How to Backtest a Trading Strategy

Start with a written rule set

A backtest is only as honest as the rules you define: markets and timeframes, entry and exit logic, costs assumptions, and risk limits. Vague ideas produce misleading charts.

Write the rules as if another trader had to follow them without asking you questions.

What to measure

Look beyond a single equity curve. Useful views include drawdown, win rate versus average win/loss, trade count, and sensitivity to small rule changes.

If a strategy only works on one narrow window or collapses when costs are included, treat that as research progress — not a green light to trade size.

Common pitfalls

Overfitting, look-ahead bias, ignoring fees/slippage, and changing rules after seeing results are the usual ways backtests flatter a strategy. Prefer fewer robust rules over a fragile maze of exceptions.

In Plutus Trader, the strategy lab and backtest surfaces are meant to help you iterate under a consistent workspace rather than exporting ad-hoc spreadsheets for every idea.

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Disclaimer

This guide is educational and describes software workflows. It is not financial, investment, tax, or legal advice. Past performance does not guarantee future results. You are solely responsible for your decisions. See the Risk Disclosure.