Skill: ahmed181283/trading-journal-analytics (version 1.0.0)

--- name: trading-journal-analytics description: Professional trading journal with performance analytics, win rate tracking, emotion logging, strategy analysis, and P&L tracking. Use when user needs to improve trading performance, maintain detailed trading records, analyze strategy effectiveness, track emotions and discipline, or build a systematic trading practice. --- # Trading Journal & Performance Analytics ## Quick Start Professional-grade trading journal system for systematic trading improvement with performance analytics, emotion tracking, strategy analysis, and comprehensive P&L monitoring. ## When to Use This Skill Use this skill when you need to: - Maintain professional trading journal with detailed records - Track win rate, P&L, and performance metrics - Analyze emotional states and trading discipline - Evaluate strategy effectiveness and optimize approaches - Generate performance reports and improvement insights - Track trading sessions with context and lessons learned ## Core Features ### Trade Recording - **Detailed trade logging** with entry, exit, size, and reasoning - **Multi-timeframe support** for scalping, day trading, swing, position trading - **Multi-asset tracking** across stocks, crypto, forex, options, futures - **Screenshot/image support** for trade setups and chart patterns - **Tagging system** for strategy, timeframe, and market condition classification ### Performance Analytics - **Win rate calculation** by strategy, timeframe, and market condition - **P&L tracking** with realized and unrealized profits/losses - **Risk-reward analysis** to evaluate trade quality - **Drawdown monitoring** and recovery analysis - **Sharpe ratio and other risk-adjusted metrics** - **Monthly/quarterly/yearly performance summaries** ### Emotion & Discipline Tracking - **Pre-trade emotional state** logging (fear, greed, confidence, overconfidence) - **Post-trade reflection** - what went right/wrong - **Discipline violation tracking** (overtrading, revenge trading, FOMO) - **Emotional pattern analysis** over time - **Streak tracking** (winning/losing) and psychological impact ### Strategy Analysis - **Strategy comparison** - which approaches work best - **Market condition filtering** - performance in trending vs ranging markets - **Timeframe analysis** - best performing timeframes - **Setup effectiveness** - which chart patterns work - **Strategy optimization suggestions** based on historical data ## Usage ### Basic Trade Entry ``` Log my trade: Entered EURUSD long at 1.0850, stop 1.0820, target 1.0950 Reason: Breakout of daily resistance, strong momentum ``` ### Performance Query ``` Show my win rate for EURUSD trades in March Analyze my breakout strategy performance ``` ### Emotion Tracking ``` Log emotional state before trade: feeling confident after 3-win streak Record trading discipline violation: revenge trade after loss ``` ### Strategy Analysis ``` Compare performance of breakout vs mean reversion strategies Which timeframe performs best for my trading style? ``` ## Trade Structure ### Standard Trade Entry ``` Asset: EUR/USD Type: Long / Short Entry Price: 1.0850 Stop Loss: 1.0820 Take Profit: 1.0950 Position Size: 1.0 lot Risk-Reward: 1:3 Strategy: Daily Breakout Timeframe: 4H Entry Date/Time: 2026-04-26 14:30 UTC Exit Date/Time: 2026-04-26 16:45 UTC Exit Price: 1.0948 P&L: +$680 Pre-Trade Emotion: Confident Post-Trade Reflection: Good entry, could have held longer Market Condition: Strong uptrend, volume spike Screenshots: [attached chart images] Tags: #breakout #4H #trending #winning-trade ``` ## Analytics & Reports ### Performance Metrics | Metric | Calculation | Benchmark | |---------|-------------|------------| | **Win Rate** | Winning trades / Total trades | >50% breakeven | | **Average R:R** | Avg profit / Avg risk | >1.5 good | | **Sharpe Ratio** | (Return - RiskFree) / StdDev | >1.0 good | | **Max Drawdown** | Peak to trough % | <20% good | | **Win/Loss Ratio** | Avg win / Avg loss | >2.0 good | | **Profit Factor** | Gross profit / Gross loss | >1.5 good | ### Performance Reports ``` Monthly Performance Report - April 2026 Total Trades: 47 Winning Trades: 28 (59.6%) Losing Trades: 19 (40.4%) Total P&L: +$4,230 Average Win: +$234 Average Loss: -$89 Win/Loss Ratio: 2.63 Best Strategy: 4H Breakout (68% win rate) Best Timeframe: 4H Biggest Win: +$680 Biggest Loss: -$340 Max Drawdown: -8.2% Emotional Pattern: Overconfident after 3+ win streaks Discipline Score: 7.2/10 (improvement needed) Top Improvements: 1. Reduce position size after 3+ win streaks (overconfidence) 2. Better stop placement on mean reversion