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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