An AI-Assisted Trade Review Workflow for Checking Crypto Decisions

Summary

This article describes a workflow intended to interrupt impulsive crypto trades by requiring a trader to state a reason before acting. It combines the trade idea with position information, news-based sentiment, and technical indicators such as MACD, RSI, ATR, and OBV. An AI agent assesses the rationale, possible cognitive biases, signal agreement, market mood, timing, and risk, then returns structured guidance that may include entry conditions, stop levels, targets, and a recommendation to wait or abandon the trade.

The workflow stores each analysis in a persistent log that can be exported for later review, helping the trader track recurring errors and changes in decision habits. The document gives illustrative examples and a detailed system design, but no controlled evidence that the process improves returns or prevents a stated proportion of bad trades. It explicitly cautions that AI cannot predict the future, guarantee profits, or reliably handle extreme markets; the framework is presented as an initial implementation that still needs refinement.

Key ideas

• Requiring a written trade rationale can create a pause for reviewing an impulsive decision.
• The workflow combines positions, sentiment, technical indicators, and the trader’s stated idea for AI review.
• Structured outputs translate the review into potential entry, exit, and risk guidance.
• Persisted trade logs can support later reflection on recurring biases and decision patterns.
• The system cannot guarantee profitable decisions, and its analysis depends on available data and AI judgment.

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