Refactor: restructure market module with services, stores, and utils

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
+        }