feat: 温区级综合/普适计算——温区内信号月份分散度+温区总月份占比,温区行综合用温区portfolio算,universality显示温区级月份/温区总月份;说明列fallback

server.py

@@ -574,7 +574,65 @@ def api_research_strategies():
             _c.close()
         except Exception:
             pass
-        # 2026-08-15 证伪标记（数据驱动）：strategy_research.deprecated
+        # 温区级普适前先建立日期→温区映射（A股 market_regime）
+        _regime_map = {}
+        try:
+            import sqlite3 as _sq5
+            _c5 = _sq5.connect(str(DATA_DIR / "mofin.db"), timeout=10)
+            for _r in _c5.execute("SELECT date, regime FROM market_regime WHERE market='a'"):
+                _regime_map[_r[0]] = _r[1]
+            _c5.close()
+        except Exception:
+            pass
+        # 2026-08-15 温区级普适：策略在适应温区内发出信号的月份分散度 + 温区总月份占比
+        # 温区总月份数（A股: choppy35.4%/trend_down30.3%/trend_up34.3%；按市场 regime 时长统计）
+        try:
+            import sqlite3 as _sq3
+            _c3 = _sq3.connect(str(DATA_DIR / "mofin.db"), timeout=10)
+            _total_months = _c3.execute(
+                "SELECT COUNT(DISTINCT substr(date,1,7)) FROM market_regime WHERE market='a'").fetchone()[0]
+            _regime_months = {r[0]: r[1] for r in _c3.execute(
+                "SELECT regime, COUNT(DISTINCT substr(date,1,7)) FROM market_regime WHERE market='a' GROUP BY regime").fetchall()}
+            _c3.close()
+        except Exception:
+            _total_months = 0
+            _regime_months = {}
+        _regime_universality = {}  # (version, regime) -> {'months': N, 'score': 分散度}
+        try:
+            import sqlite3 as _sq4, json as _json4, collections as _coll
+            _c4 = _sq4.connect(str(DATA_DIR / "mofin.db"), timeout=10)
+            for _r in _c4.execute(
+                "SELECT version, results_json FROM strategy_research WHERE results_json IS NOT NULL"):
+                try:
+                    _res = _json4.loads(_r[1])
+                    _trades = _res.get("trades", [])
+                    if not _trades:
+                        continue
+                    # 按温区过滤该策略 trades（regime_winrates 已有温区归类）
+                    for _rg in ("trend_up", "choppy", "trend_down"):
+                        _rg_months = _coll.Counter()
+                        for _t in _trades:
+                            _ed = _t.get("entry_date", "")
+                            if _ed and _regime_map.get(_ed) == _rg:
+                                _rg_months[_ed[:7]] += 1
+                        if _rg_months:
+                            _n = len(_rg_months)
+                            _tot = sum(_rg_months.values())
+                            _score = 0.0
+                            if _n > 1:
+                                for _c in _rg_months.values():
+                                    _p = _c / _tot
+                                    _score -= _p * (0.0 if _p == 0 else __import__('math').log(_p))
+                                _score = _score / __import__('math').log(_n) * 100
+                            _regime_universality.setdefault(_r[0], {})[_rg] = {
+                                "months": _n, "score": round(_score, 0),
+                                "regime_total_months": _regime_months.get(_rg, 0),
+                            }
+                except Exception:
+                    continue
+            _c4.close()
+        except Exception:
+            _regime_universality = {}
         _deprecated = {}
         try:
             import sqlite3 as _sq2