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 MyLinedChart Multi-Chart Exports With Drawings
- Download Sample XLSX Export (.xlsx)
XLSX and CSV are streamlined for human reading. Use spreadsheets for direct review and journaling.
- Download Sample JSON Export (.json)
JSON keeps full technical details. JSON sample for structured automation, backtesting prep, and pipeline ingestion.
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More Video Guides
- Export Chart Data With Notes for Real Trade Journals
Build review-ready journals by exporting annotated context, not only prices.
- How to Turn Chart Drawings Into Automation-Ready Data
A practical framework for moving from visual chart notes to machine-readable process inputs.
- MyLinedChart vs Other Charting Platforms
Why MyLinedChart is built for exporting reusable drawing context instead of only chart visuals.

