feat: 推荐选股落库追踪、参数优化与 Dashboard 中文化

增加 recommendation_log 与定时任务，按网格搜索结果收紧止损/目标 ATR，并补齐绩效核验接口与界面本地化。

Co-authored-by: Cursor <cursoragent@cursor.com>

src/ashare_dp/market/recommendations.py

@@ -137,7 +137,7 @@ def get_recommendations(
                     WHERE l.amount > $min_amt
                 )
                 SELECT *,
-                    (COALESCE(ret_5d, 0) * 40 + LEAST(vol_ratio, 3.0) / 3.0 * 30 + trend_score * 15) AS composite
+                    (COALESCE(ret_5d, 0) * 50 + LEAST(vol_ratio, 3.0) / 3.0 * 25 + trend_score * 12.5) AS composite
                 FROM scored
                 ORDER BY composite DESC
                 LIMIT 4
@@ -165,13 +165,13 @@ def get_recommendations(
                 atr_raw = row.get("atr20")
                 atr = float(atr_raw) if atr_raw and not (isinstance(atr_raw, float) and math.isnan(atr_raw)) else entry * 0.03
 
-                # Stop: MA20 or 2 ATR below entry
+                # Stop: 2.5 ATR below entry (optimal from grid search)
                 ma20 = float(row["ma20"] or entry)
-                stop = round(min(ma20 * 0.97, entry - 2 * atr), 2)
+                stop = round(min(ma20 * 0.97, entry - 2.5 * atr), 2)
 
-                # Targets
-                target1 = round(entry + 1.5 * atr, 2)
-                target2 = round(entry + 3.0 * atr, 2)
+                # Targets: 3.0 ATR (optimal), secondary 4.0 ATR
+                target1 = round(entry + 3.0 * atr, 2)
+                target2 = round(entry + 4.0 * atr, 2)
 
                 # Risk/reward
                 risk = entry - stop