We built something that might be useful for this community.
QuantPlace has a free no-code backtester with one feature that is different from most tools: the Alt Data Signal strategy. Instead of price-based indicators, you plug in any dataset column as your entry signal. Custom sentiment scores, social volume, model outputs, fear and greed index, anything with a timestamp. The OHLC dataset handles prices and P&L separately.
You can stack up to 3 signal rules with AND logic, using operators like z-score threshold and N-bar percent change, which makes it usable for basic ML signal validation without writing a single line of code.
The statistical side is solid too:
- Monte Carlo shuffle (500 permutations) to check if your Sharpe is edge or luck
- In-sample / out-of-sample 70/30 split with side-by-side metric comparison
- Parameter sweep with a 2D Sharpe heatmap across up to 200 combinations
- Commission, slippage, stop loss, take profit all configurable
Data comes from the marketplace. Several free datasets available including daily OHLC, perpetual futures, social volume, and Fear and Greed Index. You can also upload your own signal data as a vendor.
It is not a replacement for a proper backtesting framework but it is useful for a quick sanity check on a signal before investing time building a full pipeline.
Free to use at quantplace.org/tools/backtest
