重构项目架构，新增 MT5 代理服务

- 重构核心模块：DataProvider 依赖注入、RiskController 门面、信号注册表
- 新增 FastAPI 代理服务 (run/server.py)，支持局域网远程调用 MT5
- 新增 RemoteDataProvider + AttrDict，远端无缝替代 LiveDataProvider
- 新增序列化模块，MT5 对象转 JSON 兼容格式
- 重构入口点至 run/ 包，支持 python -m run.realtime/server/backtest/optimize
- 更新 CLAUDE.md 文档

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Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>

execution/weights.py

@@ -0,0 +1,78 @@
+"""动态权重管理器（重写版）
+
+关键改进：
+  1. 使用 StrategyRegistry（单例）获取策略列表，消除 blueprint 重复
+  2. 回测/优化器模式支持逐 bar 获取权重（get_weights_for_bar）
+  3. 优化器模式接受 individual_weights 参数并传递给 MarketStateAnalyzer
+"""
+
+import strategies  # noqa: F401 — 触发策略注册
+from logger import logger
+from core.risk.market_state import MarketStateAnalyzer
+from core.signal.registry import StrategyRegistry
+from config import SYMBOL, TIMEFRAME
+
+
+class DynamicWeightManager:
+    """动态权重管理器"""
+
+    def __init__(self, data_provider,
+                 market_state_analyzer: MarketStateAnalyzer = None):
+        self.data_provider = data_provider
+        self.analyzer = market_state_analyzer or MarketStateAnalyzer(data_provider)
+        self.registry = StrategyRegistry()
+
+        # 初始化策略实例（仅实盘模式首次使用）
+        self._strategies_initialized = False
+
+    def _ensure_strategies(self):
+        if not self._strategies_initialized:
+            self.registry.instantiate_all(SYMBOL, TIMEFRAME,
+                                          data_provider=self.data_provider)
+            self._strategies_initialized = True
+
+    # ── 实盘模式 ──
+
+    def get_current_strategies_and_weights(self) -> list:
+        """获取当前（实时）策略实例和权重列表"""
+        self._ensure_strategies()
+        weights = self.get_current_weights()
+
+        result = []
+        for config_key, weight in weights.items():
+            instance = self.registry.get_instance(config_key)
+            if instance is not None:
+                result.append((instance, weight))
+        return result
+
+    def get_current_weights(self) -> dict:
+        """获取当前实时权重"""
+        market_state, confidence = self.analyzer.get_market_state()
+        return self.analyzer.get_strategy_weights(market_state, confidence)
+
+    # ── 回测/优化器模式 ──
+
+    def get_weights_for_bar(self, bar_index: int,
+                           individual_weights: dict = None) -> dict:
+        """获取第 bar_index 个 bar 的策略权重
+
+        Args:
+            bar_index: 当前M1 bar索引
+            individual_weights: 优化器传入 {config_key: weight}，非None时直接使用
+
+        Returns:
+            {config_key: weight}
+        """
+        market_state, confidence = self.analyzer.get_market_state(bar_index)
+        return self.analyzer.get_strategy_weights(
+            market_state, confidence, individual_weights
+        )
+
+    def get_weight_info(self) -> dict:
+        market_state, confidence = self.analyzer.get_market_state()
+        market_weights = self.analyzer.get_strategy_weights(market_state, confidence)
+        return {
+            'market_state': market_state,
+            'confidence': confidence,
+            'weights': market_weights
+        }