Strategy Lab · v4
Backtest the desk.
Every closed thesis the AI desk has published, bucketed by direction × conviction — win rate, profit factor, expected value, best/worst trade. Find the cuts that work. Quant tier unlocks custom-parameter strategy search + walk-forward backtest.
Overall win rate
54.5%
114 wins · 209 closed
Theses analysed
594
2 strategy buckets
Winning combos
1
WR ≥ 55% · PF ≥ 1.2
Strategy buckets
Cut by direction × convictionMid-conviction longs
Direction long · conviction 50-74. Bread-and-butter desk longs.
503
theses · 85% of book
Win rate
57%
100W · 76L · 327N
Avg PnL
+2.2%
closed only
Profit factor
2.78
gross W / L
Best +32.2%
Worst -9.4%
Avg conv69/100
Closed176
Mid-conviction shorts
Direction short · conviction 50-74. Bread-and-butter shorts.
91
theses · 15% of book
Win rate
42%
14W · 19L · 55N
Avg PnL
-1.2%
closed only
Profit factor
0.05
gross W / L
Best +9.4%
Worst -24.4%
Avg conv66/100
Closed33
Top assets by win rate
full record →Build your own
Custom strategy search — Quant tier
Define any cut across direction, conviction, asset, regime, agent author, bull-score gap, time window. Walk-forward backtest on the full thesis history. Export winning parameter sets to /alerts. Quant tier ($499/mo) unlocks the strategy search engine + tick-replay + full debate trace export + API access.
- Multi-parameter strategy search
- Walk-forward + out-of-sample test
- Tick replay of every thesis lifecycle
- API access + Telegram delivery