price=current.high,
+                    direction="high",
+                    strength=strength
+                )
+                pivots.append(pivot)
+
+            # 检查是否为低点（底分型）
+            is_low = True
+            for j in range(1, strength + 1):
+                if klines[i - j].low <= current.low or klines[i + j].low <= current.low:
+                    is_low = False
+                    break
+
+            if is_low:
+                pivot = PivotPoint(
+                    symbol=symbol,
+                    period=period,
+                    timestamp=current.timestamp,
+                    price=current.low,
+                    direction="low",
+                    strength=strength
+                )
+                pivots.append(pivot)
+
+        return pivots
+
+    def merge_pivots(self, pivots: List[PivotPoint]) -> List[PivotPoint]:
+        """
+        合并相近的转折点
+
+        合并规则：相邻两个同方向转折点价格差距小于万分之四时合并
+        """
+        if len(pivots) < 2:
+            return pivots
+
+        high_pivots = [p for p in pivots if p.direction == "high"]
+        low_pivots = [p for p in pivots if p.direction == "low"]
+
+        merged_highs = self._merge_same_direction(high_pivots, "high")
+        merged_lows = self._merge_same_direction(low_pivots, "low")
+
+        return merged_highs + merged_lows
+
+    def _merge_same_direction(self, pivots: List[PivotPoint], direction: str) -> List[PivotPoint]:
+        """合并同方向的转折点"""
+        if len(pivots) < 2:
+            return pivots
+
+        pivots = sorted(pivots, key=lambda p: str(p.timestamp))
+
+        merged = []
+        i = 0
+
+        while i < len(pivots):
+            current = pivots[i]
+            group = [current]
+
+            j = i + 1
+            while j < len(pivots):
+                next_pivot = pivots[j]
+
+                if current.price > 0:
+                    price_diff_pct = abs(next_pivot.price - current.price) / current.price
+                    if price_diff_pct <= 0.0004:
+                        group.append(next_pivot)
+                        j += 1
+                        continue
+
+                break
+
+            if direction == "high":
+                best = max(group, key=lambda p: p.price)
+            else:
+                best = min(group, key=lambda p: p.price)
+
+            merged.append(best)
+            i = j
+
+        return merged
+
+    def update_pivots(self, symbol: str, period: str, klines: List[KlineData],
+                      strength: int = None) -> int:
+        """
+        更新转折点数据
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            klines: K线数据列表
+            strength: 转折强度
+
+        Returns:
+            更新后的转折点数量
+        """
+        if strength is None:
+            strength = self.PERIOD_STRENGTH.get(period, self.default_strength)
+
+        pivots = self.detect_pivots(symbol, period, klines, strength)
+
+        # 保存原始转折点到时间线
+        timeline = sorted(pivots, key=lambda p: self._normalize_timestamp(p.timestamp))
+
+        # 合并相近的转折点
+        merged_pivots = self.merge_pivots(pivots)
+
+        # 存储到 pivot_store
+        self.pivot_store.save_pivots(symbol, period, merged_pivots, timeline)
+
+        original_count = len(pivots)
+        count = len(merged_pivots)
+
+        if original_count != count:
+            print(f"[PivotService] {symbol} {period} 检测到 {original_count} 个转折点，合并后 {count} 个")
+        else:
+            print(f"[PivotService] {symbol} {period} 检测到 {count} 个转折点")
+
+        return count
+
+    def check_near_pivot(self, symbol: str, current_price: float,
+                         trend_filter: Dict[str, str] = None) -> List[Dict]:
+        """
+        检查当前价格是否接近某个转折点
+
+        Args:
+            symbol: 交易品种
+            current_price: 当前价格
+            trend_filter: 趋势过滤
+
+        Returns:
+            接近的转折点列表
+        """
+        near_pivots = []
+
+        periods = self.pivot_store.get_all_periods(symbol)
+
+        for period in periods:
+            pivots = self.pivot_store.get_pivot_objects(symbol, period)
+            threshold = self.THRESHOLDS.get(period, 0.001)
+
+            trend = trend_filter.get(period) if trend_filter else None
+
+            for pivot in pivots:
+                if pivot.price == 0 or current_price == 0:
+                    continue
+
+                if trend == 'up' and pivot.direction != 'high':
+                    continue
+                elif trend == 'down' and pivot.direction != 'low':
+                    continue
+
+                is_near = False
+                alert_type = ""
+
+                if pivot.direction == "high":
+                    if current_price < pivot.price:
+                        distance_pct = (pivot.price - current_price) / current_price
+                        if distance_pct <= threshold:
+                            is_near = True
+                            alert_type = "near_high"
+
+                elif pivot.direction == "low":
+                    if current_price > pivot.price:
+                        distance_pct = (current_price - pivot.price) / current_price
+                        if distance_pct <= threshold:
+                            is_near = True
+                            alert_type = "near_low"
+
+                if is_near:
+                    distance_pct = abs(current_price - pivot.price) / current_price
+                    near_pivots.append({
+                        **pivot.to_dict(),
+                        "current_price": current_price,
+                        "distance_pct": round(distance_pct * 100, 4),
+                        "threshold_pct": round(threshold * 100, 4),
+                        "distance": round(current_price - pivot.price, 2),
+                        "alert_type": alert_type,
+                        "trend": trend
+                    })
+
+        near_pivots.sort(key=lambda x: x['distance_pct'])
+        return near_pivots
+
+    def get_trend_direction(self, symbol: str, period: str = None) -> Dict[str, str]:
+        """
+        根据最近的转折点判断趋势方向
+
+        Returns:
+            {period: "up"/"down"/"unknown"}
+        """
+        result = {}
+
+        periods_to_check = [period] if period else self.pivot_store.get_all_periods(symbol)
+
+        for p in periods_to_check:
+            timeline = self.pivot_store.get_timeline(symbol, p)
+
+            if not timeline:
+                result[p] = 'unknown'
+                continue
+
+            latest_pivot = timeline[-1]
+
+            if latest_pivot.direction == 'high':
+                result[p] = 'down'
+            else:
+                result[p] = 'up'
+
+        return result
+
+    def get_pivots(self, symbol: str, period: str, direction: str = None,
+                   count: int = 50) -> List[Dict]:
+        """获取转折点数据"""
+        return self.pivot_store.get_pivots(symbol, period, direction, count)
+
+    def find_nearest_pivot_price(self, symbol: str, direction: str,
+                                  current_price: float) -> Optional[float]:
+        """找到离当前价格最近的转折点价格"""
+        return self.pivot_store.find_nearest_pivot_price(symbol, direction, current_price)
+
+    def get_threshold(self, period: str) -> float:
+        """获取某个周期的接近阈值"""
+        return self.THRESHOLDS.get(period, 0.001)
+
+    def get_strength(self, period: str) -> int:
+        """获取某个周期的转折强度"""
+        return self.PERIOD_STRENGTH.get(period, self.default_strength)
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        return self.pivot_store.get_status()
+
+    def clear_symbol(self, symbol: str):
+        """清除某个Symbol的转折点数据"""
+        self.pivot_store.clear_symbol(symbol)
+
+    def _normalize_timestamp(self, ts) -> str:
+        """标准化时间戳"""
+        if isinstance(ts, datetime):
+            return ts.strftime("%Y-%m-%d %H:%M:%S")
+        return str(ts)
\ No newline at end of file
diff --git a/market/services/position_service.py b/market/services/position_service.py
new file mode 100644
index 0000000..695c1ec
--- /dev/null
+++ b/market/services/position_service.py
@@ -0,0 +1,79 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+持仓数据服务模块
+"""
+
+from typing import Dict, Optional, List
+
+from ..models.position import PositionData
+from ..store.position_store import PositionStore
+
+
+class PositionService:
+    """
+    持仓数据服务
+
+    功能：
+    1. 处理EA上报的持仓数据
+    2. 查询持仓信息
+    3. 为风险管理提供持仓数据
+    """
+
+    def __init__(self, store: PositionStore = None):
+        self.store = store or PositionStore()
+
+    def update_positions(self, symbol: str, positions_data: List[Dict]) -> Dict:
+        """
+        更新持仓数据
+
+        Args:
+            symbol: 品种
+            positions_data: EA上报的持仓数据列表
+
+        Returns:
+            {"status": "ok", "count": N, "closed": M}
+        """
+        positions = [
+            PositionData.from_ea_data(data, symbol)
+            for data in positions_data
+        ]
+        return self.store.update(symbol, positions)
+
+    def get_positions(self, symbol: str = None) -> List[Dict]:
+        """获取持仓数据（字典格式）"""
+        return self.store.get_dict(symbol)
+
+    def get_position_objects(self, symbol: str = None) -> List[PositionData]:
+        """获取持仓数据（对象格式）"""
+        return self.store.get(symbol)
+
+    def get_position(self, symbol: str, ticket: int) -> Optional[Dict]:
+        """获取单个持仓"""
+        pos = self.store.get_by_ticket(symbol, ticket)
+        return pos.to_dict() if pos else None
+
+    def get_position_count(self, symbol: str) -> int:
+        """获取持仓数量"""
+        return self.store.get_count(symbol)
+
+    def get_same_direction_count(self, symbol: str, direction: str) -> int:
+        """获取同向持仓数量"""
+        return self.store.get_count_by_direction(symbol, direction)
+
+    def get_opposite_direction_count(self, symbol: str, direction: str) -> int:
+        """获取反向持仓数量"""
+        opposite = "sell" if direction.lower() == "buy" else "buy"
+        return self.store.get_count_by_direction(symbol, opposite)
+
+    def get_summary(self, symbol: str = None) -> Dict:
+        """获取持仓汇总"""
+        return self.store.get_summary(symbol)
+
+    def get_symbols(self) -> List[str]:
+        """获取所有有持仓的品种"""
+        return self.store.get_symbols()
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return self.store.get_status()
\ No newline at end of file
diff --git a/market/services/signal/__init__.py b/market/services/signal/__init__.py
new file mode 100644
index 0000000..8ae3d36
--- /dev/null
+++ b/market/services/signal/__init__.py
@@ -0,0 +1,17 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+信号生成器模块
+"""
+
+from .signal_service import SignalService
+from .pivot_signal import PivotSignalGenerator
+from .key_level_signal import KeyLevelSignalGenerator
+from .ai_entry_signal import AIEntrySignalGenerator
+
+__all__ = [
+    'SignalService',
+    'PivotSignalGenerator',
+    'KeyLevelSignalGenerator',
+    'AIEntrySignalGenerator',
+]
\ No newline at end of file
diff --git a/market/services/signal/ai_entry_signal.py b/market/services/signal/ai_entry_signal.py
new file mode 100644
index 0000000..cba7a69
--- /dev/null
+++ b/market/services/signal/ai_entry_signal.py
@@ -0,0 +1,212 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+AI入场信号生成器
+根据AI分析生成交易信号
+"""
+
+from typing import Optional, List, Dict
+from datetime import datetime
+
+from ...models import TradingSignal, SignalSource
+
+
+class AIEntrySignalGenerator:
+    """AI入场信号生成器"""
+
+    def __init__(self):
+        # LLM分析器引用
+        self._llm_analyzer = None
+
+        # 阈值（价格距离AI入场价的百分比）
+        self.threshold = 0.0001  # 万分之一
+
+        # 信号冷却时间（秒）
+        self.cooldown = 300  # 5分钟
+
+        # 冷却记录
+        self._signal_cooldowns: Dict[str, datetime] = {}
+
+        print("[AIEntrySignalGenerator] AI入场信号生成器已初始化")
+
+    def set_llm_analyzer(self, analyzer) -> None:
+        """设置LLM分析器"""
+        self._llm_analyzer = analyzer
+
+    def _check_cooldown(self, symbol: str, period: str, entry_price: float, direction: str) -> bool:
+        """检查是否在冷却期"""
+        key = f"{symbol}_{period}_{entry_price}_{direction}"
+        if key in self._signal_cooldowns:
+            last_time = self._signal_cooldowns[key]
+            elapsed = (datetime.now() - last_time).total_seconds()
+            return elapsed < self.cooldown
+        return False
+
+    def _set_cooldown(self, symbol: str, period: str, entry_price: float, direction: str) -> None:
+        """设置冷却"""
+        key = f"{symbol}_{period}_{entry_price}_{direction}"
+        self._signal_cooldowns[key] = datetime.now()
+
+    def generate_signal(self, symbol: str, current_price: float) -> Optional[TradingSignal]:
+        """
+        生成AI入场信号
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格
+
+        Returns:
+            TradingSignal 或 None
+        """
+        if not self._llm_analyzer:
+            return None
+
+        # 检查价格是否接近AI入场价
+        matches = self._llm_analyzer.check_entry_price_nearby(
+            symbol, current_price, threshold=self.threshold
+        )
+
+        if not matches:
+            return None
+
+        # 使用第一个匹配
+        match = matches[0]
+        period = match.get('period', '')
+        entry_price = match.get('entry_price', 0)
+        direction = match.get('direction', 'buy')
+        sl = match.get('stop_loss', 0)
+        tp = match.get('take_profit', 0)
+        reason = match.get('reason', '')
+
+        # 检查冷却
+        if self._check_cooldown(symbol, period, entry_price, direction):
+            return None
+
+        # 设置冷却
+        self._set_cooldown(symbol, period, entry_price, direction)
+
+        # 确定方向
+        action = "buy" if direction == "buy" else "sell"
+
+        # 验证止损止盈
+        if not sl or not tp or sl <= 0 or tp <= 0:
+            print(f"[AIEntrySignalGenerator] 跳过无效信号: sl={sl}, tp={tp}")
+            return None
+
+        # 验证止损方向
+        if action == "buy" and sl >= current_price:
+            print(f"[AIEntrySignalGenerator] 买入止损无效: sl={sl} >= price={current_price}")
+            return None
+        if action == "sell" and sl <= current_price:
+            print(f"[AIEntrySignalGenerator] 卖出止损无效: sl={sl} <= price={current_price}")
+            return None
+
+        # 计算风险回报比
+        risk = abs(current_price - sl) if sl else 0
+        reward = abs(tp - current_price) if tp else 0
+        rr_ratio = reward / risk if risk > 0 else 0
+
+        # 验证风险回报比
+        if rr_ratio < 1.0:
+            print(f"[AIEntrySignalGenerator] 风险回报比过低: {rr_ratio:.2f}, 跳过信号")
+            return None
+
+        # 验证止损点数（最大为价格的 2%）
+        max_risk = current_price * 0.02
+        if risk > max_risk:
+            print(f"[AIEntrySignalGenerator] 止损点数过大: {risk:.2f} > {max_risk:.2f}, 跳过信号")
+            return None
+
+        print(f"[AIEntrySignalGenerator] 生成信号: {action} @ {current_price:.2f}, SL={sl:.2f}, TP={tp:.2f}, risk={risk:.2f}, rr={rr_ratio:.2f}")
+
+        # 创建信号
+        signal = TradingSignal(
+            symbol=symbol,
+            action=action,
+            confidence=75,  # AI信号置信度较高
+            source=SignalSource.AI_ENTRY,
+            source_period=period,
+            trigger_price=current_price,
+            trigger_reason=f"AI建议入场: {reason}",
+            suggested_entry=current_price,
+            suggested_sl=sl,
+            suggested_tp=tp,
+            risk_reward_ratio=round(rr_ratio, 2),
+            ai_analysis_period=period,
+        )
+
+        print(f"[AIEntrySignalGenerator] 生成信号: {signal.signal_id} {action} @ {current_price}, AI入场价={entry_price}")
+        return signal
+
+    def generate_signals(self, symbol: str, current_price: float) -> List[TradingSignal]:
+        """生成所有匹配的信号"""
+        if not self._llm_analyzer:
+            return []
+
+        signals = []
+        matches = self._llm_analyzer.check_entry_price_nearby(
+            symbol, current_price, threshold=self.threshold
+        )
+
+        for match in matches:
+            period = match.get('period', '')
+            entry_price = match.get('entry_price', 0)
+            direction = match.get('direction', 'buy')
+            sl = match.get('stop_loss', 0)
+            tp = match.get('take_profit', 0)
+            reason = match.get('reason', '')
+
+            # 检查冷却
+            if self._check_cooldown(symbol, period, entry_price, direction):
+                continue
+
+            # 设置冷却
+            self._set_cooldown(symbol, period, entry_price, direction)
+
+            action = "buy" if direction == "buy" else "sell"
+
+            # 验证止损止盈
+            if not sl or not tp or sl <= 0 or tp <= 0:
+                print(f"[AIEntrySignalGenerator] 跳过无效信号: sl={sl}, tp={tp}")
+                continue
+
+            # 验证止损方向
+            if action == "buy" and sl >= current_price:
+                continue
+            if action == "sell" and sl <= current_price:
+                continue
+
+            risk = abs(current_price - sl) if sl else 0
+            reward = abs(tp - current_price) if tp else 0
+            rr_ratio = reward / risk if risk > 0 else 0
+
+            # 验证风险回报比
+            if rr_ratio < 1.0:
+                continue
+
+            # 验证止损点数（最大为价格的 2%）
+            max_risk = current_price * 0.02
+            if risk > max_risk:
+                continue
+
+            signal = TradingSignal(
+                symbol=symbol,
+                action=action,
+                confidence=75,
+                source=SignalSource.AI_ENTRY,
+                source_period=period,
+                trigger_price=current_price,
+                trigger_reason=f"AI建议入场: {reason}",
+                suggested_entry=current_price,
+                suggested_sl=sl,
+                suggested_tp=tp,
+                risk_reward_ratio=round(rr_ratio, 2),
+                ai_analysis_period=period,
+            )
+            signals.append(signal)
+
+        return signals
+
+    def __call__(self, symbol: str, current_price: float) -> List[TradingSignal]:
+        """使对象可调用"""
+        return self.generate_signals(symbol, current_price)
\ No newline at end of file
diff --git a/market/services/signal/key_level_signal.py b/market/services/signal/key_level_signal.py
new file mode 100644
index 0000000..0bc7e11
--- /dev/null
+++ b/market/services/signal/key_level_signal.py
@@ -0,0 +1,171 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+关键点位信号生成器
+根据关键点位分析生成交易信号
+"""
+
+from typing import Optional, List, Dict
+from datetime import datetime
+
+from ...models import TradingSignal, SignalSource
+
+
+class KeyLevelSignalGenerator:
+    """关键点位信号生成器"""
+
+    def __init__(self):
+        # 关键点位配置
+        self._key_levels: Dict[str, List[float]] = {}
+
+        # 阈值（价格距离关键点位的百分比）
+        self.threshold = 0.0008  # 万分之八
+
+        # 信号冷却时间（秒）
+        self.cooldown = 180
+
+        # 冷却记录
+        self._signal_cooldowns: Dict[str, datetime] = {}
+
+        print("[KeyLevelSignalGenerator] 关键点位信号生成器已初始化")
+
+    def set_key_levels(self, symbol: str, levels: List[float]) -> None:
+        """设置品种的关键点位"""
+        self._key_levels[symbol] = sorted(levels)
+
+    def get_key_levels(self, symbol: str, current_price: float) -> List[float]:
+        """获取关键点位（如果没有配置则自动计算）"""
+        if symbol in self._key_levels:
+            return self._key_levels[symbol]
+
+        # 自动计算关键点位
+        return self._auto_calculate_key_levels(current_price)
+
+    def _auto_calculate_key_levels(self, current_price: float) -> List[float]:
+        """自动计算关键点位"""
+        if current_price <= 0:
+            return []
+
+        int_part = int(current_price)
+        num_digits = len(str(int_part)) if int_part > 0 else 1
+
+        # 根据位数确定步长
+        if num_digits == 1:
+            step = 1
+        elif num_digits == 2:
+            step = 5
+        elif num_digits == 3:
+            step = 10
+        elif num_digits == 4:
+            step = 100
+        else:
+            step = 1000
+
+        # 计算基础点位
+        base_level = int(current_price / step) * step
+
+        # 生成上下各3个关键点位
+        levels = []
+        for i in range(-3, 4):
+            level = base_level + i * step
+            if level > 0:
+                levels.append(float(level))
+
+        return sorted(levels)
+
+    def _check_cooldown(self, symbol: str, key_level: float) -> bool:
+        """检查是否在冷却期"""
+        key = f"{symbol}_{key_level}"
+        if key in self._signal_cooldowns:
+            last_time = self._signal_cooldowns[key]
+            elapsed = (datetime.now() - last_time).total_seconds()
+            return elapsed < self.cooldown
+        return False
+
+    def _set_cooldown(self, symbol: str, key_level: float) -> None:
+        """设置冷却"""
+        key = f"{symbol}_{key_level}"
+        self._signal_cooldowns[key] = datetime.now()
+
+    def generate_signal(self, symbol: str, current_price: float) -> Optional[TradingSignal]:
+        """
+        生成关键点位信号
+
+        策略逻辑：
+        - 价格在关键点位上方，向下接近 → 买入（支撑位）
+        - 价格在关键点位下方，向上接近 → 卖出（压力位）
+        """
+        key_levels = self.get_key_levels(symbol, current_price)
+        if not key_levels:
+            return None
+
+        # 找到最近的关键点位
+        nearest_level = None
+        min_distance_pct = float('inf')
+
+        for level in key_levels:
+            distance_pct = abs(current_price - level) / current_price
+            if distance_pct < min_distance_pct:
+                min_distance_pct = distance_pct
+                nearest_level = level
+
+        if nearest_level is None:
+            return None
+
+        # 检查是否在阈值范围内
+        if min_distance_pct > self.threshold:
+            return None
+
+        # 检查冷却
+        if self._check_cooldown(symbol, nearest_level):
+            return None
+
+        # 设置冷却
+        self._set_cooldown(symbol, nearest_level)
+
+        # 确定方向
+        if current_price > nearest_level:
+            # 价格在关键点位上方 → 支撑位 → 买入
+            action = "buy"
+            sl = nearest_level - (nearest_level * 0.006)  # 关键点位下方万分之六
+            risk = current_price - sl
+            tp = current_price + risk * 1.5
+            trigger_reason = f"价格向下接近 {nearest_level}（支撑位）"
+        else:
+            # 价格在关键点位下方 → 压力位 → 卖出
+            action = "sell"
+            sl = nearest_level + (nearest_level * 0.006)
+            risk = sl - current_price
+            tp = current_price - risk * 1.5
+            trigger_reason = f"价格向上接近 {nearest_level}（压力位）"
+
+        # 计算风险回报比
+        reward = abs(tp - current_price)
+        rr_ratio = reward / risk if risk > 0 else 0
+
+        print(f"[KeyLevelSignalGenerator] 生成信号: {action} @ {current_price:.2f}, key_level={nearest_level:.2f}, sl={sl:.2f}, tp={tp:.2f}, risk={risk:.2f}, rr={rr_ratio:.2f}")
+
+        # 创建信号
+        signal = TradingSignal(
+            symbol=symbol,
+            action=action,
+            confidence=65,  # 基础置信度
+            source=SignalSource.KEY_LEVEL,
+            source_period="",  # 关键点位不区分周期
+            trigger_price=current_price,
+            trigger_reason=trigger_reason,
+            suggested_entry=current_price,
+            suggested_sl=round(sl, 2),
+            suggested_tp=round(tp, 2),
+            risk_reward_ratio=round(rr_ratio, 2),
+            key_level=nearest_level,
+            distance_pct=round(min_distance_pct * 100, 4),
+        )
+
+        print(f"[KeyLevelSignalGenerator] 生成信号: {signal.signal_id} {action} @ {current_price}, 关键位={nearest_level}")
+        return signal
+
+    def __call__(self, symbol: str, current_price: float) -> Optional[TradingSignal]:
+        """使对象可调用"""
+        signal = self.generate_signal(symbol, current_price)
+        return signal if signal else None
\ No newline at end of file
diff --git a/market/services/signal/pivot_signal.py b/market/services/signal/pivot_signal.py
new file mode 100644
index 0000000..b088293
--- /dev/null
+++ b/market/services/signal/pivot_signal.py
@@ -0,0 +1,185 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+转折点信号生成器
+根据转折点分析生成交易信号
+"""
+
+from typing import Optional, List, Dict
+from datetime import datetime
+
+from ...models import TradingSignal, SignalSource
+from ...store import PivotStore, KlineStore
+from ...services import PivotService
+
+
+class PivotSignalGenerator:
+    """转折点信号生成器"""
+
+    def __init__(self, pivot_service: PivotService = None,
+                 pivot_store: PivotStore = None,
+                 kline_store: KlineStore = None):
+        self.pivot_service = pivot_service
+        self.pivot_store = pivot_store or PivotStore()
+        self.kline_store = kline_store or KlineStore()
+
+        # 信号冷却时间（秒）
+        self.cooldown = 180
+
+        # 已生成的信号冷却记录
+        self._signal_cooldowns: Dict[str, datetime] = {}
+
+        print("[PivotSignalGenerator] 转折点信号生成器已初始化")
+
+    def set_pivot_service(self, service: PivotService) -> None:
+        """设置转折点服务"""
+        self.pivot_service = service
+
+    def _check_cooldown(self, symbol: str, period: str, pivot_price: float) -> bool:
+        """检查是否在冷却期"""
+        key = f"{symbol}_{period}_{pivot_price}"
+        if key in self._signal_cooldowns:
+            last_time = self._signal_cooldowns[key]
+            elapsed = (datetime.now() - last_time).total_seconds()
+            return elapsed < self.cooldown
+        return False
+
+    def _set_cooldown(self, symbol: str, period: str, pivot_price: float) -> None:
+        """设置冷却"""
+        key = f"{symbol}_{period}_{pivot_price}"
+        self._signal_cooldowns[key] = datetime.now()
+
+    def generate_signal(self, symbol: str, current_price: float,
+                        period: str = "M1") -> Optional[TradingSignal]:
+        """
+        生成转折点信号
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格
+            period: 检测周期
+
+        Returns:
+            TradingSignal 或 None
+        """
+        if not self.pivot_service:
+            return None
+
+        # 检查是否接近转折点
+        near_pivots = self.pivot_service.check_near_pivot(symbol, current_price)
+
+        for pivot in near_pivots:
+            # 只处理指定周期
+            if pivot.get('period') != period:
+                continue
+
+            # 只处理接近类型（不是突破）
+            alert_type = pivot.get('alert_type', '')
+            if not alert_type.startswith('near_'):
+                continue
+
+            pivot_price = pivot.get('price', 0)
+            pivot_type = 'low' if 'low' in alert_type else 'high'
+
+            # 检查冷却
+            if self._check_cooldown(symbol, period, pivot_price):
+                continue
+
+            # 设置冷却
+            self._set_cooldown(symbol, period, pivot_price)
+
+            # 确定方向
+            if pivot_type == 'low':
+                action = "buy"
+                # 止损 = 低点 - 固定偏移
+                sl_offset = 10.0  # TODO: 从配置获取
+                sl = pivot_price - sl_offset
+                # 止盈 = 最近的高点
+                tp = self.pivot_service.find_nearest_pivot_price(symbol, 'high', current_price)
+                print(f"[PivotSignalGenerator] 买入信号: pivot_price={pivot_price:.2f}, sl={sl:.2f}, tp={tp}")
+            else:
+                action = "sell"
+                sl_offset = 10.0
+                sl = pivot_price + sl_offset
+                tp = self.pivot_service.find_nearest_pivot_price(symbol, 'low', current_price)
+                print(f"[PivotSignalGenerator] 卖出信号: pivot_price={pivot_price:.2f}, sl={sl:.2f}, tp={tp}")
+
+            # 如果没有找到反向转折点，或者止盈太近，使用风险回报比
+            risk = abs(current_price - sl)
+            min_reward = risk * 1.5  # 最小回报 = 1.5 倍风险
+
+            if tp is None:
+                if action == "buy":
+                    tp = current_price + min_reward
+                else:
+                    tp = current_price - min_reward
+                print(f"[PivotSignalGenerator] 未找到反向转折点，使用风险回报比: tp={tp:.2f}, risk={risk:.2f}")
+            else:
+                # 检查止盈是否太近
+                reward = abs(tp - current_price)
+                if reward < min_reward:
+                    print(f"[PivotSignalGenerator] 止盈太近: reward={reward:.2f} < min_reward={min_reward:.2f}, 使用风险回报比")
+                    if action == "buy":
+                        tp = current_price + min_reward
+                    else:
+                        tp = current_price - min_reward
+
+            # 计算风险回报比
+            risk = abs(current_price - sl)
+            reward = abs(tp - current_price)
+            rr_ratio = reward / risk if risk > 0 else 0
+
+            # 止损点数验证 - 如果止损点数太大，跳过这个 pivot
+            risk_points = abs(current_price - sl)
+            max_allowed_risk = current_price * 0.02  # 最大风险 = 当前价格的 2%
+            if risk_points > max_allowed_risk:
+                print(f"[PivotSignalGenerator] 止损点数过大: {risk_points:.2f} > {max_allowed_risk:.2f}, 跳过信号")
+                continue
+
+            # 止损止盈验证
+            if sl <= 0 or tp <= 0:
+                print(f"[PivotSignalGenerator] 无效的止损止盈: sl={sl}, tp={tp}, 跳过信号")
+                continue
+
+            # 止损方向验证
+            if action == "buy" and sl >= current_price:
+                print(f"[PivotSignalGenerator] 买入止损无效: sl={sl} >= price={current_price}")
+                continue
+            if action == "sell" and sl <= current_price:
+                print(f"[PivotSignalGenerator] 卖出止损无效: sl={sl} <= price={current_price}")
+                continue
+
+            # 创建信号
+            signal = TradingSignal(
+                symbol=symbol,
+                action=action,
+                confidence=60,  # 基础置信度
+                source=SignalSource.PIVOT,
+                source_period=period,
+                trigger_price=current_price,
+                trigger_reason=f"{period}接近{pivot_type}点 {pivot_price:.2f}",
+                suggested_entry=current_price,
+                suggested_sl=sl,
+                suggested_tp=tp,
+                risk_reward_ratio=round(rr_ratio, 2),
+                pivot_price=pivot_price,
+                pivot_type=pivot_type,
+            )
+
+            print(f"[PivotSignalGenerator] 生成信号: {signal.signal_id} {action} @ {current_price}, SL={sl:.2f}, TP={tp:.2f}")
+            return signal
+
+        return None
+
+    def generate_signals(self, symbol: str, current_price: float) -> List[TradingSignal]:
+        """生成所有周期的信号"""
+        signals = []
+        for period in ['M1', 'M5']:
+            signal = self.generate_signal(symbol, current_price, period)
+            if signal:
+                signals.append(signal)
+        return signals
+
+    def __call__(self, symbol: str, current_price: float) -> List[TradingSignal]:
+        """使对象可调用，用于注册到SignalService"""
+        return self.generate_signals(symbol, current_price)
\ No newline at end of file
diff --git a/market/services/signal/signal_service.py b/market/services/signal/signal_service.py
new file mode 100644
index 0000000..e71f61f
--- /dev/null
+++ b/market/services/signal/signal_service.py
@@ -0,0 +1,194 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+信号服务模块
+统一管理信号的生成、存储和查询
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+import threading
+
+from ...models import TradingSignal, SignalSource
+from ...store import SignalStore
+
+
+class SignalService:
+    """信号服务（统一管理信号）"""
+
+    def __init__(self, signal_store: SignalStore = None):
+        self.store = signal_store or SignalStore()
+
+        # 信号生成器（注册后使用）
+        self._generators: Dict[str, callable] = {}
+
+        # 冷却管理（避免重复生成）
+        self._cooldowns: Dict[str, datetime] = {}
+        self._cooldown_lock = threading.Lock()
+
+        # 默认冷却时间（秒）
+        self.default_cooldown = 180  # 3分钟
+
+        # 启动清理线程
+        self._start_cleanup_thread()
+
+        print("[SignalService] 信号服务已初始化")
+
+    def _start_cleanup_thread(self):
+        """启动清理线程"""
+        def cleanup_loop():
+            while True:
+                try:
+                    self.store.cleanup_expired()
+                    self._cleanup_cooldowns()
+                except Exception as e:
+                    print(f"[SignalService] 清理线程异常: {e}")
+                threading.Event().wait(30)
+
+        thread = threading.Thread(target=cleanup_loop, daemon=True)
+        thread.start()
+
+    def _cleanup_cooldowns(self):
+        """清理过期的冷却记录"""
+        current_time = datetime.now()
+        with self._cooldown_lock:
+            keys_to_remove = []
+            for key, last_time in self._cooldowns.items():
+                elapsed = (current_time - last_time).total_seconds()
+                if elapsed > self.default_cooldown * 2:
+                    keys_to_remove.append(key)
+            for key in keys_to_remove:
+                del self._cooldowns[key]
+
+    def _check_cooldown(self, key: str) -> bool:
+        """检查是否在冷却期内"""
+        with self._cooldown_lock:
+            if key in self._cooldowns:
+                last_time = self._cooldowns[key]
+                elapsed = (datetime.now() - last_time).total_seconds()
+                return elapsed < self.default_cooldown
+            return False
+
+    def _set_cooldown(self, key: str) -> None:
+        """设置冷却"""
+        with self._cooldown_lock:
+            self._cooldowns[key] = datetime.now()
+
+    # ==================== 信号生成器注册 ====================
+
+    def register_generator(self, source: str, generator: callable) -> None:
+        """注册信号生成器"""
+        self._generators[source] = generator
+        print(f"[SignalService] 注册信号生成器: {source}")
+
+    # ==================== 信号生成 ====================
+
+    def generate_signals(self, symbol: str, current_price: float) -> List[TradingSignal]:
+        """
+        生成信号（调用所有注册的生成器）
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格
+
+        Returns:
+            生成的信号列表
+        """
+        signals = []
+
+        for source, generator in self._generators.items():
+            try:
+                generated = generator(symbol, current_price)
+                if generated:
+                    if isinstance(generated, list):
+                        for signal in generated:
+                            if isinstance(signal, TradingSignal):
+                                signals.append(signal)
+                    elif isinstance(generated, TradingSignal):
+                        signals.append(generated)
+            except Exception as e:
+                print(f"[SignalService] 信号生成器 {source} 异常: {e}")
+
+        # 存储信号
+        for signal in signals:
+            self.store.add_signal(signal)
+
+        return signals
+
+    def add_signal(self, signal: TradingSignal) -> str:
+        """添加信号"""
+        return self.store.add_signal(signal)
+
+    # ==================== 信号查询 ====================
+
+    def get_signal(self, signal_id: str) -> Optional[TradingSignal]:
+        """获取信号"""
+        return self.store.get_signal_by_id(signal_id)
+
+    def get_active_signals(self, symbol: str = None) -> List[TradingSignal]:
+        """获取活跃信号"""
+        return self.store.get_active_signals(symbol)
+
+    def get_active_signals_by_source(self, symbol: str, source: str) -> List[TradingSignal]:
+        """获取指定来源的活跃信号"""
+        return self.store.get_active_signals_by_source(symbol, source)
+
+    def get_signals_dict(self, symbol: str = None) -> List[Dict]:
+        """获取信号字典列表"""
+        return self.store.get_signals_dict(symbol)
+
+    def get_signal_count(self, symbol: str = None, source: str = None) -> int:
+        """获取信号数量"""
+        return self.store.get_signal_count(symbol, source)
+
+    # ==================== 信号消费 ====================
+
+    def consume_signal(self, signal_id: str) -> Optional[TradingSignal]:
+        """
+        消费信号（标记为已使用）
+
+        Args:
+            signal_id: 信号ID
+
+        Returns:
+            信号对象
+        """
+        signal = self.store.get_signal_by_id(signal_id)
+        if signal and signal.is_active():
+            self.store.mark_signal_used(signal_id)
+            return signal
+        return None
+
+    def consume_signals_for_decision(self, symbol: str) -> List[TradingSignal]:
+        """
+        消费品种的所有活跃信号（用于决策）
+
+        Args:
+            symbol: 品种
+
+        Returns:
+            信号列表
+        """
+        signals = self.store.get_active_signals(symbol)
+        for signal in signals:
+            self.store.mark_signal_used(signal.signal_id)
+        return signals
+
+    # ==================== 统计 ====================
+
+    def get_signal_stats(self, symbol: str) -> Dict:
+        """获取信号统计"""
+        return self.store.get_signal_stats(symbol)
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "store": self.store.get_status(),
+            "generators": list(self._generators.keys()),
+        }
+
+    def clear_all(self) -> int:
+        """清空所有信号"""
+        return self.store.clear_all()
\ No newline at end of file
diff --git a/market/services/statistics_service.py b/market/services/statistics_service.py
new file mode 100644
index 0000000..4bdbe1f
--- /dev/null
+++ b/market/services/statistics_service.py
@@ -0,0 +1,61 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+统计数据服务模块
+"""
+
+from typing import Dict, Optional, List
+
+from ..models.statistics import StatisticsData
+from ..store.statistics_store import StatisticsStore
+
+
+class StatisticsService:
+    """
+    统计数据服务
+
+    功能：
+    1. 处理EA上报的统计数据
+    2. 获取品种价差
+    3. 获取账户信息
+    """
+
+    def __init__(self, store: StatisticsStore = None):
+        self.store = store or StatisticsStore()
+
+    def process_statistics(self, data: Dict) -> None:
+        """
+        处理EA上报的统计数据
+
+        Args:
+            data: EA上报的JSON数据
+        """
+        stat = StatisticsData.from_ea_data(data)
+        self.store.add(stat)
+
+    def get_latest(self, symbol: str = None) -> Optional[StatisticsData]:
+        """获取最新统计数据"""
+        return self.store.get_latest(symbol)
+
+    def get_spread(self, symbol: str) -> Optional[float]:
+        """获取品种价差"""
+        return self.store.get_spread(symbol)
+
+    def get_mid_price(self, symbol: str) -> Optional[float]:
+        """获取品种中间价"""
+        latest = self.store.get_latest(symbol)
+        if latest:
+            return latest.mid_price
+        return None
+
+    def get_account_info(self, symbol: str = None) -> Dict:
+        """获取账户信息"""
+        return self.store.get_account_info(symbol)
+
+    def get_by_symbol(self, symbol: str, count: int = 10) -> List[StatisticsData]:
+        """获取指定品种的统计数据"""
+        return self.store.get_by_symbol(symbol, count)
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return self.store.get_status()
\ No newline at end of file
diff --git a/market/services/strategy/__init__.py b/market/services/strategy/__init__.py
new file mode 100644
index 0000000..1ff5e29
--- /dev/null
+++ b/market/services/strategy/__init__.py
@@ -0,0 +1,13 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+策略服务模块
+"""
+
+from .strategy_service import StrategyService
+from .risk_manager import RiskManager
+
+__all__ = [
+    'StrategyService',
+    'RiskManager',
+]
\ No newline at end of file
diff --git a/market/services/strategy/risk_manager.py b/market/services/strategy/risk_manager.py
new file mode 100644
index 0000000..4072afa
--- /dev/null
+++ b/market/services/strategy/risk_manager.py
@@ -0,0 +1,257 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+风险管理服务
+"""
+
+from typing import Dict, Optional
+from datetime import datetime
+
+from ...models import TradingStrategy
+
+
+class RiskManager:
+    """风险管理服务"""
+
+    def __init__(self):
+        # 账户信息（从外部更新）
+        self._account_balance: float = 0.0
+        self._account_equity: float = 0.0
+        self._free_margin: float = 0.0
+
+        # 每日风险限制
+        self._daily_risk_limit: float = 5.0  # 每日最大风险百分比
+        self._daily_risk_used: float = 0.0   # 今日已使用风险
+
+        # 品种配置（点值、最小手数等）
+        self._symbol_config: Dict[str, Dict] = {}
+
+        # 统计服务引用（用于获取账户信息）
+        self._statistics_service = None
+
+        print("[RiskManager] 风险管理服务已初始化")
+
+    def set_statistics_service(self, service) -> None:
+        """设置统计服务引用"""
+        self._statistics_service = service
+
+    def _refresh_account_info(self) -> None:
+        """从统计服务刷新账户信息"""
+        if not self._statistics_service:
+            return
+
+        try:
+            account_info = self._statistics_service.get_account_info()
+            if account_info:
+                self._account_balance = account_info.get('balance', 0.0)
+                self._account_equity = account_info.get('equity', 0.0)
+                # free_margin 通常等于 equity - used_margin，这里用 equity 近似
+                self._free_margin = account_info.get('equity', 0.0)
+        except Exception as e:
+            print(f"[RiskManager] 刷新账户信息失败: {e}")
+
+    # ==================== 账户信息 ====================
+
+    def update_account_info(self, balance: float, equity: float, free_margin: float) -> None:
+        """更新账户信息"""
+        self._account_balance = balance
+        self._account_equity = equity
+        self._free_margin = free_margin
+
+    def get_account_balance(self) -> float:
+        """获取账户余额"""
+        return self._account_balance
+
+    def get_account_equity(self) -> float:
+        """获取账户权益"""
+        return self._account_equity
+
+    # ==================== 品种配置 ====================
+
+    def set_symbol_config(self, symbol: str, config: Dict) -> None:
+        """设置品种配置"""
+        self._symbol_config[symbol] = config
+
+    def get_symbol_config(self, symbol: str) -> Dict:
+        """获取品种配置"""
+        return self._symbol_config.get(symbol, {
+            "point_value": 1.0,      # 点值
+            "min_volume": 0.01,      # 最小手数
+            "max_volume": 10.0,      # 最大手数
+            "volume_step": 0.01,     # 手数步长
+        })
+
+    # ==================== 手数计算 ====================
+
+    def calculate_volume(self, symbol: str, risk_points: float,
+                        strategy: TradingStrategy) -> float:
+        """
+        计算交易手数
+
+        Args:
+            symbol: 品种
+            risk_points: 风险点数
+            strategy: 策略配置
+
+        Returns:
+            计算的手数
+        """
+        config = self.get_symbol_config(symbol)
+        point_value = config.get('point_value', 1.0)
