Stock Compass

Stock Compass is built around a single idea: prove your trading rules on past prices before you apply them to real money. Instead of offering stock tips or broker connections, it gives you a workspace to express your own buy, add, trim and exit logic as a strategy, then tests that logic against actual daily price history.

The backtest engine pays particular attention to events that break naive assumptions. Earnings days and opening gaps are included, and stop-loss rules are evaluated on the closing price, so a gap through your stop is reproduced as it would have happened rather than smoothed away. Trade logs mark earnings dates so you can see exactly why a result diverged from the plan.

After backtesting, the same strategy can scan your watchlist across Hong Kong, US and China A-share markets every trading day, producing buy, add, trim and exit signals. An AI-assisted setup path lets Claude, ChatGPT or another assistant walk you through installation and signup, and then answer questions about your signals or record trades on your behalf.

It suits self-directed investors and swing traders who already follow written rules and want to stress-test them, especially those trading across multiple markets. Beginners looking for recommendations will not find them here. Start with the free plan, encode one rule set you actually use, and compare backtest results with your real trading record before relying on the daily signals.