The AI strategy lab for momentum & swing traders
Test the setup you saw online — before you risk a dollar.
Describe any strategy in plain English. Our AI writes the exact rules, backtests 20 years in seconds, and tells you where it breaks. Then prove the survivors on a public, independently verifiable track record.
Free to start · no card · results in seconds
Golden Cross
2016-01-04 → 2026-07-30 · daily · real data, live crosshair
Total return
+709%
CAGR
21.87%
Max drawdown
31.0%
Trades
20
Templates · The starting point
Famous strategies, actually tested
Real numbers from real historical data — computed before you clicked, never cherry-picked after.
The Lab
Build anything
Describe a strategy in plain English — any symbols, famous templates, or from scratch. The AI writes the rules, runs two decades of data in seconds, and teaches as it edits.
Buy the Dip (tested)
Mean Reversion- universe
- SPY · QQQ
- indicator
- sma_200 = SMA(close, 200)
- entry
- (close < lag(close, 5) * 0.97) & (close > sma_200)
CAGR
2.3%
2016–2026 · 1d · ran in 2.2s
The Proof
Freeze it, forward-test it
One click deploys your strategy to the ledger. The spec freezes — hash-verified — and every trading day it's evaluated on fresh data. Timestamped. Append-only. Unfakeable.
The Board · Live now
Receipts, in public
The leaderboard ranks live forward performance, not backtested hindsight. Losers stay on the board. That's the point — a track record no one can rewrite.
The Strategist · An AI that tests, not guesses
Every opinion this AI has is a backtest
Other platforms sell an “AI that understands markets.” Ours is wired directly into a research engine — when it has an opinion, it runs the simulation and shows you the result, so every claim comes with a test you can inspect.
Speaks fluent strategy
Plain English in, exact executable rules out — entries, exits, stops, sizing. Nothing hidden behind an arrow: you can read, edit, and export every rule it writes.
Validated against decades
Every edit re-runs the full simulation — up to 5,000 US symbols, twenty years of history, intraday down to one-minute candles. The AI's suggestions are measured, not imagined.
Warns you first
It flags look-ahead bias, overtight stops, oversized positions, and too-few-trades significance before you spend on a doomed run. An AI that says your idea is flawed is worth more than one that says it's brilliant.
14
house strategies, drafted with the AI
16
live on the public ledger, accruing out-of-sample records
3
negative right now — and staying on the board
The strategy library was built the same way — every house strategy was drafted with the AI, refined through the engine run after run, and is now forward-testing on the public ledger. Browse the library →
Transparency · Losers stay published
Strategies that failed the test (we leave them up on purpose)
These strategies went through the same engine as the winners above — and lost money in simulation. Most sites would quietly delete them; we publish them, because a test you can trust has to be allowed to fail. Each card shows the real simulated result over the window it was tested on — published as-is, never quietly deleted.
Honesty · Printed on every result
What a backtest can't tell you
01
Past ≠ future
A strategy that worked for ten years can stop working tomorrow. Every result here is a historical simulation, never a forecast.
02
Survivorship bias is real
Full-universe tests use currently listed stocks — companies that went to zero aren't in the data, which flatters results. We label it when it applies.
03
Costs are assumptions
Every simulated fill includes a slippage assumption, shown with the run. Real trading costs vary — results are approximations, not receipts.
Questions, answered straight
How is this different from indicator platforms?
Where does the data come from?
Will this make me money?
What makes the forward ledger trustworthy?
Can it predict what a stock will do?
Is your AI “trained on market data”?
Curious what “buy the dip” actually returned?
Find out in about four seconds.