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backtest ORB strategy

7 min read

How to backtest an ORB strategy

A credible ORB backtest starts with a written rule set and ends with results that another person could reproduce from the same data.

Format
GUIDE
Practical education
Reading time
7 min
Focused lesson
Framework
RULES FIRST
Repeatable definitions
Risk
DISCLOSED
No guaranteed outcomes
Rules-basedSource labeledUser configuredRisk disclosed

Freeze the rules before viewing results

Document the session timezone, ORB window, break confirmation, retest rule, entry price, stop, targets, late-entry cutoff, and whether both directions can qualify. Changing definitions after seeing losses creates a test that explains the past instead of evaluating a repeatable process.

Use clean intraday data

Check timestamps, missing candles, corporate actions, early closes, and feed coverage. Different providers can print different highs and lows, so record the source and avoid combining datasets without reconciliation.

Track every final outcome

Record qualified wins, stopped trades, no-trade sessions, double breaks, and excluded sessions. A strategy can look stronger when failed or late signals quietly disappear from the denominator.

  • TP1 through stretch-target hits
  • Stop or invalidation
  • Maximum favorable and adverse movement
  • Entry and exit timestamps
  • Rule-based exclusion reason

Test robustness, not just the headline

Split the sample by year, volatility regime, direction, day of week, and range size. A result that depends on one brief market period may not be durable. Treat out-of-sample performance and execution costs as separate checks before risking capital.

Educational use and risk

Historical patterns and target hit rates do not guarantee future results. This guide is general education, not personalized investment advice. Confirm market data with your broker and define risk before entering a trade.