- Equity curve
- Drawdown
- Win rate
- Profit factor
Test the idea
before you commit
the capital.
A validation lab for retail traders who think in rules. Describe a candidate strategy, inspect where it fires, then decide whether the evidence is enough.
Describe the idea. Own the rules.
Plain English becomes buy rules, sell rules, and risk management you can edit in the condition builder — not a black-box prompt.
Buy when RSI dips below 30 after a 20-day high breakout. Trail an 8% stop. Scale in with 2% of equity per signal.
Candidate strategy — edit anything before you validate.
RSI(14) < 30
close > rolling_max(close, 20d)
RSI(14) > 70
trailing_stop(8%)
size: 2% equity
max exposure: 100%
Preview where rules fire.
Trigger markers on historical data for your instrument, timeframe, and date range — before you run a backtest.
Read the evidence. Make the call.
Performance, benchmark, robustness, and diagnostic artifacts in one result card. We don't grade pass or fail.
- Buy & hold
- Random-strategy null
- Cash baseline
- Monte Carlo
- Walk-forward
- Noise injection
- Delayed entries
- Seasonality
- Signal breakdown
- Variance decomposition
- Correlation
profitable strategies. algo edge. guaranteed returns.
We uncover candidate strategies and report historical validation evidence. That is the entire claim. If anyone is selling "the algo that prints money" — run.
- → A candidate strategy you wrote yourself
- → Six years of out-of-sample evidence
- → A clear picture of how the rules fail
- → Permission to walk away from a bad idea
Free until your second idea.
no, really — no card up front.First strategy
- → One candidate strategy
- → Full evidence (4 categories)
- → Save & revisit forever
Pro
- → Unlimited candidate strategies
- → Material edits & tuning
- → Batch testing
- → Strategy import / export
Discovery
- → Search rule spaces
- → Surfaced shortlists
- → Coming next quarter
Questions before signup
Which markets are supported?
Stocks, ETFs, forex, crypto, futures, and commodities, across US, UK, AU, CA and EU retail-accessible venues. Options aren't yet — we'd rather do them well later than badly now.
Is this a backtesting tool?
It contains a backtest engine, but it's not the product. The product is the candidate strategy itself — testable in the engine, editable in the rule builder, persistable as a versioned document.
What's a candidate strategy?
Buy rules, sell rules, and risk management. Saved as a versioned document so it survives schema changes and rolls into the language as it evolves.
What happens before signup?
You describe an idea, we generate rules, you preview where they fire on a chart. No backtest runs until signup, with state preserved.
Why not just predict returns?
Because nobody can reliably, and pretending otherwise is the entire problem with this category. We do evidence, not predictions.
Is my market activity private?
Yes. We don't share, sell, or surface what you backtest. Strategy documents are yours.
You came with an idea.
Spend six minutes testing it.
Free first strategy. State carries across signup.