+        min_volume = config.get('min_volume', 0.01)
+        max_volume = config.get('max_volume', 10.0)
+        volume_step = config.get('volume_step', 0.01)
+
+        if strategy.volume_mode == "fixed":
+            volume = strategy.fixed_volume
+        elif strategy.volume_mode == "risk_percent":
+            # 根据风险百分比计算手数
+            risk_amount = self._account_balance * (strategy.risk_percent / 100)
+            # 手数 = 风险金额 / (风险点数 * 点值)
+            if risk_points > 0 and point_value > 0:
+                volume = risk_amount / (risk_points * point_value)
+            else:
+                volume = min_volume
+        else:
+            volume = strategy.fixed_volume
+
+        # 应用最大风险点数限制
+        if risk_points > strategy.max_risk_points:
+            print(f"[RiskManager] 风险点数 {risk_points} 超过最大限制 {strategy.max_risk_points}")
+            return 0.0
+
+        # 限制手数范围
+        volume = max(min_volume, min(volume, max_volume))
+
+        # 按步长取整
+        volume = round(volume / volume_step) * volume_step
+
+        return volume
+
+    # ==================== 风险检查 ====================
+
+    def check_risk(self, symbol: str, volume: float, risk_points: float) -> Dict:
+        """
+        检查交易风险
+
+        Args:
+            symbol: 品种
+            volume: 手数
+            risk_points: 风险点数
+
+        Returns:
+            检查结果
+        """
+        # 刷新账户信息
+        self._refresh_account_info()
+
+        config = self.get_symbol_config(symbol)
+        point_value = config.get('point_value', 1.0)
+
+        # 计算风险金额
+        risk_amount = volume * risk_points * point_value
+        risk_percent = (risk_amount / self._account_balance * 100) if self._account_balance > 0 else 0
+
+        # 检查每日风险限制
+        remaining_risk = self._daily_risk_limit - self._daily_risk_used
+
+        allowed = True
+        warnings = []
+
+        # 账户信息是否已初始化
+        account_initialized = self._account_balance > 0 or self._free_margin > 0
+
+        if risk_percent > 5:
+            allowed = False
+            warnings.append(f"单笔风险 {risk_percent:.2f}% 超过5%")
+
+        if risk_percent + self._daily_risk_used > self._daily_risk_limit:
+            allowed = False
+            warnings.append(f"将超过每日风险限制 {self._daily_risk_limit}%")
+
+        # 只有账户信息已初始化时才检查保证金
+        if account_initialized and self._free_margin < risk_amount:
+            allowed = False
+            warnings.append(f"保证金不足 (可用: {self._free_margin:.2f}, 需要: {risk_amount:.2f})")
+
+        if not account_initialized:
+            warnings.append("账户信息未初始化，跳过保证金检查")
+
+        return {
+            "allowed": allowed,
+            "risk_amount": risk_amount,
+            "risk_percent": round(risk_percent, 2),
+            "daily_risk_used": self._daily_risk_used,
+            "daily_risk_limit": self._daily_risk_limit,
+            "remaining_risk": remaining_risk,
+            "warnings": warnings,
+            "account_initialized": account_initialized,
+        }
+
+    # ==================== 持仓检查 ====================
+
+    def check_position_limit(self, symbol: str, strategy: TradingStrategy,
+                            current_positions: int, same_direction: int,
+                            opposite_direction: int, action: str) -> Dict:
+        """
+        检查持仓限制
+
+        Args:
+            symbol: 品种
+            strategy: 策略配置
+            current_positions: 当前持仓数
+            same_direction: 同向持仓数
+            opposite_direction: 反向持仓数
+            action: 交易方向 buy/sell
+
+        Returns:
+            检查结果
+        """
+        allowed = True
+        warnings = []
+
+        # 检查最大持仓数
+        if current_positions >= strategy.max_positions:
+            allowed = False
+            warnings.append(f"已达到最大持仓数 {strategy.max_positions}")
+
+        # 检查同向持仓
+        new_same_direction = same_direction + 1
+        if new_same_direction > strategy.max_same_direction:
+            allowed = False
+            warnings.append(f"同向持仓将超过限制 {strategy.max_same_direction}")
+
+        # 检查持仓冲突策略
+        if opposite_direction > 0:
+            if strategy.position_conflict == "block":
+                allowed = False
+                warnings.append("有反向持仓，策略禁止新开仓")
+            elif strategy.position_conflict == "allow_same":
+                allowed = False
+                warnings.append("有反向持仓，策略只允许同向加仓")
+            elif strategy.position_conflict == "allow_opposite":
+                # 允许反向
+                pass
+
+        return {
+            "allowed": allowed,
+            "current_positions": current_positions,
+            "same_direction": same_direction,
+            "opposite_direction": opposite_direction,
+            "max_positions": strategy.max_positions,
+            "max_same_direction": strategy.max_same_direction,
+            "warnings": warnings,
+        }
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        return {
+            "account_balance": self._account_balance,
+            "account_equity": self._account_equity,
+            "free_margin": self._free_margin,
+            "daily_risk_limit": self._daily_risk_limit,
+            "daily_risk_used": self._daily_risk_used,
+            "symbol_count": len(self._symbol_config),
+        }
\ No newline at end of file
diff --git a/market/services/strategy/strategy_service.py b/market/services/strategy/strategy_service.py
new file mode 100644
index 0000000..4d6f3b2
--- /dev/null
+++ b/market/services/strategy/strategy_service.py
@@ -0,0 +1,456 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+策略决策服务
+综合信号、持仓、资金等做出交易决策
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+import threading
+
+from ...models import TradingSignal, TradingStrategy, TradingDecision
+from ...models import ConsistencyRequirement, ConflictResolution
+from ...models import StopLossMode, TakeProfitMode
+from ...store import StrategyStore
+from ..signal import SignalService
+from .risk_manager import RiskManager
+
+
+class StrategyService:
+    """策略决策服务"""
+
+    def __init__(self, strategy_store: StrategyStore = None,
+                 signal_service: SignalService = None,
+                 risk_manager: RiskManager = None):
+        self.strategy_store = strategy_store or StrategyStore()
+        self.signal_service = signal_service or SignalService()
+        self.risk_manager = risk_manager or RiskManager()
+
+        # 持仓服务引用（外部设置）
+        self._position_service = None
+
+        # 待确认订单服务引用（外部设置）
+        self._pending_order_service = None
+
+        # 决策冷却
+        self._decision_cooldowns: Dict[str, datetime] = {}
+        self._cooldown_lock = threading.Lock()
+        self.decision_cooldown = 60  # 60秒冷却
+
+        print("[StrategyService] 策略决策服务已初始化")
+
+    def set_position_service(self, service) -> None:
+        """设置持仓服务"""
+        self._position_service = service
+
+    def set_pending_order_service(self, service) -> None:
+        """设置待确认订单服务"""
+        self._pending_order_service = service
+
+    # ==================== 策略配置 ====================
+
+    def get_strategy(self, symbol: str) -> TradingStrategy:
+        """获取品种策略配置"""
+        return self.strategy_store.get_or_create_strategy(symbol)
+
+    def update_strategy(self, symbol: str, data: Dict) -> TradingStrategy:
+        """更新策略配置"""
+        return self.strategy_store.update_strategy(symbol, data)
+
+    def get_all_strategies(self) -> List[TradingStrategy]:
+        """获取所有策略"""
+        return self.strategy_store.get_all_strategies()
+
+    # ==================== 信号综合分析 ====================
+
+    def analyze_signals(self, symbol: str, signals: List[TradingSignal],
+                       strategy: TradingStrategy) -> Dict:
+        """
+        综合分析信号
+
+        Args:
+            symbol: 品种
+            signals: 信号列表
+            strategy: 策略配置
+
+        Returns:
+            分析结果
+        """
+        if not signals:
+            return {
+                "total_count": 0,
+                "buy_count": 0,
+                "sell_count": 0,
+                "buy_weighted_score": 0,
+                "sell_weighted_score": 0,
+                "consistency": 0,
+                "direction": None,
+                "action": "none",
+            }
+
+        # 过滤掉未启用的信号
+        filtered_signals = []
+        for s in signals:
+            period = s.source_period if s.source != "key_level" else None
+            if strategy.is_signal_enabled(s.source, period):
+                filtered_signals.append(s)
+
+        if not filtered_signals:
+            return {
+                "total_count": 0,
+                "buy_count": 0,
+                "sell_count": 0,
+                "buy_weighted_score": 0,
+                "sell_weighted_score": 0,
+                "consistency": 0,
+                "direction": None,
+                "action": "none",
+                "filtered_out": len(signals),
+            }
+
+        buy_signals = [s for s in filtered_signals if s.action == "buy"]
+        sell_signals = [s for s in filtered_signals if s.action == "sell"]
+
+        # 计算加权分数（使用新的周期级别权重）
+        buy_score = sum(
+            s.confidence * strategy.get_signal_weight(s.source, s.source_period) / 100
+            for s in buy_signals
+        )
+        sell_score = sum(
+            s.confidence * strategy.get_signal_weight(s.source, s.source_period) / 100
+            for s in sell_signals
+        )
+
+        # 计算一致性
+        total = len(filtered_signals)
+        majority_count = max(len(buy_signals), len(sell_signals))
+        consistency = majority_count / total if total > 0 else 0
+
+        # 确定方向
+        direction = None
+        if buy_score > sell_score:
+            direction = "buy"
+        elif sell_score > buy_score:
+            direction = "sell"
+
+        # 检查一致性要求
+        action = "none"
+        if direction:
+            if strategy.consistency_requirement == ConsistencyRequirement.ANY:
+                action = direction
+            elif strategy.consistency_requirement == ConsistencyRequirement.MAJORITY:
+                if consistency >= 0.5:
+                    action = direction
+            elif strategy.consistency_requirement == ConsistencyRequirement.ALL:
+                if consistency == 1.0:
+                    action = direction
+
+        return {
+            "total_count": total,
+            "buy_count": len(buy_signals),
+            "sell_count": len(sell_signals),
+            "buy_weighted_score": round(buy_score, 2),
+            "sell_weighted_score": round(sell_score, 2),
+            "consistency": round(consistency, 2),
+            "direction": direction,
+            "action": action,
+            "buy_signals": [s.signal_id for s in buy_signals],
+            "sell_signals": [s.signal_id for s in sell_signals],
+            "filtered_out": len(signals) - len(filtered_signals),
+        }
+
+    # ==================== 决策生成 ====================
+
+    def make_decision(self, symbol: str, current_price: float,
+                     force_signals: List[TradingSignal] = None) -> Optional[TradingDecision]:
+        """
+        做出交易决策
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格
+            force_signals: 强制使用的信号（用于测试）
+
+        Returns:
+            TradingDecision 或 None
+        """
+        # 检查决策冷却
+        if self._is_in_cooldown(symbol):
+            return None
+
+        # 获取策略配置
+        strategy = self.get_strategy(symbol)
+        if not strategy.enabled:
+            return None
+
+        # 获取信号
+        signals = force_signals if force_signals else self.signal_service.get_active_signals(symbol)
+
+        # 过滤低置信度信号
+        signals = [s for s in signals if s.confidence >= strategy.min_confidence]
+
+        if not signals:
+            return None
+
+        # 分析信号
+        analysis = self.analyze_signals(symbol, signals, strategy)
+
+        if analysis["action"] == "none":
+            return None
+
+        action = analysis["action"]
+
+        # 选择最佳信号（用于止损止盈）
+        best_signal = self._select_best_signal(signals, action, strategy)
+        if not best_signal:
+            return None
+
+        # 计算止损止盈
+        entry_price = current_price
+        sl, tp = self._calculate_sl_tp(entry_price, best_signal, strategy)
+
+        if not sl or not tp or sl == 0 or tp == 0:
+            print(f"[StrategyService] 无效的止损止盈: sl={sl}, tp={tp}")
+            return None
+
+        # 计算风险
+        risk_points = abs(entry_price - sl)
+        reward_points = abs(tp - entry_price)
+        rr_ratio = reward_points / risk_points if risk_points > 0 else 0
+
+        # 检查风险回报比
+        if rr_ratio < strategy.min_risk_reward:
+            print(f"[StrategyService] 风险回报比 {rr_ratio:.2f} 低于最小要求 {strategy.min_risk_reward}")
+            return None
+
+        # 动态止损范围（根据价格调整）
+        # 最小止损 = 价格的 0.05% 或 5 点（取较大）
+        # 最大止损 = 价格的 2% 或 100 点（取较小）
+        price_min_sl = entry_price * 0.0005  # 价格的 0.05%
+        price_max_sl = entry_price * 0.02    # 价格的 2%
+
+        # 确保 min <= max
+        dynamic_min_sl = max(1.0, price_min_sl)  # 最小至少 1 点
+        dynamic_max_sl = max(dynamic_min_sl, price_max_sl)  # 最大至少等于最小
+
+        # 如果动态范围不合理，跳过
+        if dynamic_min_sl > dynamic_max_sl:
+            print(f"[StrategyService] 动态止损范围无效: [{dynamic_min_sl:.2f}, {dynamic_max_sl:.2f}], 跳过决策")
+            return None
+
+        # 检查止损点数
+        if risk_points < dynamic_min_sl or risk_points > dynamic_max_sl:
+            print(f"[StrategyService] 止损点数 {risk_points:.2f} 不在动态范围 [{dynamic_min_sl:.2f}, {dynamic_max_sl:.2f}] (价格={entry_price:.2f})")
+            return None
+
+        # 计算手数
+        volume = self.risk_manager.calculate_volume(symbol, risk_points, strategy)
+        if volume <= 0:
+            return None
+
+        # 检查持仓限制
+        position_check = self._check_position_limits(symbol, strategy, action)
+
+        # 检查风险限制
+        risk_check = self.risk_manager.check_risk(symbol, volume, risk_points)
+
+        # 如果检查不通过，返回拒绝的决策
+        if not position_check.get("allowed", True) or not risk_check.get("allowed", True):
+            # 即使被拒绝也要设置冷却，避免频繁推送
+            self._set_cooldown(symbol)
+            decision = TradingDecision(
+                symbol=symbol,
+                strategy_id=strategy.strategy_id,
+                action="none",
+                decision_type="rejected",
+                signals=[s.to_dict() for s in signals],
+                signal_summary=analysis,
+                decision_reason="风控检查未通过",
+                confidence_score=0,
+                position_check=position_check,
+                risk_check=risk_check,
+                status="rejected",
+            )
+            return decision
+
+        # 设置决策冷却
+        self._set_cooldown(symbol)
+
+        # 生成决策理由
+        decision_reason = self._generate_decision_reason(analysis, best_signal)
+
+        # 创建决策
+        decision = TradingDecision(
+            symbol=symbol,
+            strategy_id=strategy.strategy_id,
+            action=action,
+            decision_type="signal_combined" if len(signals) > 1 else "single_signal",
+            signals=[s.to_dict() for s in signals],
+            signal_summary=analysis,
+            entry_price=entry_price,
+            sl=round(sl, 2),
+            tp=round(tp, 2),
+            volume=volume,
+            risk_points=round(risk_points, 2),
+            reward_points=round(reward_points, 2),
+            risk_reward_ratio=round(rr_ratio, 2),
+            decision_reason=decision_reason,
+            confidence_score=analysis["buy_weighted_score"] if action == "buy" else analysis["sell_weighted_score"],
+            position_check=position_check,
+            risk_check=risk_check,
+        )
+
+        print(f"[StrategyService] 生成决策: {decision.decision_id} {action} {symbol} @ {entry_price}")
+
+        return decision
+
+    def _select_best_signal(self, signals: List[TradingSignal],
+                           action: str, strategy: TradingStrategy) -> Optional[TradingSignal]:
+        """选择最佳信号"""
+        filtered = [s for s in signals if s.action == action]
+        if not filtered:
+            return None
+
+        if strategy.conflict_resolution == ConflictResolution.HIGHEST_CONFIDENCE:
+            return max(filtered, key=lambda s: s.confidence)
+        elif strategy.conflict_resolution == ConflictResolution.HIGHEST_WEIGHT:
+            return max(filtered, key=lambda s: s.confidence * strategy.get_signal_weight(s.source, s.source_period))
+        else:
+            return filtered[0]
+
+    def _calculate_sl_tp(self, entry_price: float, signal: TradingSignal,
+                        strategy: TradingStrategy) -> tuple:
+        """计算止损止盈"""
+        # 止损
+        if strategy.sl_mode == StopLossMode.SIGNAL:
+            sl = signal.suggested_sl
+        elif strategy.sl_mode == StopLossMode.FIXED_POINTS:
+            if signal.action == "buy":
+                sl = entry_price - strategy.sl_fixed_points
+            else:
+                sl = entry_price + strategy.sl_fixed_points
+        else:
+            sl = signal.suggested_sl
+
+        # 止盈
+        if strategy.tp_mode == TakeProfitMode.SIGNAL:
+            tp = signal.suggested_tp
+        elif strategy.tp_mode == TakeProfitMode.FIXED_POINTS:
+            if signal.action == "buy":
+                tp = entry_price + strategy.tp_fixed_points
+            else:
+                tp = entry_price - strategy.tp_fixed_points
+        elif strategy.tp_mode == TakeProfitMode.RISK_REWARD:
+            risk = abs(entry_price - sl)
+            if signal.action == "buy":
+                tp = entry_price + risk * strategy.tp_risk_reward
+            else:
+                tp = entry_price - risk * strategy.tp_risk_reward
+        else:
+            tp = signal.suggested_tp
+
+        return sl, tp
+
+    def _check_position_limits(self, symbol: str, strategy: TradingStrategy,
+                               action: str) -> Dict:
+        """检查持仓限制"""
+        current_positions = 0
+        same_direction = 0
+        opposite_direction = 0
+
+        if self._position_service:
+            positions = self._position_service.get_positions(symbol)
+            current_positions = len(positions)
+            for pos in positions:
+                # PositionData.to_dict() 返回 direction 字段
+                pos_direction = pos.get('direction', '')
+                if pos_direction == action:
+                    same_direction += 1
+                else:
+                    opposite_direction += 1
+
+        return self.risk_manager.check_position_limit(
+            symbol, strategy, current_positions, same_direction, opposite_direction, action
+        )
+
+    def _generate_decision_reason(self, analysis: Dict, signal: TradingSignal) -> str:
+        """生成决策理由"""
+        reasons = []
+
+        total = analysis["total_count"]
+        buy_count = analysis["buy_count"]
+        sell_count = analysis["sell_count"]
+        direction = analysis["direction"]
+
+        if total == 1:
+            reasons.append(f"单一信号({signal.source})建议{direction}")
+        else:
+            reasons.append(f"{total}个信号中{buy_count}个买入、{sell_count}个卖出")
+
+        reasons.append(f"综合判断: {direction}")
+        reasons.append(f"风险回报比: {signal.risk_reward_ratio:.2f}")
+
+        return " | ".join(reasons)
+
+    def _is_in_cooldown(self, symbol: str) -> bool:
+        """检查是否在冷却期"""
+        with self._cooldown_lock:
+            if symbol in self._decision_cooldowns:
+                last_time = self._decision_cooldowns[symbol]
+                elapsed = (datetime.now() - last_time).total_seconds()
+                return elapsed < self.decision_cooldown
+            return False
+
+    def _set_cooldown(self, symbol: str) -> None:
+        """设置冷却"""
+        with self._cooldown_lock:
+            self._decision_cooldowns[symbol] = datetime.now()
+
+    # ==================== 执行决策 ====================
+
+    def execute_decision(self, decision: TradingDecision) -> Optional[str]:
+        """
+        执行决策（生成待确认订单）
+
+        Args:
+            decision: 交易决策
+
+        Returns:
+            订单ID 或 None
+        """
+        if decision.action == "none":
+            return None
+
+        if not self._pending_order_service:
+            print("[StrategyService] 待确认订单服务未设置")
+            return None
+
+        # 创建订单
+        order_id = self._pending_order_service.create_order(
+            symbol=decision.symbol,
+            action=decision.action,
+            price=decision.entry_price,
+            mount=decision.volume,
+            sl=decision.sl,
+            tp=decision.tp,
+            reason=decision.decision_reason,
+            description=f"Strategy: {decision.strategy_id}",
+            source="strategy_decision",
+        )
+
+        decision.order_id = order_id
+        decision.status = "confirmed"
+
+        print(f"[StrategyService] 决策已执行，订单ID: {order_id}")
+        return order_id
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "strategy_store": self.strategy_store.get_status(),
+            "signal_service": self.signal_service.get_status(),
+            "risk_manager": self.risk_manager.get_status(),
+        }
\ No newline at end of file
diff --git a/market/services/tech_indicators.py b/market/services/tech_indicators.py
new file mode 100644
index 0000000..11eff05
--- /dev/null
+++ b/market/services/tech_indicators.py
@@ -0,0 +1,238 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+技术指标计算模块
+纯函数实现，不依赖外部状态
+"""
+
+from typing import List, Dict
+from ..models import KlineData
+
+
+def calculate_ma(data: List[float], period: int) -> float:
+    """
+    计算移动平均线 (MA)
+
+    Args:
+        data: 数据列表（如收盘价）
+        period: 周期
+
+    Returns:
+        MA 值
+    """
+    if not data:
+        return 0
+    if len(data) < period:
+        return data[-1]
+    return sum(data[-period:]) / period
+
+
+def calculate_adx(klines: List[KlineData], period: int = 14) -> float:
+    """
+    计算 ADX (Average Directional Index)
+
+    ADX > 25: 有趋势
+    ADX > 40: 强趋势
+    ADX < 20: 无明显趋势
+
+    Args:
+        klines: K线数据列表
+        period: 计算周期
+
+    Returns:
+        ADX 值
+    """
+    if len(klines) < period + 1:
+        return 0
+
+    # 计算 +DM 和 -DM
+    plus_dm = []
+    minus_dm = []
+    tr_list = []
+
+    for i in range(1, len(klines)):
+        high = klines[i].high
+        low = klines[i].low
+        prev_high = klines[i - 1].high
+        prev_low = klines[i - 1].low
+        prev_close = klines[i - 1].close
+
+        # +DM
+        up_move = high - prev_high
+        down_move = prev_low - low
+
+        if up_move > down_move and up_move > 0:
+            plus_dm.append(up_move)
+        else:
+            plus_dm.append(0)
+
+        # -DM
+        if down_move > up_move and down_move > 0:
+            minus_dm.append(down_move)
+        else:
+            minus_dm.append(0)
+
+        # True Range
+        tr = max(
+            high - low,
+            abs(high - prev_close),
+            abs(low - prev_close)
+        )
+        tr_list.append(tr)
+
+    if len(tr_list) < period:
+        return 0
+
+    # 计算平滑值
+    atr = sum(tr_list[-period:]) / period
+    smoothed_plus_dm = sum(plus_dm[-period:]) / period
+    smoothed_minus_dm = sum(minus_dm[-period:]) / period
+
+    # 计算 +DI 和 -DI
+    if atr == 0:
+        return 0
+
+    plus_di = (smoothed_plus_dm / atr) * 100
+    minus_di = (smoothed_minus_dm / atr) * 100
+
+    # 计算 DX
+    di_sum = plus_di + minus_di
+    if di_sum == 0:
+        return 0
+
+    dx = abs(plus_di - minus_di) / di_sum * 100
+
+    return dx
+
+
+def calculate_rsi(data: List[float], period: int = 14) -> float:
+    """
+    计算 RSI (Relative Strength Index)
+
+    Args:
+        data: 数据列表（如收盘价）
+        period: 计算周期
+
+    Returns:
+        RSI 值 (0-100)
+    """
+    if len(data) < period + 1:
+        return 50  # 默认中性值
+
+    gains = []
+    losses = []
+
+    for i in range(1, len(data)):
+        change = data[i] - data[i - 1]
+        if change > 0:
+            gains.append(change)
+            losses.append(0)
+        else:
+            gains.append(0)
+            losses.append(abs(change))
+
+    if len(gains) < period:
+        return 50
+
+    avg_gain = sum(gains[-period:]) / period
+    avg_loss = sum(losses[-period:]) / period
+
+    if avg_loss == 0:
+        return 100
+
+    rs = avg_gain / avg_loss
+    rsi = 100 - (100 / (1 + rs))
+
+    return rsi
+
+
+def calculate_macd(data: List[float], fast: int = 12, slow: int = 26, signal: int = 9) -> Dict:
+    """
+    计算 MACD (Moving Average Convergence Divergence)
+
+    Args:
+        data: 数据列表
+        fast: 快线周期
+        slow: 慢线周期
+        signal: 信号线周期
+
+    Returns:
+        {"macd": float, "signal": float, "histogram": float}
+    """
+    if len(data) < slow + signal:
+        return {"macd": 0, "signal": 0, "histogram": 0}
+
+    # 计算快慢 EMA（简化用 SMA 近似）
+    ema_fast = calculate_ema_approx(data, fast)
+    ema_slow = calculate_ema_approx(data, slow)
+
+    # MACD 线
+    macd_line = ema_fast - ema_slow
+
+    # 信号线（MACD 的移动平均）
+    # 简化处理
+    signal_line = macd_line  # 简化
+
+    # 柱状图
+    histogram = macd_line - signal_line
+
+    return {
+        "macd": macd_line,
+        "signal": signal_line,
+        "histogram": histogram
+    }
+
+
+def calculate_ema_approx(data: List[float], period: int) -> float:
+    """
+    计算指数移动平均线 (EMA) 的近似值
+
+    Args:
+        data: 数据列表
+        period: 周期
+
+    Returns:
+        EMA 值
+    """
+    if not data:
+        return 0
+    if len(data) < period:
+        return data[-1]
+
+    # 简化：使用 SMA 近似
+    return sum(data[-period:]) / period
+
+
+def calculate_bollinger_bands(data: List[float], period: int = 20, std_dev: float = 2.0) -> Dict:
+    """
+    计算布林带
+
+    Args:
+        data: 数据列表
+        period: 周期
+        std_dev: 标准差倍数
+
+    Returns:
+        {"upper": float, "middle": float, "lower": float}
+    """
+    if len(data) < period:
+        current = data[-1] if data else 0
+        return {"upper": current, "middle": current, "lower": current}
+
+    # 中轨（SMA）
+    middle = sum(data[-period:]) / period
+
+    # 计算标准差
+    subset = data[-period:]
+    variance = sum((x - middle) ** 2 for x in subset) / period
+    std = variance ** 0.5
+
+    # 上下轨
+    upper = middle + std_dev * std
+    lower = middle - std_dev * std
+
+    return {
+        "upper": upper,
+        "middle": middle,
+        "lower": lower
+    }
\ No newline at end of file
diff --git a/market/services/tech_service.py b/market/services/tech_service.py
new file mode 100644
index 0000000..60e0edf
--- /dev/null
+++ b/market/services/tech_service.py
@@ -0,0 +1,341 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+技术分析服务模块
+处理趋势分析、共振分析、交易建议生成等业务逻辑
+"""
+
+from datetime import datetime
+from typing import Dict, List, Optional
+
+from ..models import KlineData, TechTrendState, TechTrendChange, TechResonanceResult, TechTradeSuggestion
+from ..store import TechStore, KlineStore, PivotStore
+from .tech_indicators import calculate_ma, calculate_adx
+
+
+class TechService:
+    """技术分析服务（处理业务逻辑）"""
+
+    # 支持的周期
+    PERIODS = ['H4', 'H1', 'M15', 'M5', 'M1']
+
+    # ADX 阈值
+    ADX_TREND_THRESHOLD = 25
+    ADX_STRONG_THRESHOLD = 40
+
+    # 均线周期
+    MA_FAST = 10
+    MA_SLOW = 20
+
+    # 最小 K 线数量
+    MIN_KLINES = 30
+
+    def __init__(self, tech_store: TechStore, kline_store: KlineStore, pivot_store: PivotStore):
+        self.tech_store = tech_store
+        self.kline_store = kline_store
+        self.pivot_store = pivot_store
+
+        # 统计服务引用（用于获取价差）
+        self._statistics_service = None
+
+        print("[TechService] 技术分析服务已初始化")
+
+    def set_statistics_service(self, statistics_service):
+        """设置统计服务引用"""
+        self._statistics_service = statistics_service
+
+    def _get_symbol_spread(self, symbol: str) -> Optional[float]:
+        """获取品种价差"""
+        if not self._statistics_service:
+            return None
+        return self._statistics_service.get_spread(symbol)
+
+    # ==================== 趋势分析 ====================
+
+    def analyze_trend(self, symbol: str, period: str) -> Dict:
+        """
+        分析单个周期的趋势
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+
+        Returns:
+            趋势状态字典
+        """
+        period = period.upper()
+
+        # 从 store 获取 K 线数据
+        klines_dict = self.kline_store.get_all_klines(symbol, period)
+        if not klines_dict:
+            return self._create_unknown_state(symbol, period, "无K线数据")
+
+        # 转换为 KlineData 对象
+        klines = [
+            KlineData(
+                symbol=k.get('symbol', symbol),
+                period=k.get('period', period),
+                timestamp=k.get('timestamp'),
+                open_price=float(k.get('open', 0)),
+                high=float(k.get('high', 0)),
+                low=float(k.get('low', 0)),
+                close=float(k.get('close', 0)),
+                volume=float(k.get('volume', 0))
+            )
+            for k in klines_dict
+        ]
+
+        if len(klines) < self.MIN_KLINES:
+            return self._create_unknown_state(symbol, period, f"K线数据不足(需≥{self.MIN_KLINES}根)")
+
+        # 计算技术指标
+        closes = [k.close for k in klines]
+        ma_fast = calculate_ma(closes, self.MA_FAST)
+        ma_slow = calculate_ma(closes, self.MA_SLOW)
+        current_price = closes[-1]
+        adx = calculate_adx(klines)
+
+        # 判断趋势
+        trend, reason = self._determine_trend(adx, ma_fast, ma_slow, current_price)
+
+        # 计算强度
+        strength = self._calculate_strength(adx)
+
+        # 获取之前的状态
+        previous_state = self.tech_store.get_trend_state_object(symbol, period)
+        previous_trend = previous_state.trend if previous_state else None
+        change_signal = previous_trend and previous_trend != "unknown" and previous_trend != trend
+
+        # 创建状态对象
+        state = TechTrendState(
+            symbol=symbol,
+            period=period,
+            trend=trend,
+            strength=strength,
+            adx=round(adx, 2),
+            ma_fast=round(ma_fast, 4),
+            ma_slow=round(ma_slow, 4),
+            price=current_price,
+            reason=reason,
+            timestamp=datetime.now().isoformat(),
+            previous_trend=previous_trend,
+            change_signal=change_signal
+        )
+
+        # 保存状态
+        self.tech_store.save_trend_state(state)
+
+        # 记录趋势转换
+        if change_signal:
+            change = TechTrendChange(
+                period=period,
+                from_trend=previous_trend,
+                to_trend=trend,
+                price=current_price,
+                timestamp=datetime.now().isoformat()
+            )
+            self.tech_store.add_trend_change(symbol, change)
+
+        return state.to_dict()
+
+    def _create_unknown_state(self, symbol: str, period: str, reason: str) -> Dict:
+        """创建未知状态"""
+        state = TechTrendState(
+            symbol=symbol,
+            period=period,
+            trend="unknown",
+            reason=reason,
+            timestamp=datetime.now().isoformat()
+        )
+        return state.to_dict()
+
+    def _determine_trend(self, adx: float, ma_fast: float, ma_slow: float, price: float) -> tuple:
+        """判断趋势方向"""
+        reason_parts = []
+
+        if adx < self.ADX_TREND_THRESHOLD:
+            trend = "sideways"
+            reason_parts.append(f"ADX={adx:.1f}<25 无明显趋势")
+        else:
+            if ma_fast > ma_slow and price > ma_fast:
+                trend = "up"
+                reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) > MA{self.MA_SLOW}({ma_slow:.2f})")
+                reason_parts.append(f"价格({price:.2f}) > MA{self.MA_FAST}")
+                reason_parts.append(f"ADX={adx:.1f}≥25 确认趋势")
+            elif ma_fast < ma_slow and price < ma_fast:
+                trend = "down"
+                reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) < MA{self.MA_SLOW}({ma_slow:.2f})")
+                reason_parts.append(f"价格({price:.2f}) < MA{self.MA_FAST}")
+                reason_parts.append(f"ADX={adx:.1f}≥25 确认趋势")
+            else:
+                trend = "sideways"
+                if ma_fast > ma_slow:
+                    reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) > MA{self.MA_SLOW}({ma_slow:.2f})")
+                    reason_parts.append(f"但价格({price:.2f})低于MA{self.MA_FAST}")
+                else:
+                    reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) < MA{self.MA_SLOW}({ma_slow:.2f})")
+                    reason_parts.append(f"且价格({price:.2f})高于MA{self.MA_FAST}")
+                reason_parts.append("信号矛盾，判定震荡")
+
+        return trend, "；".join(reason_parts)
+
+    def _calculate_strength(self, adx: float) -> int:
+        """计算趋势强度"""
+        if adx >= self.ADX_STRONG_THRESHOLD:
+            return min(100, int(adx + 20))
+        elif adx >= self.ADX_TREND_THRESHOLD:
+            return int(adx + 10)
+        else:
+            return int(adx)
+
+    # ==================== 共振分析 ====================
+
+    def analyze_resonance(self, symbol: str) -> Dict:
+        """
+        分析多周期共振
+
+        Args:
+            symbol: 交易品种
+
+        Returns:
+            共振分析结果
+        """
+        states = self.tech_store.get_all_trend_states(symbol)
+
+        if not states:
+            result = TechResonanceResult(symbol=symbol)
+            return result.to_dict()
+
+        # 统计各趋势数量
+        up_count = sum(1 for s in states.values() if s.trend == 'up')
+        down_count = sum(1 for s in states.values() if s.trend == 'down')
+        sideways_count = sum(1 for s in states.values() if s.trend == 'sideways')
+
+        # 计算平均强度
+        strengths = [s.strength for s in states.values() if s.trend != 'sideways']
+        avg_strength = sum(strengths) / len(strengths) if strengths else 0
+
+        # 判断共振
+        total = len(states)
+        if up_count >= total * 0.6:
+            resonance = "up"
+            aligned_count = up_count
+            signal = f"多周期向上共振 ({up_count}/{total})"
+        elif down_count >= total * 0.6:
+            resonance = "down"
+            aligned_count = down_count
+            signal = f"多周期向下共振 ({down_count}/{total})"
+        else:
+            resonance = "none"
+            aligned_count = max(up_count, down_count)
+            signal = f"趋势分歧 (↑{up_count} ↓{down_count} →{sideways_count})"
+
+        result = TechResonanceResult(
+            symbol=symbol,
+            resonance=resonance,
+            strength=int(avg_strength),
+            aligned_count=aligned_count,
+            up_count=up_count,
+            down_count=down_count,
+            sideways_count=sideways_count,
+            signal=signal,
+            periods={p: s.to_dict() for p, s in states.items()}
+        )
+
+        return result.to_dict()
+
+    # ==================== 交易建议 ====================
+
+    def generate_trade_suggestion(self, symbol: str, current_price: float) -> Optional[Dict]:
+        """
+        基于趋势和转折点生成交易建议
+
+        Args:
+            symbol: 交易品种
+            current_price: 当前实时价格
+
+        Returns:
+            交易建议 或 None
+        """
+        # 获取共振分析
+        resonance = self.analyze_resonance(symbol)
+
+        if resonance['resonance'] == 'none':
+            return None
+
+        if resonance['strength'] < 30:
+            return None
+
+        trend = resonance['resonance']
+
+        # 从 pivot_store 获取转折点
+        pivots = self.pivot_store.get_pivot_objects(symbol)
+        if not pivots:
+            return None
+
+        # 按时间排序
+        recent_pivots = sorted(
+            [p.to_dict() for p in pivots],
+            key=lambda x: str(x.get('timestamp', '')),
+            reverse=True
+        )[:10]
+
+        sl = None
+        tp = None
+        action = None
+        reason = ""
+
+        if trend == "up":
+            action = "b"
+            low_pivots = [p for p in recent_pivots if p.get('direction') == 'low']
+            if low_pivots:
+                sl = low_pivots[0].get('price')
+            if sl and current_price > sl:
+                distance = current_price - sl
+                tp = current_price + distance * 1.5
+                reason = f"多周期向上共振，建议买入，止损参考最近低点 {sl}"
+            else:
+                return None
+
+        elif trend == "down":
+            action = "s"
+            high_pivots = [p for p in recent_pivots if p.get('direction') == 'high']
+            if high_pivots:
+                sl = high_pivots[0].get('price')
+            if sl and current_price < sl:
+                distance = sl - current_price
+                tp = current_price - distance * 1.5
+                reason = f"多周期向下共振，建议卖出，止损参考最近高点 {sl}"
+            else:
+                return None
+
+        if not all([action, sl, tp]):
+            return None
+
+        suggestion = TechTradeSuggestion(
+            symbol=symbol,
+            action=action,
+            price=current_price,
+            sl=round(sl, 4),
+            tp=round(tp, 4),
+            reason=reason,
+            trend_strength=resonance['strength'],
+            resonance_periods=resonance['aligned_count'],
+            generated_at=datetime.now().isoformat()
+        )
+
+        return suggestion.to_dict()
+
+    # ==================== 查询 ====================
+
+    def get_trend_state(self, symbol: str, period: str = None) -> Dict:
+        """获取趋势状态"""
+        return self.tech_store.get_trend_state(symbol, period)
+
+    def get_trend_changes(self, symbol: str, count: int = 10) -> List[Dict]:
+        """获取趋势转换历史"""
+        return self.tech_store.get_trend_changes(symbol, count)
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        return self.tech_store.get_status()
\ No newline at end of file
diff --git a/market/services/trade_history_service.py b/market/services/trade_history_service.py
new file mode 100644
index 0000000..d8aa11e
--- /dev/null
+++ b/market/services/trade_history_service.py
@@ -0,0 +1,52 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易历史服务模块
+"""
+
+from typing import Dict, List
+
+from ..models.trade_history import TradeDeal
+from ..store.trade_history_store import TradeHistoryStore
+
+
+class TradeHistoryService:
+    """
+    交易历史服务
+
+    功能：
+    1. 处理EA上报的交易历史
+    2. 提供交易统计分析
+    """
+
+    def __init__(self, store: TradeHistoryStore = None):
+        self.store = store or TradeHistoryStore()
+
+    def process_deals(self, deals_data: List[Dict]) -> int:
+        """
+        处理EA上报的成交记录
+
+        Args:
+            deals_data: EA上报的成交数据列表
+
+        Returns:
+            新增记录数
+        """
+        deals = [TradeDeal.from_ea_data(data) for data in deals_data]
+        return self.store.add(deals)
+
+    def get_deals(self, symbol: str = None, hours: int = None) -> List[Dict]:
+        """获取成交记录"""
+        return self.store.get_dict(symbol, hours)
+
+    def get_statistics(self, symbol: str = None) -> Dict:
+        """获取交易统计"""
+        return self.store.get_statistics(symbol)
+
+    def get_recent_profit(self, symbol: str = None, hours: int = 24) -> float:
+        """获取最近N小时的盈亏"""
+        return self.store.get_recent_profit(symbol, hours)
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return self.store.get_status()
\ No newline at end of file
diff --git a/market/services/trading_instruction_service.py b/market/services/trading_instruction_service.py
new file mode 100644
index 0000000..b3048b4
--- /dev/null
+++ b/market/services/trading_instruction_service.py
@@ -0,0 +1,154 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易指令服务模块
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+
+from ..models import TradingInstruction, PendingOrder
+from ..store import TradingInstructionStore
+
+
+class TradingInstructionService:
+    """交易指令服务（处理业务逻辑）"""
+
+    def __init__(self, instruction_store: TradingInstructionStore = None):
+        self.store = instruction_store or TradingInstructionStore()
+        print("[TradingInstructionService] 交易指令服务已初始化")
+
+    # ==================== 创建指令 ====================
+
+    def create_instruction(self, symbol: str, action: str, price: float,
+                          mount: float, sl: float = 0.0, tp: float = 0.005,
+                          reason: str = "", description: str = "",
+                          source: str = "", order_id: str = None) -> str:
+        """
+        创建交易指令
+
+        Args:
+            symbol: 品种
+            action: 方向 (b/s)
+            price: 执行价格
+            mount: 手数
+            sl: 止损
+            tp: 止盈
+            reason: 原因
+            description: 描述
+            source: 来源
+            order_id: 来源订单ID
+
+        Returns:
+            指令ID
+        """
+        instruction = TradingInstruction(
+            symbol=symbol,
+            action=action,
+            price=price,
+            mount=mount,
+            sl=sl,
+            tp=tp,
+            reason=reason,
+            description=description,
+            source=source,
+            order_id=order_id,
+        )
+        return self.store.add_instruction(instruction)
+
+    def create_instruction_from_dict(self, data: Dict) -> str:
+        """从字典创建指令"""
+        instruction = TradingInstruction.from_dict(data)
+        return self.store.add_instruction(instruction)
+
+    def create_from_pending_order(self, order: PendingOrder) -> str:
+        """从待确认订单创建指令"""
+        instruction = TradingInstruction.from_pending_order(order)
+        return self.store.add_instruction(instruction)
+
+    def create_instructions_batch(self, instructions_data: List[Dict]) -> int:
+        """
+        批量创建指令
+
+        Args:
+            instructions_data: 指令字典列表
+
+        Returns:
+            创建数量
+        """
+        count = 0
+        for data in instructions_data:
+            # 填充默认值
+            if data.get('sl') is None:
+                data['sl'] = 0.0
+            if data.get('tp') is None or data.get('tp', 0) <= 0:
+                data['tp'] = 0.005
+
+            self.create_instruction_from_dict(data)
+            count += 1
+
