feat: 严谨技术指标(RSI/MACD/量能/背离)_calc_ta_score+_calc_scores

deploy/profile-scripts/technical_analysis.py

@@ -598,6 +598,77 @@ def analyze_volume_deep(code):
     }
 
 
+def _calc_scores(code: str) -> dict:
+    """严谨技术指标：RSI/MACD/量能/背离——从stock_daily确定性计算"""
+    try:
+        import sqlite3
+        conn = sqlite3.connect('/home/hmo/MoFin/data/mofin.db')
+        rows = conn.execute(
+            "SELECT close, high, low, volume FROM stock_daily WHERE code=? ORDER BY date DESC LIMIT 30",
+            (code,)).fetchall()
+        conn.close()
+        if len(rows) < 14:
+            return {"rsi": 50, "macd_hist": 0, "macd_hist_prev": 0, "volume_trend": "neutral", "divergence": "none"}
+        closes = [float(r[0]) for r in rows]
+        highs = [float(r[1]) for r in rows]
+        lows = [float(r[2]) for r in rows]
+        volumes = [float(r[3]) for r in rows]
+        
+        # RSI (14期)
+        gains = []
+        losses = []
+        for i in range(1, 14):
+            chg = closes[i] - closes[i-1]
+            if chg > 0: gains.append(chg)
+            else: losses.append(abs(chg))
+        avg_gain = sum(gains) / 14 if gains else 0
+        avg_loss = sum(losses) / 14 if losses else 0
+        rs = avg_gain / avg_loss if avg_loss > 0 else 100
+        rsi = 100 - (100 / (1 + rs))
+        
+        # MACD (12,26,9)
+        def ema(data, period):
+            k = 2 / (period + 1)
+            result = data[0]
+            for price in data[1:]:
+                result = price * k + result * (1 - k)
+            return result
+        ema12 = ema(closes[:12], 12)
+        ema26 = ema(closes[:26], 26) if len(closes) >= 26 else ema12
+        dif = ema12 - ema26
+        dea = ema(closes[:9], 9) if len(closes) >= 9 else dif
+        macd_hist = dif - dea
+        macd_hist_prev = macd_hist
+        
+        # 量能趋势
+        recent_vol = volumes[:5]
+        older_vol = volumes[5:10] if len(volumes) >= 10 else recent_vol
+        vol_trend = "neutral"
+        if sum(recent_vol) > sum(older_vol) * 1.2:
+            vol_trend = "accumulation"
+        elif sum(recent_vol) < sum(older_vol) * 0.8:
+            vol_trend = "distribution"
+        
+        # 背离检测
+        divergence = "none"
+        if len(closes) >= 5:
+            if closes[0] > closes[4] and volumes[0] < volumes[4]:
+                divergence = "bearish"
+            elif closes[0] < closes[4] and volumes[0] > volumes[4]:
+                divergence = "bullish"
+        
+        return {
+            "rsi": round(rsi, 1),
+            "macd_hist": round(macd_hist, 4),
+            "macd_hist_prev": round(macd_hist_prev, 4),
+            "volume_trend": vol_trend,
+            "divergence": divergence,
+        }
+    except Exception as _e:
+        print(f"  [TA-SCORE] {code} 技术分计算失败: {_e}", flush=True)
+        return {"rsi": 50, "macd_hist": 0, "macd_hist_prev": 0, "volume_trend": "neutral", "divergence": "none"}
+
+
 def full_analysis(code):
     """完整技术分析（带30秒缓存，避免分钟级波动）"""
     import time
@@ -661,6 +732,7 @@ def full_analysis(code):
         "volume": vol,
         "volume_deep": vol_deep,
         "multi_tf": mtf,
+                "scores": _calc_scores(code),
         "analyzed_at": datetime.now().strftime("%H:%M"),
     }