Backtest Results
Transparent, reproducible backtest data across 10 major assets. 2,600+ trades analyzed over 26 months. Non-repainting signals. Every result independently verifiable on TradingView.
Detailed Backtest Data by Asset
Default settings. London + New York sessions. 1H entry timeframe. 4H bias timeframe.
◆Download the table: backtests.csv (10 assets, CSV)
How We Backtest
Non-repainting guarantee: Every signal is confirmed on candle close. Signals never change retroactively. What you see in the backtest is exactly what you would have seen in real time.
Forward-walk testing: Results are validated using out-of-sample data. The indicator is optimized on one data set and tested on a completely separate period to prevent curve-fitting.
Default settings: All backtests use the default Quantum Algo configuration with no manual optimization per asset. This ensures results are representative of what a new user would experience.
Reproducible: Every result can be verified independently using TradingView's Replay mode. No trust required — verify every claim yourself before subscribing.
How to read these backtest results
A backtest is only as honest as its methodology. The numbers here come from applying the Quantum Algo SMC rules across hundreds of trades and multiple market regimes — not a single cherry-picked winning streak. When you read any backtest, look past the headline return to the metrics that actually matter: win rate together with average risk-to-reward, profit factor, maximum drawdown, and the sample size.
Why win rate alone is misleading
A 40% win rate at 3:1 reward-to-risk is highly profitable; an 80% win rate at 0.25:1 loses money. That's why every result here is paired with its reward-to-risk and drawdown. A profit factor above 1 means the strategy made more than it lost; the higher the better, but consistency across regimes matters more than a single spectacular number.
Verify it yourself
Backtests show what a strategy did historically, not a guarantee of the future. That's why Quantum Algo also publishes a live track record — 160 closed signals, with every public call open on TradingView to check one by one — so you can check the system forward, not just backward. Combine both before trusting any tool.
Frequently asked questions
How should I evaluate a trading backtest?
Look at win rate together with average risk-to-reward, profit factor, maximum drawdown, and sample size across different market conditions — never win rate alone. Then check whether the provider also has a live, timestamped forward record to verify the edge.
Verify these results yourself
Quantum Algo is non-repainting. Use TradingView Replay to check every signal independently.
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