Who this helps
A backtest is a tool for rejecting weak ideas, not a machine for predicting future returns. The key question is where the strategy breaks.
A strategy with a 62% win rate and deep drawdowns may be harder to execute than one with a 45% win rate and more stable risk.
A practical setup order
- Check trade count first; conclusions from a tiny sample are fragile.
- Review maximum drawdown and longest losing period honestly.
- Split the sample by trending, ranging, and volatile regimes.
- Include fees, slippage, and the gap between theoretical and practical entries.
Common traps
- Tuning parameters until history looks perfect is overfitting.
- Net profit hides the pain inside the equity curve.
- Future data or unconfirmed signals can make backtests look far better than live execution.
What to review later
- Does a small parameter change destroy the result?
- Can you survive the losing period financially and psychologically?
- Is there an out-of-sample period for validation?
This article is for tool education and workflow planning only. It is not investment advice. Market data, feature locations, and broker support may vary by region, account, and official release; verify critical actions in TradingView and your account before acting.