+        print(f"[TradingInstructionService] 批量创建指令: {count}条")
+        return count
+
+    # ==================== 查询指令 ====================
+
+    def get_instruction(self, instruction_id: str) -> Optional[TradingInstruction]:
+        """获取指令"""
+        return self.store.get_instruction_by_id(instruction_id)
+
+    def get_instructions_by_symbol(self, symbol: str) -> List[TradingInstruction]:
+        """获取指定品种的指令"""
+        return self.store.get_instructions_by_symbol(symbol)
+
+    def get_all_instructions(self) -> List[TradingInstruction]:
+        """获取所有指令"""
+        return self.store.get_all_instructions()
+
+    def get_all_instructions_dict(self) -> Dict[str, List[Dict]]:
+        """获取所有指令（按品种分类）"""
+        return self.store.get_all_instructions_dict()
+
+    # ==================== EA获取指令 ====================
+
+    def fetch_instructions_for_ea(self, symbol: str, current_price: float = None) -> List[Dict]:
+        """
+        EA获取满足条件的指令
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格，用于价格过滤
+
+        Returns:
+            满足条件的指令列表（字典格式）
+        """
+        return self.store.fetch_and_remove_by_symbol(symbol, current_price)
+
+    # ==================== 清理指令 ====================
+
+    def remove_instruction(self, instruction_id: str) -> Optional[TradingInstruction]:
+        """移除指令"""
+        return self.store.remove_instruction(instruction_id)
+
+    def clear_by_symbol(self, symbol: str) -> int:
+        """清空指定品种的指令"""
+        return self.store.clear_by_symbol(symbol)
+
+    def clear_all(self) -> int:
+        """清空所有指令"""
+        return self.store.clear_all()
+
+    # ==================== 统计 ====================
+
+    def get_count_by_symbol(self, symbol: str) -> int:
+        """获取指定品种的指令数量"""
+        return self.store.get_count_by_symbol(symbol)
+
+    def get_total_count(self) -> int:
+        """获取总指令数量"""
+        return self.store.get_total_count()
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return self.store.get_status()
\ No newline at end of file
diff --git a/market/store.py b/market/store.py
deleted file mode 100644
index 6ec94cb..0000000
--- a/market/store.py
+++ /dev/null
@@ -1,454 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-K线数据存储模块
-按周期和Symbol存储K线数据
-"""
-
-from collections import defaultdict
-from datetime import datetime
-from typing import List, Dict, Optional
-import threading
-
-
-class KlineData:
-    """K线数据结构"""
-
-    def __init__(self, symbol: str, period: str, timestamp, open_price: float,
-                 high: float, low: float, close: float, volume: float = 0):
-        self.symbol = symbol
-        self.period = period  # H4, H1, M15, M5, M1
-        self.timestamp = timestamp
-        self.open = open_price
-        self.high = high
-        self.low = low
-        self.close = close
-        self.volume = volume
-
-    def to_dict(self) -> Dict:
-        """转换为字典"""
-        ts = self.timestamp
-        if isinstance(ts, datetime):
-            ts_str = ts.strftime("%Y-%m-%d %H:%M:%S")
-        else:
-            ts_str = str(ts)
-
-        return {
-            "symbol": self.symbol,
-            "period": self.period,
-            "timestamp": ts_str,
-            "open": self.open,
-            "high": self.high,
-            "low": self.low,
-            "close": self.close,
-            "volume": self.volume
-        }
-
-
-class MarketStore:
-    """K线数据存储"""
-
-    # 支持的周期
-    PERIODS = ['H4', 'H1', 'M15', 'M5', 'M1']
-
-    # 各周期最大存储条数
-    MAX_KLINES = {
-        'H4': 1500,   # 4小时，6个月约1100根，留余量
-        'H1': 1000,   # 1小时，1个月约720根
-        'M15': 500,   # 15分钟，3天约288根
-        'M5': 400,    # 5分钟，24小时288根
-        'M1': 100     # 1分钟，1小时60根
-    }
-
-    # 各周期时间间隔（秒）
-    PERIOD_INTERVALS = {
-        'H4': 4 * 60 * 60,    # 4小时
-        'H1': 1 * 60 * 60,    # 1小时
-        'M15': 15 * 60,       # 15分钟
-        'M5': 5 * 60,         # 5分钟
-        'M1': 1 * 60          # 1分钟
-    }
-
-    def __init__(self):
-        # 存储结构: {SYMBOL: {PERIOD: [KlineData, ...]}}
-        self._klines = defaultdict(lambda: defaultdict(list))
-        self._lock = threading.RLock()
-
-        # 标记每个symbol每个周期是否已收到全量数据
-        # 结构: {SYMBOL: {PERIOD: True/False}}
-        self._initialized = defaultdict(lambda: defaultdict(bool))
-
-        # 记录每个symbol的M1数据最后更新时间（本地时间，用于判断数据是否过期）
-        # 结构: {SYMBOL: datetime}
-        self._m1_update_time = {}
-
-        print("[MarketStore] K线存储已初始化")
-
-    def save_klines(self, symbol: str, period: str, klines: List[Dict],
-                    is_full: bool = False) -> Dict:
-        """
-        保存K线数据
-
-        Args:
-            symbol: 交易品种
-            period: 周期 (H4/H1/M15/M5/M1)
-            klines: K线数据列表
-            is_full: 是否为全量数据
-
-        Returns:
-            {"status": "ok", "count": N, "is_full": bool}
-        """
-        period = period.upper()
-
-        if period not in self.PERIODS:
-            return {"status": "error", "message": f"不支持的周期: {period}"}
-
-        with self._lock:
-            # 注意：EA推送全量时会按顺序推送所有周期（H4→H1→M15→M5→M1）
-            # 每个周期单独推送，is_full=true
-            # 所以这里只清空当前周期的数据，其他周期等待各自的推送
-            if is_full:
-                # 全量数据，清空该品种当前周期的历史数据
-                self._klines[symbol][period] = []
-                print(f"[MarketStore] 收到 {symbol} {period} 全量数据，清空该周期历史数据")
-
-            # 解析并存储K线数据
-            new_count = 0
-            update_count = 0  # 记录更新的数据条数
-            for k in klines:
-                kline = KlineData(
-                    symbol=symbol,
-                    period=period,
-                    timestamp=k.get('timestamp') or k.get('time'),
-                    open_price=float(k.get('open', 0)),
-                    high=float(k.get('high', 0)),
-                    low=float(k.get('low', 0)),
-                    close=float(k.get('close', 0)),
-                    volume=float(k.get('volume', 0))
-                )
-
-                # 检查是否已存在相同时间戳的数据
-                existing = self._klines[symbol][period]
-                ts = kline.timestamp
-
-                # 查找是否已存在
-                found_idx = -1
-                for i, existing_kline in enumerate(existing):
-                    if self._normalize_timestamp(existing_kline.timestamp) == self._normalize_timestamp(ts):
-                        found_idx = i
-                        break
-
-                if found_idx >= 0:
-                    # 更新已有数据
-                    existing[found_idx] = kline
-                    update_count += 1
-                else:
-                    # 添加新数据
-                    existing.append(kline)
-                    new_count += 1
-
-            # 按时间排序
-            self._klines[symbol][period].sort(
-                key=lambda x: self._normalize_timestamp(x.timestamp)
-            )
-
-            # 限制最大条数，保留最新的
-            max_count = self.MAX_KLINES.get(period, 500)
-            if len(self._klines[symbol][period]) > max_count:
-                self._klines[symbol][period] = self._klines[symbol][period][-max_count:]
-
-            # 标记已初始化
-            self._initialized[symbol][period] = True
-
-            # 如果是M1数据，更新最后更新时间（有新数据或更新数据都算）
-            if period == 'M1' and (new_count > 0 or update_count > 0):
-                self._m1_update_time[symbol] = datetime.now()
-
-            total = len(self._klines[symbol][period])
-            print(f"[MarketStore] {symbol} {period} 保存了 {new_count} 条新数据, 当前共 {total} 条")
-
-            return {
-                "status": "ok",
-                "count": new_count,
-                "total": total,
-                "is_full": is_full
-            }
-
-    def get_klines(self, symbol: str, period: str, count: int = 100) -> List[Dict]:
-        """获取K线数据"""
-        period = period.upper()
-
-        with self._lock:
-            klines = self._klines[symbol][period][-count:]
-            return [k.to_dict() for k in klines]
-
-    def get_all_klines(self, symbol: str, period: str) -> List[Dict]:
-        """获取所有K线数据"""
-        period = period.upper()
-
-        with self._lock:
-            return [k.to_dict() for k in self._klines[symbol][period]]
-
-    def get_latest_price(self, symbol: str) -> Optional[float]:
-        """获取最新价格（从K线的最新close，优先M1，依次尝试其他周期）"""
-        with self._lock:
-            # 尝试找到匹配的symbol
-            actual_symbol = None
-            if symbol in self._klines:
-                actual_symbol = symbol
-            else:
-                # 尝试模糊匹配（去除#后缀）
-                symbol_base = symbol.replace('#', '')
-                for s in self._klines:
-                    if s.replace('#', '') == symbol_base:
-                        actual_symbol = s
-                        break
-
-            if not actual_symbol:
-                return None
-
-            # 按优先级尝试各周期（M1优先，然后更短周期）
-            for period in ['M1', 'M5', 'M15', 'H1', 'H4']:
-                klines = self._klines[actual_symbol][period]
-                if klines:
-                    return klines[-1].close
-            return None
-
-    def is_initialized(self, symbol: str, period: str) -> bool:
-        """检查某个周期的数据是否已初始化"""
-        period = period.upper()
-        return self._initialized[symbol][period]
-
-    def check_all_initialized(self, symbol: str) -> bool:
-        """检查所有周期是否都已初始化"""
-        return all(self._initialized[symbol][p] for p in self.PERIODS)
-
-    def clear_symbol(self, symbol: str):
-        """清除某个Symbol的数据"""
-        with self._lock:
-            if symbol in self._klines:
-                del self._klines[symbol]
-            if symbol in self._initialized:
-                del self._initialized[symbol]
-
-    def get_status(self) -> Dict:
-        """获取存储状态"""
-        with self._lock:
-            status = {}
-            for symbol in self._klines:
-                status[symbol] = {}
-                for period in self.PERIODS:
-                    count = len(self._klines[symbol][period])
-                    initialized = self._initialized[symbol][period]
-                    status[symbol][period] = {
-                        "count": count,
-                        "initialized": initialized
-                    }
-            return status
-
-    def get_symbols(self) -> List[str]:
-        """获取所有有实际数据的symbol列表"""
-        with self._lock:
-            symbols = []
-            for symbol in self._klines:
-                # 检查是否有实际数据（任一周期有K线数据）
-                has_data = False
-                for period in self.PERIODS:
-                    if len(self._klines[symbol][period]) > 0:
-                        has_data = True
-                        break
-                if has_data:
-                    symbols.append(symbol)
-            return symbols
-
-    def _normalize_timestamp(self, ts) -> str:
-        """标准化时间戳为字符串"""
-        if isinstance(ts, datetime):
-            return ts.strftime("%Y-%m-%d %H:%M:%S")
-        return str(ts)
-
-    def get_latest_kline_time(self, symbol: str, period: str = 'M1') -> Optional[datetime]:
-        """
-        获取指定品种和周期的最新K线时间戳
-
-        Args:
-            symbol: 品种名称
-            period: 周期，默认M1
-
-        Returns:
-            最新K线时间戳，如果没有数据返回None
-        """
-        period = period.upper()
-
-        with self._lock:
-            klines = self._klines[symbol][period]
-            if not klines:
-                return None
-
-            latest_ts = klines[-1].timestamp
-            if isinstance(latest_ts, datetime):
-                return latest_ts
-            else:
-                # 尝试解析字符串时间戳（支持多种格式）
-                ts_str = str(latest_ts)
-                for fmt in ["%Y-%m-%d %H:%M:%S", "%Y.%m.%d %H:%M", "%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M"]:
-                    try:
-                        return datetime.strptime(ts_str, fmt)
-                    except:
-                        continue
-                return None
-
-    def check_m1_updated_within(self, symbol: str, seconds: int = 180) -> Dict:
-        """
-        检查M1 K线是否在指定秒数内更新
-
-        Args:
-            symbol: 品种名称
-            seconds: 秒数，默认180秒（3分钟）
-
-        Returns:
-            {
-                "has_data": bool,  # 是否有M1数据
-                "latest_time": datetime,  # 最新K线时间（MT5服务器时间）
-                "update_time": datetime,  # 服务端收到更新的时间（本地时间）
-                "seconds_ago": int,  # 距今多少秒（基于本地更新时间）
-                "is_stale": bool,  # 是否过期（超过指定秒数）
-                "market_status": str  # 市场状态: "active", "stale", "closed"
-            }
-        """
-        with self._lock:
-            # 检查是否有M1数据
-            has_m1_data = len(self._klines[symbol]['M1']) > 0
-
-            if not has_m1_data:
-                return {
-                    "has_data": False,
-                    "latest_time": None,
-                    "update_time": None,
-                    "seconds_ago": None,
-                    "is_stale": True,
-                    "market_status": "closed"  # 无数据，可能休市
-                }
-
-            # 获取最新K线时间（MT5服务器时间，仅用于显示）
-            latest_time = self.get_latest_kline_time(symbol, 'M1')
-
-            # 获取服务端收到更新的时间（本地时间，用于判断过期）
-            update_time = self._m1_update_time.get(symbol)
-
-            if update_time is None:
-                # 有数据但没有更新时间记录，说明是服务重启前的旧数据
-                # 这种情况也认为是休市，等下次推送数据时再处理
-                return {
-                    "has_data": True,
-                    "latest_time": latest_time,
-                    "update_time": None,
-                    "seconds_ago": None,
-                    "is_stale": True,
-                    "market_status": "closed"  # 无新数据推送，可能休市
-                }
-
-            now = datetime.now()
-            seconds_ago = int((now - update_time).total_seconds())
-
-            if seconds_ago > seconds:
-                market_status = "stale"  # 数据过期
-            else:
-                market_status = "active"  # 活跃
-
-            return {
-                "has_data": True,
-                "latest_time": latest_time,
-                "update_time": update_time,
-                "seconds_ago": seconds_ago,
-                "is_stale": seconds_ago > seconds,
-                "market_status": market_status
-            }
-
-    def check_kline_continuity(self, symbol: str, period: str, new_klines: List[Dict]) -> Dict:
-        """
-        检查增量K线数据是否连续
-
-        Args:
-            symbol: 品种名称
-            period: 周期
-            new_klines: 新推送的K线数据列表
-
-        Returns:
-            {
-                "is_continuous": bool,  # 是否连续
-                "gap_count": int,       # 缺失的K线数量
-                "last_existing_time": datetime,  # 现有数据最后时间
-                "first_new_time": datetime,      # 新数据最早时间
-                "expected_gap": int     # 期望的间隔（周期数）
-            }
-        """
-        period = period.upper()
-
-        if not new_klines:
-            return {"is_continuous": True, "gap_count": 0}
-
-        # 获取周期时间间隔（秒）
-        interval = self.PERIOD_INTERVALS.get(period, 60)
-        # 允许的间隔倍数（现有数据+1周期）
-        max_allowed_gap = interval * 2  # 允许最多1个周期的间隔
-
-        with self._lock:
-            existing = self._klines[symbol][period]
-            if not existing:
-                # 没有历史数据，需要检查是否初始化
-                return {"is_continuous": True, "gap_count": 0}
-
-            # 获取现有数据最后时间
-            last_existing = existing[-1]
-            last_existing_time = self._parse_timestamp(last_existing.timestamp)
-            if last_existing_time is None:
-                return {"is_continuous": True, "gap_count": 0}
-
-            # 获取新数据最早时间（新数据可能有多条，取最早的）
-            first_new_time = None
-            for k in new_klines:
-                ts = self._parse_timestamp(k.get('timestamp') or k.get('time'))
-                if ts:
-                    if first_new_time is None or ts < first_new_time:
-                        first_new_time = ts
-
-            if first_new_time is None:
-                return {"is_continuous": True, "gap_count": 0}
-
-            # 计算时间差
-            time_diff = (first_new_time - last_existing_time).total_seconds()
-
-            # 如果新数据时间早于或等于现有数据，是更新操作，算连续
-            if time_diff <= 0:
-                return {
-                    "is_continuous": True,
-                    "gap_count": 0,
-                    "last_existing_time": last_existing_time,
-                    "first_new_time": first_new_time
-                }
-
-            # 计算间隔的周期数
-            gap_periods = int(time_diff / interval)
-
-            return {
-                "is_continuous": gap_periods <= 1,  # 允许最多1个周期的间隔
-                "gap_count": max(0, gap_periods - 1),  # 缺失的周期数
-                "last_existing_time": last_existing_time,
-                "first_new_time": first_new_time,
-                "expected_gap": gap_periods
-            }
-
-    def _parse_timestamp(self, ts) -> Optional[datetime]:
-        """解析时间戳为datetime对象"""
-        if ts is None:
-            return None
-        if isinstance(ts, datetime):
-            return ts
-        ts_str = str(ts)
-        for fmt in ["%Y-%m-%d %H:%M:%S", "%Y.%m.%d %H:%M", "%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M"]:
-            try:
-                return datetime.strptime(ts_str, fmt)
-            except:
-                continue
-        return None
\ No newline at end of file
diff --git a/market/store/__init__.py b/market/store/__init__.py
new file mode 100644
index 0000000..a8a66f9
--- /dev/null
+++ b/market/store/__init__.py
@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+存储模块
+"""
+
+from .kline_store import KlineStore
+from .pivot_store import PivotStore
+from .llm_store import LLMStore
+from .tech_store import TechStore
+from .calendar_store import CalendarStore
+from .flash_news_store import FlashNewsStore
+from .pending_order_store import PendingOrderStore
+from .trading_instruction_store import TradingInstructionStore
+from .signal_store import SignalStore
+from .strategy_store import StrategyStore
+from .statistics_store import StatisticsStore
+from .position_store import PositionStore
+from .trade_history_store import TradeHistoryStore
+
+__all__ = [
+    'KlineStore', 'PivotStore', 'LLMStore', 'TechStore',
+    'CalendarStore', 'FlashNewsStore',
+    'PendingOrderStore', 'TradingInstructionStore',
+    'SignalStore', 'StrategyStore',
+    'StatisticsStore', 'PositionStore', 'TradeHistoryStore'
+]
\ No newline at end of file
diff --git a/market/store/calendar_store.py b/market/store/calendar_store.py
new file mode 100644
index 0000000..22397cf
--- /dev/null
+++ b/market/store/calendar_store.py
@@ -0,0 +1,259 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+财经日历存储模块
+存储财经日历事件数据
+"""
+
+from datetime import datetime, timedelta
+from typing import List, Dict, Optional
+import threading
+
+from ..models import CalendarEvent
+
+
+class CalendarStore:
+    """财经日历存储（只负责数据CRUD）"""
+
+    # 过期数据清理阈值（小时）
+    EXPIRY_HOURS = 6
+
+    def __init__(self):
+        # 事件列表，按时间排序
+        self._events: List[CalendarEvent] = []
+        self._lock = threading.RLock()
+
+        # 已提醒的事件ID集合
+        self._alerted_ids: set = set()
+
+        print("[CalendarStore] 财经日历存储已初始化")
+
+    # ==================== 事件管理 ====================
+
+    def save_events(self, events: List[CalendarEvent]) -> Dict:
+        """
+        保存事件（全量替换）
+
+        Args:
+            events: 事件列表
+
+        Returns:
+            {"added": N, "updated": M, "total": T}
+        """
+        with self._lock:
+            # 清理过期数据
+            self._cleanup_expired()
+
+            # 构建现有事件ID集合
+            existing_ids = {e.id for e in self._events}
+
+            new_count = 0
+            update_count = 0
+
+            for event in events:
+                if event.id in existing_ids:
+                    # 更新现有事件
+                    for i, e in enumerate(self._events):
+                        if e.id == event.id:
+                            self._events[i] = event
+                            update_count += 1
+                            break
+                else:
+                    # 添加新事件
+                    self._events.append(event)
+                    new_count += 1
+
+            # 按时间排序
+            self._events.sort(key=lambda x: x.publish_time or datetime.min)
+
+            total = len(self._events)
+            print(f"[CalendarStore] 保存事件: 新增{new_count}条, 更新{update_count}条, 当前共{total}条")
+
+            return {"added": new_count, "updated": update_count, "total": total}
+
+    def update_from_mt5(self, events_data: List[Dict]) -> int:
+        """
+        从MT5数据更新财经日历
+
+        Args:
+            events_data: MT5返回的事件列表
+
+        Returns:
+            更新的事件数量
+        """
+        now = datetime.now()
+        expiry_threshold = now - timedelta(hours=self.EXPIRY_HOURS)
+
+        with self._lock:
+            # 清理过期数据
+            self._events = [
+                e for e in self._events
+                if e.publish_time and e.publish_time > expiry_threshold
+            ]
+
+            existing_ids = {e.id for e in self._events}
+            new_count = 0
+            update_count = 0
+
+            for event_data in events_data:
+                event = CalendarEvent.from_mt5_data(event_data)
+                if event is None:
+                    continue
+
+                # 跳过过期数据
+                if event.publish_time and event.publish_time < expiry_threshold:
+                    continue
+
+                if event.id in existing_ids:
+                    for i, e in enumerate(self._events):
+                        if e.id == event.id:
+                            self._events[i] = event
+                            update_count += 1
+                            break
+                else:
+                    self._events.append(event)
+                    new_count += 1
+
+            self._events.sort(key=lambda x: x.publish_time or datetime.min)
+
+            total = len(self._events)
+            print(f"[CalendarStore] MT5更新: 新增{new_count}条, 更新{update_count}条, 当前共{total}条")
+
+            return new_count + update_count
+
+    def get_events(self, date_str: str = None) -> List[Dict]:
+        """
+        获取事件列表
+
+        Args:
+            date_str: 日期字符串，None返回所有
+
+        Returns:
+            事件字典列表
+        """
+        with self._lock:
+            if date_str:
+                filtered = [
+                    e for e in self._events
+                    if e.publish_time and e.publish_time.strftime('%Y-%m-%d') == date_str
+                ]
+                return [e.to_dict() for e in filtered]
+            return [e.to_dict() for e in self._events]
+
+    def get_event_objects(self, date_str: str = None) -> List[CalendarEvent]:
+        """获取事件对象列表"""
+        with self._lock:
+            if date_str:
+                return [
+                    e for e in self._events
+                    if e.publish_time and e.publish_time.strftime('%Y-%m-%d') == date_str
+                ]
+            return list(self._events)
+
+    def get_event_by_id(self, event_id: str) -> Optional[CalendarEvent]:
+        """根据ID获取事件"""
+        with self._lock:
+            for event in self._events:
+                if event.id == event_id:
+                    return event
+        return None
+
+    def get_upcoming_events(self, hours: int = 24, min_importance: int = 2) -> List[CalendarEvent]:
+        """
+        获取即将发布的重要事件
+
+        Args:
+            hours: 未来多少小时内
+            min_importance: 最小重要级别
+
+        Returns:
+            事件列表
+        """
+        now = datetime.now()
+        upcoming = []
+
+        with self._lock:
+            for event in self._events:
+                if event.publish_time and event.importance >= min_importance:
+                    delta = event.publish_time - now
+                    if 0 < delta.total_seconds() <= hours * 3600:
+                        upcoming.append(event)
+
+        return sorted(upcoming, key=lambda x: x.publish_time)
+
+    # ==================== 提醒状态 ====================
+
+    def is_alerted(self, event_id: str) -> bool:
+        """检查事件是否已提醒"""
+        return event_id in self._alerted_ids
+
+    def mark_alerted(self, event_id: str) -> None:
+        """标记事件已提醒"""
+        self._alerted_ids.add(event_id)
+
+    # ==================== 事件结果更新 ====================
+
+    def update_event_result(self, event_id: str, actual: str, result: str, impact: Dict) -> bool:
+        """
+        更新事件结果
+
+        Args:
+            event_id: 事件ID
+            actual: 实际值
+            result: 结果类型 (better/worse/in_line)
+            impact: 影响分析
+
+        Returns:
+            是否更新成功
+        """
+        with self._lock:
+            event = self.get_event_by_id(event_id)
+            if event:
+                event.actual = actual
+                event.result = result
+                event.impact = impact
+                event.analyzed = True
+                print(f"[CalendarStore] 更新事件结果: {event.name}, 实际值={actual}")
+                return True
+        return False
+
+    # ==================== 清理 ====================
+
+    def cleanup_expired(self) -> int:
+        """清理过期事件"""
+        with self._lock:
+            return self._cleanup_expired()
+
+    def _cleanup_expired(self) -> int:
+        """内部清理方法（不加锁）"""
+        now = datetime.now()
+        expiry_threshold = now - timedelta(hours=self.EXPIRY_HOURS)
+
+        before_count = len(self._events)
+        self._events = [
+            e for e in self._events
+            if e.publish_time and e.publish_time > expiry_threshold
+        ]
+        removed = before_count - len(self._events)
+
+        if removed > 0:
+            print(f"[CalendarStore] 清理过期事件: {removed}条")
+
+        return removed
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "total_events": len(self._events),
+                "alerted_events": len(self._alerted_ids)
+            }
+
+    def clear(self) -> None:
+        """清空所有数据"""
+        with self._lock:
+            self._events.clear()
+            self._alerted_ids.clear()
+            print("[CalendarStore] 已清空所有数据")
\ No newline at end of file
diff --git a/market/store/flash_news_store.py b/market/store/flash_news_store.py
new file mode 100644
index 0000000..3abeac3
--- /dev/null
+++ b/market/store/flash_news_store.py
@@ -0,0 +1,132 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+快讯存储模块
+存储快讯数据
+"""
+
+from collections import deque
+from datetime import datetime
+from typing import List, Dict, Optional
+import threading
+
+from ..models import FlashNews
+
+
+class FlashNewsStore:
+    """快讯存储（只负责数据CRUD）"""
+
+    # 最大保留数量
+    MAX_NEWS = 100
+
+    def __init__(self):
+        # 快讯列表，最新的在前
+        self._news: deque = deque(maxlen=self.MAX_NEWS)
+        self._lock = threading.RLock()
+
+        # 已提醒的快讯ID集合
+        self._alerted_ids: set = set()
+
+        print("[FlashNewsStore] 快讯存储已初始化")
+
+    # ==================== 快讯管理 ====================
+
+    def add_news(self, news: FlashNews) -> bool:
+        """
+        添加快讯
+
+        Args:
+            news: 快讯对象
+
+        Returns:
+            是否新增（False表示已存在）
+        """
+        with self._lock:
+            # 检查是否已存在
+            for existing in self._news:
+                if existing.id == news.id:
+                    return False
+
+            self._news.appendleft(news)
+            print(f"[FlashNewsStore] 新增快讯: {news.id}")
+            return True
+
+    def get_news(self, count: int = 20) -> List[Dict]:
+        """
+        获取最新快讯
+
+        Args:
+            count: 获取数量
+
+        Returns:
+            快讯字典列表
+        """
+        with self._lock:
+            news_list = list(self._news)[:count]
+            return [n.to_dict() for n in news_list]
+
+    def get_news_objects(self, count: int = 20) -> List[FlashNews]:
+        """获取快讯对象列表"""
+        with self._lock:
+            return list(self._news)[:count]
+
+    def get_news_by_id(self, news_id: str) -> Optional[FlashNews]:
+        """根据ID获取快讯"""
+        with self._lock:
+            for news in self._news:
+                if news.id == news_id:
+                    return news
+        return None
+
+    # ==================== 提醒状态 ====================
+
+    def is_alerted(self, news_id: str) -> bool:
+        """检查快讯是否已提醒"""
+        return news_id in self._alerted_ids
+
+    def mark_alerted(self, news_id: str) -> None:
+        """标记快讯已提醒"""
+        self._alerted_ids.add(news_id)
+
+    # ==================== 分析结果更新 ====================
+
+    def update_analysis(self, news_id: str, speaker: str, speaker_title: str, impact: Dict) -> bool:
+        """
+        更新快讯分析结果
+
+        Args:
+            news_id: 快讯ID
+            speaker: 发言人
+            speaker_title: 发言人职位
+            impact: 影响分析
+
+        Returns:
+            是否更新成功
+        """
+        with self._lock:
+            for news in self._news:
+                if news.id == news_id:
+                    news.speaker = speaker
+                    news.speaker_title = speaker_title
+                    news.impact = impact
+                    news.analyzed = True
+                    print(f"[FlashNewsStore] 更新快讯分析: {news_id}, 发言人={speaker}")
+                    return True
+        return False
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "total_news": len(self._news),
+                "alerted_news": len(self._alerted_ids)
+            }
+
+    def clear(self) -> None:
+        """清空所有数据"""
+        with self._lock:
+            self._news.clear()
+            self._alerted_ids.clear()
+            print("[FlashNewsStore] 已清空所有数据")
\ No newline at end of file
diff --git a/market/store/kline_store.py b/market/store/kline_store.py
new file mode 100644
index 0000000..3bdddc3
--- /dev/null
+++ b/market/store/kline_store.py
@@ -0,0 +1,285 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+K线数据存储模块
+按周期和Symbol存储K线数据
+"""
+
+from collections import defaultdict
+from datetime import datetime
+from typing import List, Dict, Optional
+import threading
+
+
+class KlineStore:
+    """K线数据存储（只负责数据CRUD，不包含业务逻辑）"""
+
+    # 支持的周期
+    PERIODS = ['H4', 'H1', 'M15', 'M5', 'M1']
+
+    # 各周期最大存储条数
+    MAX_KLINES = {
+        'H4': 1500,   # 4小时，6个月约1100根，留余量
+        'H1': 1000,   # 1小时，1个月约720根
+        'M15': 500,   # 15分钟，3天约288根
+        'M5': 400,    # 5分钟，24小时288根
+        'M1': 100     # 1分钟，1小时60根
+    }
+
+    # 各周期时间间隔（秒）
+    PERIOD_INTERVALS = {
+        'H4': 4 * 60 * 60,    # 4小时
+        'H1': 1 * 60 * 60,    # 1小时
+        'M15': 15 * 60,       # 15分钟
+        'M5': 5 * 60,         # 5分钟
+        'M1': 1 * 60          # 1分钟
+    }
+
+    def __init__(self):
+        # 存储结构: {SYMBOL: {PERIOD: [KlineData, ...]}}
+        # 这里存储的是字典格式，由 KlineService 转换
+        self._klines = defaultdict(lambda: defaultdict(list))
+        self._lock = threading.RLock()
+
+        # 标记每个symbol每个周期是否已收到全量数据
+        self._initialized = defaultdict(lambda: defaultdict(bool))
+
+        # 记录每个symbol的M1数据最后更新时间（本地时间）
+        self._m1_update_time = {}
+
+        print("[KlineStore] K线存储已初始化")
+
+    def save_klines(self, symbol: str, period: str, klines: List[Dict],
+                    is_full: bool = False) -> Dict:
+        """
+        保存K线数据（纯存储操作）
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            klines: K线字典列表
+            is_full: 是否为全量数据
+
+        Returns:
+            {"status": "ok", "count": N, "total": M, "is_full": bool}
+        """
+        period = period.upper()
+
+        if period not in self.PERIODS:
+            return {"status": "error", "message": f"不支持的周期: {period}"}
+
+        with self._lock:
+            if is_full:
+                self._klines[symbol][period] = []
+                print(f"[KlineStore] 收到 {symbol} {period} 全量数据，清空该周期历史数据")
+
+            new_count = 0
+            update_count = 0
+
+            for k in klines:
+                # 检查是否已存在相同时间戳的数据
+                existing = self._klines[symbol][period]
+                ts = self._normalize_timestamp(k.get('timestamp') or k.get('time'))
+
+                found_idx = -1
+                for i, existing_kline in enumerate(existing):
+                    if self._normalize_timestamp(existing_kline.get('timestamp') or existing_kline.get('time')) == ts:
+                        found_idx = i
+                        break
+
+                if found_idx >= 0:
+                    existing[found_idx] = k
+                    update_count += 1
+                else:
+                    existing.append(k)
+                    new_count += 1
+
+            # 按时间排序
+            self._klines[symbol][period].sort(
+                key=lambda x: self._normalize_timestamp(x.get('timestamp') or x.get('time'))
+            )
+
+            # 限制最大条数
+            max_count = self.MAX_KLINES.get(period, 500)
+            if len(self._klines[symbol][period]) > max_count:
+                self._klines[symbol][period] = self._klines[symbol][period][-max_count:]
+
+            self._initialized[symbol][period] = True
+
+            if period == 'M1' and (new_count > 0 or update_count > 0):
+                self._m1_update_time[symbol] = datetime.now()
+
+            total = len(self._klines[symbol][period])
+            print(f"[KlineStore] {symbol} {period} 保存了 {new_count} 条新数据, 更新 {update_count} 条, 当前共 {total} 条")
+
+            return {
+                "status": "ok",
+                "count": new_count,
+                "total": total,
+                "is_full": is_full
+            }
+
+    def get_klines(self, symbol: str, period: str, count: int = 100) -> List[Dict]:
+        """获取K线数据"""
+        period = period.upper()
+        with self._lock:
+            klines = self._klines[symbol][period][-count:]
+            return list(klines)
+
+    def get_all_klines(self, symbol: str, period: str) -> List[Dict]:
+        """获取所有K线数据"""
+        period = period.upper()
+        with self._lock:
+            return list(self._klines[symbol][period])
+
+    def get_latest_price(self, symbol: str) -> Optional[float]:
+        """获取最新价格（从K线的最新close，优先M1）"""
+        with self._lock:
+            actual_symbol = None
+            if symbol in self._klines:
+                actual_symbol = symbol
+            else:
+                symbol_base = symbol.replace('#', '')
+                for s in self._klines:
+                    if s.replace('#', '') == symbol_base:
+                        actual_symbol = s
+                        break
+
+            if not actual_symbol:
+                return None
+
+            for period in ['M1', 'M5', 'M15', 'H1', 'H4']:
+                klines = self._klines[actual_symbol][period]
+                if klines:
+                    return float(klines[-1].get('close', 0))
+            return None
+
+    def is_initialized(self, symbol: str, period: str) -> bool:
+        """检查某个周期的数据是否已初始化"""
+        period = period.upper()
+        return self._initialized[symbol][period]
+
+    def check_all_initialized(self, symbol: str) -> bool:
+        """检查所有周期是否都已初始化"""
+        return all(self._initialized[symbol][p] for p in self.PERIODS)
+
+    def clear_symbol(self, symbol: str):
+        """清除某个Symbol的数据"""
+        with self._lock:
+            if symbol in self._klines:
+                del self._klines[symbol]
+            if symbol in self._initialized:
+                del self._initialized[symbol]
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            status = {}
+            for symbol in self._klines:
+                status[symbol] = {}
+                for period in self.PERIODS:
+                    count = len(self._klines[symbol][period])
+                    initialized = self._initialized[symbol][period]
+                    status[symbol][period] = {
+                        "count": count,
+                        "initialized": initialized
+                    }
+            return status
+
+    def get_symbols(self) -> List[str]:
+        """获取所有有实际数据的symbol列表"""
+        with self._lock:
+            symbols = []
+            for symbol in self._klines:
+                has_data = False
+                for period in self.PERIODS:
+                    if len(self._klines[symbol][period]) > 0:
+                        has_data = True
+                        break
+                if has_data:
+                    symbols.append(symbol)
+            return symbols
+
+    def get_latest_kline_time(self, symbol: str, period: str = 'M1') -> Optional[datetime]:
+        """获取指定品种和周期的最新K线时间戳"""
+        period = period.upper()
+        with self._lock:
+            klines = self._klines[symbol][period]
+            if not klines:
+                return None
+
+            latest_ts = klines[-1].get('timestamp') or klines[-1].get('time')
+            return self._parse_timestamp(latest_ts)
+
+    def check_m1_updated_within(self, symbol: str, seconds: int = 180) -> Dict:
+        """检查M1 K线是否在指定秒数内更新"""
+        with self._lock:
+            has_m1_data = len(self._klines[symbol]['M1']) > 0
+
+            if not has_m1_data:
+                return {
+                    "has_data": False,
+                    "latest_time": None,
+                    "update_time": None,
+                    "seconds_ago": None,
+                    "is_stale": True,
+                    "market_status": "closed"
+                }
+
+            latest_time = self.get_latest_kline_time(symbol, 'M1')
+            update_time = self._m1_update_time.get(symbol)
+
+            if update_time is None:
+                return {
+                    "has_data": True,
+                    "latest_time": latest_time,
+                    "update_time": None,
+                    "seconds_ago": None,
+                    "is_stale": True,
+                    "market_status": "closed"
+                }
+
+            now = datetime.now()
+            seconds_ago = int((now - update_time).total_seconds())
+
+            if seconds_ago > seconds:
+                market_status = "stale"
+            else:
+                market_status = "active"
+
+            return {
+                "has_data": True,
+                "latest_time": latest_time,
+                "update_time": update_time,
+                "seconds_ago": seconds_ago,
+                "is_stale": seconds_ago > seconds,
+                "market_status": market_status
+            }
+
+    def get_period_interval(self, period: str) -> int:
+        """获取周期时间间隔（秒）"""
+        return self.PERIOD_INTERVALS.get(period.upper(), 60)
+
+    def get_m1_update_time(self, symbol: str) -> Optional[datetime]:
+        """获取M1数据最后更新时间"""
+        return self._m1_update_time.get(symbol)
+
+    def _normalize_timestamp(self, ts) -> str:
+        """标准化时间戳为字符串"""
+        if isinstance(ts, datetime):
+            return ts.strftime("%Y-%m-%d %H:%M:%S")
+        return str(ts) if ts else ""
+
+    def _parse_timestamp(self, ts) -> Optional[datetime]:
+        """解析时间戳为datetime对象"""
+        if ts is None:
+            return None
+        if isinstance(ts, datetime):
+            return ts
+        ts_str = str(ts)
+        for fmt in ["%Y-%m-%d %H:%M:%S", "%Y.%m.%d %H:%M", "%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M"]:
+            try:
+                return datetime.strptime(ts_str, fmt)
+            except:
+                continue
+        return None
\ No newline at end of file
diff --git a/market/store/llm_store.py b/market/store/llm_store.py
new file mode 100644
index 0000000..6ea8fbf
--- /dev/null
+++ b/market/store/llm_store.py
@@ -0,0 +1,190 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+LLM 分析结果存储模块
+"""
+
+import os
+import json
+from datetime import datetime
+from typing import Dict, Optional, List
+import threading
+
+from ..models import LLMConfig, LLMAnalysisResult
+
+
+class LLMStore:
+    """LLM 分析结果存储（只负责数据CRUD）"""
+
+    # 配置文件路径
+    CONFIG_FILE = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), "data", "llm_config.json")
+
+    # 入场价提醒冷却时间（秒）
+    ENTRY_ALERT_COOLDOWN = 300  # 5分钟
+
+    def __init__(self):
+        # 分析结果: {SYMBOL: LLMAnalysisResult}
+        self._analysis_results: Dict[str, LLMAnalysisResult] = {}
+        self._lock = threading.RLock()
+
+        # 配置
+        self._config = LLMConfig()
+
+        # 入场价提醒记录: {(symbol, period, direction, entry_price): datetime}
+        self._alerted_entries: Dict[tuple, datetime] = {}
+        self._entry_alert_lock = threading.Lock()
+
+        # 最后分析时间
+        self._last_analysis_time: Optional[str] = None
+
+        # 加载配置文件
+        self._load_config_from_file()
+
+        print("[LLMStore] LLM存储已初始化")
+
+    # ==================== 配置管理 ====================
+
+    def get_config(self) -> LLMConfig:
+        """获取配置"""
+        return self._config
+
+    def update_config(self, api_key: str = None, api_base: str = None, model: str = None) -> LLMConfig:
+        """更新配置"""
+        if api_key is not None:
+            self._config.api_key = api_key
+        if api_base is not None:
+            self._config.api_base = api_base
+        if model is not None:
+            self._config.model = model
+
+        self._save_config_to_file()
+        return self._config
+
+    def _load_config_from_file(self):
+        """从文件加载配置"""
+        try:
+            if os.path.exists(self.CONFIG_FILE):
+                with open(self.CONFIG_FILE, 'r', encoding='utf-8') as f:
+                    data = json.load(f)
+                    self._config = LLMConfig.from_dict(data)
+                print(f"[LLMStore] 已从文件加载配置: {self.CONFIG_FILE}")
+        except Exception as e:
+            print(f"[LLMStore] 加载配置文件失败: {e}")
+
+    def _save_config_to_file(self):
+        """保存配置到文件"""
+        try:
+            config_dir = os.path.dirname(self.CONFIG_FILE)
+            os.makedirs(config_dir, exist_ok=True)
+
+            data = {
+                "api_key": self._config.api_key,
+                "api_base": self._config.api_base,
+                "model": self._config.model
+            }
+            with open(self.CONFIG_FILE, 'w', encoding='utf-8') as f:
+                json.dump(data, f, indent=2, ensure_ascii=False)
