diff --git a/server.py b/server.py
index 776eb759..ea095f8f 100644
--- a/server.py
+++ b/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
diff --git a/static/index.html b/static/index.html
index 9ced2856..c5257ac4 100644
--- a/static/index.html
+++ b/static/index.html
@@ -2442,8 +2442,9 @@ function renderStrategyTable(strategies) {
const holdShow = rw && rw.avg_hold_days != null ? rw.avg_hold_days : (isOverall ? st.avg_hold_days : null);
const sharpeShow = rw && rw.sharpe_ratio != null ? rw.sharpe_ratio : (isOverall ? st.sharpe_ratio : null);
const pfShow = rw && rw.profit_factor != null ? rw.profit_factor : (isOverall ? st.profit_factor : null);
- // 组合级列：整体行用整体组合；温区行用温区级组合（rw.portfolio）+ 温区级 composite + 整体普适近似
+ // 组合级列：整体行用整体组合；温区行用温区级组合（rw.portfolio）+ 温区级 composite + 温区级 universality
const rwPf = rw && rw.portfolio ? rw.portfolio : null;
+ const rwUniv = rw && rw.universality ? rw.universality : null;
// 温区级 composite（用温区 portfolio 的 cagr/total_return + 温区胜率/夏普/盈亏比/回撤，对齐整体综合分逻辑）
let rgComposite = null;
if (rwPf) {
@@ -2455,7 +2456,8 @@ function renderStrategyTable(strategies) {
rgComposite = Math.round((rgRet + rgWr + rgSh + rgPfc + rgDd) * (s._confidence || 1));
}
const compositeShow = isOverall ? s._composite : rgComposite;
- const universalityShow = isOverall ? (st.universality || {}).score : (st.universality || {}).score;
+ // 温区级 universality（温区内信号月份分散度 + 温区总月份占比）
+ const universalityShow = isOverall ? (st.universality || {}).score : (rwUniv ? rwUniv.score : null);
const retShow = isOverall ? (st.portfolio_full||{}).total_return_pct : (rwPf ? rwPf.total_return_pct : null);
const capShow = isOverall ? (st.portfolio_full||pf).capital_final : (rwPf ? rwPf.capital_final : null);
const cagrShow = isOverall ? (st.portfolio_full||pf).cagr_pct : (rwPf ? rwPf.cagr_pct : null);
@@ -2474,7 +2476,7 @@ function renderStrategyTable(strategies) {
'| ' + (st.sizing_slots ? st.sizing_slots + '仓' : '10仓') + (st.conviction_model ? '' : '') + ' | ' +
'' + ((s.description && s.description.title) ? '' : '—') + ' | ' +
cell('composite', compositeShow, v => v + (s._confidence != null && s._confidence < 1 ? '×' + s._confidence.toFixed(2) + '' : ''), 'font-bold text-amber-300') +
- cell('universality_score', universalityShow, v => v + '/' + (st.universality || {}).months + '月') +
+ cell('universality_score', universalityShow, v => v + '/' + (isOverall ? (st.universality || {}).months : (rwUniv ? rwUniv.months + '/' + (rwUniv.regime_total_months || '?') : '?')) + '月') +
cell('full_return_pct', retShow, v => v + '%', 'font-bold text-amber-300') +
cell('capital_final', capShow, v => '¥' + (v/10000).toFixed(0) + '万') +
cell('cagr_pct', cagrShow, v => v + '%', hl(cagrShow, best.cagr_pct)) +