Launching today
BacktestLoop
Turn trading ideas into real Python backtests
13 followers
Turn trading ideas into real Python backtests
13 followers
BacktestLoop turns plain-English trading ideas into editablePython backtests.
Generate strategy code, run it on historical stock, futures, forex, or crypto data, then inspect trades, equity curves, logs, drawdowns, and risk metrics. It is built for traders and quant builders who want a faster research loop without setting up their own data and backtesting pipeline.
How does the generated Python code actually hold up if I want to swap in my own custom dataset or tweak the strategy logic after the fact, is it cleanly structured or more of a black box?
@eminenv9f It's plain vanilla Python code for the Backtrader engine (which is open source), a normal bt.Strategy subclass, nothing proprietary you'd have to learn. You can inspect a real example here without signing up: https://app.backtestloop.com/strategy/oWK42LP1MOTepzwftbsKVA (click the Code tab, that's the actual file that ran).
Editing after the fact works both ways: change the Python yourself in the editor and re-run, or tell the agent what to change and it edits the file. For data, backtests currently run on our built-in market data (stocks, futures, crypto, forex, 1-second to weekly bars) - uploading your own dataset isn't supported yet but it's on our list.
In the meantime, since it's standard Backtrader, you can also copy the code out and run it on your own data locally.
Would love to see a way to compare two strategy runs side by side in the same view. Right now I can run a backtest, tweak the prompt, and run again, but flipping between tabs to compare equity curves and drawdowns makes it hard to judge if a change actually helped. An overlay or a split comparison would make iteration much faster.