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Run a platform-neutral backtest

Test a strategy against normalized historical data while preserving fees, slippage, assumptions, and source.

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Goal

What this article helps you do

Create a reproducible historical strategy test that remains separate from actual trading results.

Before you start

Before you start

  • Backtesting entitlement.
  • A supported historical dataset.
Instructions

Follow these steps

  1. 1

    Choose the dataset source, instrument, timeframe, date range, and session.

  2. 2

    Select or define entry, confirmation, risk, exit, and frequency rules.

  3. 3

    Enter commissions and slippage assumptions.

  4. 4

    Run the test and review trade count, win rate, profit factor, expectancy, net P&L, net R, drawdown, and the equity curve.

  5. 5

    Inspect exact historical test entries and assumptions.

  6. 6

    Save the run or compare variants without merging it into Calendar or recorded Analytics.

Expected result

What you should see

The run remains clearly labeled as a backtest and traceable to its dataset and assumptions.
Troubleshooting

Common mistakes

  • Ignoring commissions and slippage.
  • Optimizing repeatedly on the same sample without validation.
  • Treating a backtest as a guarantee.