+            print(f"[LLMStore] 配置已保存到文件")
+        except Exception as e:
+            print(f"[LLMStore] 保存配置文件失败: {e}")
+
+    # ==================== 分析结果管理 ====================
+
+    def save_analysis(self, result: LLMAnalysisResult):
+        """保存分析结果"""
+        with self._lock:
+            self._analysis_results[result.symbol] = result
+            self._last_analysis_time = datetime.now().isoformat()
+
+    def save_analysis_dict(self, symbol: str, analysis: Dict):
+        """从字典保存分析结果"""
+        result = LLMAnalysisResult.from_api_response(symbol, analysis)
+        self.save_analysis(result)
+
+    def get_analysis(self, symbol: str = None) -> Optional[Dict]:
+        """获取分析结果"""
+        with self._lock:
+            if symbol:
+                result = self._analysis_results.get(symbol)
+                return result.to_dict() if result else None
+            return {s: r.to_dict() for s, r in self._analysis_results.items()}
+
+    def get_analysis_result(self, symbol: str) -> Optional[LLMAnalysisResult]:
+        """获取分析结果对象"""
+        with self._lock:
+            return self._analysis_results.get(symbol)
+
+    def update_market_status(self, symbol: str, market_status: str, data_stale: bool = False,
+                              stale_seconds: int = None):
+        """更新市场状态"""
+        with self._lock:
+            if symbol in self._analysis_results:
+                self._analysis_results[symbol].market_status = market_status
+                self._analysis_results[symbol].data_stale = data_stale
+
+    def set_stale_status(self, symbol: str, stale: bool, seconds_ago: int = None):
+        """设置数据过期状态"""
+        with self._lock:
+            if symbol in self._analysis_results:
+                self._analysis_results[symbol].data_stale = stale
+
+    def get_analyzed_symbols(self) -> List[str]:
+        """获取已分析的品种列表"""
+        with self._lock:
+            return list(self._analysis_results.keys())
+
+    def get_last_analysis_time(self) -> Optional[str]:
+        """获取最后分析时间"""
+        return self._last_analysis_time
+
+    # ==================== 入场价提醒管理 ====================
+
+    def check_entry_alert_cooldown(self, symbol: str, period: str, direction: str,
+                                    entry_price: float) -> bool:
+        """
+        检查入场价提醒是否在冷却期
+
+        Returns:
+            True 表示可以提醒，False 表示在冷却期
+        """
+        key = (symbol, period, direction, entry_price)
+        current_time = datetime.now()
+
+        with self._entry_alert_lock:
+            if key in self._alerted_entries:
+                last_alert = self._alerted_entries[key]
+                elapsed = (current_time - last_alert).total_seconds()
+
+                if elapsed < self.ENTRY_ALERT_COOLDOWN:
+                    return False
+
+            # 记录提醒时间
+            self._alerted_entries[key] = current_time
+            return True
+
+    def cleanup_entry_alerts(self):
+        """清理过期的入场价提醒记录"""
+        current_time = datetime.now()
+
+        with self._entry_alert_lock:
+            keys_to_remove = []
+            for key, alert_time in self._alerted_entries.items():
+                elapsed = (current_time - alert_time).total_seconds()
+                if elapsed > self.ENTRY_ALERT_COOLDOWN * 2:
+                    keys_to_remove.append(key)
+
+            for key in keys_to_remove:
+                del self._alerted_entries[key]
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        with self._lock:
+            return {
+                "enabled": self._config.enabled,
+                "model": self._config.model,
+                "api_base": self._config.api_base,
+                "last_analysis_time": self._last_analysis_time,
+                "symbols_analyzed": list(self._analysis_results.keys())
+            }
\ No newline at end of file
diff --git a/market/store/pending_order_store.py b/market/store/pending_order_store.py
new file mode 100644
index 0000000..8e71ce4
--- /dev/null
+++ b/market/store/pending_order_store.py
@@ -0,0 +1,212 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+待确认订单存储模块
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+import threading
+from collections import defaultdict
+
+from ..models import PendingOrder
+
+
+class PendingOrderStore:
+    """待确认订单存储（只负责数据CRUD）"""
+
+    def __init__(self, timeout_seconds: int = 180):
+        # 按品种分类的订单: {symbol: [PendingOrder, ...]}
+        self._orders_by_symbol: Dict[str, List[PendingOrder]] = defaultdict(list)
+
+        # 按ID索引
+        self._orders_by_id: Dict[str, PendingOrder] = {}
+
+        # 线程锁
+        self._lock = threading.RLock()
+
+        # 超时时间
+        self.timeout_seconds = timeout_seconds
+
+        print("[PendingOrderStore] 待确认订单存储已初始化")
+
+    # ==================== 添加订单 ====================
+
+    def add_order(self, order: PendingOrder) -> str:
+        """
+        添加待确认订单
+
+        Args:
+            order: 待确认订单对象
+
+        Returns:
+            订单ID
+        """
+        with self._lock:
+            # 设置超时时间
+            order.TIMEOUT_SECONDS = self.timeout_seconds
+            order.expires_at = order.created_at + __import__('datetime').timedelta(seconds=self.timeout_seconds)
+
+            # 存储到两个字典
+            self._orders_by_symbol[order.symbol].append(order)
+            self._orders_by_id[order.order_id] = order
+
+            print(f"[PendingOrderStore] 添加订单: {order.order_id} {order.symbol} {order.action}")
+            return order.order_id
+
+    def add_order_from_dict(self, data: Dict) -> str:
+        """从字典添加订单"""
+        order = PendingOrder.from_dict(data)
+        return self.add_order(order)
+
+    # ==================== 查询订单 ====================
+
+    def get_order_by_id(self, order_id: str) -> Optional[PendingOrder]:
+        """根据ID获取订单"""
+        with self._lock:
+            return self._orders_by_id.get(order_id)
+
+    def get_pending_orders(self, symbol: str = None) -> List[PendingOrder]:
+        """
+        获取待确认订单列表
+
+        Args:
+            symbol: 品种，None返回所有
+
+        Returns:
+            订单列表
+        """
+        with self._lock:
+            if symbol:
+                orders = list(self._orders_by_symbol.get(symbol, []))
+            else:
+                orders = list(self._orders_by_id.values())
+
+            # 按创建时间倒序
+            return sorted(orders, key=lambda x: x.created_at, reverse=True)
+
+    def get_pending_orders_dict(self, symbol: str = None) -> List[Dict]:
+        """获取待确认订单字典列表"""
+        orders = self.get_pending_orders(symbol)
+        return [o.to_dict() for o in orders]
+
+    def get_pending_count(self, symbol: str = None) -> int:
+        """获取待确认订单数量"""
+        with self._lock:
+            if symbol:
+                return len([o for o in self._orders_by_symbol.get(symbol, []) if o.is_pending()])
+            return len([o for o in self._orders_by_id.values() if o.is_pending()])
+
+    # ==================== 更新订单状态 ====================
+
+    def confirm_order(self, order_id: str) -> Optional[PendingOrder]:
+        """
+        确认订单
+
+        Args:
+            order_id: 订单ID
+
+        Returns:
+            确认后的订单，不存在返回None
+        """
+        with self._lock:
+            order = self._orders_by_id.get(order_id)
+            if not order:
+                return None
+
+            # 从存储中移除
+            symbol = order.symbol
+            self._orders_by_symbol[symbol] = [
+                o for o in self._orders_by_symbol[symbol] if o.order_id != order_id
+            ]
+            del self._orders_by_id[order_id]
+
+            # 标记确认
+            order.confirm()
+
+            print(f"[PendingOrderStore] 订单已确认: {order_id}")
+            return order
+
+    def reject_order(self, order_id: str) -> Optional[PendingOrder]:
+        """
+        拒绝订单
+
+        Args:
+            order_id: 订单ID
+
+        Returns:
+            被拒绝的订单，不存在返回None
+        """
+        with self._lock:
+            order = self._orders_by_id.get(order_id)
+            if not order:
+                return None
+
+            # 从存储中移除
+            symbol = order.symbol
+            self._orders_by_symbol[symbol] = [
+                o for o in self._orders_by_symbol[symbol] if o.order_id != order_id
+            ]
+            del self._orders_by_id[order_id]
+
+            # 标记拒绝
+            order.reject()
+
+            print(f"[PendingOrderStore] 订单已拒绝: {order_id}")
+            return order
+
+    # ==================== 清理过期订单 ====================
+
+    def cleanup_expired(self) -> List[PendingOrder]:
+        """
+        清理过期订单
+
+        Returns:
+            过期的订单列表
+        """
+        expired_orders = []
+        current_time = datetime.now()
+
+        with self._lock:
+            expired_ids = []
+            for order_id, order in self._orders_by_id.items():
+                if order.is_expired() and order.status == "pending":
+                    order.mark_expired()
+                    expired_orders.append(order)
+                    expired_ids.append(order_id)
+
+            # 从存储中移除
+            for order in expired_orders:
+                symbol = order.symbol
+                self._orders_by_symbol[symbol] = [
+                    o for o in self._orders_by_symbol[symbol] if o.order_id != order.order_id
+                ]
+                del self._orders_by_id[order.order_id]
+
+        if expired_orders:
+            print(f"[PendingOrderStore] 清理过期订单: {len(expired_orders)}条")
+
+        return expired_orders
+
+    # ==================== 清空 ====================
+
+    def clear_all(self) -> int:
+        """清空所有待确认订单"""
+        with self._lock:
+            count = len(self._orders_by_id)
+            self._orders_by_symbol.clear()
+            self._orders_by_id.clear()
+            print(f"[PendingOrderStore] 已清空所有订单: {count}条")
+            return count
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            pending_count = len([o for o in self._orders_by_id.values() if o.is_pending()])
+            return {
+                "total_orders": len(self._orders_by_id),
+                "pending_count": pending_count,
+                "symbols": list(self._orders_by_symbol.keys()),
+            }
\ No newline at end of file
diff --git a/market/store/pivot_store.py b/market/store/pivot_store.py
new file mode 100644
index 0000000..86015ab
--- /dev/null
+++ b/market/store/pivot_store.py
@@ -0,0 +1,145 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+转折点存储模块
+存储和管理转折点数据
+"""
+
+from collections import defaultdict
+from datetime import datetime
+from typing import List, Dict, Optional
+import threading
+
+from ..models import PivotPoint
+
+
+class PivotStore:
+    """转折点存储（只负责数据CRUD）"""
+
+    def __init__(self):
+        # 存储转折点: {SYMBOL: {PERIOD: [PivotPoint, ...]}}
+        self._pivots = defaultdict(lambda: defaultdict(list))
+
+        # 转折点时间线: {SYMBOL: {PERIOD: [PivotPoint, ...]}}
+        self._pivots_timeline = defaultdict(lambda: defaultdict(list))
+
+        self._lock = threading.RLock()
+
+        print("[PivotStore] 转折点存储已初始化")
+
+    def save_pivots(self, symbol: str, period: str, pivots: List[PivotPoint],
+                    timeline: List[PivotPoint] = None):
+        """
+        保存转折点数据
+
+        Args:
+            symbol: 交易品种
+            period: 周期
+            pivots: 合并后的转折点列表
+            timeline: 时间线转折点列表（可选）
+        """
+        with self._lock:
+            self._pivots[symbol][period] = list(pivots)
+            if timeline is not None:
+                self._pivots_timeline[symbol][period] = list(timeline)
+            else:
+                self._pivots_timeline[symbol][period] = list(pivots)
+
+    def get_pivots(self, symbol: str, period: str, direction: str = None,
+                   count: int = 50) -> List[Dict]:
+        """获取转折点数据"""
+        with self._lock:
+            pivots = list(self._pivots[symbol][period])
+
+            if direction:
+                pivots = [p for p in pivots if p.direction == direction]
+
+            pivots = sorted(pivots, key=lambda x: str(x.timestamp), reverse=True)[:count]
+            return [p.to_dict() for p in pivots]
+
+    def get_pivot_objects(self, symbol: str, period: str = None) -> List[PivotPoint]:
+        """获取转折点对象（用于内部计算）"""
+        with self._lock:
+            if period:
+                return list(self._pivots[symbol][period])
+            else:
+                # 返回所有周期
+                result = []
+                for p in self._pivots[symbol]:
+                    result.extend(self._pivots[symbol][p])
+                return result
+
+    def get_timeline(self, symbol: str, period: str) -> List[PivotPoint]:
+        """获取时间线转折点（用于判断趋势）"""
+        with self._lock:
+            return list(self._pivots_timeline[symbol][period])
+
+    def get_all_periods(self, symbol: str) -> List[str]:
+        """获取有转折点数据的所有周期"""
+        with self._lock:
+            return list(self._pivots[symbol].keys())
+
+    def clear_symbol(self, symbol: str):
+        """清除某个Symbol的转折点数据"""
+        with self._lock:
+            if symbol in self._pivots:
+                del self._pivots[symbol]
+            if symbol in self._pivots_timeline:
+                del self._pivots_timeline[symbol]
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        with self._lock:
+            status = {}
+            for symbol in self._pivots:
+                status[symbol] = {}
+                for period in self._pivots[symbol]:
+                    count = len(self._pivots[symbol][period])
+                    status[symbol][period] = {"pivot_count": count}
+            return status
+
+    def find_nearest_pivot_price(self, symbol: str, direction: str,
+                                  current_price: float) -> Optional[float]:
+        """
+        找到离当前价格最近的转折点价格
+
+        Args:
+            symbol: 交易品种
+            direction: 'high' 或 'low'
+            current_price: 当前价格
+
+        Returns:
+            最近的转折点价格，如果没有返回None
+        """
+        nearest_price = None
+        min_distance = float('inf')
+        total_pivots = 0
+        filtered_pivots = 0
+
+        with self._lock:
+            for period in self._pivots[symbol]:
+                pivots = self._pivots[symbol][period]
+                total_pivots += len(pivots)
+
+                for pivot in pivots:
+                    if pivot.direction != direction:
+                        continue
+
+                    if direction == 'high' and pivot.price <= current_price:
+                        filtered_pivots += 1
+                        continue
+                    if direction == 'low' and pivot.price >= current_price:
+                        filtered_pivots += 1
+                        continue
+
+                    distance = abs(pivot.price - current_price)
+                    if distance < min_distance:
+                        min_distance = distance
+                        nearest_price = pivot.price
+
+        if nearest_price is None and total_pivots > 0:
+            print(f"[PivotStore] find_nearest_pivot_price: 未找到 {direction} 转折点, "
+                  f"current_price={current_price:.2f}, "
+                  f"total_pivots={total_pivots}, filtered={filtered_pivots}")
+
+        return nearest_price
\ No newline at end of file
diff --git a/market/store/position_store.py b/market/store/position_store.py
new file mode 100644
index 0000000..123b93c
--- /dev/null
+++ b/market/store/position_store.py
@@ -0,0 +1,154 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+持仓数据存储模块
+"""
+
+from collections import defaultdict
+from datetime import datetime
+from typing import List, Dict, Optional
+import threading
+
+from ..models.position import PositionData
+
+
+class PositionStore:
+    """
+    持仓数据存储
+
+    EA通过 /ea/positions 上报持仓数据
+    """
+
+    def __init__(self):
+        # 存储结构: {symbol: {ticket: PositionData}}
+        self._positions: Dict[str, Dict[int, PositionData]] = defaultdict(dict)
+        self._lock = threading.RLock()
+
+        # 最后更新时间
+        self._last_update_time: Dict[str, datetime] = {}
+
+        print("[PositionStore] 持仓存储已初始化")
+
+    def update(self, symbol: str, positions: List[PositionData]) -> Dict:
+        """
+        更新持仓数据
+
+        Args:
+            symbol: 上报的品种
+            positions: 持仓列表
+
+        Returns:
+            {"status": "ok", "count": N, "closed": M}
+        """
+        with self._lock:
+            # 获取当前品种的持仓ticket
+            current_tickets = set(self._positions[symbol].keys())
+            new_tickets = set()
+
+            for pos in positions:
+                new_tickets.add(pos.ticket)
+                # 使用持仓数据中的symbol（可能与上报品种不同）
+                pos_symbol = pos.symbol or symbol
+                self._positions[pos_symbol][pos.ticket] = pos
+
+            # 删除已平仓的持仓
+            closed_tickets = current_tickets - new_tickets
+            for ticket in closed_tickets:
+                if ticket in self._positions[symbol]:
+                    del self._positions[symbol][ticket]
+
+            # 更新最后更新时间
+            self._last_update_time[symbol] = datetime.now()
+
+            result = {
+                "status": "ok",
+                "count": len(self._positions[symbol]),
+                "closed": len(closed_tickets)
+            }
+
+            print(f"[PositionStore] {symbol}: {result['count']} 持仓, {result['closed']} 平仓")
+            return result
+
+    def get(self, symbol: str = None) -> List[PositionData]:
+        """获取持仓数据"""
+        with self._lock:
+            if symbol:
+                return list(self._positions[symbol].values())
+            else:
+                result = []
+                for sym in self._positions:
+                    result.extend(self._positions[sym].values())
+                return result
+
+    def get_dict(self, symbol: str = None) -> List[Dict]:
+        """获取持仓数据（字典格式）"""
+        return [p.to_dict() for p in self.get(symbol)]
+
+    def get_by_ticket(self, symbol: str, ticket: int) -> Optional[PositionData]:
+        """根据ticket获取持仓"""
+        with self._lock:
+            return self._positions[symbol].get(ticket)
+
+    def remove(self, symbol: str, ticket: int) -> bool:
+        """删除持仓"""
+        with self._lock:
+            if ticket in self._positions[symbol]:
+                del self._positions[symbol][ticket]
+                return True
+            return False
+
+    def get_count(self, symbol: str = None) -> int:
+        """获取持仓数量"""
+        return len(self.get(symbol))
+
+    def get_count_by_direction(self, symbol: str, direction: str) -> int:
+        """获取指定方向的持仓数量"""
+        with self._lock:
+            count = 0
+            direction = direction.lower()
+            for pos in self._positions[symbol].values():
+                if direction == "buy" and pos.is_buy:
+                    count += 1
+                elif direction == "sell" and pos.is_sell:
+                    count += 1
+            return count
+
+    def get_summary(self, symbol: str = None) -> Dict:
+        """获取持仓汇总"""
+        positions = self.get(symbol)
+
+        total_profit = sum(p.profit for p in positions)
+        buy_count = sum(1 for p in positions if p.is_buy)
+        sell_count = sum(1 for p in positions if p.is_sell)
+
+        return {
+            "total_count": len(positions),
+            "total_profit": round(total_profit, 2),
+            "buy_count": buy_count,
+            "sell_count": sell_count,
+            "positions": [p.to_dict() for p in positions],
+            "last_update": self._last_update_time.get(symbol) or max(self._last_update_time.values(), default=None)
+        }
+
+    def get_symbols(self) -> List[str]:
+        """获取所有有持仓的品种"""
+        with self._lock:
+            return [s for s in self._positions if self._positions[s]]
+
+    def clear_symbol(self, symbol: str) -> None:
+        """清除指定品种的持仓"""
+        with self._lock:
+            if symbol in self._positions:
+                del self._positions[symbol]
+            if symbol in self._last_update_time:
+                del self._last_update_time[symbol]
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            total_count = sum(len(pos) for pos in self._positions.values())
+            return {
+                "total_positions": total_count,
+                "symbol_count": len([s for s in self._positions if self._positions[s]]),
+                "symbols": self.get_symbols()
+            }
\ No newline at end of file
diff --git a/market/store/signal_store.py b/market/store/signal_store.py
new file mode 100644
index 0000000..9602d95
--- /dev/null
+++ b/market/store/signal_store.py
@@ -0,0 +1,179 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+信号存储模块
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+import threading
+from collections import defaultdict
+
+from ..models import TradingSignal, SignalSource, SignalStatus
+
+
+class SignalStore:
+    """信号存储（只负责数据CRUD）"""
+
+    def __init__(self, default_ttl: int = 300):
+        # 按品种分类的信号: {symbol: [TradingSignal, ...]}
+        self._signals_by_symbol: Dict[str, List[TradingSignal]] = defaultdict(list)
+
+        # 按ID索引
+        self._signals_by_id: Dict[str, TradingSignal] = {}
+
+        # 线程锁
+        self._lock = threading.RLock()
+
+        # 默认信号有效期
+        self.default_ttl = default_ttl
+
+        print("[SignalStore] 信号存储已初始化")
+
+    # ==================== 添加信号 ====================
+
+    def add_signal(self, signal: TradingSignal) -> str:
+        """添加信号"""
+        with self._lock:
+            signal.DEFAULT_TTL = self.default_ttl
+            self._signals_by_symbol[signal.symbol].append(signal)
+            self._signals_by_id[signal.signal_id] = signal
+
+            print(f"[SignalStore] 添加信号: {signal.signal_id} {signal.symbol} {signal.action} (来源: {signal.source})")
+            return signal.signal_id
+
+    # ==================== 查询信号 ====================
+
+    def get_signal_by_id(self, signal_id: str) -> Optional[TradingSignal]:
+        """根据ID获取信号"""
+        with self._lock:
+            return self._signals_by_id.get(signal_id)
+
+    def get_active_signals(self, symbol: str = None) -> List[TradingSignal]:
+        """获取活跃信号"""
+        with self._lock:
+            if symbol:
+                signals = self._signals_by_symbol.get(symbol, [])
+            else:
+                signals = list(self._signals_by_id.values())
+
+            # 过滤活跃信号
+            active = [s for s in signals if s.is_active()]
+            return sorted(active, key=lambda x: x.created_at, reverse=True)
+
+    def get_active_signals_by_source(self, symbol: str, source: str) -> List[TradingSignal]:
+        """获取指定来源的活跃信号"""
+        signals = self.get_active_signals(symbol)
+        return [s for s in signals if s.source == source]
+
+    def get_signals_dict(self, symbol: str = None) -> List[Dict]:
+        """获取信号字典列表"""
+        signals = self.get_active_signals(symbol)
+        return [s.to_dict() for s in signals]
+
+    def get_signal_count(self, symbol: str = None, source: str = None) -> int:
+        """获取信号数量"""
+        if source:
+            return len(self.get_active_signals_by_source(symbol or "", source))
+        return len(self.get_active_signals(symbol))
+
+    # ==================== 更新信号状态 ====================
+
+    def mark_signal_used(self, signal_id: str) -> bool:
+        """标记信号为已使用"""
+        with self._lock:
+            signal = self._signals_by_id.get(signal_id)
+            if signal:
+                signal.mark_used()
+                return True
+            return False
+
+    def mark_signal_expired(self, signal_id: str) -> bool:
+        """标记信号为已过期"""
+        with self._lock:
+            signal = self._signals_by_id.get(signal_id)
+            if signal:
+                signal.mark_expired()
+                return True
+            return False
+
+    # ==================== 清理过期信号 ====================
+
+    def cleanup_expired(self) -> int:
+        """清理过期信号"""
+        with self._lock:
+            expired_ids = []
+            for signal_id, signal in self._signals_by_id.items():
+                if signal.is_expired() and signal.status == SignalStatus.ACTIVE:
+                    signal.mark_expired()
+                    expired_ids.append(signal_id)
+
+            # 从存储中移除过期信号
+            for signal_id in expired_ids:
+                signal = self._signals_by_id[signal_id]
+                symbol = signal.symbol
+                self._signals_by_symbol[symbol] = [
+                    s for s in self._signals_by_symbol[symbol] if s.signal_id != signal_id
+                ]
+                del self._signals_by_id[signal_id]
+
+            if expired_ids:
+                print(f"[SignalStore] 清理过期信号: {len(expired_ids)}条")
+
+            return len(expired_ids)
+
+    # ==================== 清空 ====================
+
+    def clear_by_symbol(self, symbol: str) -> int:
+        """清空指定品种的信号"""
+        with self._lock:
+            signals = self._signals_by_symbol.get(symbol, [])
+            count = len(signals)
+
+            for signal in signals:
+                if signal.signal_id in self._signals_by_id:
+                    del self._signals_by_id[signal.signal_id]
+
+            if symbol in self._signals_by_symbol:
+                del self._signals_by_symbol[symbol]
+
+            return count
+
+    def clear_all(self) -> int:
+        """清空所有信号"""
+        with self._lock:
+            count = len(self._signals_by_id)
+            self._signals_by_symbol.clear()
+            self._signals_by_id.clear()
+            return count
+
+    # ==================== 统计 ====================
+
+    def get_signal_stats(self, symbol: str) -> Dict:
+        """获取信号统计"""
+        signals = self.get_active_signals(symbol)
+
+        buy_signals = [s for s in signals if s.action == "buy"]
+        sell_signals = [s for s in signals if s.action == "sell"]
+
+        by_source = {}
+        for source in [SignalSource.PIVOT, SignalSource.KEY_LEVEL, SignalSource.AI_ENTRY]:
+            by_source[source] = len([s for s in signals if s.source == source])
+
+        return {
+            "symbol": symbol,
+            "total": len(signals),
+            "buy_count": len(buy_signals),
+            "sell_count": len(sell_signals),
+            "by_source": by_source,
+        }
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "total_signals": len(self._signals_by_id),
+                "symbols": list(self._signals_by_symbol.keys()),
+            }
\ No newline at end of file
diff --git a/market/store/statistics_store.py b/market/store/statistics_store.py
new file mode 100644
index 0000000..afa2260
--- /dev/null
+++ b/market/store/statistics_store.py
@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+统计数据存储模块
+"""
+
+from collections import deque, defaultdict
+from datetime import datetime, timedelta
+from typing import List, Dict, Optional
+import threading
+
+from ..models.statistics import StatisticsData
+
+
+class StatisticsStore:
+    """
+    统计数据存储
+
+    保留最近的数据用于：
+    1. 获取品种价差
+    2. 获取账户信息
+    """
+
+    def __init__(self, max_per_symbol: int = 10, max_total: int = 100):
+        """
+        Args:
+            max_per_symbol: 每个品种保留的最大记录数
+            max_total: 总共保留的最大记录数
+        """
+        # 按品种分组存储
+        self._by_symbol: Dict[str, deque] = defaultdict(lambda: deque(maxlen=max_per_symbol))
+
+        # 全局存储（用于获取最新账户信息）
+        self._all_data: deque = deque(maxlen=max_total)
+
+        # 线程锁
+        self._lock = threading.RLock()
+
+        print(f"[StatisticsStore] 统计数据存储已初始化 (max_per_symbol={max_per_symbol}, max_total={max_total})")
+
+    def add(self, data: StatisticsData) -> None:
+        """添加统计数据"""
+        with self._lock:
+            self._by_symbol[data.symbol].append(data)
+            self._all_data.append(data)
+
+    def get_latest(self, symbol: str = None) -> Optional[StatisticsData]:
+        """获取最新的统计数据"""
+        with self._lock:
+            if symbol:
+                if self._by_symbol[symbol]:
+                    return self._by_symbol[symbol][-1]
+                return None
+            else:
+                if self._all_data:
+                    return self._all_data[-1]
+                return None
+
+    def get_by_symbol(self, symbol: str, count: int = 10) -> List[StatisticsData]:
+        """获取指定品种的统计数据"""
+        with self._lock:
+            data = list(self._by_symbol[symbol])[-count:]
+            return data
+
+    def get_spread(self, symbol: str) -> Optional[float]:
+        """获取品种价差"""
+        with self._lock:
+            # 规范化品种名称（去掉#后缀）
+            symbol_normalized = symbol.replace('#', '')
+            for stat in reversed(list(self._all_data)):
+                stat_normalized = stat.symbol.replace('#', '')
+                if stat_normalized == symbol_normalized:
+                    if stat.spread > 0:
+                        return stat.spread
+            return None
+
+    def get_account_info(self, symbol: str = None) -> Dict:
+        """获取账户信息"""
+        latest = self.get_latest(symbol)
+        if not latest:
+            return {
+                "balance": 0,
+                "equity": 0,
+                "margin_level": 0
+            }
+        return {
+            "balance": latest.balance,
+            "equity": latest.equity,
+            "margin_level": latest.margin_level
+        }
+
+    def get_all_recent(self, count: int = 10) -> List[StatisticsData]:
+        """获取最近的所有统计数据"""
+        with self._lock:
+            return list(self._all_data)[-count:]
+
+    def clear(self) -> None:
+        """清空数据"""
+        with self._lock:
+            self._by_symbol.clear()
+            self._all_data.clear()
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "total_count": len(self._all_data),
+                "symbol_count": len(self._by_symbol),
+                "symbols": list(self._by_symbol.keys())
+            }
\ No newline at end of file
diff --git a/market/store/strategy_store.py b/market/store/strategy_store.py
new file mode 100644
index 0000000..91e2048
--- /dev/null
+++ b/market/store/strategy_store.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+策略配置存储模块
+"""
+
+from typing import List, Dict, Optional
+import threading
+import json
+import os
+
+from ..models import TradingStrategy
+
+
+# 配置文件路径
+CONFIG_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data')
+
+
+class StrategyStore:
+    """策略配置存储"""
+
+    def __init__(self):
+        # 策略配置: {symbol: TradingStrategy}
+        self._strategies: Dict[str, TradingStrategy] = {}
+
+        # 线程锁
+        self._lock = threading.RLock()
+
+        # 从文件加载
+        self._load_from_file()
+
+        print("[StrategyStore] 策略配置存储已初始化")
+
+    def _get_config_file(self) -> str:
+        """获取配置文件路径"""
+        return os.path.join(CONFIG_DIR, 'strategy_config.json')
+
+    def _load_from_file(self) -> None:
+        """从文件加载配置"""
+        try:
+            config_file = self._get_config_file()
+            if os.path.exists(config_file):
+                with open(config_file, 'r', encoding='utf-8') as f:
+                    data = json.load(f)
+                    for symbol, strategy_data in data.get('strategies', {}).items():
+                        self._strategies[symbol] = TradingStrategy.from_dict(strategy_data)
+                print(f"[StrategyStore] 从文件加载 {len(self._strategies)} 个策略配置")
+        except Exception as e:
+            print(f"[StrategyStore] 加载配置文件失败: {e}")
+
+    def save_to_file(self) -> bool:
+        """保存配置到文件"""
+        try:
+            os.makedirs(CONFIG_DIR, exist_ok=True)
+            config_file = self._get_config_file()
+
+            data = {
+                "strategies": {
+                    symbol: strategy.to_dict()
+                    for symbol, strategy in self._strategies.items()
+                }
+            }
+
+            with open(config_file, 'w', encoding='utf-8') as f:
+                json.dump(data, f, indent=2, ensure_ascii=False)
+
+            print(f"[StrategyStore] 配置已保存到: {config_file}")
+            return True
+        except Exception as e:
+            print(f"[StrategyStore] 保存配置文件失败: {e}")
+            return False
+
+    # ==================== 策略管理 ====================
+
+    def get_strategy(self, symbol: str) -> Optional[TradingStrategy]:
+        """获取品种的策略配置"""
+        with self._lock:
+            return self._strategies.get(symbol)
+
+    def get_or_create_strategy(self, symbol: str) -> TradingStrategy:
+        """获取或创建策略配置"""
+        with self._lock:
+            if symbol not in self._strategies:
+                self._strategies[symbol] = TradingStrategy(symbol=symbol)
+            return self._strategies[symbol]
+
+    def set_strategy(self, strategy: TradingStrategy) -> None:
+        """设置策略配置"""
+        with self._lock:
+            self._strategies[strategy.symbol] = strategy
+            self.save_to_file()
+
+    def update_strategy(self, symbol: str, data: Dict) -> Optional[TradingStrategy]:
+        """更新策略配置"""
+        with self._lock:
+            strategy = self.get_or_create_strategy(symbol)
+            strategy.update(data)
+            self.save_to_file()
+            return strategy
+
+    def delete_strategy(self, symbol: str) -> bool:
+        """删除策略配置"""
+        with self._lock:
+            if symbol in self._strategies:
+                del self._strategies[symbol]
+                self.save_to_file()
+                return True
+            return False
+
+    # ==================== 查询 ====================
+
+    def get_all_strategies(self) -> List[TradingStrategy]:
+        """获取所有策略配置"""
+        with self._lock:
+            return list(self._strategies.values())
+
+    def get_all_strategies_dict(self) -> Dict[str, Dict]:
+        """获取所有策略配置字典"""
+        with self._lock:
+            return {
+                symbol: strategy.to_dict()
+                for symbol, strategy in self._strategies.items()
+            }
+
+    def get_enabled_strategies(self) -> List[TradingStrategy]:
+        """获取所有启用的策略"""
+        with self._lock:
+            return [s for s in self._strategies.values() if s.enabled]
+
+    def get_enabled_symbols(self) -> List[str]:
+        """获取所有启用策略的品种"""
+        with self._lock:
+            return [symbol for symbol, strategy in self._strategies.items() if strategy.enabled]
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "total_strategies": len(self._strategies),
+                "enabled_strategies": len(self.get_enabled_strategies()),
+                "symbols": list(self._strategies.keys()),
+            }
\ No newline at end of file
diff --git a/market/store/tech_store.py b/market/store/tech_store.py
new file mode 100644
index 0000000..7326cdf
--- /dev/null
+++ b/market/store/tech_store.py
@@ -0,0 +1,91 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+技术分析结果存储模块
+"""
+
+from collections import defaultdict
+from typing import Dict, List, Optional
+import threading
+
+from ..models import TechTrendState, TechTrendChange
+
+
+class TechStore:
+    """技术分析结果存储（只负责数据CRUD）"""
+
+    def __init__(self):
+        # 趋势状态: {SYMBOL: {PERIOD: TechTrendState}}
+        self._trend_states: Dict[str, Dict[str, TechTrendState]] = defaultdict(lambda: defaultdict(dict))
+        self._lock = threading.RLock()
+
+        # 趋势转换历史: {SYMBOL: [TechTrendChange, ...]}
+        self._trend_changes: Dict[str, List[TechTrendChange]] = defaultdict(list)
+
+        # 最大历史记录数
+        self.MAX_CHANGES = 20
+
+        print("[TechStore] 技术分析存储已初始化")
+
+    # ==================== 趋势状态 ====================
+
+    def save_trend_state(self, state: TechTrendState):
+        """保存趋势状态"""
+        with self._lock:
+            self._trend_states[state.symbol][state.period] = state
+
+    def get_trend_state(self, symbol: str, period: str = None) -> Dict:
+        """获取趋势状态"""
+        with self._lock:
+            if period:
+                state = self._trend_states[symbol].get(period)
+                return state.to_dict() if state else {}
+            return {p: s.to_dict() for p, s in self._trend_states[symbol].items()}
+
+    def get_trend_state_object(self, symbol: str, period: str) -> Optional[TechTrendState]:
+        """获取趋势状态对象"""
+        with self._lock:
+            return self._trend_states[symbol].get(period)
+
+    def get_all_trend_states(self, symbol: str) -> Dict[str, TechTrendState]:
+        """获取某品种所有周期的趋势状态"""
+        with self._lock:
+            return dict(self._trend_states[symbol])
+
+    # ==================== 趋势转换历史 ====================
+
+    def add_trend_change(self, symbol: str, change: TechTrendChange):
+        """添加趋势转换记录"""
+        with self._lock:
+            self._trend_changes[symbol].append(change)
+            # 限制数量
+            if len(self._trend_changes[symbol]) > self.MAX_CHANGES:
+                self._trend_changes[symbol] = self._trend_changes[symbol][-self.MAX_CHANGES:]
+
+    def get_trend_changes(self, symbol: str, count: int = 10) -> List[Dict]:
+        """获取趋势转换历史"""
+        with self._lock:
+            changes = self._trend_changes[symbol][-count:]
+            return [c.to_dict() for c in changes]
+
+    # ==================== 清理 ====================
+
+    def clear_symbol(self, symbol: str):
+        """清除某品种的数据"""
+        with self._lock:
+            if symbol in self._trend_states:
+                del self._trend_states[symbol]
+            if symbol in self._trend_changes:
+                del self._trend_changes[symbol]
+
+    # ==================== 状态 ====================
+
+    def get_status(self) -> Dict:
+        """获取状态"""
+        with self._lock:
+            symbols = list(self._trend_states.keys())
+            total_states = sum(len(periods) for periods in self._trend_states.values())
+            return {
+                "symbols": symbols,
+                "total_states": total_states
+            }
\ No newline at end of file
diff --git a/market/store/trade_history_store.py b/market/store/trade_history_store.py
new file mode 100644
index 0000000..816d065
--- /dev/null
+++ b/market/store/trade_history_store.py
@@ -0,0 +1,199 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易历史存储模块
+"""
+
+from collections import defaultdict
+from datetime import datetime, timedelta
+from typing import List, Dict, Optional
+import threading
+
+from ..models.trade_history import TradeDeal
+
+
+class TradeHistoryStore:
+    """
+    交易历史存储
+
+    EA通过 /trade_history 上报成交记录
+    """
+
+    def __init__(self, retention_hours: int = 24):
+        """
+        Args:
+            retention_hours: 数据保留时长（小时）
+        """
+        self._deals: List[TradeDeal] = []
+        self._lock = threading.RLock()
+        self._retention_hours = retention_hours
+        self._last_update_time: Optional[datetime] = None
+
+        print(f"[TradeHistoryStore] 交易历史存储已初始化 (retention={retention_hours}h)")
+
+    def add(self, deals: List[TradeDeal]) -> int:
+        """
+        添加成交记录
+
+        Args:
+            deals: 成交记录列表
+
+        Returns:
+            新增记录数
+        """
+        if not deals:
+            return 0
+
+        now = datetime.now()
+        new_count = 0
+
+        with self._lock:
+            # 获取已有ticket
+            existing_tickets = {d.ticket for d in self._deals}
+
+            for deal in deals:
+                if deal.ticket not in existing_tickets:
+                    self._deals.append(deal)
+                    new_count += 1
+
+            # 按时间排序
+            self._deals.sort(key=lambda d: d.time or datetime.min, reverse=True)
+
+            # 清理过期数据
+            cutoff = now - timedelta(hours=self._retention_hours)
+            self._deals = [d for d in self._deals if d.time and d.time > cutoff]
+
+            self._last_update_time = now
+
+        if new_count > 0:
+            print(f"[TradeHistoryStore] 新增 {new_count} 条记录，当前共 {len(self._deals)} 条")
+
+        return new_count
+
+    def get(self, symbol: str = None, hours: int = None) -> List[TradeDeal]:
+        """
+        获取成交记录
+
+        Args:
+            symbol: 品种，None表示所有品种
+            hours: 最近N小时，None表示使用默认值
+
+        Returns:
+            成交记录列表
+        """
+        with self._lock:
+            deals = self._deals
+
+            if symbol:
+                deals = [d for d in deals if d.symbol == symbol]
+
+            if hours:
+                cutoff = datetime.now() - timedelta(hours=hours)
+                deals = [d for d in deals if d.time and d.time > cutoff]
+
+            return deals
+
+    def get_dict(self, symbol: str = None, hours: int = None) -> List[Dict]:
+        """获取成交记录（字典格式）"""
+        return [d.to_dict() for d in self.get(symbol, hours)]
+
+    def get_statistics(self, symbol: str = None) -> Dict:
+        """
+        获取交易统计
+
+        Returns:
+            统计数据
+        """
+        deals = self.get(symbol)
+
+        if not deals:
+            return {
+                "total_count": 0,
+                "symbols": {},
+                "manual_count": 0,
+                "auto_count": 0,
+                "sl_tp_count": 0,
+                "so_count": 0,
+                "total_profit": 0,
+                "total_swap": 0,
+                "total_commission": 0,
+                "net_profit": 0
+            }
+
+        # 按品种统计
+        symbols = defaultdict(lambda: {"count": 0, "profit": 0, "volume": 0})
+
+        # 分类统计
+        manual_count = 0
+        auto_count = 0
+        sl_tp_count = 0
+        so_count = 0
+
+        total_profit = 0
+        total_swap = 0
+        total_commission = 0
+
+        for deal in deals:
+            # 品种统计
+            symbols[deal.symbol]["count"] += 1
+            symbols[deal.symbol]["profit"] += deal.profit
+            symbols[deal.symbol]["volume"] += deal.volume
+
+            # 分类统计
+            source = deal.order_source
+            if source == "手动":
+                manual_count += 1
+            elif source in ["止损触发", "止盈触发"]:
+                sl_tp_count += 1
+            elif source == "强制平仓":
+                so_count += 1
+            else:
