Win / loss spread.
A histogram of every trade’s profit and loss — losses in oxblood, gains in sage — appears here, along with a plain-English summary of your buy & exit signals.
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Describe a trading idea in plain English — your buy and sell conditions — and the engine translates it into code and backtests it across 10+ years of BTC spot history. Every strategy needs a buy signal and a sell signal. See the examples to get started. Results are purely hypothetical.
Pick an example or write your own, set your starting capital, and run the backtest against the full BTC price record below.
Generative A.I. turns your written buy/sell conditions into a runnable backtest. Not all strategies or symbols are supported yet.
The example strategies below run free — just pick one. To describe your own strategy in plain English and have the engine build & backtest it, upgrade to Plus+.
Win/loss distribution, the equity curve over time, and the headline statistics — all driven by the simulated trade log.
A histogram of every trade’s profit and loss — losses in oxblood, gains in sage — appears here, along with a plain-English summary of your buy & exit signals.
A time series of your simulated account balance — watch how the starting capital would have grown or drawn down across BTC’s price history.
| Total Trades | |
|---|---|
| Wins | |
| Losses | |
| Win Rate (%) | |
| Average PnL | |
| Std. Dev. PnL | |
| Sharpe Ratio |
These headline numbers populate once your backtest completes.
Run a backtest and this panel translates the headline numbers into plain English — how the strategy’s simulated balance grew or shrank, the deepest drawdown it sat through, and whether its winners outweighed its losers.
Every simulated entry and exit — with timestamps, prices, position size, and the profit or loss on each round trip — will be listed here, sortable and searchable.
The performance metrics presented on this page are based solely on hypothetical backtesting simulations and do not reflect real-world trading conditions. They do not account for important factors such as transaction costs, slippage, liquidity, or market volatility. As such, these results are for illustrative purposes only and should not be construed as a guarantee of future performance.
This tool uses generative AI to automatically transform user-defined trading strategies into code that integrates with our framework. While effort is made to ensure functionality and accuracy, there is always a possibility that the code may not work as intended or could fail altogether. Users are advised not to rely on these simulated outcomes for making financial decisions.
Always conduct your own due diligence and consult with a qualified financial advisor before taking any action. Use this tool at your own risk.