For the complete documentation index, see llms.txt. This page is also available as Markdown.

AI Backtest Grades

What AI Backtest Grades Does

The AI Backtest Grades section scores and ranks strategy test results.

It helps you quickly find the strongest parameter sets from your optimization results.

Grade Last Test

Click Grade Last Test to score the latest tested rows.

AlgoPro ranks the best-performing settings based on the grading model.

Download Top 10 CSV

Click Download Top 10 CSV to export your top results.

This is useful for:

  • Saving the best settings

  • Comparing tests later

  • Keeping optimization records

  • Sharing results

  • Reviewing settings outside the extension

Ask AI to Explain Grades

Click Ask AI to Explain Grades to have the AI review your graded results.

The AI can help explain:

  • Why certain settings ranked higher

  • What hurt a strategy’s grade

  • Whether drawdown is too high

  • Whether the strategy may be overfit

  • Which settings look strongest

  • What to test next

Common Metrics Used in Grading

AlgoPro may use metrics such as:

Understanding the Grade

A higher grade usually means the strategy had a better balance of:

  • Profitability

  • Risk control

  • Smoothness

  • Consistency

  • Trade quality

  • Sample size

A high grade does not guarantee future performance. It simply helps compare backtest results more efficiently.

Best Practices

Do not choose a setting only because it has the highest grade.

Also check:

  • Number of trades

  • Drawdown

  • Profit factor

  • Whether results make sense

  • Whether the strategy works on other timeframes or symbols

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