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Tutorial: Build a backtest checklist before you write a trading strategy

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This is an educational engineering checklist, not financial advice. A backtest starts with a testable hypothesis, not an indicator.

Write down first:
  • Market, instrument universe, timeframe, and session rules.
  • Exact entry, exit, and no-trade conditions.
  • Data source, timezone, adjustment method, and missing-data policy.
  • Commission, spread, slippage, funding, and position-limit assumptions.
  • Risk rule: maximum loss per trade, daily stop, and portfolio exposure cap.
  • Metrics: drawdown, turnover, win/loss distribution, and out-of-sample performance.

If a rule cannot be described precisely enough for a computer to execute, it cannot be fairly backtested. Keep a versioned research notebook so assumptions change visibly.

What is the first assumption you now document before testing an idea?
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Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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