Institutional grade backtesting, without the institution.
One equity curve is a single lucky sequence. We resample it thousands of times, walk it forward across unseen data, and show you the distribution — so you find out how it fails here, not on a funded account or your own capital.
- MCPT · Params · Noise gates
- Out-of-sample walk-forward checks
- Permutation equity paths vs baseline
Gray = permutations · purple = EMA 9/21 baseline
MCPT
Pass
Params
Pass
OOS PF
1.84
Workflow
How Backtesting fits the loop
- 01
Chart backtest first
Run a solid chart period with enough trades and realistic sizing before pre-screening.
- 02
Run the Gauntlet
Confirm parameters and run MCPT, sensitivity, and noise gates. Cached matching inputs load instantly.
- 03
Walk-forward if validated
When gates clear, continue to OOS walk-forward. If a gate fails, revise and re-test — don’t skip ahead.
Strategy Builder
Code it or Describe it. Your Strategy, Your method.
Write it yourself or let AI write it for you — every strategy runs on the same battle-tested engine.
Strategy Results
Every Trade. Every Metric. Every Timeframe
Charts, equity curves, and full performance metrics — then tune your parameters and run it again.
Gauntlet
Thousands of Simulations. One Verdict.
One good backtest is a coincidence. The Gauntlet tells you if it's an edge.
Walk-Forward
The Final Test: Does It Hold on Data It's Never Seen?
Rolling in-sample optimization, out-of-sample validation — the closest thing to live trading without the risk.
Compare
Side by Side. May the Best Strategy Win.
KPIs, equity curves, Gauntlet results, and walk-forward validation — lined up side by side for every strategy you've built.
Coming soon
Brokerage
Take Validated Strategies Live, Wherever You Trade.
Trading a funded account or your own? Connect it once and run your tested strategies from the same dashboard.
FAQ
Questions about Backtesting
Explore more
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