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trade-journal-analyzer

Extract pattern signals and classify drawdowns from trading journal entries.

558|75|Updated Dec 18, 2025
Search Tags:#risk-management#pattern-analysis#edge-detection#trading-insights#trade-journal#journal-analytics#drawdown-classification
One-click install
npx skills add https://github.com/winstonkoh87/Athena-Public --skill trade-journal-analyzer-winstonkoh87
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-journal-analyzer
Source: https://github.com/winstonkoh87/Athena-Public/tree/main/examples/skills/workflow/trade-journal-analyzer
Command: npx skills add https://github.com/winstonkoh87/Athena-Public --skill trade-journal-analyzer-winstonkoh87

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts unstructured trading journal notes into actionable analytics by extracting recurring patterns and classifying drawdowns to reveal risk and edge.

Core Features & Use Cases

  • Ingests and normalizes journal entries from trading logs.
  • Extracts performance patterns by setup, instrument, and time.
  • Classifies drawdown sequences to distinguish noise from edge issues and support review.

Quick Start

Analyze my trading journal to extract patterns and classify drawdowns for edge assessment.

Frequently Asked Questions about trade-journal-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract trading patterns from my trade journal entries?▼

Trade journal analysis ingests your unstructured trading notes to extract recurring patterns across setups, instruments, and timeframes. It normalizes the data to reveal performance signals and identify your edge.

What is drawdown classification in post-trade analytics?▼

Drawdown classification categorizes losing sequences in your trade journal to distinguish normal market noise from actual edge issues. This risk-management process helps you assess whether your strategy requires review.

Can I analyze drawdowns and edge detection across different instruments and timeframes?▼

Yes, journal analytics supports post-trade analysis across multiple setups, instruments, and timeframes. It processes your trading logs to detect pattern signals and classify drawdowns for comprehensive edge assessment.

What is the best way to normalize unstructured trading logs for pattern analysis?▼

The best way to normalize unstructured trading logs is ingesting the journal entries into an analytics pipeline for pattern extraction. This converts raw notes into actionable trading insights for risk assessment.

Do I need a specific file format to ingest trading journal data for risk management review?▼

You can ingest trading journal entries from your existing logs without specific dependencies. The analyzer normalizes the data to extract performance patterns and classify drawdowns for actionable review outputs.

When should I use trade journal analytics instead of manual post-trade review?▼

Use trade journal analytics when your unstructured trading logs grow too complex for manual review. It automates pattern extraction and drawdown classification to reveal risk and edge issues faster.

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