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.
- Download XLSX Sample
Spreadsheet-ready chart data for review, journaling, and process refinement.
- Download JSON Sample
Machine-readable chart context for Claude Code, ChatGPT Codex, automation-ready workflows, and technical review.
Related Articles
- TradingView vs TrendSpider vs MyLinedChart: Structured Chart Exports for Real Trading Processes
A systems-first comparison of TradingView, TrendSpider, and MyLinedChart for traders building executable feedback loops.
- ASX Trade Journaling Workflow: Preserve Levels, Notes, and Review Context
Build an ASX trade journaling workflow that preserves levels, notes, drawings, labels, invalidation context, and review-ready exports.
- HKEX Trade Journaling Workflow: Preserve Levels, Notes, and HKT Review Context
Build an HKEX trade journaling workflow that preserves levels, notes, drawings, labels, invalidation context, skipped setups, and review-ready exports.
- TradingView Alerts to Webhook to Journal: What Context Survives the Handoff?
Use TradingView alerts, webhooks, and journal fields carefully so signal payloads preserve timestamps, symbols, trigger context, and review evidence.
- The Challenge Pass Loop: A 30-Day System for First-Attempt Pass Probability
A 30-day operating loop for Topstep-style and SMB-style evaluations that improves rule compliance and first-attempt pass probability.
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.
- TradingView to MyLinedChart Transition Guide
A practical migration approach for teams that want reusable drawing exports by default.

