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Conditional Trading Plans for Managing Uncertainty and Review

Article MQL5 code base

Summary

This article advocates making trading decisions through explicit “if–then” plans rather than trying to predict market outcomes with certainty. It suggests defining actions in advance for possible price, company, and broad-market conditions, with examples such as exiting after a moving-average break, adding after a strong earnings surprise, or reducing exposure when systemic risk appears. It frames these rules as a way to support discipline and manage risk, and says their actions should have positive expected value over time.

The article distinguishes forward-looking contingencies from counterfactual regret about past trades. It recommends writing down entry, profit-taking, and stop conditions before a trade, then reviewing whether the original reasoning was sound and whether execution followed the plan. It also encourages converting regret into a question about how to respond next time. These are general process recommendations, not a tested strategy: the article presents no data, specific method for estimating expected value, or evidence that its examples are profitable. Its discussion is limited to broad advice for stock-market decision-making.

Key ideas

  • Define conditional actions for plausible market outcomes before entering a trade.
  • A plan can specify entry conditions, profit-taking objectives, and exit limits.
  • Review whether the original decision logic was reasonable using information available at the time.
  • Separate useful future planning from regret about outcomes that cannot be changed.
  • The article offers no performance data or method for verifying that its rules have positive expected value.

Tags

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