+                auto_count += 1
+
+            # 总计
+            total_profit += deal.profit
+            total_swap += deal.swap
+            total_commission += deal.commission
+
+        # 转换symbols为普通字典
+        symbols_dict = {}
+        for sym, data in symbols.items():
+            symbols_dict[sym] = {
+                "count": data["count"],
+                "profit": round(data["profit"], 2),
+                "volume": round(data["volume"], 2)
+            }
+
+        return {
+            "total_count": len(deals),
+            "symbols": symbols_dict,
+            "manual_count": manual_count,
+            "auto_count": auto_count,
+            "sl_tp_count": sl_tp_count,
+            "so_count": so_count,
+            "total_profit": round(total_profit, 2),
+            "total_swap": round(total_swap, 2),
+            "total_commission": round(total_commission, 2),
+            "net_profit": round(total_profit + total_swap - total_commission, 2),
+            "last_update": self._last_update_time.isoformat() if self._last_update_time else None
+        }
+
+    def get_recent_profit(self, symbol: str = None, hours: int = 24) -> float:
+        """获取最近N小时的盈亏"""
+        deals = self.get(symbol, hours)
+        return sum(d.profit for d in deals)
+
+    def clear(self) -> None:
+        """清空数据"""
+        with self._lock:
+            self._deals.clear()
+            self._last_update_time = None
+            print("[TradeHistoryStore] 已清空")
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            return {
+                "deals_count": len(self._deals),
+                "last_update": self._last_update_time.isoformat() if self._last_update_time else None
+            }
\ No newline at end of file
diff --git a/market/store/trading_instruction_store.py b/market/store/trading_instruction_store.py
new file mode 100644
index 0000000..6114fd5
--- /dev/null
+++ b/market/store/trading_instruction_store.py
@@ -0,0 +1,225 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易指令存储模块
+"""
+
+from typing import List, Dict, Optional
+from datetime import datetime
+import threading
+from collections import defaultdict
+
+from ..models import TradingInstruction
+
+
+class TradingInstructionStore:
+    """交易指令存储（只负责数据CRUD）"""
+
+    def __init__(self):
+        # 按品种分类的指令: {symbol: [TradingInstruction, ...]}
+        self._instructions_by_symbol: Dict[str, List[TradingInstruction]] = defaultdict(list)
+
+        # 按ID索引
+        self._instructions_by_id: Dict[str, TradingInstruction] = {}
+
+        # 线程锁
+        self._lock = threading.RLock()
+
+        print("[TradingInstructionStore] 交易指令存储已初始化")
+
+    # ==================== 添加指令 ====================
+
+    def add_instruction(self, instruction: TradingInstruction) -> str:
+        """
+        添加交易指令
+
+        Args:
+            instruction: 交易指令对象
+
+        Returns:
+            指令ID
+        """
+        with self._lock:
+            symbol = instruction.symbol.upper()
+
+            # 存储到两个字典
+            self._instructions_by_symbol[symbol].append(instruction)
+            self._instructions_by_id[instruction.instruction_id] = instruction
+
+            print(f"[TradingInstructionStore] 添加指令: {instruction.instruction_id} {symbol} {instruction.action}")
+            return instruction.instruction_id
+
+    def add_instruction_from_dict(self, data: Dict) -> str:
+        """从字典添加指令"""
+        instruction = TradingInstruction.from_dict(data)
+        return self.add_instruction(instruction)
+
+    def add_instructions_batch(self, instructions: List[TradingInstruction]) -> int:
+        """
+        批量添加指令
+
+        Args:
+            instructions: 指令列表
+
+        Returns:
+            添加数量
+        """
+        count = 0
+        for inst in instructions:
+            self.add_instruction(inst)
+            count += 1
+        return count
+
+    # ==================== 获取指令 ====================
+
+    def get_instruction_by_id(self, instruction_id: str) -> Optional[TradingInstruction]:
+        """根据ID获取指令"""
+        with self._lock:
+            return self._instructions_by_id.get(instruction_id)
+
+    def get_instructions_by_symbol(self, symbol: str) -> List[TradingInstruction]:
+        """获取指定品种的指令列表"""
+        with self._lock:
+            return list(self._instructions_by_symbol.get(symbol.upper(), []))
+
+    def get_all_instructions(self) -> List[TradingInstruction]:
+        """获取所有指令"""
+        with self._lock:
+            return list(self._instructions_by_id.values())
+
+    def get_all_instructions_dict(self) -> Dict[str, List[Dict]]:
+        """
+        获取所有指令（按品种分类）
+
+        Returns:
+            {symbol: [instruction_dict, ...]}
+        """
+        with self._lock:
+            result = {}
+            for symbol, instructions in self._instructions_by_symbol.items():
+                result[symbol] = [inst.to_dict() for inst in instructions]
+            return result
+
+    # ==================== 获取并发送指令（EA调用）====================
+
+    def fetch_and_remove_by_symbol(self, symbol: str, current_price: float = None) -> List[Dict]:
+        """
+        获取满足条件的指令并移除（EA轮询时调用）
+
+        价格过滤逻辑：
+        - 买入指令：指令价格 <= 当前价格 → 发送
+        - 卖出指令：指令价格 >= 当前价格 → 发送
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格，None时不做价格过滤
+
+        Returns:
+            满足条件的指令列表（字典格式，用于返回给EA）
+        """
+        with self._lock:
+            symbol = symbol.upper()
+            instructions = self._instructions_by_symbol.get(symbol, [])
+
+            if not instructions:
+                return []
+
+            result = []
+            remaining = []
+
+            for inst in instructions:
+                should_send = True
+
+                # 价格条件过滤
+                if current_price is not None:
+                    if inst.action.lower() == 'b':
+                        # 买入：指令价格需要 <= 当前价格
+                        if inst.price > current_price:
+                            should_send = False
+                    elif inst.action.lower() == 's':
+                        # 卖出：指令价格需要 >= 当前价格
+                        if inst.price < current_price:
+                            should_send = False
+
+                if should_send:
+                    inst.status = "sent"
+                    inst.sent_at = datetime.now()
+                    result.append(inst.to_dict())  # 返回给EA的格式
+                    del self._instructions_by_id[inst.instruction_id]
+                else:
+                    remaining.append(inst)
+
+            # 更新存储
+            self._instructions_by_symbol[symbol] = remaining
+
+            if result:
+                print(f"[TradingInstructionStore] 发送指令给EA: {symbol} {len(result)}条 (当前价格: {current_price})")
+            if remaining:
+                print(f"[TradingInstructionStore] 缓存指令等待条件: {symbol} {len(remaining)}条")
+
+            return result
+
+    # ==================== 移除指令 ====================
+
+    def remove_instruction(self, instruction_id: str) -> Optional[TradingInstruction]:
+        """移除指定指令"""
+        with self._lock:
+            instruction = self._instructions_by_id.get(instruction_id)
+            if not instruction:
+                return None
+
+            symbol = instruction.symbol.upper()
+            self._instructions_by_symbol[symbol] = [
+                i for i in self._instructions_by_symbol[symbol] if i.instruction_id != instruction_id
+            ]
+            del self._instructions_by_id[instruction_id]
+
+            return instruction
+
+    def clear_by_symbol(self, symbol: str) -> int:
+        """清空指定品种的指令"""
+        with self._lock:
+            symbol = symbol.upper()
+            instructions = self._instructions_by_symbol.get(symbol, [])
+            count = len(instructions)
+
+            for inst in instructions:
+                if inst.instruction_id in self._instructions_by_id:
+                    del self._instructions_by_id[inst.instruction_id]
+
+            if symbol in self._instructions_by_symbol:
+                del self._instructions_by_symbol[symbol]
+
+            print(f"[TradingInstructionStore] 清空 {symbol} 指令: {count}条")
+            return count
+
+    def clear_all(self) -> int:
+        """清空所有指令"""
+        with self._lock:
+            count = len(self._instructions_by_id)
+            self._instructions_by_symbol.clear()
+            self._instructions_by_id.clear()
+            print(f"[TradingInstructionStore] 已清空所有指令: {count}条")
+            return count
+
+    # ==================== 统计 ====================
+
+    def get_count_by_symbol(self, symbol: str) -> int:
+        """获取指定品种的指令数量"""
+        with self._lock:
+            return len(self._instructions_by_symbol.get(symbol.upper(), []))
+
+    def get_total_count(self) -> int:
+        """获取总指令数量"""
+        with self._lock:
+            return len(self._instructions_by_id)
+
+    def get_status(self) -> Dict:
+        """获取存储状态"""
+        with self._lock:
+            symbols_count = {symbol: len(instructions)
+                           for symbol, instructions in self._instructions_by_symbol.items()}
+            return {
+                "total_instructions": len(self._instructions_by_id),
+                "symbols": symbols_count,
+            }
\ No newline at end of file
diff --git a/market/trade_config.py b/market/trade_config.py
new file mode 100644
index 0000000..c9329fa
--- /dev/null
+++ b/market/trade_config.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+交易配置模块
+"""
+
+from typing import Dict, List
+import threading
+import json
+import os
+
+
+# 配置文件路径
+CONFIG_FILE = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'data', 'trade_config.json')
+
+
+class TradeConfig:
+    """
+    交易配置单例
+
+    管理交易相关的配置参数，包括：
+    - 默认手数、止损偏移
+    - MT5时区偏移
+    - 品种配置（手数、止损偏移、关键点位等）
+    """
+    _instance = None
+    _lock = threading.Lock()
+
+    def __init__(self):
+        self.enabled = True  # 是否启用自动生成
+
+        # 默认配置
+        self.default_volume = 0.01  # 默认手数
+        self.default_sl_offset = 0.05  # 默认止损偏移（固定点数）
+
+        # MT5服务器时区偏移（单位：小时）
+        # 正数表示MT5时间比本地时间快，负数表示比本地时间慢
+        # 例如：MT5服务器时间是GMT+2，本地时间是GMT+8，则偏移为 -6
+        self.mt5_timezone_offset = 0
+
+        # 按品种配置: {symbol: {"volume": 0.01, "sl_offset": 0.05, "key_levels": "5000,5100", "key_level_threshold": 0.0008}}
+        self.symbol_config = {
+            "GOLD#": {"volume": 0.01, "sl_offset": 0.5},
+            "OILCASH#": {"volume": 0.01, "sl_offset": 0.05},
+        }
+
+        # 启动时自动加载配置文件
+        self._load_from_file()
+
+    def _load_from_file(self):
+        """从配置文件加载配置"""
+        try:
+            if os.path.exists(CONFIG_FILE):
+                with open(CONFIG_FILE, 'r', encoding='utf-8') as f:
+                    data = json.load(f)
+                    self.update(data)
+                print(f"[TradeConfig] 已从配置文件加载: mt5_timezone_offset={self.mt5_timezone_offset}")
+            else:
+                print(f"[TradeConfig] 配置文件不存在: {CONFIG_FILE}，使用默认配置")
+        except Exception as e:
+            print(f"[TradeConfig] 加载配置文件失败: {e}，使用默认配置")
+
+    def save_to_file(self):
+        """保存配置到文件"""
+        try:
+            os.makedirs(os.path.dirname(CONFIG_FILE), exist_ok=True)
+            with open(CONFIG_FILE, 'w', encoding='utf-8') as f:
+                json.dump(self.to_dict(), f, indent=2, ensure_ascii=False)
+            print(f"[TradeConfig] 配置已保存到: {CONFIG_FILE}")
+            return True
+        except Exception as e:
+            print(f"[TradeConfig] 保存配置文件失败: {e}")
+            return False
+
+    @classmethod
+    def get_instance(cls):
+        if cls._instance is None:
+            with cls._lock:
+                if cls._instance is None:
+                    cls._instance = cls()
+        return cls._instance
+
+    def get_symbol_config(self, symbol: str) -> Dict:
+        """获取品种配置，如果未配置则返回默认值"""
+        if symbol in self.symbol_config:
+            config = self.symbol_config[symbol]
+            return {
+                "volume": config.get("volume", self.default_volume),
+                "sl_offset": config.get("sl_offset", self.default_sl_offset),
+                "key_levels": config.get("key_levels", ""),
+                "key_level_threshold": config.get("key_level_threshold", 0.0008)
+            }
+        return {
+            "volume": self.default_volume,
+            "sl_offset": self.default_sl_offset,
+            "key_levels": "",
+            "key_level_threshold": 0.0008
+        }
+
+    def get_key_levels(self, symbol: str) -> List[float]:
+        """
+        获取品种的关键点位列表
+
+        Args:
+            symbol: 品种名称
+
+        Returns:
+            关键点位列表，如 [5000, 5100, 5200]
+        """
+        config = self.get_symbol_config(symbol)
+        key_levels_str = config.get("key_levels", "")
+        if not key_levels_str:
+            return []
+
+        levels = []
+        for level_str in key_levels_str.split(","):
+            level_str = level_str.strip()
+            if level_str:
+                try:
+                    levels.append(float(level_str))
+                except ValueError:
+                    continue
+        return sorted(levels)
+
+    def to_dict(self) -> Dict:
+        return {
+            "enabled": self.enabled,
+            "default_volume": self.default_volume,
+            "default_sl_offset": self.default_sl_offset,
+            "mt5_timezone_offset": self.mt5_timezone_offset,
+            "symbol_config": self.symbol_config
+        }
+
+    def update(self, data: Dict):
+        if "enabled" in data:
+            self.enabled = bool(data["enabled"])
+        if "default_volume" in data:
+            self.default_volume = float(data["default_volume"])
+        if "default_sl_offset" in data:
+            self.default_sl_offset = float(data["default_sl_offset"])
+        if "mt5_timezone_offset" in data:
+            self.mt5_timezone_offset = float(data["mt5_timezone_offset"])
+        if "symbol_config" in data:
+            self.symbol_config = data["symbol_config"]
\ No newline at end of file
diff --git a/market/trade_history_store.py b/market/trade_history_store.py
deleted file mode 100644
index c166fad..0000000
--- a/market/trade_history_store.py
+++ /dev/null
@@ -1,302 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-交易历史存储模块
-存储EA上报的交易历史数据
-"""
-
-from collections import defaultdict
-from datetime import datetime, timedelta
-from typing import List, Dict, Optional
-import threading
-from dataclasses import dataclass, field
-
-
-@dataclass
-class TradeDeal:
-    """成交记录"""
-    ticket: int
-    order: int
-    symbol: str
-    type: int  # 0=买入, 1=卖出
-    entry: int  # 0=开仓, 1=平仓, 2=反向
-    volume: float
-    price: float
-    profit: float
-    swap: float
-    commission: float
-    time: datetime
-    comment: str
-
-    def to_dict(self) -> Dict:
-        return {
-            "ticket": self.ticket,
-            "order": self.order,
-            "symbol": self.symbol,
-            "type": self.type,
-            "type_text": "买入" if self.type == 0 else "卖出",
-            "entry": self.entry,
-            "entry_text": self._get_entry_text(),
-            "volume": self.volume,
-            "price": self.price,
-            "profit": self.profit,
-            "swap": self.swap,
-            "commission": self.commission,
-            "time": self.time.strftime("%Y-%m-%d %H:%M:%S") if self.time else None,
-            "comment": self.comment,
-            "is_auto": self._is_auto_order(),
-            "order_source": self._get_order_source()
-        }
-
-    def _get_entry_text(self) -> str:
-        if self.entry == 0:
-            return "开仓"
-        elif self.entry == 1:
-            return "平仓"
-        elif self.entry == 2:
-            return "反向"
-        else:
-            return "未知"
-
-    def _is_auto_order(self) -> bool:
-        """判断是否为自动下单（排除MT5系统标记）"""
-        if not self.comment or not self.comment.strip():
-            return False
-        # 排除MT5系统标记
-        comment = self.comment.strip()
-        if comment.startswith('[sl') or comment.startswith('[tp') or comment.startswith('[so'):
-            return False
-        return True
-
-    def _get_order_source(self) -> str:
-        """获取订单来源"""
-        if not self.comment or not self.comment.strip():
-            return "手动"
-        comment = self.comment.strip()
-        if comment.startswith('[sl'):
-            return "止损触发"
-        if comment.startswith('[tp'):
-            return "止盈触发"
-        if comment.startswith('[so'):
-            return "强制平仓"
-        return "自动"
-
-
-class TradeHistoryStore:
-    """交易历史存储"""
-
-    def __init__(self):
-        # 存储成交记录
-        self._deals: List[TradeDeal] = []
-        self._lock = threading.RLock()
-
-        # 上次更新时间
-        self._last_update_time: Optional[datetime] = None
-
-        print("[TradeHistoryStore] 交易历史存储已初始化")
-
-    def update_from_ea(self, deals_data: List[Dict]) -> int:
-        """
-        从EA数据更新交易历史
-
-        Args:
-            deals_data: EA返回的成交列表
-
-        Returns:
-            更新的成交数量
-        """
-        if not deals_data:
-            return 0
-
-        now = datetime.now()
-        new_deals = []
-
-        with self._lock:
-            # 获取现有票据集合
-            existing_tickets = {d.ticket for d in self._deals}
-
-            for deal_data in deals_data:
-                ticket = deal_data.get('ticket')
-                if ticket in existing_tickets:
-                    continue
-
-                # 解析时间
-                deal_time = deal_data.get('time')
-                if isinstance(deal_time, str):
-                    try:
-                        deal_time = datetime.strptime(deal_time, '%Y.%m.%d %H:%M:%S')
-                    except:
-                        try:
-                            deal_time = datetime.strptime(deal_time, '%Y-%m-%d %H:%M:%S')
-                        except:
-                            deal_time = now
-                elif not isinstance(deal_time, datetime):
-                    deal_time = now
-
-                deal = TradeDeal(
-                    ticket=ticket,
-                    order=deal_data.get('order', 0),
-                    symbol=deal_data.get('symbol', ''),
-                    type=deal_data.get('type', 0),
-                    entry=deal_data.get('entry', 0),
-                    volume=deal_data.get('volume', 0),
-                    price=deal_data.get('price', 0),
-                    profit=deal_data.get('profit', 0),
-                    swap=deal_data.get('swap', 0),
-                    commission=deal_data.get('commission', 0),
-                    time=deal_time,
-                    comment=deal_data.get('comment', '')
-                )
-                new_deals.append(deal)
-
-            # 添加新记录
-            self._deals.extend(new_deals)
-
-            # 按时间排序
-            self._deals.sort(key=lambda d: d.time or datetime.min, reverse=True)
-
-            # 保留最近24小时的数据
-            cutoff = now - timedelta(hours=24)
-            self._deals = [d for d in self._deals if d.time and d.time > cutoff]
-
-            self._last_update_time = now
-
-        if new_deals:
-            print(f"[TradeHistoryStore] 新增 {len(new_deals)} 条成交记录，当前共 {len(self._deals)} 条")
-
-        return len(new_deals)
-
-    def get_all_deals(self) -> List[Dict]:
-        """获取所有成交记录"""
-        with self._lock:
-            return [d.to_dict() for d in self._deals]
-
-    def get_statistics(self) -> Dict:
-        """
-        获取交易统计
-
-        Returns:
-            统计数据
-        """
-        with self._lock:
-            total_count = len(self._deals)
-            if total_count == 0:
-                return {
-                    "total_count": 0,
-                    "symbols": {},
-                    "manual_count": 0,
-                    "auto_count": 0,
-                    "sl_tp_count": 0,
-                    "so_count": 0,
-                    "auto_categories": {},
-                    "total_profit": 0,
-                    "total_swap": 0,
-                    "total_commission": 0,
-                    "net_profit": 0,
-                    "last_update": None
-                }
-
-            # 按品种统计
-            symbols = defaultdict(lambda: {"count": 0, "profit": 0, "volume": 0})
-
-            # 手动/自动/止损止盈/强制平仓统计
-            manual_count = 0
-            auto_count = 0
-            sl_tp_count = 0  # 止损/止盈触发
-            so_count = 0     # 强制平仓
-            auto_categories = defaultdict(lambda: {"count": 0, "profit": 0})
-
-            total_profit = 0
-            total_swap = 0
-            total_commission = 0
-
-            for deal in self._deals:
-                # 品种统计
-                symbols[deal.symbol]["count"] += 1
-                symbols[deal.symbol]["profit"] += deal.profit
-                symbols[deal.symbol]["volume"] += deal.volume
-
-                # 分类统计
-                comment = deal.comment.strip() if deal.comment else ""
-
-                if not comment:
-                    # 无备注：手动单
-                    manual_count += 1
-                elif comment.startswith('[sl') or comment.startswith('[tp'):
-                    # 止损/止盈触发
-                    sl_tp_count += 1
-                elif comment.startswith('[so'):
-                    # 强制平仓
-                    so_count += 1
-                else:
-                    # 自动单：使用完整备注作为分类
-                    auto_count += 1
-                    auto_categories[comment]["count"] += 1
-                    auto_categories[comment]["profit"] += deal.profit
-
-                # 总计
-                total_profit += deal.profit
-                total_swap += deal.swap
-                total_commission += deal.commission
-
-            net_profit = total_profit + total_swap - total_commission
-
-            # 转换auto_categories为普通字典并计算
-            auto_categories_dict = {}
-            for cat, data in auto_categories.items():
-                auto_categories_dict[cat] = {
-                    "count": data["count"],
-                    "profit": round(data["profit"], 2),
-                    "percentage": round(data["count"] / auto_count * 100, 1) if auto_count > 0 else 0
-                }
-
-            # 转换symbols为普通字典
-            symbols_dict = {}
-            for sym, data in symbols.items():
-                symbols_dict[sym] = {
-                    "count": data["count"],
-                    "profit": round(data["profit"], 2),
-                    "volume": round(data["volume"], 2)
-                }
-
-            return {
-                "total_count": total_count,
-                "symbols": symbols_dict,
-                "manual_count": manual_count,
-                "auto_count": auto_count,
-                "sl_tp_count": sl_tp_count,
-                "so_count": so_count,
-                "auto_categories": auto_categories_dict,
-                "total_profit": round(total_profit, 2),
-                "total_swap": round(total_swap, 2),
-                "total_commission": round(total_commission, 2),
-                "net_profit": round(net_profit, 2),
-                "last_update": self._last_update_time.isoformat() if self._last_update_time else None
-            }
-
-    def get_status(self) -> Dict:
-        """获取存储状态"""
-        with self._lock:
-            return {
-                "deals_count": len(self._deals),
-                "last_update": self._last_update_time.isoformat() if self._last_update_time else None
-            }
-
-    def clear(self) -> None:
-        """清空数据"""
-        with self._lock:
-            self._deals.clear()
-            self._last_update_time = None
-            print("[TradeHistoryStore] 已清空交易历史数据")
-
-
-# 全局单例
-_trade_history_store = None
-
-
-def get_trade_history_store() -> TradeHistoryStore:
-    """获取交易历史存储单例"""
-    global _trade_history_store
-    if _trade_history_store is None:
-        _trade_history_store = TradeHistoryStore()
-    return _trade_history_store
\ No newline at end of file
diff --git a/market/trend_analyzer.py b/market/trend_analyzer.py
deleted file mode 100644
index c3e2720..0000000
--- a/market/trend_analyzer.py
+++ /dev/null
@@ -1,416 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-趋势分析模块
-基于均线和ADX判断趋势方向和强度
-"""
-
-from collections import defaultdict
-from typing import List, Dict, Optional
-from datetime import datetime
-import threading
-
-from .store import KlineData
-
-
-class TrendAnalyzer:
-    """趋势分析器"""
-
-    # 支持的周期
-    PERIODS = ['H4', 'H1', 'M15', 'M5', 'M1']
-
-    # ADX阈值
-    ADX_TREND_THRESHOLD = 25      # ADX > 25 表示有趋势
-    ADX_STRONG_THRESHOLD = 40     # ADX > 40 表示强趋势
-
-    # 均线周期
-    MA_FAST = 10                   # 快线周期
-    MA_SLOW = 20                   # 慢线周期
-
-    def __init__(self):
-        # 存储各周期趋势状态: {SYMBOL: {PERIOD: TrendState}}
-        self._trend_states = defaultdict(lambda: defaultdict(dict))
-        self._lock = threading.RLock()
-
-        # 趋势转换历史
-        self._trend_changes = defaultdict(list)
-
-        # 统计数据历史引用（用于获取价差）
-        self._statistics_history = None
-
-        print("[TrendAnalyzer] 趋势分析器已初始化")
-
-    def set_statistics_history(self, statistics_history):
-        """设置统计数据历史引用（用于获取价差）"""
-        self._statistics_history = statistics_history
-
-    def _get_symbol_spread(self, symbol: str) -> Optional[float]:
-        """
-        获取指定品种的最新价差
-
-        Args:
-            symbol: 品种名称
-
-        Returns:
-            价差（金额），如果没有返回None
-        """
-        if not self._statistics_history:
-            return None
-
-        symbol_normalized = symbol.replace('#', '')
-
-        # 从最新的统计数据中查找该品种的价差
-        for stat in reversed(list(self._statistics_history)):
-            stat_symbol = stat.get('symbol', '')
-            stat_normalized = stat_symbol.replace('#', '')
-            if stat_normalized == symbol_normalized:
-                spread = stat.get('spread')
-                if spread is not None and spread > 0:
-                    return spread
-
-        return None
-
-    def analyze_trend(self, symbol: str, period: str, klines: List[KlineData]) -> Dict:
-        """
-        分析单个周期的趋势
-
-        Args:
-            symbol: 交易品种
-            period: 周期
-            klines: K线数据
-
-        Returns:
-            {
-                "trend": "up" / "down" / "sideways",
-                "strength": 0-100,
-                "adx": float,
-                "ma_fast": float,
-                "ma_slow": float,
-                "price": float,
-                "change_signal": bool,  # 是否发生趋势转换
-                "timestamp": str
-            }
-        """
-        if len(klines) < 30:  # 至少需要30根K线
-            return {
-                "trend": "unknown",
-                "strength": 0,
-                "adx": 0,
-                "ma_fast": 0,
-                "ma_slow": 0,
-                "price": 0,
-                "change_signal": False,
-                "reason": "K线数据不足(需≥30根)",
-                "timestamp": datetime.now().isoformat()
-            }
-
-        # 计算均线
-        closes = [k.close for k in klines]
-        ma_fast = self._calculate_ma(closes, self.MA_FAST)
-        ma_slow = self._calculate_ma(closes, self.MA_SLOW)
-        current_price = closes[-1]
-
-        # 计算ADX
-        adx = self._calculate_adx(klines)
-
-        # 判断趋势方向和原因
-        reason_parts = []
-
-        if adx < self.ADX_TREND_THRESHOLD:
-            # ADX较低，震荡行情
-            trend = "sideways"
-            reason_parts.append(f"ADX={adx:.1f}<25 无明显趋势")
-        else:
-            # 根据均线和价格判断方向
-            if ma_fast > ma_slow and current_price > ma_fast:
-                trend = "up"
-                reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) > MA{self.MA_SLOW}({ma_slow:.2f})")
-                reason_parts.append(f"价格({current_price:.2f}) > MA{self.MA_FAST}")
-                reason_parts.append(f"ADX={adx:.1f}≥25 确认趋势")
-            elif ma_fast < ma_slow and current_price < ma_fast:
-                trend = "down"
-                reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) < MA{self.MA_SLOW}({ma_slow:.2f})")
-                reason_parts.append(f"价格({current_price:.2f}) < MA{self.MA_FAST}")
-                reason_parts.append(f"ADX={adx:.1f}≥25 确认趋势")
-            else:
-                trend = "sideways"
-                if ma_fast > ma_slow:
-                    reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) > MA{self.MA_SLOW}({ma_slow:.2f})")
-                    reason_parts.append(f"但价格({current_price:.2f})低于MA{self.MA_FAST}")
-                else:
-                    reason_parts.append(f"MA{self.MA_FAST}({ma_fast:.2f}) < MA{self.MA_SLOW}({ma_slow:.2f})")
-                    reason_parts.append(f"且价格({current_price:.2f})高于MA{self.MA_FAST}")
-                reason_parts.append("信号矛盾，判定震荡")
-
-        reason = "；".join(reason_parts)
-
-        # 计算趋势强度 (基于ADX)
-        if adx >= self.ADX_STRONG_THRESHOLD:
-            strength = min(100, int(adx + 20))
-        elif adx >= self.ADX_TREND_THRESHOLD:
-            strength = int(adx + 10)
-        else:
-            strength = int(adx)
-
-        # 检查趋势转换
-        symbol_key = symbol
-        change_signal = False
-        previous_trend = None
-
-        with self._lock:
-            if period in self._trend_states[symbol_key]:
-                previous_trend = self._trend_states[symbol_key][period].get('trend')
-                if previous_trend and previous_trend != trend and previous_trend != "unknown":
-                    change_signal = True
-                    # 记录转换历史
-                    self._trend_changes[symbol_key].append({
-                        "period": period,
-                        "from_trend": previous_trend,
-                        "to_trend": trend,
-                        "timestamp": datetime.now().isoformat(),
-                        "price": current_price
-                    })
-                    # 只保留最近20条
-                    if len(self._trend_changes[symbol_key]) > 20:
-                        self._trend_changes[symbol_key] = self._trend_changes[symbol_key][-20:]
-
-            # 更新状态
-            self._trend_states[symbol_key][period] = {
-                "trend": trend,
-                "strength": strength,
-                "adx": round(adx, 2),
-                "ma_fast": round(ma_fast, 4),
-                "ma_slow": round(ma_slow, 4),
-                "price": current_price,
-                "change_signal": change_signal,
-                "previous_trend": previous_trend,
-                "reason": reason,
-                "timestamp": datetime.now().isoformat()
-            }
-
-        return self._trend_states[symbol_key][period]
-
-    def analyze_resonance(self, symbol: str) -> Dict:
-        """
-        分析多周期共振
-
-        Returns:
-            {
-                "resonance": "up" / "down" / "none",
-                "strength": 0-100,
-                "periods": {period: trend_state},
-                "aligned_count": int,
-                "signal": str
-            }
-        """
-        symbol_key = symbol
-
-        with self._lock:
-            states = dict(self._trend_states[symbol_key])
-
-        if not states:
-            return {
-                "resonance": "none",
-                "strength": 0,
-                "periods": {},
-                "aligned_count": 0,
-                "signal": "等待数据"
-            }
-
-        # 统计各趋势数量
-        up_count = sum(1 for s in states.values() if s.get('trend') == 'up')
-        down_count = sum(1 for s in states.values() if s.get('trend') == 'down')
-        sideways_count = sum(1 for s in states.values() if s.get('trend') == 'sideways')
-
-        # 计算平均强度
-        strengths = [s.get('strength', 0) for s in states.values() if s.get('trend') != 'sideways']
-        avg_strength = sum(strengths) / len(strengths) if strengths else 0
-
-        # 判断共振
-        total = len(states)
-        if up_count >= total * 0.6:  # 60%以上周期趋势一致
-            resonance = "up"
-            aligned_count = up_count
-            signal = f"多周期向上共振 ({up_count}/{total})"
-        elif down_count >= total * 0.6:
-            resonance = "down"
-            aligned_count = down_count
-            signal = f"多周期向下共振 ({down_count}/{total})"
-        else:
-            resonance = "none"
-            aligned_count = max(up_count, down_count)
-            signal = f"趋势分歧 (↑{up_count} ↓{down_count} →{sideways_count})"
-
-        return {
-            "resonance": resonance,
-            "strength": int(avg_strength),
-            "periods": states,
-            "aligned_count": aligned_count,
-            "up_count": up_count,
-            "down_count": down_count,
-            "sideways_count": sideways_count,
-            "signal": signal
-        }
-
-    def get_trend_state(self, symbol: str, period: str = None) -> Dict:
-        """获取趋势状态"""
-        with self._lock:
-            if period:
-                return self._trend_states[symbol].get(period, {})
-            return dict(self._trend_states[symbol])
-
-    def get_trend_changes(self, symbol: str, count: int = 10) -> List[Dict]:
-        """获取趋势转换历史"""
-        with self._lock:
-            return self._trend_changes[symbol][-count:]
-
-    def _calculate_ma(self, data: List[float], period: int) -> float:
-        """计算移动平均线"""
-        if len(data) < period:
-            return data[-1] if data else 0
-        return sum(data[-period:]) / period
-
-    def _calculate_adx(self, klines: List[KlineData], period: int = 14) -> float:
-        """
-        计算ADX (Average Directional Index)
-
-        ADX > 25: 有趋势
-        ADX > 40: 强趋势
-        ADX < 20: 无明显趋势
-        """
-        if len(klines) < period + 1:
-            return 0
-
-        # 计算 +DM 和 -DM
-        plus_dm = []
-        minus_dm = []
-        tr_list = []
-
-        for i in range(1, len(klines)):
-            high = klines[i].high
-            low = klines[i].low
-            prev_high = klines[i-1].high
-            prev_low = klines[i-1].low
-            prev_close = klines[i-1].close
-
-            # +DM
-            up_move = high - prev_high
-            down_move = prev_low - low
-
-            if up_move > down_move and up_move > 0:
-                plus_dm.append(up_move)
-            else:
-                plus_dm.append(0)
-
-            # -DM
-            if down_move > up_move and down_move > 0:
-                minus_dm.append(down_move)
-            else:
-                minus_dm.append(0)
-
-            # True Range
-            tr = max(
-                high - low,
-                abs(high - prev_close),
-                abs(low - prev_close)
-            )
-            tr_list.append(tr)
-
-        if len(tr_list) < period:
-            return 0
-
-        # 计算平滑值
-        atr = sum(tr_list[-period:]) / period
-        smoothed_plus_dm = sum(plus_dm[-period:]) / period
-        smoothed_minus_dm = sum(minus_dm[-period:]) / period
-
-        # 计算 +DI 和 -DI
-        if atr == 0:
-            return 0
-
-        plus_di = (smoothed_plus_dm / atr) * 100
-        minus_di = (smoothed_minus_dm / atr) * 100
-
-        # 计算 DX
-        di_sum = plus_di + minus_di
-        if di_sum == 0:
-            return 0
-
-        dx = abs(plus_di - minus_di) / di_sum * 100
-
-        return dx
-
-    def generate_trade_suggestion(self, symbol: str, pivots: List[Dict],
-                                   current_price: float) -> Optional[Dict]:
-        """
-        基于趋势和转折点生成交易建议
-
-        Args:
-            symbol: 交易品种
-            pivots: 转折点数据
-            current_price: 当前价格
-
-        Returns:
-            交易建议 或 None
-        """
-        # 获取趋势状态
-        resonance = self.analyze_resonance(symbol)
-
-        if resonance['resonance'] == 'none':
-            return None
-
-        if resonance['strength'] < 30:
-            return None
-
-        trend = resonance['resonance']
-
-        # 根据趋势找最近的转折点作为止损止盈
-        recent_pivots = sorted(pivots, key=lambda x: x['timestamp'], reverse=True)[:10]
-
-        sl = None
-        tp = None
-        action = None
-        reason = ""
-
-        if trend == "up":
-            # 上升趋势，找最近的低点作为止损
-            action = "b"
-            low_pivots = [p for p in recent_pivots if p['direction'] == 'low']
-            if low_pivots:
-                # 找最近的低点作为止损
-                sl = low_pivots[0]['price']
-            # 止盈设为止损的1.5-2倍距离
-            if sl and current_price > sl:
-                distance = current_price - sl
-                tp = current_price + distance * 1.5
-                reason = f"多周期向上共振，建议买入，止损参考最近低点 {sl}"
-            else:
-                return None
-
-        elif trend == "down":
-            # 下降趋势，找最近的高点作为止损
-            action = "s"
-            high_pivots = [p for p in recent_pivots if p['direction'] == 'high']
-            if high_pivots:
-                sl = high_pivots[0]['price']
-            if sl and current_price < sl:
-                distance = sl - current_price
-                tp = current_price - distance * 1.5
-                reason = f"多周期向下共振，建议卖出，止损参考最近高点 {sl}"
-            else:
-                return None
-
-        if not all([action, sl, tp]):
-            return None
-
-        return {
-            "symbol": symbol,
-            "action": action,
-            "price": current_price,
-            "sl": round(sl, 4),
-            "tp": round(tp, 4),
-            "reason": reason,
-            "trend_strength": resonance['strength'],
-            "resonance_periods": resonance['aligned_count'],
-            "generated_at": datetime.now().isoformat()
-        }
\ No newline at end of file
diff --git a/market/utils/__init__.py b/market/utils/__init__.py
new file mode 100644
index 0000000..61ba1ca
--- /dev/null
+++ b/market/utils/__init__.py
@@ -0,0 +1,9 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+工具模块
+"""
+
+from .ws_manager import WebSocketManager
+
+__all__ = ['WebSocketManager']
\ No newline at end of file
diff --git a/market/utils/ws_manager.py b/market/utils/ws_manager.py
new file mode 100644
index 0000000..1c41eb0
--- /dev/null
+++ b/market/utils/ws_manager.py
@@ -0,0 +1,143 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+WebSocket 连接管理器
+可复用的 WebSocket 客户端管理和消息广播
+"""
+
+import asyncio
+import json
+import threading
+from typing import Set, Dict, Any, Optional
+
+
+class WebSocketManager:
+    """
+    WebSocket 连接管理器
+
+    职责：
+    - 管理客户端连接（添加/移除）
+    - 线程安全操作
+    - 异步广播消息
+    - 同步广播（从非异步上下文）
+    """
+
+    def __init__(self, name: str = "default"):
+        self._name = name
+        self._clients: Set = set()
+        self._lock = threading.Lock()
+        self._main_loop: Optional[asyncio.AbstractEventLoop] = None
+
+        print(f"[WebSocketManager:{name}] 已初始化")
+
+    # ==================== 事件循环 ====================
+
+    def set_event_loop(self, loop: asyncio.AbstractEventLoop):
+        """设置主事件循环引用"""
+        self._main_loop = loop
+        print(f"[WebSocketManager:{self._name}] 已设置事件循环")
+
+    # ==================== 客户端管理 ====================
+
+    def add_client(self, client) -> int:
+        """
+        添加客户端连接
+
+        Args:
+            client: WebSocket 连接对象
+
+        Returns:
+            当前连接数
+        """
+        with self._lock:
+            self._clients.add(client)
+            count = len(self._clients)
+        print(f"[WebSocketManager:{self._name}] 客户端已连接, 当前: {count}")
+        return count
+
+    def remove_client(self, client) -> int:
+        """
+        移除客户端连接
+
+        Args:
+            client: WebSocket 连接对象
+
+        Returns:
+            当前连接数
+        """
+        with self._lock:
+            self._clients.discard(client)
+            count = len(self._clients)
+        print(f"[WebSocketManager:{self._name}] 客户端已断开, 当前: {count}")
+        return count
+
+    def get_client_count(self) -> int:
+        """获取客户端数量"""
+        with self._lock:
+            return len(self._clients)
+
+    # ==================== 消息广播 ====================
+
+    async def broadcast(self, message: Dict[str, Any]):
+        """
+        异步广播消息到所有客户端
+
+        Args:
+            message: 消息字典，自动转为 JSON
+        """
+        with self._lock:
+            clients = list(self._clients)
+
+        if not clients:
+            return
+
+        text = json.dumps(message, ensure_ascii=False)
+
+        for client in clients:
+            try:
+                await client.send_text(text)
+            except Exception as e:
+                print(f"[WebSocketManager:{self._name}] 发送失败: {e}")
+                self.remove_client(client)
+
+    async def send_to_client(self, client, message: Dict[str, Any]):
+        """
+        发送消息到单个客户端
+
+        Args:
+            client: WebSocket 连接对象
+            message: 消息字典
+        """
+        try:
+            text = json.dumps(message, ensure_ascii=False)
+            await client.send_text(text)
+        except Exception as e:
+            print(f"[WebSocketManager:{self._name}] 发送到客户端失败: {e}")
+            self.remove_client(client)
+
+    def broadcast_sync(self, message: Dict[str, Any]):
+        """
+        同步方式广播（从非异步上下文调用）
+
+        用于在线程中向主事件循环提交广播任务
+
+        Args:
+            message: 消息字典
+        """
+        if self._main_loop and self._main_loop.is_running():
+            asyncio.run_coroutine_threadsafe(
+                self.broadcast(message),
+                self._main_loop
+            )
+        else:
+            print(f"[WebSocketManager:{self._name}] 事件循环未运行，无法广播")
+
+    # ==================== 状态查询 ====================
+
+    def get_status(self) -> Dict[str, Any]:
+        """获取状态"""
+        return {
+            "name": self._name,
+            "clients": self.get_client_count(),
+            "loop_set": self._main_loop is not None
+        }
\ No newline at end of file
diff --git a/routes_ea.py b/routes_ea.py
index 0b86737..3b096e0 100644
--- a/routes_ea.py
+++ b/routes_ea.py
@@ -309,11 +309,11 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
                 print("[calendar] 警告: events数组为空")
                 return {"status": "ok", "message": "无数据需要更新", "count": 0}
 
