Labs: Prompt-to-Strategy
From a plain-language idea to a backtested strategy.
Labs wires your strategy prompt to MCP tooling, runs the backtest, and returns a report you can read in minutes.
Every strategy runs through a standardized pipeline: data ingestion, signal generation, position sizing, risk controls, and execution simulation. Results include Sharpe ratio, max drawdown, win rate, and equity curve — the same metrics professional quants use.
Strategies are ranked publicly by realized performance. No cherry-picked backtests, no survivorship bias — every run is timestamped and verifiable.
The Labs workflow supports Python strategy definitions with pandas, numpy, and TA-Lib style indicators. Write once, run against historical data, then deploy to live paper trading.
Strategies rank publicly on the Labs leaderboard by realized performance.
View the public Labs ranking →
Run your first strategy
Free monthly credits included.