Reviewing Gold Trades by Decision Quality, Process, and Risk
Summary
This guide argues that a trade’s profit or loss is an incomplete measure of its quality. A planned trade can lose through ordinary uncertainty, while an impulsive trade can profit by chance. It proposes reviewing gold CFD trades across market assessment, plan adherence, execution discipline, and risk management, with attention to macro drivers such as the dollar, real yields, Federal Reserve expectations, data releases, and safe-haven flows.
The article recommends recording the thesis, entry, invalidation point, size, event context, and any changes made during the trade. It suggests classifying losing trades by whether analysis and execution were sound, then reviewing weekly execution and monthly performance across market conditions. Metrics include average wins and losses, expectancy, drawdown, consecutive losses, and plan adherence, rather than win rate alone. These are process recommendations, not evidence that any specific gold setup is profitable; the guide is incomplete in places and offers no tested strategy results.
Key ideas
- Trade outcomes should be separated from decision quality because individual results are affected by randomness.
- A structured review examines market assessment, plan adherence, execution discipline, and risk management.
- Trade records should capture the thesis, entry conditions, stop, position size, event context, and management decisions.
- Weekly and monthly analysis can reveal execution errors and performance differences across market conditions.
- Expectancy, drawdown, average gains and losses, and plan adherence provide context that win rate alone misses.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.