Backtest · 复盘

Universe Backtest

Every 1-XH buy signal across the scanned universe, simulated: enter the bar after the signal, manage adds / adaptive sells / −25% hard stop, record the realised return. This is the aggregate "if you took every signal" view.

As of 2026-08-13 · uniform 92-day window (2026-05-13 → 2026-08-13) · 266 closed trades across 172/244 symbols · exits 2026-05-15 → 2026-08-13.

Per-symbol archives span very different lengths (30-min data is capped at 60 days by the source; hourly reaches further back), so all statistics are restricted to the trailing window above to stay comparable — 186 older trades excluded. Prices are split-adjusted; trades beyond ±100% are quarantined as data artifacts. Since 2026-08-10 the scan universe excludes leveraged / inverse / volatility ETPs (structural decay breaks the rebound thesis; they ran a 22% win rate here) — the live track record keeps their past published trades unchanged.

📊 Aggregate clean closed trades in window

Closed trades
266
Win rate
23%
Avg / trade
-2.9%
Median / trade
-2.0%
Book NAV (cashflow proxy)
-2.3%
best / worst trade
+32.4% / -27.8%
open positions
99

⚔️ Managed tracks · same entries, three managements 197 trades closed on every track

Management Win rate Avg / trade Median Edge vs native NAV proxy
Native adds · adaptive sells · −25% stop, intraday 27% -2.7% -1.9% -23.4%
Overlay (A) -25% stop / +15% target / 20d, daily closes 49% -1.9% -0.2% +0.77pp +0.2%
V3 confirm (B+C) single leg · buy signal extends hold (≤60d) · same stop/target 53% -1.6% +1.0% +1.07pp +0.7%

All tracks start from the same entry events (same first-leg entry price). Overlay (A) exits: 35 target · 26 stop · 136 horizon. V3 confirm (B+C) exits: 42 target · 34 stop · 121 horizon. V3 = actions B+C from the management-rules audit: a later native buy signal confirms the position — it resets the 20-session clock (total hold ≤ 60) instead of adding capital. Pre-registered comparisons — whichever edge persists as the sample grows becomes the default management.

⚖️ vs S&P 500 & Nasdaq-100 same window · same trade dates

Period return Avg over trade windows Our excess / trade Trades beating it
This backtest (equal-weight, cashflow-anchored proxy) -2.3% -2.9%
S&P 500 (SPY) +5.6% +0.6% -3.5% 21% of 262
Nasdaq-100 (QQQ) +3.6% -0.2% -2.7% 31% of 262

"Avg over trade windows" holds the benchmark over exactly the same entry→exit dates as each closed trade — the fair like-for-like comparison. "Excess / trade" = our trade return minus the benchmark over its own window.

📈 Book NAV proxy vs benchmarks 2026-05-12 → 2026-08-13, all normalised to 1.00

1.06× 0.88× Native Overlay V3 SPY QQQ

Equal weight across every simulated position live that day. Entry and terminal marks are anchored to recorded strategy cashflows; intervening days use underlying closes as a proxy because per-leg add/reduce cashflows are unavailable. This is not a true daily MTM reconstruction, but unlike sequential trade compounding its terminal values reconcile to the strategy ledger.

🏆 Top performers by compounded return per symbol, in window

SymbolVariant TradesWin Total
MRNA reborn_v3 3 33% +22.9%
IBM gogo_v2 1 100% +19.8%
SCHW gogo_v2 1 100% +13.5%
INSM gogo_v2 2 100% +11.3%
FIG gogo_v2 1 100% +10.9%
MRVL reborn_v3 1 100% +10.9%
UPS gogo_v2 1 100% +10.7%
DJT gogo_v2 3 67% +7.9%
PDD gogo_v2 1 100% +7.8%
NVST gogo_v2 1 100% +7.4%
XYZ reborn_v3 1 100% +6.4%
JNJ reborn_v3 2 50% +4.1%
VRSK gogo_v2 1 100% +4.0%
MRK reborn_v3 3 67% +3.9%
DHR gogo_v2 1 100% +3.4%

📉 Worst performers

SymbolVariant TradesWin Total
HTZ gogo_v2 3 0% -59.8%
BYND gogo_v2 2 0% -37.3%
OKLO gogo_v2 1 0% -26.1%
QUBT gogo_v2 1 0% -25.9%
JOBY gogo_v2 1 0% -25.6%
USAR gogo_v2 1 0% -25.4%
LAC gogo_v2 1 0% -25.2%
SERV gogo_v2 2 50% -24.8%
CLSK reborn_v3 3 0% -24.3%
QUBT reborn_v3 3 0% -23.9%
MP gogo_v2 1 0% -22.9%
RDDT reborn_v3 2 50% -20.1%
RGTI reborn_v3 2 0% -19.6%
IBM reborn_v3 1 0% -18.4%
CRML reborn_v3 2 0% -18.1%

Equal-weight, no transaction costs or slippage. Demonstration of signal behaviour only — not investment advice. The forward-tracked version of these signals (which can't be hindsight-fit) lives on the Live Track Record page.