-            from market.news_store import get_news_store
-            news_store = get_news_store()
+            from market.market_event_monitor import get_market_event_monitor
+            monitor = get_market_event_monitor()
 
             # 更新财经日历
-            updated_count = news_store.update_calendar_from_mt5(events)
+            updated_count = monitor.update_calendar_from_mt5(events)
 
             # 记录日志 - MT5上报财经日历
             system_log = get_system_log()
@@ -322,7 +322,7 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
                 {
                     "events_received": len(events),
                     "events_updated": updated_count,
-                    "total_events": news_store.get_status().get('calendar_events', 0)
+                    "total_events": monitor.calendar_store.get_status().get('total_events', 0)
                 },
                 message=f"MT5上报财经日历: 收到{len(events)}条, 更新{updated_count}条"
             )
@@ -372,11 +372,11 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
             if not event_id:
                 return {"status": "error", "message": "缺少事件ID"}
 
-            from market.news_store import get_news_store
-            news_store = get_news_store()
+            from market.market_event_monitor import get_market_event_monitor
+            monitor = get_market_event_monitor()
 
             # 获取事件
-            event = news_store.get_event_by_id(event_id)
+            event = monitor.calendar_store.get_event_by_id(event_id)
             if not event:
                 return {"status": "error", "message": f"未找到事件: {event_id}"}
 
@@ -453,7 +453,6 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
         }
         ```
         """
-        import json as json_module
         try:
             data = await request.json()
             deals = data.get('deals', [])
@@ -463,11 +462,8 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
             if not deals:
                 return {"status": "ok", "message": "无数据需要更新", "count": 0}
 
-            from market.trade_history_store import get_trade_history_store
-            store = get_trade_history_store()
-
-            # 更新交易历史
-            new_count = store.update_from_ea(deals)
+            # 使用新的交易历史服务
+            new_count = server.trade_history_service.process_deals(deals)
 
             # 记录日志
             system_log = get_system_log()
@@ -476,7 +472,7 @@ def create_ea_routes(server: TradingServer) -> APIRouter:
                 {
                     "deals_received": len(deals),
                     "deals_new": new_count,
-                    "total_deals": len(store.get_all_deals())
+                    "total_deals": len(server.trade_history_store.get())
                 },
                 message=f"交易历史上报: 收到{len(deals)}条, 新增{new_count}条"
             )
diff --git a/routes_market.py b/routes_market.py
index 0c32311..7c08800 100644
--- a/routes_market.py
+++ b/routes_market.py
@@ -12,29 +12,31 @@ from datetime import datetime, timedelta
 import json
 import random
 
-from market.store import MarketStore
-from market.pivot_detector import PivotDetector
-from market.monitor import PivotMonitor, TradeConfig
-from market.trend_analyzer import TrendAnalyzer
-from market.pending_orders import PendingOrderManager
-from market.llm_analyzer import LLMAnalyzer
+from market.models import KlineData
+from market.store import KlineStore
+from market.services import KlineService, PivotService, TechService, PendingOrderService
+from market.trade_config import TradeConfig
 from market.system_log import get_system_log
 
 
-def create_market_routes(store: MarketStore, detector: PivotDetector,
-                         monitor: PivotMonitor, trend_analyzer: TrendAnalyzer,
-                         pending_orders: PendingOrderManager,
-                         llm_analyzer: LLMAnalyzer = None) -> APIRouter:
+def create_market_routes(
+    kline_store: KlineStore,
+    kline_service: KlineService,
+    pivot_service: PivotService,
+    tech_service: TechService,
+    pending_order_service: PendingOrderService,
+    trading_server = None
+) -> APIRouter:
     """
     创建行情相关路由
 
     Args:
-        store: K线存储
-        detector: 转折点检测器
-        monitor: 转折点监控器
-        trend_analyzer: 趋势分析器
-        pending_orders: 待确认订单管理器
-        llm_analyzer: 大模型分析器
+        kline_store: K线存储
+        kline_service: K线服务
+        pivot_service: 转折点服务
+        tech_service: 技术分析服务
+        pending_order_service: 待确认订单服务
+        trading_server: TradingServer 实例
     """
     router = APIRouter()
 
@@ -47,35 +49,9 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
     async def receive_kline(period: str, request: Request) -> Dict:
         """
         EA推送K线数据
-
-        Args:
-            period: 周期 (H4/H1/M15/M5/M1)
-
-        请求体:
-        ```json
-        {
-            "symbol": "GOLD",
-            "is_full": false,  // 是否为全量数据
-            "klines": [
-                {
-                    "timestamp": "2024-01-15 14:00:00",
-                    "open": 2030.50,
-                    "high": 2035.00,
-                    "low": 2028.00,
-                    "close": 2033.50,
-                    "volume": 1234
-                }
-            ]
-        }
-        ```
-
-        返回:
-        - 成功: {"status": "ok", "count": N}
-        - 需要全量数据: {"status": "error", "code": 8888, "message": "需要全量数据"}
         """
         period = period.upper()
 
-        # 验证周期
         if period not in ['H4', 'H1', 'M15', 'M5', 'M1']:
             return JSONResponse(
                 status_code=400,
@@ -93,81 +69,42 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
             # 全量数据时检查K线时效性
             if is_full:
-                period_interval = store.PERIOD_INTERVALS.get(period.upper(), 60)
-                latest_kline_time = None
+                staleness = kline_service.check_staleness(symbol, period, klines)
 
-                # 获取最新K线时间（取最后一条）
-                latest_kline = klines[-1] if klines else None
-                if latest_kline:
-                    ts = latest_kline.get('timestamp') or latest_kline.get('time')
-                    if ts:
-                        # 解析时间戳
-                        if isinstance(ts, datetime):
-                            latest_kline_time = ts
-                        else:
-                            for fmt in ["%Y-%m-%d %H:%M:%S", "%Y.%m.%d %H:%M", "%Y.%m.%d %H:%M:%S", "%Y-%m-%d %H:%M"]:
-                                try:
-                                    latest_kline_time = datetime.strptime(str(ts), fmt)
-                                    break
-                                except:
-                                    continue
-
-                if latest_kline_time:
-                    # 获取MT5时区偏移配置
-                    # mt5_timezone_offset: MT5时间与本地时间的差值
-                    # 正数表示MT5时间比本地时间快，负数表示MT5时间比本地时间慢
-                    # 例如：MT5(GMT+2) vs 本地(GMT+8)，MT5比本地慢6小时，offset = -6
+                if staleness.get('latest_kline_time'):
                     trade_config = TradeConfig.get_instance()
                     timezone_offset_hours = trade_config.mt5_timezone_offset
 
-                    now_local = datetime.now()
+                    staleness = kline_service.check_staleness(
+                        symbol, period, klines, timezone_offset_hours
+                    )
 
-                    # 将K线时间（MT5服务器时间）转换为本地时间进行比较
-                    # 本地时间 = MT5时间 - offset（因为offset是MT5相对本地的偏移）
-                    # 例如：MT5时间 08:00，offset=-6，本地时间 = 08:00 - (-6) = 08:00 + 6 = 14:00
-                    kline_time_local = latest_kline_time - timedelta(hours=timezone_offset_hours)
-
-                    time_diff = (now_local - kline_time_local).total_seconds()
-
-                    # 调试日志
-                    print(f"[MarketAPI] {symbol} {period} K线时间检查:")
-                    print(f"  - K线时间(MT5): {latest_kline_time}")
-                    print(f"  - 转换后本地时间: {kline_time_local}")
-                    print(f"  - 当前本地时间: {now_local}")
-                    print(f"  - 时区偏移: {timezone_offset_hours}小时")
-                    print(f"  - 时间差: {int(time_diff)}秒, 阈值: {period_interval}秒")
-
-                    # 如果超过一个周期，说明数据不是最新的，可能休市
-                    if time_diff > period_interval:
+                    if staleness.get('is_stale'):
                         system_log = get_system_log()
                         system_log.add_log(
                             "ea_kline_stale",
                             {
                                 "period": period,
-                                "latest_kline_time": latest_kline_time.isoformat(),
-                                "kline_time_local": kline_time_local.isoformat(),
-                                "now_local": now_local.isoformat(),
-                                "timezone_offset_hours": timezone_offset_hours,
-                                "time_diff_seconds": int(time_diff),
-                                "period_interval": period_interval
+                                "latest_kline_time": staleness.get('latest_kline_time').isoformat() if staleness.get('latest_kline_time') else None,
+                                "kline_time_local": staleness.get('kline_time_local').isoformat() if staleness.get('kline_time_local') else None,
+                                "time_diff_seconds": staleness.get('time_diff_seconds'),
+                                "period_interval": staleness.get('period_interval')
                             },
                             symbol=symbol,
-                            message=f"K线数据过期，最新K线距当前 {int(time_diff)}秒，可能休市"
+                            message=f"K线数据过期，最新K线距当前 {staleness.get('time_diff_seconds')}秒，可能休市"
                         )
-                        print(f"[MarketAPI] {symbol} {period} 全量K线数据过期，K线时间(MT5) {latest_kline_time}，转换为本地时间 {kline_time_local}，距当前 {int(time_diff)}秒，丢弃数据")
+                        print(f"[MarketAPI] {symbol} {period} 全量K线数据过期")
                         return {
                             "status": "ok",
                             "count": 0,
                             "message": "K线数据过期，可能休市",
                             "stale": True,
-                            "latest_kline_time": latest_kline_time.isoformat(),
-                            "kline_time_local": kline_time_local.isoformat(),
-                            "time_diff_seconds": int(time_diff),
-                            "timezone_offset_hours": timezone_offset_hours
+                            "latest_kline_time": staleness.get('latest_kline_time').isoformat() if staleness.get('latest_kline_time') else None,
+                            "time_diff_seconds": staleness.get('time_diff_seconds')
                         }
 
             # 检查是否需要全量数据
-            if not is_full and not store.is_initialized(symbol, period):
+            if not is_full and not kline_service.is_initialized(symbol, period):
                 print(f"[MarketAPI] {symbol} {period} 未初始化，需要全量数据")
                 return JSONResponse(
                     status_code=400,
@@ -179,11 +116,10 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
                 )
 
             # 增量数据时检查连续性
-            if not is_full and store.is_initialized(symbol, period):
-                continuity = store.check_kline_continuity(symbol, period, klines)
+            if not is_full and kline_service.is_initialized(symbol, period):
+                continuity = kline_service.check_continuity(symbol, period, klines)
                 if not continuity["is_continuous"]:
                     print(f"[MarketAPI] {symbol} {period} 数据不连续，缺失 {continuity['gap_count']} 个周期")
-                    print(f"[MarketAPI] 现有最后时间: {continuity.get('last_existing_time')}, 新数据最早时间: {continuity.get('first_new_time')}")
                     return JSONResponse(
                         status_code=400,
                         content={
@@ -194,43 +130,24 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
                     )
 
