Backtest PYPL strategies — free
Build and backtest PYPL trading strategies with no code, on real historical data — then check whether the edge actually holds out-of-sample. Open the Lab to start.
A PYPL strategy you can build in minutes
Snap a data source brick set to PYPL, add an entry (e.g. an RSI dip or a moving-average cross), a stop and target, and run it. TradeBricks splits the data into a development window and an unseen holdout, so a strategy that only looks good in-sample gets flagged as overfit instead of fooling you.
Build a PYPL strategy free →Members of Congress who traded PYPL
PYPL backtesting — FAQ
Free broker-grade history for PYPL: 10+ years of daily bars and roughly 6 years of 1-minute and 5-minute intraday bars — enough to backtest both swing and intraday strategies.
Yes. Build a strategy from no-code bricks and backtest PYPL for free, with a dev/holdout split that flags overfitting so the result is honest.
Our dataset has 62 disclosed PYPL transactions by members of Congress. You can fold that alt-data into a PYPL strategy.