Overfitting: why the best historical strategy may be the least useful
Keep track of how many ideas you tried before celebrating the winning result.
Learn backtesting basics, drawdown, position sizing and research journaling. Understand evidence limits and connect the concepts through a research path.
Ask what the evidence supports, what the test leaves out and what would change the conclusion.
Follow the connected lessons ↗ Try the related practice exercise ↗Keep track of how many ideas you tried before celebrating the winning result.
Understand the ingredients of a historical simulation before reading its return chart.
Understand peak-to-trough loss and why recovery percentages are asymmetric.
Make costs visible before evaluating whether a trading rule adds value.
Check signal timing, data revisions and execution assumptions before trusting a result.
Learn a decision process without mistaking simulation for real execution.
Understand a risk-budget model without assuming a stop order guarantees the planned loss.
Record the question, evidence and next test rather than only the final score.
Turn a market opinion into a rule, a dataset and a condition that could prove it wrong.
Try a shorter search, or clear the topic and difficulty filters.
Approximate visitors and country are counted locally; VPNs and shared networks can affect the estimate. No analytics vendor receives these events. Privacy details.