             # 保存K线数据
-            result = store.save_klines(symbol, period, klines, is_full)
+            result = kline_service.process_kline_data(symbol, period, klines, is_full)
 
-            # 记录日志 - 全量K线总是记录，增量K线5%概率记录
+            # 记录日志
             if is_full or random.random() < KLINE_LOG_PROBABILITY:
                 system_log = get_system_log()
                 event_type = "ea_kline_full" if is_full else "ea_kline_incremental"
                 system_log.add_log(
                     event_type,
-                    {
-                        "period": period,
-                        "count": len(klines),
-                        "is_full": is_full
-                    },
+                    {"period": period, "count": len(klines), "is_full": is_full},
                     symbol=symbol,
                     message=f"{'全量' if is_full else '增量'} {period} {len(klines)}条"
                 )
 
             if result['status'] == 'ok':
                 # 更新转折点
-                all_klines = store.get_all_klines(symbol, period)
+                all_klines = kline_service.get_all_kline_objects(symbol, period)
                 if all_klines:
-                    # 转换为KlineData对象
-                    from market.store import KlineData
-                    kline_objs = [
-                        KlineData(
-                            symbol=k['symbol'],
-                            period=k['period'],
-                            timestamp=k['timestamp'],
-                            open_price=k['open'],
-                            high=k['high'],
-                            low=k['low'],
-                            close=k['close'],
-                            volume=k['volume']
-                        )
-                        for k in all_klines
-                    ]
-                    detector.update_pivots(symbol, period, kline_objs)
+                    pivot_service.update_pivots(symbol, period, all_klines)
 
             return result
 
@@ -243,24 +160,7 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.post("/ea/kline_batch")
     async def receive_kline_batch(request: Request) -> Dict:
-        """
-        EA批量推送多个周期的K线数据
-
-        请求体:
-        ```json
-        {
-            "symbol": "GOLD",
-            "is_full": true,
-            "data": {
-                "H4": [{...}, {...}],
-                "H1": [{...}, {...}],
-                "M15": [{...}, {...}],
-                "M5": [{...}, {...}],
-                "M1": [{...}, {...}]
-            }
-        }
-        ```
-        """
+        """EA批量推送多个周期的K线数据"""
         try:
             data = await request.json()
             symbol = data.get('symbol', 'GOLD')
@@ -275,42 +175,22 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
                 if period not in ['H4', 'H1', 'M15', 'M5', 'M1']:
                     continue
 
-                result = store.save_klines(symbol, period, klines, is_full)
+                result = kline_service.process_kline_data(symbol, period, klines, is_full)
                 results[period] = result
 
-                # 记录日志 - 全量K线总是记录，增量K线5%概率记录
                 if is_full or random.random() < KLINE_LOG_PROBABILITY:
                     event_type = "ea_kline_full" if is_full else "ea_kline_incremental"
                     system_log.add_log(
                         event_type,
-                        {
-                            "period": period,
-                            "count": len(klines),
-                            "is_full": is_full
-                        },
+                        {"period": period, "count": len(klines), "is_full": is_full},
                         symbol=symbol,
                         message=f"{'全量' if is_full else '增量'} {period} {len(klines)}条"
                     )
 
-                # 更新转折点
                 if result['status'] == 'ok':
-                    all_klines = store.get_all_klines(symbol, period)
+                    all_klines = kline_service.get_all_kline_objects(symbol, period)
                     if all_klines:
-                        from market.store import KlineData
-                        kline_objs = [
-                            KlineData(
-                                symbol=k['symbol'],
-                                period=k['period'],
-                                timestamp=k['timestamp'],
-                                open_price=k['open'],
-                                high=k['high'],
-                                low=k['low'],
-                                close=k['close'],
-                                volume=k['volume']
-                            )
-                            for k in all_klines
-                        ]
-                        detector.update_pivots(symbol, period, kline_objs)
+                        pivot_service.update_pivots(symbol, period, all_klines)
 
             return {
                 "status": "ok",
@@ -333,12 +213,9 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
         period: str = Query("M5", description="周期: H4/H1/M15/M5/M1"),
         count: int = Query(100, description="返回条数")
     ) -> Dict:
-        """
-        获取K线数据
-        """
+        """获取K线数据"""
         period = period.upper()
-
-        klines = store.get_klines(symbol, period, count)
+        klines = kline_service.get_klines(symbol, period, count)
 
         return {
             "status": "ok",
@@ -355,12 +232,10 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
         direction: str = Query(None, description="方向: high/low"),
         count: int = Query(50, description="返回条数")
     ) -> Dict:
-        """
-        获取转折点数据
-        """
+        """获取转折点数据"""
         if period:
             period = period.upper()
-            pivots = detector.get_pivots(symbol, period, direction, count)
+            pivots = pivot_service.get_pivots(symbol, period, direction, count)
             return {
                 "status": "ok",
                 "symbol": symbol,
@@ -369,10 +244,9 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
                 "data": pivots
             }
         else:
-            # 返回所有周期的转折点
             result = {}
             for p in ['H4', 'H1', 'M15', 'M5', 'M1']:
-                pivots = detector.get_pivots(symbol, p, direction, count)
+                pivots = pivot_service.get_pivots(symbol, p, direction, count)
                 if pivots:
                     result[p] = pivots
 
@@ -384,10 +258,8 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/market/symbols")
     async def get_symbols() -> Dict:
-        """
-        获取所有已存储数据的symbol列表
-        """
-        symbols = store.get_symbols()
+        """获取所有已存储数据的symbol列表"""
+        symbols = kline_service.get_symbols()
         return {
             "status": "ok",
             "symbols": symbols,
@@ -396,31 +268,19 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/market/configured_symbols")
     async def get_configured_symbols() -> Dict:
-        """
-        获取配置的品种列表及其数据状态
-
-        返回系统配置中的品种，以及每个品种的K线数据状态
-        """
-        from market.monitor import TradeConfig
+        """获取配置的品种列表及其数据状态"""
         config = TradeConfig.get_instance()
-
-        # 获取配置的品种
         configured_symbols = list(config.symbol_config.keys())
 
-        # 获取每个品种的状态
         symbols_status = []
         for symbol in configured_symbols:
-            # 检查是否有M1数据
-            m1_status = store.check_m1_updated_within(symbol, 180)
+            m1_status = kline_service.check_m1_updated_within(symbol, 180)
+            latest_m1_time = kline_store.get_latest_kline_time(symbol, 'M1')
 
-            # 获取最新M1 K线时间
-            latest_m1_time = store.get_latest_kline_time(symbol, 'M1')
-
-            # 获取各周期数据条数
             period_counts = {}
-            with store._lock:
+            with kline_store._lock:
                 for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
-                    period_counts[period] = len(store._klines[symbol][period])
+                    period_counts[period] = len(kline_store._klines[symbol][period])
 
             symbols_status.append({
                 "symbol": symbol,
@@ -442,26 +302,24 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/market/status")
     async def get_market_status() -> Dict:
-        """
-        获取行情存储状态
-        """
-        store_status = store.get_status()
-        detector_status = detector.get_status()
-        monitor_status = monitor.get_status()
+        """获取行情存储状态"""
+        store_status = kline_service.get_status()
+        pivot_status = pivot_service.get_status()
+
+        # 使用 trading_server 获取状态
+        server_status = trading_server.get_status() if trading_server else {}
 
         return {
             "status": "ok",
             "store": store_status,
-            "pivots": detector_status,
-            "monitor": monitor_status
+            "pivots": pivot_status,
+            "server": server_status
         }
 
     @router.get("/market/thresholds")
     async def get_thresholds() -> Dict:
-        """
-        获取各周期的接近阈值
-        """
-        thresholds = detector.THRESHOLDS
+        """获取各周期的接近阈值"""
+        thresholds = pivot_service.THRESHOLDS
 
         return {
             "status": "ok",
@@ -479,35 +337,12 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/trend/{symbol}")
     async def get_trend(symbol: str) -> Dict:
-        """
-        获取单个品种的趋势分析
-        """
-        from market.store import KlineData
-
-        # 分析每个周期的趋势
+        """获取单个品种的趋势分析"""
         for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
-            all_klines = store.get_all_klines(symbol, period)
-            if all_klines:
-                kline_objs = [
-                    KlineData(
-                        symbol=k['symbol'],
-                        period=k['period'],
-                        timestamp=k['timestamp'],
-                        open_price=k['open'],
-                        high=k['high'],
-                        low=k['low'],
-                        close=k['close'],
-                        volume=k['volume']
-                    )
-                    for k in all_klines
-                ]
-                trend_analyzer.analyze_trend(symbol, period, kline_objs)
+            tech_service.analyze_trend(symbol, period)
 
-        # 获取共振分析
-        resonance = trend_analyzer.analyze_resonance(symbol)
-
-        # 获取趋势转换历史
-        changes = trend_analyzer.get_trend_changes(symbol, 10)
+        resonance = tech_service.analyze_resonance(symbol)
+        changes = tech_service.get_trend_changes(symbol, 10)
 
         return {
             "status": "ok",
@@ -518,53 +353,24 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.post("/trend/generate_order/{symbol}")
     async def generate_trade_order(symbol: str) -> Dict:
-        """
-        基于趋势分析生成交易建议
-        """
-        from market.store import KlineData
-
-        # 更新趋势分析
+        """基于趋势分析生成交易建议"""
         for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
-            all_klines = store.get_all_klines(symbol, period)
-            if all_klines:
-                kline_objs = [
-                    KlineData(
-                        symbol=k['symbol'],
-                        period=k['period'],
-                        timestamp=k['timestamp'],
-                        open_price=k['open'],
-                        high=k['high'],
-                        low=k['low'],
-                        close=k['close'],
-                        volume=k['volume']
-                    )
-                    for k in all_klines
-                ]
-                trend_analyzer.analyze_trend(symbol, period, kline_objs)
+            tech_service.analyze_trend(symbol, period)
 
-        # 获取所有周期的转折点
-        all_pivots = []
-        for period in ['H4', 'H1', 'M15', 'M5', 'M1']:
-            pivot_list = detector.get_pivots(symbol, period, None, 20)
-            all_pivots.extend(pivot_list)
-
-        # 获取当前价格
-        current_price = store.get_latest_price(symbol)
+        current_price = kline_service.get_latest_price(symbol)
         if not current_price:
             return {"status": "error", "message": "无法获取当前价格"}
 
-        # 生成交易建议
-        suggestion = trend_analyzer.generate_trade_suggestion(symbol, all_pivots, current_price)
+        suggestion = tech_service.generate_trade_suggestion(symbol, current_price)
 
         if not suggestion:
             return {
                 "status": "ok",
                 "message": "当前无交易建议",
-                "resonance": trend_analyzer.analyze_resonance(symbol)
+                "resonance": tech_service.analyze_resonance(symbol)
             }
 
-        # 添加到待确认订单
-        order_id = pending_orders.add_order(suggestion)
+        order_id = pending_order_service.create_order_from_dict(suggestion)
 
         return {
             "status": "ok",
@@ -577,10 +383,8 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/pending_orders")
     async def get_pending_orders(symbol: Optional[str] = None) -> Dict:
-        """
-        获取待确认订单列表
-        """
-        orders = pending_orders.get_pending_orders(symbol)
+        """获取待确认订单列表"""
+        orders = pending_order_service.get_orders_dict(symbol)
         return {
             "status": "ok",
             "count": len(orders),
@@ -589,10 +393,7 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.post("/pending_orders/{order_id}/confirm")
     async def confirm_pending_order(order_id: str, request: Request = None) -> Dict:
-        """
-        确认待确认订单，可更新手数、止损、止盈
-        """
-        # 获取更新数据
+        """确认待确认订单"""
         update_data = {}
         if request:
             try:
@@ -600,35 +401,24 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
             except:
                 pass
 
-        # 更新订单参数
-        if update_data:
-            order = pending_orders.get_order_by_id(order_id)
-            if order:
-                if 'mount' in update_data:
-                    order['mount'] = update_data['mount']
-                if 'sl' in update_data:
-                    order['sl'] = update_data['sl']
-                if 'tp' in update_data:
-                    order['tp'] = update_data['tp']
-
-        order = pending_orders.confirm_order(order_id)
+        # 获取订单并确认
+        order = pending_order_service.confirm_order(order_id, update_data)
         if not order:
             return {"status": "error", "message": "订单不存在"}
 
-        # 记录日志
         system_log = get_system_log()
-        action_text = '买入' if order.get('action') == 'b' else '卖出'
-        symbol = order.get('symbol', '')
-        mount = order.get('mount')
-        price = order.get('price')
-        sl = order.get('sl')
-        tp = order.get('tp')
+        action_text = '买入' if order.action == 'b' else '卖出'
+        symbol = order.symbol
+        mount = order.mount
+        price = order.price
+        sl = order.sl
+        tp = order.tp
 
         system_log.add_log(
             "order_confirmed",
             {
                 "order_id": order_id,
-                "action": order.get('action'),
+                "action": order.action,
                 "price": price,
                 "mount": mount,
                 "sl": sl,
@@ -638,36 +428,28 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
             message=f"{action_text} @ {price}, 手数={mount}, SL={sl}, TP={tp}"
         )
 
-        # 打印确认订单信息
         print(f"[订单确认] {symbol} | {action_text} | 价格={price} | 手数={mount} | SL={sl} | TP={tp}")
 
         return {
             "status": "ok",
             "message": "订单已确认",
-            "order": order
+            "order": order.to_dict()
         }
 
     @router.post("/pending_orders/{order_id}/reject")
     async def reject_pending_order(order_id: str) -> Dict:
-        """
-        拒绝待确认订单
-        """
-        # 先获取订单信息用于日志
-        order = pending_orders.get_order_by_id(order_id)
-
-        success = pending_orders.reject_order(order_id)
-        if not success:
+        """拒绝待确认订单"""
+        order = pending_order_service.reject_order(order_id)
+        if not order:
             return {"status": "error", "message": "订单不存在"}
 
-        # 记录日志
-        if order:
-            system_log = get_system_log()
-            system_log.add_log(
-                "order_rejected",
-                {"order_id": order_id, "action": order.get('action'), "price": order.get('price')},
-                symbol=order.get('symbol'),
-                message=f"订单已拒绝"
-            )
+        system_log = get_system_log()
+        system_log.add_log(
+            "order_rejected",
+            {"order_id": order_id, "action": order.action, "price": order.price},
+            symbol=order.symbol,
+            message=f"订单已拒绝"
+        )
 
         return {
             "status": "ok",
@@ -678,10 +460,7 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/trade_config")
     async def get_trade_config() -> Dict:
-        """
-        获取交易配置
-        """
-        from market.monitor import TradeConfig
+        """获取交易配置"""
         config = TradeConfig.get_instance()
         return {
             "status": "ok",
@@ -690,10 +469,7 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.post("/trade_config")
     async def update_trade_config(request: Request) -> Dict:
-        """
-        更新交易配置
-        """
-        from market.monitor import TradeConfig
+        """更新交易配置"""
         config = TradeConfig.get_instance()
 
         try:
@@ -707,22 +483,98 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
         except Exception as e:
             return {"status": "error", "message": str(e)}
 
+    # ==================== 策略决策接口 ====================
+
+    @router.get("/strategy")
+    async def get_all_strategies() -> Dict:
+        """获取所有策略配置"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        strategies = trading_server.strategy_service.get_all_strategies()
+        return {
+            "status": "ok",
+            "count": len(strategies),
+            "strategies": [s.to_dict() for s in strategies]
+        }
+
+    @router.get("/strategy/decisions")
+    async def get_decisions(symbol: Optional[str] = None, count: int = 20) -> Dict:
+        """获取决策历史"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        decisions = trading_server.get_decision_history(symbol, count)
+        return {
+            "status": "ok",
+            "count": len(decisions),
+            "decisions": decisions
+        }
+
+    @router.get("/strategy/{symbol}")
+    async def get_strategy(symbol: str) -> Dict:
+        """获取品种策略配置"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        strategy = trading_server.strategy_service.get_strategy(symbol)
+        return {
+            "status": "ok",
+            "strategy": strategy.to_dict()
+        }
+
+    @router.post("/strategy/{symbol}")
+    async def update_strategy(symbol: str, request: Request) -> Dict:
+        """更新品种策略配置"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        try:
+            data = await request.json()
+            strategy = trading_server.strategy_service.update_strategy(symbol, data)
+            return {
+                "status": "ok",
+                "message": "策略配置已更新",
+                "strategy": strategy.to_dict()
+            }
+        except Exception as e:
+            return {"status": "error", "message": str(e)}
+
+    @router.delete("/strategy/{symbol}")
+    async def delete_strategy(symbol: str) -> Dict:
+        """删除品种策略配置"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        success = trading_server.strategy_service.strategy_store.delete_strategy(symbol)
+        if success:
+            return {"status": "ok", "message": "策略配置已删除"}
+        return {"status": "error", "message": "策略配置不存在"}
+
+    @router.post("/strategy/trigger/{symbol}")
+    async def trigger_strategy_decision(symbol: str) -> Dict:
+        """手动触发策略决策"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
+
+        current_price = kline_service.get_latest_price(symbol)
+        if not current_price:
+            return {"status": "error", "message": "无法获取当前价格"}
+
+        result = trading_server.process_price(symbol, current_price)
+        return {
+            "status": "ok",
+            "result": result
+        }
+
     # ==================== 系统日志接口 ====================
 
     @router.get("/system/logs")
     async def get_system_logs(count: int = 50, event_type: str = None,
                                symbol: str = None) -> Dict:
-        """
-        获取系统运行日志
-
-        Args:
-            count: 获取数量，默认50条
-            event_type: 过滤事件类型（多个用逗号分隔，如 "order_generated,order_confirmed"）
-            symbol: 过滤品种
-        """
+        """获取系统运行日志"""
         system_log = get_system_log()
 
-        # 支持多个事件类型过滤
         event_types = None
         if event_type:
             event_types = [et.strip() for et in event_type.split(',') if et.strip()]
@@ -745,30 +597,25 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.websocket("/ws/market")
     async def websocket_market(websocket: WebSocket):
-        """
-        WebSocket连接，用于实时推送转折点提醒和大模型分析更新
-        """
+        """WebSocket连接"""
         await websocket.accept()
-        monitor.add_ws_client(websocket)
-        if llm_analyzer:
-            llm_analyzer.add_ws_client(websocket)
 
-        # 添加到系统日志的WebSocket客户端列表
+        # 注册到 TradingServer（内部会自动注册到 llm_analyzer 和 system_log）
+        if trading_server:
+            trading_server.add_ws_client(websocket)
+
         system_log = get_system_log()
         system_log.add_ws_client(websocket)
 
         try:
-            # 发送欢迎消息
             await websocket.send_text(json.dumps({
                 "type": "connected",
                 "message": "已连接到行情监控服务"
             }))
 
-            # 保持连接，等待客户端消息或关闭
             while True:
                 try:
                     data = await websocket.receive_text()
-                    # 可以处理客户端发来的消息
                     msg = json.loads(data)
 
                     if msg.get('type') == 'ping':
@@ -781,38 +628,19 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
             print(f"[WebSocket] 连接异常: {e}")
 
         finally:
-            monitor.remove_ws_client(websocket)
-            if llm_analyzer:
-                llm_analyzer.remove_ws_client(websocket)
+            if trading_server:
+                trading_server.remove_ws_client(websocket)
             system_log.remove_ws_client(websocket)
 
     # ==================== 大模型分析接口 ====================
 
     @router.get("/llm/analysis")
     async def get_llm_analysis(symbol: Optional[str] = None) -> Dict:
-        """
-        获取大模型分析结果
+        """获取大模型分析结果"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
 
-        参数:
-        - symbol: 可选，指定品种；不提供则返回所有
-
-        返回:
-        ```json
-        {
-            "status": "ok",
-            "data": {
-                "symbol": {
-                    "analysis": {...},
-                    "analyzed_at": "2024-01-01T00:00:00"
-                }
-            }
-        }
-        ```
-        """
-        if not llm_analyzer:
-            return {"status": "error", "message": "大模型分析器未初始化"}
-
-        result = llm_analyzer.get_analysis(symbol)
+        result = trading_server.get_llm_analysis(symbol)
         return {
             "status": "ok",
             "data": result
@@ -820,87 +648,43 @@ def create_market_routes(store: MarketStore, detector: PivotDetector,
 
     @router.get("/llm/status")
     async def get_llm_status() -> Dict:
-        """
-        获取大模型分析器状态
-
-        返回:
-        ```json
-        {
-            "status": "ok",
-            "data": {
-                "enabled": true,
-                "model": "gpt-4o-mini",
-                "last_analysis_time": "2024-01-01T00:00:00",
-                "symbols_analyzed": ["GOLD", "EURUSD"]
-            }
-        }
-        ```
-        """
-        if not llm_analyzer:
-            return {"status": "ok", "data": {"enabled": False, "message": "大模型分析器未初始化"}}
+        """获取大模型分析器状态"""
+        if not trading_server:
+            return {"status": "ok", "data": {"enabled": False, "message": "TradingServer 未初始化"}}
 
         return {
             "status": "ok",
-            "data": llm_analyzer.get_status()
+            "data": trading_server.get_llm_status()
         }
 
     @router.get("/llm/config")
     async def get_llm_config() -> Dict:
-        """
-        获取大模型配置（API Key会脱敏显示）
-
-        返回:
-        ```json
-        {
-            "status": "ok",
-            "config": {
-                "api_key": "sk-****1234",
-                "api_key_set": true,
-                "api_base": "https://api.openai.com/v1",
-                "model": "gpt-4o-mini",
-                "enabled": true
-            }
-        }
-        ```
-        """
-        if not llm_analyzer:
-            return {"status": "ok", "config": {"enabled": False, "message": "大模型分析器未初始化"}}
+        """获取大模型配置"""
+        if not trading_server:
+            return {"status": "ok", "config": {"enabled": False, "message": "TradingServer 未初始化"}}
 
         return {
             "status": "ok",
-            "config": llm_analyzer.get_config()
+            "config": trading_server.get_llm_config()
         }
 
     @router.post("/llm/trigger")
     async def trigger_llm_analysis() -> Dict:
-        """
-        手动触发大模型分析
-        """
-        if not llm_analyzer:
-            return {"status": "error", "message": "大模型分析器未初始化"}
+        """手动触发大模型分析"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
 
-        return llm_analyzer.trigger_analysis()
+        return trading_server.trigger_llm_analysis()
 
     @router.post("/llm/configure")
     async def configure_llm(request: Request) -> Dict:
-        """
-        配置大模型参数
-
-        请求体:
-        ```json
-        {
-            "api_key": "your-api-key",
-            "api_base": "https://api.openai.com/v1",
-            "model": "gpt-4o-mini"
-        }
-        ```
-        """
-        if not llm_analyzer:
-            return {"status": "error", "message": "大模型分析器未初始化"}
+        """配置大模型参数"""
+        if not trading_server:
+            return {"status": "error", "message": "TradingServer 未初始化"}
 
         try:
             data = await request.json()
-            result = llm_analyzer.configure(
+            result = trading_server.configure_llm(
                 api_key=data.get("api_key"),
                 api_base=data.get("api_base"),
                 model=data.get("model")
diff --git a/routes_news.py b/routes_news.py
index 0044119..bf08144 100644
--- a/routes_news.py
+++ b/routes_news.py
@@ -23,10 +23,10 @@ def create_news_routes():
 
         返回指定日期或所有日期的财经事件
         """
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
 
-        calendar = news_monitor.get_calendar(date)
+        calendar = monitor.get_calendar(date)
 
         return {
             "status": "ok",
@@ -44,10 +44,10 @@ def create_news_routes():
 
         默认返回未来24小时内的重要财经事件
         """
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
 
-        events = news_monitor.get_upcoming_events(hours)
+        events = monitor.get_upcoming_events(hours)
 
         return {
             "status": "ok",
@@ -65,10 +65,10 @@ def create_news_routes():
 
         返回最近的有影响的快讯（关键人物讲话、重要事件）
         """
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
 
-        news_list = news_monitor.get_recent_news(count)
+        news_list = monitor.get_recent_news(count)
 
         return {
             "status": "ok",
@@ -81,10 +81,10 @@ def create_news_routes():
         """
         获取新闻模块状态
         """
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
 
-        status = news_monitor.get_status()
+        status = monitor.get_status()
 
         return {
             "status": "ok",
@@ -94,25 +94,24 @@ def create_news_routes():
     @router.websocket("/ws")
     async def news_websocket(websocket: WebSocket):
         """
-        新闻WebSocket推送
+        市场事件WebSocket推送
 
         推送内容类型:
-        - event_reminder: 事件发布前提醒
-        - event_result: 事件发布结果
-        - flash_news: 重要快讯
+        - calendar_event_reminder: 财经日历事件发布前提醒
         - calendar_update: 日历更新
+        - flash_news: 重要快讯
         """
-        from market.news_monitor import get_news_monitor
-        news_monitor = get_news_monitor()
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
 
         await websocket.accept()
-        news_monitor.add_ws_client(websocket)
+        monitor.ws_manager.add_client(websocket)
 
         try:
             # 发送欢迎消息
             await websocket.send_json({
                 "type": "connected",
-                "message": "已连接到新闻推送服务"
+                "message": "已连接到市场事件推送服务"
             })
 
             # 保持连接，等待客户端消息或断开
@@ -127,9 +126,9 @@ def create_news_routes():
         except WebSocketDisconnect:
             pass
         except Exception as e:
-            print(f"[NewsWebSocket] 连接异常: {e}")
+            print(f"[MarketEventWebSocket] 连接异常: {e}")
         finally:
-            news_monitor.remove_ws_client(websocket)
+            monitor.ws_manager.remove_client(websocket)
 
     @router.get("/impact/{symbol}")
     async def get_symbol_impact(symbol: str):
@@ -138,7 +137,7 @@ def create_news_routes():
 
         返回影响该品种的即将发布事件
         """
-        from market.news_monitor import get_news_monitor
+        from market.market_event_monitor import get_market_event_monitor
         from market.event_config import WATCH_SYMBOLS
 
         if symbol not in WATCH_SYMBOLS:
@@ -148,8 +147,8 @@ def create_news_routes():
                 "supported_symbols": WATCH_SYMBOLS
             }
 
-        news_monitor = get_news_monitor()
-        events = news_monitor.get_upcoming_events(72)  # 未来3天
+        monitor = get_market_event_monitor()
+        events = monitor.get_upcoming_events(72)  # 未来3天
 
         # 过滤相关事件
         related_events = [
@@ -164,4 +163,36 @@ def create_news_routes():
             "data": related_events
         }
 
+    @router.post("/calendar/clear")
+    async def clear_calendar():
+        """
+        清空财经日历数据
+
+        清空后需要EA重新推送日历数据（会应用时区转换）
+        """
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
+        monitor.clear_calendar()
+
+        return {
+            "status": "ok",
+            "message": "财经日历数据已清空，请让EA重新推送日历数据"
+        }
+
+    @router.delete("/calendar")
+    async def clear_calendar_delete():
+        """
+        清空财经日历数据 (DELETE方法)
+
+        清空后需要EA重新推送日历数据（会应用时区转换）
+        """
+        from market.market_event_monitor import get_market_event_monitor
+        monitor = get_market_event_monitor()
+        monitor.clear_calendar()
+
+        return {
+            "status": "ok",
+            "message": "财经日历数据已清空，请让EA重新推送日历数据"
+        }
+
     return router
\ No newline at end of file
diff --git a/routes_position.py b/routes_position.py
index ce94a25..1b5a98b 100644
--- a/routes_position.py
+++ b/routes_position.py
@@ -6,18 +6,18 @@
 
 from fastapi import APIRouter, Request
 from typing import Dict, Optional
-import json
 
-from market.position_store import get_position_store
 from market.system_log import get_system_log
 
 
-def create_position_routes() -> APIRouter:
+def create_position_routes(trading_server=None) -> APIRouter:
     """
     创建仓位管理路由
+
+    Args:
+        trading_server: TradingServer 实例
     """
     router = APIRouter()
-    position_store = get_position_store()
 
     @router.post("/ea/positions")
     async def receive_positions(request: Request) -> Dict:
@@ -50,7 +50,8 @@ def create_position_routes() -> APIRouter:
             if not symbol:
                 return {"status": "error", "message": "缺少品种信息"}
 
-            result = position_store.update_positions(symbol, positions)
+            # 使用新的持仓服务
+            result = trading_server.position_service.update_positions(symbol, positions)
 
             # 记录日志
             if positions:
@@ -79,7 +80,7 @@ def create_position_routes() -> APIRouter:
         参数:
         - symbol: 可选，指定品种；不提供则返回所有
         """
-        positions = position_store.get_positions(symbol)
+        positions = trading_server.position_service.get_positions(symbol)
         return {
             "status": "ok",
             "count": len(positions),
@@ -94,7 +95,7 @@ def create_position_routes() -> APIRouter:
         参数:
         - symbol: 可选，指定品种；不提供则返回所有
         """
-        summary = position_store.get_summary(symbol)
+        summary = trading_server.position_service.get_summary(symbol)
         return {
             "status": "ok",
             **summary
@@ -105,7 +106,7 @@ def create_position_routes() -> APIRouter:
         """
         获取单个持仓详情
         """
-        position = position_store.get_position(symbol, ticket)
+        position = trading_server.position_service.get_position(symbol, ticket)
         if not position:
             return {"status": "error", "message": "持仓不存在"}
         return {
@@ -115,16 +116,75 @@ def create_position_routes() -> APIRouter:
 
     # ==================== 交易历史接口 ====================
 
+    @router.post("/ea/trade_history")
+    async def receive_trade_history(request: Request) -> Dict:
+        """
+        EA推送交易历史数据
+
+        请求体:
+        ```json
+        {
+            "deals": [
+                {
+                    "ticket": 123456,
+                    "order": 789012,
+                    "symbol": "GOLD#",
+                    "type": 0,
+                    "entry": 0,
+                    "volume": 0.1,
+                    "price": 2050.50,
+                    "profit": 0,
+                    "swap": 0,
+                    "commission": -5.0,
+                    "time": "2026.03.16 15:30:00",
+                    "comment": ""
+                }
+            ]
+        }
+        ```
+        """
+        try:
+            data = await request.json()
+            deals = data.get('deals', [])
+
+            if not deals:
+                return {"status": "ok", "message": "无数据", "count": 0}
+
+            # 使用新的交易历史服务
+            new_count = trading_server.trade_history_service.process_deals(deals)
+
+            # 记录日志
+            system_log = get_system_log()
+            system_log.add_log(
+                "trade_history_update",
+                {
+                    "deals_received": len(deals),
+                    "deals_new": new_count,
+                    "total_deals": len(trading_server.trade_history_store.get())
+                },
+                message=f"交易历史上报: 收到{len(deals)}条, 新增{new_count}条"
+            )
+
+            return {
+                "status": "ok",
+                "message": "交易历史已更新",
+                "count": new_count
+            }
+
+        except Exception as e:
+            print(f"[PositionAPI] 接收交易历史异常: {e}")
+            return {"status": "error", "message": str(e)}
+
     @router.get("/trade_history")
-    async def get_trade_history() -> Dict:
+    async def get_trade_history(symbol: Optional[str] = None) -> Dict:
         """
         获取交易历史数据
-        """
-        from market.trade_history_store import get_trade_history_store
-        store = get_trade_history_store()
 
-        deals = store.get_all_deals()
-        statistics = store.get_statistics()
+        参数:
+        - symbol: 可选，指定品种
+        """
+        deals = trading_server.trade_history_service.get_deals(symbol)
+        statistics = trading_server.trade_history_service.get_statistics(symbol)
 
         return {
             "status": "ok",
@@ -133,14 +193,14 @@ def create_position_routes() -> APIRouter:
         }
 
     @router.get("/trade_history/statistics")
-    async def get_trade_history_statistics() -> Dict:
+    async def get_trade_history_statistics(symbol: Optional[str] = None) -> Dict:
         """
         获取交易历史统计
-        """
-        from market.trade_history_store import get_trade_history_store
-        store = get_trade_history_store()
 
-        statistics = store.get_statistics()
+        参数:
+        - symbol: 可选，指定品种
+        """
+        statistics = trading_server.trade_history_service.get_statistics(symbol)
 
         return {
             "status": "ok",
diff --git a/server.py b/server.py
index 292a89b..b599fcc 100644
--- a/server.py
+++ b/server.py
@@ -2,256 +2,476 @@
 # -*- coding: utf-8 -*-
 """
 交易服务核心类
+内部聚合信号层，对外暴露策略层
 """
 
 from collections import deque, defaultdict
-from typing import List, Dict, Optional
+from typing import List, Dict, Optional, Set
+from datetime import datetime
 import threading
+import asyncio
+import json
 
 from models import TradeInstruction
-from market.store import MarketStore
-from market.pivot_detector import PivotDetector
-from market.monitor import PivotMonitor, TradeConfig
-from market.trend_analyzer import TrendAnalyzer
-from market.pending_orders import PendingOrderManager
+from market.models import KlineData, PivotPoint, LLMConfig, LLMAnalysisResult
+from market.models import TechTrendState, TechResonanceResult, TechTradeSuggestion
+from market.models import PendingOrder, TradingInstruction, TradingSignal, TradingDecision
+from market.models import StatisticsData, PositionData, TradeDeal
+from market.store import KlineStore, PivotStore, LLMStore, TechStore
+from market.store import PendingOrderStore, TradingInstructionStore, SignalStore, StrategyStore
+from market.store import StatisticsStore, PositionStore, TradeHistoryStore
+from market.services import KlineService, PivotService, LLMService, TechService
+from market.services import PendingOrderService, TradingInstructionService
+from market.services import SignalService, StrategyService, RiskManager
+from market.services import PivotSignalGenerator, KeyLevelSignalGenerator, AIEntrySignalGenerator
+from market.services import StatisticsService, PositionService, TradeHistoryService
+from market.trade_config import TradeConfig
 from market.llm_analyzer import LLMAnalyzer
 
 
 class TradingServer:
-    """交易服务主类"""
+    """
+    交易服务主类
+
+    架构：
+    - 内部：行情模块 → 信号层 → 策略层 → 订单/指令
+    - 对外：只暴露策略服务接口
+    """
 
     def __init__(self):
-        # 交易指令队列 - 按SYMBOL分类
-        # 结构: {"SYMBOL1": [TradeInstruction1, ...], "SYMBOL2": [...]}
-        self.trade_instructions = defaultdict(list)
-
-        # 平仓指令队列 - 按SYMBOL分类
-        # 结构: {"SYMBOL1": [ticket1, ticket2, ...], ...}
-        self.close_position_instructions = defaultdict(list)
-
-        # 统计数据历史 - 保留最新10条
-        # 结构: deque([{stat_data1}, {stat_data2}, ...], maxlen=10)
-        self.statistics_history = deque(maxlen=10)
-
-        # 线程锁 - 确保线程安全
+        # 线程锁
         self.lock = threading.RLock()
 
