AlgoBars
Is my strategy overfit
Is your strategy
overfit? How to check
The short answer
A strategy is overfit when it was tuned so closely to past data that it learned noise, not an edge. Warning signs are many parameters, very few trades, and results that collapse when settings change slightly. Check it with walk-forward analysis on unseen data and Monte Carlo simulation of trade order, both on AlgoBars, and trust only settings that hold up.
Last updated · Trading involves risk of loss.
Warning signs
- Great backtest, few trades
- Many tuned parameters
- Results collapse when a setting moves slightly
- Works on one market or period only
How to check
- Walk-forward test on data the optimizer never saw.
- Run a Monte Carlo simulation to see the range of outcomes.
- Test nearby settings: robust strategies degrade gently.
- Check other markets and periods.
How do I know if my strategy is overfit?
Test it on unseen data with walk-forward analysis and check how much results change when settings move slightly.
Does AlgoBars have walk-forward and Monte Carlo tools?
Yes.
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