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Using Win-Loss and Reward-Risk Ratios to Compare Trading Times

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Summary

This document describes a historical analysis script intended to help day traders identify the times and days when a strategy performs best. It focuses on win-loss ratio and reward-risk ratio as measures for comparing strategy outcomes across trading periods. The analogy is that a business should operate when demand is strongest; similarly, a trader can examine when a strategy has historically been most effective.

The script accepts a win-loss ratio threshold, set by default to 40%, and a reward-risk ratio threshold, set by default to 2. It points readers to instructions for analyzing historical data and mentions related tools for examining individual days or times. No actual strategy results, dataset description, or validation method are given. Historical patterns may not persist, and the document does not explain how to account for sample size, transaction costs, or selection bias when choosing favorable periods.

Key ideas

  • The script compares strategy performance across trading times and days.
  • It uses win-loss and reward-risk ratios as analysis inputs.
  • The stated defaults are a 40% win-loss ratio and a reward-risk ratio of 2.
  • No empirical findings or validation details are supplied.
  • Historical time-of-day patterns require care because they may reflect limited samples or selection effects.

Tags

StatisticsBacktestingRisk management

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.