Article
TradingView Replay Trade Log Workflow: Exporting Every Decision Without Manual Spreadsheet Pain
Use a fixed replay log schema to capture every decision consistently and reduce review friction.
Replay logs fail when fields change daily. This workflow standardizes decision capture so each replay session produces comparable evidence for process improvement.
Short Answer
Create one fixed replay log schema and use it for every session so decisions are exportable and comparable. Consistent fields eliminate manual spreadsheet sprawl and make it easier to identify repeatable execution errors by setup type.
Which fields belong in a replay trade log?
- Setup ID, trigger reason, and invalidation rule.
- Management actions with timestamped decision notes.
- Rule-adherence score and post-trade classification.
How should replay logs be reviewed each week?
- Group results by setup family and session regime.
- Count repeat rule violations by severity.
- Promote one correction rule into next-week execution.
Common Mistakes
- Adding ad hoc fields that break comparability.
- Logging outcomes without decision rationale.
- Reviewing totals instead of setup-level patterns.
Next Step
Run the fixed schema for two weeks and rank the top three recurring replay errors by frequency. MyLinedChart can centralize trigger, invalidation, and management notes in one export flow so replay logs stay structured across sessions.
If you want replay logs converted into coaching checkpoints automatically, consulting can help implement that workflow.
FAQ
How many fields should a replay log start with?
Start with 8 to 12 core fields and expand only when each added field improves decision analysis.
Should screenshots replace structured logs?
No. Screenshots are useful for context, but structured logs are required for measurable review.
What is the most useful replay metric?
Rule-adherence by setup family is usually the highest-leverage metric for improvement.
Sample Structured Chart-Data Exports
Review how chart drawings, annotations, OHLC, volume, and execution context become reusable structured data.