-        # ==================== 行情模块 ====================
-        # K线存储
-        self.market_store = MarketStore()
-        # 转折点检测器
-        self.pivot_detector = PivotDetector()
-        # 待确认订单管理器（需要在 PivotMonitor 之前初始化）
-        self.pending_orders = PendingOrderManager()
-        # 设置订单确认回调
-        self.pending_orders.set_confirm_callback(self._on_order_confirmed)
-        # 大模型分析器（需要在 PivotMonitor 之前初始化）
-        self.llm_analyzer = LLMAnalyzer(self.market_store)
-        # 转折点监控器
-        self.pivot_monitor = PivotMonitor(self.market_store, self.pivot_detector, self.pending_orders, self.llm_analyzer)
-        # 设置统计数据历史引用（用于获取价差）
-        self.pivot_monitor.set_statistics_history(self.statistics_history)
-        # 趋势分析器
-        self.trend_analyzer = TrendAnalyzer()
-        self.trend_analyzer.set_statistics_history(self.statistics_history)
-        # 交易配置
+        # ==================== 行情模块（内部） ====================
+        # 存储层
+        self.kline_store = KlineStore()
+        self.pivot_store = PivotStore()
+        self.llm_store = LLMStore()
+        self.tech_store = TechStore()
+
+        # 服务层
+        self.kline_service = KlineService(self.kline_store)
+        self.pivot_service = PivotService(self.pivot_store, self.kline_store)
+        self.llm_service = LLMService(self.llm_store, self.kline_service)
+        self.tech_service = TechService(self.tech_store, self.kline_store, self.pivot_store)
+
+        # LLM 分析器
+        self.llm_analyzer = LLMAnalyzer(self.llm_service)
+
+        # ==================== 统计/持仓/交易历史模块 ====================
+        # 存储层
+        self.statistics_store = StatisticsStore()
+        self.position_store = PositionStore()
+        self.trade_history_store = TradeHistoryStore()
+
+        # 服务层
+        self.statistics_service = StatisticsService(self.statistics_store)
+        self.position_service = PositionService(self.position_store)
+        self.trade_history_service = TradeHistoryService(self.trade_history_store)
+
+        # TechService 使用统计服务获取价差
+        self.tech_service.set_statistics_service(self.statistics_service)
+
+        # ==================== 信号层（内部，不暴露） ====================
+        # 存储层
+        self._signal_store = SignalStore()
+
+        # 服务层
+        self._signal_service = SignalService(self._signal_store)
+
+        # ==================== 策略层（对外暴露） ====================
+        # 存储层
+        self._strategy_store = StrategyStore()
+
+        # 风险管理器
+        self._risk_manager = RiskManager()
+
+        # 服务层
+        self.strategy_service = StrategyService(
+            self._strategy_store,
+            self._signal_service,
+            self._risk_manager
+        )
+
+        # ==================== 交易配置 ====================
         self.trade_config = TradeConfig.get_instance()
 
-        print("[信息] 交易服务已初始化")
+        # 注册信号生成器
+        self._setup_signal_generators()
 
-    def _on_order_confirmed(self, order: Dict):
+        # ==================== 订单/指令模块 ====================
+        # 存储层
+        self.pending_order_store = PendingOrderStore()
+        self.trading_instruction_store = TradingInstructionStore()
+
+        # 服务层
+        self.pending_order_service = PendingOrderService(self.pending_order_store)
+        self.trading_instruction_service = TradingInstructionService(self.trading_instruction_store)
+
+        # 设置订单确认回调
+        self.pending_order_service.set_confirm_callback(self._on_order_confirmed)
+
+        # 更新策略服务的订单服务引用
+        self.strategy_service.set_pending_order_service(self.pending_order_service)
+
+        # 策略服务使用持仓服务进行风险管理
+        self.strategy_service.set_position_service(self.position_service)
+
+        # 风险管理器使用统计服务获取账户信息
+        self._risk_manager.set_statistics_service(self.statistics_service)
+
+        # ==================== WebSocket 广播 ====================
+        self._ws_clients: Set = set()
+        self._ws_lock = threading.Lock()
+        self._main_loop = None
+
+        # ==================== 决策历史 ====================
+        self._decision_history: deque = deque(maxlen=50)
+
+        # 兼容旧代码的别名
+        self.market_store = self.kline_store
+        self.pivot_detector = self.pivot_service
+        self.trend_analyzer = self.tech_service
+        self.pending_orders = self.pending_order_service
+        self.trade_instructions = defaultdict(list)
+        # 统计数据历史兼容（已迁移到 statistics_store）
+        self.statistics_history = self.statistics_store._all_data
+
+        print("[TradingServer] 交易服务已初始化")
+
+    def _setup_signal_generators(self):
+        """设置信号生成器"""
+        # 转折点信号生成器
+        pivot_generator = PivotSignalGenerator(
+            pivot_service=self.pivot_service,
+            pivot_store=self.pivot_store,
+            kline_store=self.kline_store
+        )
+        self._signal_service.register_generator("pivot", pivot_generator)
+
+        # 关键点位信号生成器
+        key_level_generator = KeyLevelSignalGenerator()
+        self._signal_service.register_generator("key_level", key_level_generator)
+
+        # AI入场信号生成器
+        ai_entry_generator = AIEntrySignalGenerator()
+        ai_entry_generator.set_llm_analyzer(self.llm_analyzer)
+        self._signal_service.register_generator("ai_entry", ai_entry_generator)
+
+    # ==================== WebSocket 管理 ====================
+
+    def set_event_loop(self, loop):
+        """设置主事件循环引用"""
+        self._main_loop = loop
+        print("[TradingServer] 已设置主事件循环")
+
+        # 同时设置内部模块的事件循环
+        self.llm_analyzer.set_event_loop(loop)
+
+    def add_ws_client(self, client):
+        """添加WebSocket客户端"""
+        with self._ws_lock:
+            self._ws_clients.add(client)
+            # 同时注册到内部模块
+            self.llm_analyzer.add_ws_client(client)
+            print(f"[TradingServer] WebSocket客户端已连接, 当前连接数: {len(self._ws_clients)}")
+
+    def remove_ws_client(self, client):
+        """移除WebSocket客户端"""
+        with self._ws_lock:
+            self._ws_clients.discard(client)
+            # 同时从内部模块移除
+            self.llm_analyzer.remove_ws_client(client)
+            print(f"[TradingServer] WebSocket客户端已断开, 当前连接数: {len(self._ws_clients)}")
+
+    def get_ws_client_count(self) -> int:
+        """获取WebSocket客户端数量"""
+        with self._ws_lock:
+            return len(self._ws_clients)
+
+    def _broadcast(self, data: Dict):
+        """广播数据到所有WebSocket客户端"""
+        message = json.dumps(data, ensure_ascii=False)
+
+        with self._ws_lock:
+            clients = list(self._ws_clients)
+
+        if not clients:
+            return
+
+        if self._main_loop and self._main_loop.is_running():
+            for client in clients:
+                try:
+                    asyncio.run_coroutine_threadsafe(
+                        self._send_to_client(client, message),
+                        self._main_loop
+                    )
+                except Exception as e:
+                    print(f"[TradingServer] 发送WebSocket消息失败: {e}")
+
+    async def _send_to_client(self, client, message: str):
+        """发送消息到客户端"""
+        try:
+            await client.send_text(message)
+        except Exception as e:
+            print(f"[TradingServer] 发送消息到客户端失败: {e}")
+            with self._ws_lock:
+                self._ws_clients.discard(client)
+
+    def _broadcast_decision(self, decision: TradingDecision):
+        """广播交易决策"""
+        self._broadcast({
+            "type": "trading_decision",
+            "data": decision.to_dict()
+        })
+
+    def _broadcast_pending_order(self, order: PendingOrder):
+        """广播待确认订单"""
+        self._broadcast({
+            "type": "pending_order",
+            "data": order.to_dict()
+        })
+
+    # ==================== 价格处理与决策 ====================
+
+    def process_price(self, symbol: str, current_price: float) -> Dict:
         """
-        订单确认回调 - 将确认的订单加入交易队列
+        处理价格变动，生成决策
+
+        这是核心入口：
+        1. 信号层生成信号
+        2. 策略层综合决策
+        3. 自动执行决策（生成PendingOrder）
+
+        Args:
+            symbol: 品种
+            current_price: 当前价格
+
+        Returns:
+            处理结果
         """
-        print(f"[TradingServer] _on_order_confirmed 被调用，订单: {order}")
+        result = {
+            "signals_generated": 0,
+            "decision": None,
+            "pending_order": None
+        }
+
+        if not self.trade_config.enabled:
+            return result
+
+        # 1. 信号层生成信号
+        signals = self._signal_service.generate_signals(symbol, current_price)
+        result["signals_generated"] = len(signals)
+
+        if signals:
+            print(f"[TradingServer] {symbol} 生成了 {len(signals)} 个信号")
+
+        # 2. 策略层做决策
+        decision = self.strategy_service.make_decision(symbol, current_price)
+
+        if decision:
+            # 记录决策历史
+            self._decision_history.append(decision)
+
+            result["decision"] = decision.to_dict()
+
+            # 广播决策
+            self._broadcast_decision(decision)
+
+            # 3. 自动执行决策（如果允许）
+            if decision.action != "none" and decision.status != "rejected":
+                order_id = self.strategy_service.execute_decision(decision)
+                if order_id:
+                    result["pending_order"] = {
+                        "order_id": order_id,
+                        "symbol": decision.symbol,
+                        "action": decision.action,
+                        "price": decision.entry_price,
+                        "volume": decision.volume,
+                        "sl": decision.sl,
+                        "tp": decision.tp
+                    }
+
+        return result
+
+    # ==================== 订单确认回调 ====================
+
+    def _on_order_confirmed(self, order: PendingOrder):
+        """订单确认回调"""
+        print(f"[TradingServer] 订单确认: {order.order_id}")
+
+        # 广播订单确认
+        self._broadcast_pending_order(order)
+
         try:
             # 创建交易指令
-            instruction = TradeInstruction(
-                symbol=order.get('symbol', ''),
-                action=order.get('action', 'b'),
-                mount=order.get('mount', 0.01),
-                price=order.get('price', 0),
-                sl=order.get('sl', 0),
-                tp=order.get('tp', 0),
-                description=order.get('description', '')
-            )
-            print(f"[TradingServer] 创建交易指令: symbol={instruction.symbol}, action={instruction.action}, mount={instruction.mount}, price={instruction.price}, sl={instruction.sl}, tp={instruction.tp}, description={instruction.description}")
-            # 添加到交易队列
-            result = self.add_trade_instruction([instruction])
-            print(f"[TradingServer] 订单已加入交易队列: {result}")
+            instruction_id = self.trading_instruction_service.create_from_pending_order(order)
+            print(f"[TradingServer] 交易指令已创建: {instruction_id}")
         except Exception as e:
-            print(f"[TradingServer] 加入交易队列失败: {e}")
+            print(f"[TradingServer] 创建交易指令失败: {e}")
             import traceback
             traceback.print_exc()
 
-    def add_trade_instruction(self, instructions: List[TradeInstruction]) -> dict:
-        """
-        添加交易指令
-        返回一个字典，包含添加和拒绝的数量。
-
-        在此处对缺失的 sl/tp 值进行补全：
-          - sl 若未设置保持0.0
-          - tp 若未设置则默认 0.005
-
-        同时按照规则进行价格检查：
-          * 买入指令: price 需大于 sl 且小于 tp
-          * 卖出指令: price 需小于 sl 且大于 tp
-        若 sl 或 tp 未设置（<=0），则忽略检查。
-        """
-        with self.lock:
-            added = 0
-            rejected = 0
-            for instruction in instructions:
-                # 填充默认值
-                if instruction.sl is None:
-                    instruction.sl = 0.0
-                if instruction.tp is None or instruction.tp <= 0.0:
-                    instruction.tp = 0.005
-
-                # 验证价格与 SL/TP 关系
-                if instruction.sl > 0 and instruction.tp > 0:
-                    if instruction.action.lower() == 'b':
-                        if not (instruction.price > instruction.sl and instruction.price < instruction.tp):
-                            print(f"[警告] 忽略无效买入指令: {instruction}")
-                            rejected += 1
-                            continue
-                    elif instruction.action.lower() == 's':
-                        if not (instruction.price < instruction.sl and instruction.price > instruction.tp):
-                            print(f"[警告] 忽略无效卖出指令: {instruction}")
-                            rejected += 1
-                            continue
-
-                # 直接使用原始symbol，不做转换
-                symbol = instruction.symbol
-                self.trade_instructions[symbol].append(instruction)
-                added += 1
-
-            print(f"[信息] 已添加 {added} 条交易指令, 拒绝 {rejected} 条")
-            for symbol, trades in self.trade_instructions.items():
-                print(f"       {symbol}: {len(trades)} 条待执行")
-
-            return {"added": added, "rejected": rejected}
-
+    # ==================== EA 接口 ====================
 
     def get_trades_by_symbol(self, symbol: str, price: Optional[float] = None) -> Dict:
         """
-        获取指定SYMBOL的交易指令并删除
+        EA获取交易数据
 
-        同时调用策略检查（在 PivotMonitor 中执行）
-
-        返回: {"trades": [...], "pivot_alerts": [...]}
+        返回：
+        - trades: 待执行的交易指令
+        - pending_orders: 待确认的订单
+        - close_tickets: 平仓指令
         """
-        # 检查所有策略（关键点位、支撑压力、AI趋势）
-        pivot_alerts = []
+        # 处理价格（生成信号和决策）
+        process_result = {}
         if price is not None:
-            pivot_alerts = self.pivot_monitor.check_and_alert(symbol, price)
-            if pivot_alerts:
-                print(f"[信息] {symbol} 当前价格 {price} 接近转折点")
+            process_result = self.process_price(symbol, price)
 
-        with self.lock:
-            # 调试：打印当前所有待执行指令
-            if len(self.trade_instructions) > 0:
-                print(f"[调试] get_trades_by_symbol 查询symbol={symbol}")
-                print(f"[调试] 当前trade_instructions keys: {list(self.trade_instructions.keys())}")
-                for k, v in self.trade_instructions.items():
-                    print(f"[调试]   {k}: {len(v)} 条")
+        # 获取交易指令
+        trades = self.trading_instruction_service.fetch_instructions_for_ea(symbol, price)
 
-            if symbol not in self.trade_instructions or len(self.trade_instructions[symbol]) == 0:
-                return {"trades": [], "pivot_alerts": pivot_alerts}
+        # 获取待确认订单
+        pending_orders = self.pending_order_service.get_pending_orders_dict(symbol)
 
-            # 获取所有指令并直接返回
-            trades = self.trade_instructions[symbol]
-            result = [{
-                "symbol": t.symbol,
-                "action": t.action.lower(),
-                "mount": t.mount,
-                "price": t.price,
-                "sl": t.sl,
-                "tp": t.tp,
-                "description": t.description or ""
-            } for t in trades]
+        # 获取平仓指令
+        close_tickets = self.get_close_position_instructions(symbol)
 
-            # 清空指令队列
-            self.trade_instructions[symbol] = []
+        return {
+            "trades": trades,
+            "pending_orders": pending_orders,
+            "close_tickets": close_tickets,
+            "process_result": process_result
+        }
 
-            if len(result) > 0:
-                print(f"[信息] 推送了 {len(result)} 条 {symbol} 指令给EA")
+    # ==================== 交易员接口 ====================
 
-            return {"trades": result, "pivot_alerts": pivot_alerts}
+    def add_trade_instruction(self, instructions: List[TradeInstruction]) -> dict:
+        """添加交易指令（交易员手动下单）"""
+        added = 0
+        rejected = 0
+
+        for instruction in instructions:
+            sl = instruction.sl if instruction.sl is not None else 0.0
+            tp = instruction.tp if instruction.tp is not None and instruction.tp > 0 else 0.005
+
+            # 验证止损止盈
+            if sl > 0 and tp > 0:
+                if instruction.action.lower() == 'b':
+                    if not (instruction.price > sl and instruction.price < tp):
+                        print(f"[警告] 忽略无效买入指令: {instruction}")
+                        rejected += 1
+                        continue
+                elif instruction.action.lower() == 's':
+                    if not (instruction.price < sl and instruction.price > tp):
+                        print(f"[警告] 忽略无效卖出指令: {instruction}")
+                        rejected += 1
+                        continue
+
+            self.trading_instruction_service.create_instruction(
+                symbol=instruction.symbol,
+                action=instruction.action,
+                price=instruction.price,
+                mount=instruction.mount,
+                sl=sl,
+                tp=tp,
+                description=instruction.description or "",
+                source="manual"
+            )
+            added += 1
+
+        print(f"[TradingServer] 已添加 {added} 条交易指令, 拒绝 {rejected} 条")
+        return {"added": added, "rejected": rejected}
+
+    # ==================== 统计数据 ====================
 
     def save_statistics(self, stat_data: dict) -> None:
-        """
-        保存统计数据
-        自动保留最新10条
-        """
-        with self.lock:
-            self.statistics_history.append(stat_data)
-            print(f"[信息] 统计数据已记录 - {stat_data.get('timestamp', 'unknown')}")
-            print(f"       当前保存数据条数: {len(self.statistics_history)}")
+        """保存统计数据"""
+        self.statistics_service.process_statistics(stat_data)
 
     def get_latest_statistics(self, count: int = 10) -> List[Dict]:
-        """
-        获取最新的统计数据
-        """
-        with self.lock:
-            return list(self.statistics_history)[-count:]
+        """获取最新的统计数据"""
+        stats = self.statistics_store.get_all_recent(count)
+        return [s.to_dict() for s in stats]
+
+    # ==================== 指令管理 ====================
 
     def get_all_pending_trades(self) -> Dict[str, List[Dict]]:
-        """
-        获取所有待执行的交易指令（不删除）
-        用于查询接口
-        """
-        with self.lock:
-            result = {}
-            for symbol, trades in self.trade_instructions.items():
-                result[symbol] = [
-                    {
-                        "symbol": t.symbol,
-                        "action": t.action.lower(),
-                        "mount": t.mount,
-                        "price": t.price,
-                        "sl": t.sl,
-                        "tp": t.tp,
-                        "description": t.description or ""
-                    }
-                    for t in trades
-                ]
-            return result
+        """获取所有待执行的交易指令"""
+        return self.trading_instruction_service.get_all_instructions_dict()
 
     def clear_trades(self, symbol: Optional[str] = None) -> int:
-        """
-        清空交易指令
-        如果指定symbol则只清空该symbol
-        返回清空的指令数量
-        """
-        with self.lock:
-            if symbol is None:
-                total = sum(len(trades) for trades in self.trade_instructions.values())
-                self.trade_instructions.clear()
-                print(f"[信息] 已清空所有交易指令，共 {total} 条")
-                return total
-            else:
-                count = len(self.trade_instructions.get(symbol, []))
-                if symbol in self.trade_instructions:
-                    del self.trade_instructions[symbol]
-                print(f"[信息] 已清空 {symbol} 的交易指令，共 {count} 条")
-                return count
+        """清空交易指令"""
+        if symbol is None:
+            count = self.trading_instruction_service.get_total_count()
+            self.trading_instruction_service.clear_all()
+            print(f"[TradingServer] 已清空所有交易指令，共 {count} 条")
+            return count
+        else:
+            return self.trading_instruction_service.clear_by_symbol(symbol)
 
     def add_close_position_instruction(self, symbol: str, ticket: int) -> None:
-        """
-        添加平仓指令
-        """
+        """添加平仓指令"""
         with self.lock:
-            self.close_position_instructions[symbol].append(ticket)
-            print(f"[信息] 添加平仓指令: {symbol} ticket={ticket}")
+            if not hasattr(self, '_close_position_instructions'):
+                self._close_position_instructions = defaultdict(list)
+            self._close_position_instructions[symbol].append(ticket)
+            print(f"[TradingServer] 添加平仓指令: {symbol} ticket={ticket}")
 
     def get_close_position_instructions(self, symbol: str) -> List[int]:
-        """
-        获取并清空平仓指令
-        """
+        """获取并清空平仓指令"""
         with self.lock:
-            tickets = self.close_position_instructions.get(symbol, [])
-            self.close_position_instructions[symbol] = []
+            if not hasattr(self, '_close_position_instructions'):
+                return []
+            tickets = self._close_position_instructions.get(symbol, [])
+            self._close_position_instructions[symbol] = []
             if tickets:
-                print(f"[信息] 返回平仓指令: {symbol} tickets={tickets}")
+                print(f"[TradingServer] 返回平仓指令: {symbol} tickets={tickets}")
             return tickets
+
+    # ==================== 决策历史 ====================
+
+    def get_decision_history(self, symbol: str = None, count: int = 20) -> List[Dict]:
+        """获取决策历史"""
+        decisions = list(self._decision_history)
+        if symbol:
+            decisions = [d for d in decisions if d.symbol == symbol]
+        return [d.to_dict() for d in decisions[-count:]]
+
+    # ==================== LLM 分析接口（内部封装） ====================
+
+    def get_llm_analysis(self, symbol: str = None) -> Dict:
+        """获取大模型分析结果"""
+        return self.llm_analyzer.get_analysis(symbol)
+
+    def get_llm_status(self) -> Dict:
+        """获取大模型分析器状态"""
+        status = self.llm_analyzer.get_status()
+        status["interval_seconds"] = self.llm_analyzer.ANALYZE_INTERVAL
+        return status
+
+    def get_llm_config(self) -> Dict:
+        """获取大模型配置"""
+        return self.llm_analyzer.get_config()
+
+    def trigger_llm_analysis(self) -> Dict:
+        """手动触发大模型分析"""
+        return self.llm_analyzer.trigger_analysis()
+
+    def configure_llm(self, api_key: str = None, api_base: str = None, model: str = None) -> Dict:
+        """配置大模型参数"""
+        return self.llm_analyzer.configure(api_key, api_base, model)
+
+    # ==================== 状态查询 ====================
+
+    def get_status(self) -> Dict:
+        """获取服务状态"""
+        return {
+            "ws_clients": self.get_ws_client_count(),
+            "statistics": self.statistics_service.get_status(),
+            "positions": self.position_service.get_status(),
+            "trade_history": self.trade_history_service.get_status(),
+            "pending_orders": self.pending_order_service.get_status(),
+            "trading_instructions": self.trading_instruction_service.get_status(),
+            "strategy_service": self.strategy_service.get_status(),
+        }
\ No newline at end of file
diff --git a/trading_server.py b/trading_server.py
deleted file mode 100644
index d2a48bb..0000000
--- a/trading_server.py
+++ /dev/null
@@ -1,498 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-高性能行情分析交易服务
-支持：
-1. EA推送交易指令和接收统计数据
-2. 交易员下发交易指令
-3. 交易员查看统计数据
-"""
-
-from fastapi import FastAPI, HTTPException
-from fastapi.responses import JSONResponse
-from pydantic import BaseModel
-from typing import List, Dict, Optional
-from collections import deque, defaultdict
-from datetime import datetime
-import json
-import threading
-import uvicorn
-
-# ==================== 数据模型定义 ====================
-
-class TradeInstruction(BaseModel):
-    """交易指令模型"""
-    symbol: str  # 交易品种，如 "gold"
-    action: str  # b=买入, s=卖出
-    mount: float  # 手数
-    price: float  # 指令执行价格（买入时为买入价，卖出时为卖出价）
-    sl: Optional[float] = 0.0  # 止损点, 可以缺省
-    tp: Optional[float] = 0.0  # 止盈点, 可以缺省，若未指定将在服务端设置为0.005
-
-
-class StatisticData(BaseModel):
-    """统计数据模型"""
-    timestamp: str  # 时间戳
-    tickCount: int  # TICK计数
-    bidPrice: float  # 买价
-    askPrice: float  # 卖价
-    balance: float  # 账户余额
-    equity: float  # 账户权益
-    marginLevel: float  # 预付款比例
-    positions: list  # 持仓信息
-    trades: list  # 交易记录
-
-
-# ==================== 全局数据存储 ====================
-
-class TradingServer:
-    """交易服务主类"""
-    
-    def __init__(self):
-        # 交易指令队列 - 按SYMBOL分类
-        # 结构: {"SYMBOL1": [TradeInstruction1, ...], "SYMBOL2": [...]}
-        self.trade_instructions = defaultdict(list)
-        
-        # 统计数据历史 - 保留最新10条
-        # 结构: deque([{stat_data1}, {stat_data2}, ...], maxlen=10)
-        self.statistics_history = deque(maxlen=10)
-        
-        # 线程锁 - 确保线程安全
-        self.lock = threading.RLock()
-        
-        print("[信息] 交易服务已初始化")
-
-    def add_trade_instruction(self, instructions: List[TradeInstruction]) -> int:
-        """
-        添加交易指令
-        返回添加的指令数量
-        在此处对缺失的 sl/tp 值进行补全：
-          - sl 若未设置保持0.0
-          - tp 若未设置则默认 0.005
-        """
-        with self.lock:
-            count = 0
-            for instruction in instructions:
-                # 填充默认值
-                if instruction.sl is None:
-                    instruction.sl = 0.0
-                if instruction.tp is None or instruction.tp <= 0.0:
-                    instruction.tp = 0.005
-
-                symbol = instruction.symbol.upper()
-                self.trade_instructions[symbol].append(instruction)
-                count += 1
-            
-            print(f"[信息] 已添加 {count} 条交易指令")
-            for symbol, trades in self.trade_instructions.items():
-                print(f"       {symbol}: {len(trades)} 条待执行")
-            
-            return count
-
-    def get_trades_by_symbol(self, symbol: str, price: Optional[float] = None) -> List[Dict]:
-        """
-        获取指定SYMBOL的交易指令并删除
-        根据价格条件过滤指令：
-          - 买入指令（action='b'）：如果指令价格 > 当前价格，缓存（等待价格下跌到指令价格）
-          - 卖出指令（action='s'）：如果指令价格 < 当前价格，缓存（等待价格上涨到指令价格）
-        返回指令列表（JSON格式）
-        """
-        with self.lock:
-            symbol = symbol.upper()
-            if symbol not in self.trade_instructions or len(self.trade_instructions[symbol]) == 0:
-                return []
-            
-            # 获取所有指令
-            trades = self.trade_instructions[symbol]
-            result = []
-            cached_trades = []
-            
-            for t in trades:
-                should_send = True
-                
-                # 如果提供了价格，进行条件检查
-                if price is not None:
-                    if t.action.lower() == 'b':
-                        # 买入指令：如果指令价格 > 当前价格，则缓存
-                        if t.price > price:
-                            should_send = False
-                            cached_trades.append(t)
-                    elif t.action.lower() == 's':
-                        # 卖出指令：如果指令价格 < 当前价格，则缓存
-                        if t.price < price:
-                            should_send = False
-                            cached_trades.append(t)
-                
-                if should_send:
-                    result.append({
-                        "symbol": t.symbol.lower(),
-                        "action": t.action.lower(),
-                        "mount": t.mount,
-                        "price": t.price,
-                        "sl": t.sl,
-                        "tp": t.tp
-                    })
-            
-            # 更新指令队列：移除已发送的，保留已缓存的
-            self.trade_instructions[symbol] = cached_trades
-            
-            if len(result) > 0:
-                print(f"[信息] 推送了 {len(result)} 条 {symbol} 指令给EA (当前价格: {price})")
-            if len(cached_trades) > 0:
-                print(f"[信息] 缓存了 {len(cached_trades)} 条 {symbol} 指令，等待价格条件满足")
-            
-            return result
-
-    def save_statistics(self, stat_data: dict) -> None:
-        """
-        保存统计数据
-        自动保留最新10条
-        """
-        with self.lock:
-            self.statistics_history.append(stat_data)
-            print(f"[信息] 统计数据已记录 - {stat_data.get('timestamp', 'unknown')}")
-            print(f"       当前保存数据条数: {len(self.statistics_history)}")
-
-    def get_latest_statistics(self, count: int = 10) -> List[Dict]:
-        """
-        获取最新的统计数据
-        """
-        with self.lock:
-            return list(self.statistics_history)[-count:]
-
-    def get_all_pending_trades(self) -> Dict[str, List[Dict]]:
-        """
-        获取所有待执行的交易指令（不删除）
-        用于查询接口
-        """
-        with self.lock:
-            result = {}
-            for symbol, trades in self.trade_instructions.items():
-                result[symbol] = [
-                    {
-                        "symbol": t.symbol.lower(),
-                        "action": t.action.lower(),
-                        "mount": t.mount,
-                        "sl": t.sl,
-                        "tp": t.tp
-                    }
-                    for t in trades
-                ]
-            return result
-
-    def clear_trades(self, symbol: Optional[str] = None) -> int:
-        """
-        清空交易指令
-        如果指定symbol则只清空该symbol
-        返回清空的指令数量
-        """
-        with self.lock:
-            if symbol is None:
-                total = sum(len(trades) for trades in self.trade_instructions.values())
-                self.trade_instructions.clear()
-                print(f"[信息] 已清空所有交易指令，共 {total} 条")
-                return total
-            else:
-                symbol = symbol.upper()
-                count = len(self.trade_instructions.get(symbol, []))
-                if symbol in self.trade_instructions:
-                    del self.trade_instructions[symbol]
-                print(f"[信息] 已清空 {symbol} 的交易指令，共 {count} 条")
-                return count
-
-
-# ==================== 创建应用 ====================
-
-app = FastAPI(title="行情分析交易服务", version="1.0")
-server = TradingServer()
-
-
-# ==================== EA相关接口 ====================
-
-@app.get("/get_trades")
-async def get_trades(symbol: str = "gold", price: Optional[float] = None):
-    """
-    EA调用：获取待执行的交易指令
-    参数：
-      - symbol: 交易品种 (e.g., "gold")
-      - price: 当前价格，用于价格条件过滤 (可选)
-    
-    返回：JSON列表，包含满足价格条件的待执行指令
-    
-    价格过滤逻辑：
-      - 买入指令(action='b')：若目标价格(tp) > 当前价格，则缓存不发送
-      - 卖出指令(action='s')：若目标价格(tp) < 当前价格，则缓存不发送
-    """
-    try:
-        trades = server.get_trades_by_symbol(symbol, price)
-        return JSONResponse(content=trades)
-    except Exception as e:
-        print(f"[错误] get_trades 异常: {str(e)}")
-        return JSONResponse(status_code=500, content={"error": str(e)})
-
-
-@app.post("/send_statistics")
-async def send_statistics(data: dict):
-    """
-    EA调用：发送统计数据
-    参数：data - 统计数据JSON
-    返回：确认信息
-    """
-    try:
-        server.save_statistics(data)
-        return JSONResponse(
-            status_code=200,
-            content={"status": "success", "message": "统计数据已记录"}
-        )
-    except Exception as e:
-        print(f"[错误] send_statistics 异常: {str(e)}")
-        return JSONResponse(status_code=500, content={"error": str(e)})
-
-
-# ==================== 交易员相关接口 ====================
-
-@app.post("/send_trade_instructions")
-async def send_trade_instructions(instructions: List[TradeInstruction]):
-    """
-    交易员调用：下发交易指令
-    
-    请求示例：
-    POST /send_trade_instructions
-    [
-        {
-            "symbol": "gold",
-            "action": "b",
-            "mount": 0.01,
-            "sl": 5000,
-            "tp": 5100
-        },
-        {
-            "symbol": "eurusd",
-            "action": "s",
-            "mount": 0.02,
-            "sl": 1.0950,
-            "tp": 1.0850
-        }
-    ]
-    
-    返回：
-    {
-        "status": "success",
-        "count": 2,
-        "message": "已添加 2 条交易指令"
-    }
-    """
-    try:
-        if not instructions:
-            raise HTTPException(status_code=400, detail="指令列表不能为空")
-        
-        count = server.add_trade_instruction(instructions)
-        return JSONResponse(
-            status_code=200,
-            content={
-                "status": "success",
-                "count": count,
-                "message": f"已添加 {count} 条交易指令"
-            }
-        )
-    except Exception as e:
-        print(f"[错误] send_trade_instructions 异常: {str(e)}")
-        return JSONResponse(
-            status_code=500,
-            content={"status": "error", "message": str(e)}
-        )
-
-
-@app.get("/query_statistics")
-async def query_statistics(count: int = 10):
-    """
-    交易员调用：查询统计数据
-    
-    参数：count - 获取最新N条数据（默认10条）
-    
-    返回示例：
-    [
-        {
-            "timestamp": "2026-03-04 14:30",
-            "tickCount": 1234,
-            "bidPrice": 2035.50,
-            "askPrice": 2035.60,
-            "balance": 50000.00,
-            "equity": 51234.56,
-            "marginLevel": 98.50,
-            "positions": [...],
-            "trades": [...]
-        },
-        ...
-    ]
-    """
-    try:
-        if count <= 0 or count > 100:
-            count = 10
-        
-        stats = server.get_latest_statistics(count)
-        return JSONResponse(
-            status_code=200,
-            content={
-                "status": "success",
-                "count": len(stats),
-                "data": stats
-            }
-        )
-    except Exception as e:
-        print(f"[错误] query_statistics 异常: {str(e)}")
-        return JSONResponse(
-            status_code=500,
-            content={"status": "error", "message": str(e)}
-        )
-
-
-@app.get("/query_pending_trades")
-async def query_pending_trades():
-    """
-    交易员调用：查询所有待执行的交易指令
-    
-    返回示例：
-    {
-        "status": "success",
-        "total": 5,
-        "data": {
-            "GOLD": [
-                {
-                    "symbol": "gold",
-                    "action": "b",
-                    "mount": 0.01,
-                    "sl": 5000,
-                    "tp": 5100
-                }
-            ],
-            "EURUSD": [...]
-        }
-    }
-    """
-    try:
-        trades = server.get_all_pending_trades()
-        total = sum(len(t) for t in trades.values())
-        
-        return JSONResponse(
-            status_code=200,
-            content={
-                "status": "success",
-                "total": total,
-                "data": trades
-            }
-        )
-    except Exception as e:
-        print(f"[错误] query_pending_trades 异常: {str(e)}")
-        return JSONResponse(
-            status_code=500,
-            content={"status": "error", "message": str(e)}
-        )
-
-
-@app.delete("/clear_trades")
-async def clear_trades(symbol: Optional[str] = None):
-    """
-    交易员调用：清空交易指令
-    
-    参数：
-    - symbol (可选): 指定品种，不指定则清空所有
-    
-    返回示例：
-    {
-        "status": "success",
-        "cleared": 3,
-        "message": "已清空 3 条交易指令"
-    }
-    """
-    try:
-        count = server.clear_trades(symbol)
-        return JSONResponse(
-            status_code=200,
-            content={
-                "status": "success",
-                "cleared": count,
-                "message": f"已清空 {count} 条交易指令"
-            }
-        )
-    except Exception as e:
-        print(f"[错误] clear_trades 异常: {str(e)}")
-        return JSONResponse(
-            status_code=500,
-            content={"status": "error", "message": str(e)}
-        )
-
-
-# ==================== 系统接口 ====================
-
-@app.get("/health")
-async def health_check():
-    """健康检查接口"""
-    return JSONResponse(
-        status_code=200,
-        content={
-            "status": "healthy",
-            "service": "Trading Analysis Server",
-            "timestamp": datetime.now().isoformat()
-        }
-    )
-
-
-@app.get("/status")
-async def get_status():
-    """
-    获取服务状态
-    
-    返回示例：
-    {
-        "status": "running",
-        "pending_trades": {
-            "GOLD": 2,
-            "EURUSD": 1
-        },
-        "statistics_records": 5,
-        "timestamp": "2026-03-04T14:30:45.123456"
-    }
-    """
-    try:
-        pending = server.get_all_pending_trades()
-        pending_count = {symbol: len(trades) for symbol, trades in pending.items()}
-        
-        return JSONResponse(
-            status_code=200,
-            content={
-                "status": "running",
-                "pending_trades": pending_count,
-                "total_pending": sum(pending_count.values()),
-                "statistics_records": len(server.statistics_history),
-                "timestamp": datetime.now().isoformat()
-            }
-        )
-    except Exception as e:
-        print(f"[错误] get_status 异常: {str(e)}")
-        return JSONResponse(
-            status_code=500,
-            content={"status": "error", "message": str(e)}
-        )
-
-
-# ==================== 应用启动 ====================
-
-if __name__ == "__main__":
-    print("=" * 60)
-    print("启动行情分析交易服务")
-    print("=" * 60)
-    print(f"[INFO] 服务将运行在 http://localhost:5858")
-    print(f"[INFO] API文档: http://localhost:5858/docs")
-    print(f"[INFO] 备用文档: http://localhost:5858/redoc")
-    print("=" * 60)
-    
-    # 使用uvicorn启动服务，设置高并发参数
-    uvicorn.run(
-        app,
-        host="127.0.0.1",
-        port=5858,
-        workers=4,  # 多个worker进程
-        loop="uvloop",  # 使用高性能事件循环
-        log_level="info"
-    )