trades 3. Avoid revenge trading after losses ``` ## Emotion & Psychology ### Emotional States to Track - **Confidence** - normal trading state - **Overconfidence** - after winning streaks, dangerous - **Fear** - missing opportunities, hesitation - **Greed** - overleveraging, chasing trades - **Revenge** - trying to recover losses - **FOMO** - fear of missing out - **Anxiety** - after losses, poor decisions ### Discipline Violations - **Overtrading** - too many trades, no edge - **Revenge Trading** - trying to recover losses - **FOMO Entries** - chasing moves without setup - **No Stop Loss** - or moved stop for hope - **Overleveraging** - risk too high for account - **Trading When Distracted** - not focused ### Psychology Insights ``` Emotional Pattern Analysis: Overconfidence Pattern: - Occurs after: 3+ consecutive wins - Next trade win rate: 34% (down from 59%) - Recommendation: Reduce position size by 30% Revenge Trading Pattern: - Occurs after: Losses >$200 - Next trade P&L: -$120 average - Recommendation: Take 1-hour break after loss FOMO Entries: - Trigger: Strong moves without setup - Win rate: 27% - Recommendation: Stick to your setups, ignore noise ``` ## Strategy Analysis ### Strategy Comparison ``` Strategy Performance Comparison: Breakout Strategy: - Trades: 18 | Win Rate: 68% | Avg R:R: 2.1 - Best in: Trending markets | Worst in: Ranging - Improvement: Add volume confirmation Mean Reversion Strategy: - Trades: 14 | Win Rate: 52% | Avg R:R: 1.3 - Best in: Ranging markets | Worst in: Breakouts - Improvement: Better stop placement Momentum Strategy: - Trades: 11 | Win Rate: 45% | Avg R:R: 0.9 - Best in: Strong trends | Worst in: Chop - Improvement: Avoid overtrading, increase R:R ``` ## Export & Integration ### Export Formats - **CSV export** for spreadsheet analysis - **JSON export** for custom dashboards - **PDF reports** for professional documentation - **Calendar integration** for trade reminders - **TradingView sync** for chart annotations ### Cloud Storage - **Automatic backup** to cloud storage - **Cross-device sync** for mobile access - **Version history** and trade record integrity - **Collaborative features** for trading teams ## Advanced Features ### Pattern Recognition - **Winning streak analysis** - what leads to wins - **Losing streak patterns** - what causes drawdowns - **Market condition correlation** - performance by environment - **Time-of-day analysis** - best trading hours - **Day-of-week patterns** - which days perform best ### Risk Management - **Position sizing calculator** - based on account and risk - **Portfolio correlation** - if trading multiple assets - **Risk-of-ruin calculation** - position sizing safety - **Monte Carlo simulation** - expected outcomes ### Goal Setting & Tracking - **Monthly P&L targets** with progress tracking - **Win rate goals** with achievement tracking - **Drawdown limits** and violation alerts - **Discipline score improvement** over time ## Setup & Configuration ### Initial Configuration ``` Set trading account size and base risk per trade (1-2%) Configure preferred timeframes and strategies Set up emotion tracking preferences Configure performance goal thresholds ``` ### Journal Templates - **Pre-trade checklist** - confirm setup before entry - **Post-trade reflection** - what did I learn - **Weekly review** - strategy and discipline assessment - **Monthly goals** - target setting and progress ## Quality Improvements ### Journal Quality Checklist - [ ] Every trade has clear reason and setup - [ ] Entry, exit, stop, target all recorded - [ ] P&L calculated accurately - [ ] Emotional state logged for each trade - [ ] Strategy and timeframe tagged - [ ] Post-trade reflection completed - [ ] Screenshots/notes for complex setups ### Journal Maintenance - **Daily journal review** - what did I learn today? - **Weekly strategy assessment** - what's working/not working? - **Monthly performance review** - am I improving on key metrics? - **Quarterly plan** - what to focus on next quarter? ## Getting Started ### 1. Initial Setup ``` Configure my trading journal with account size and risk parameters Set up preferred strategies and timeframes ``` ### 2. First Trade Entry ``` Log my first trade with all required fields Document reasoning and emotional state ``` ### 3. Performance Tracking ``` Generate my first performance report Identify areas for improvement ``` ### 4. Continuous Improvement ``` Review journal weekly for patterns Adjust strategies based on analytics Work on discipline based on insights ``` ## Getting Help For advanced features and trading psychology: - [Trading Psychology Guide](references/trading-psychology.md) - [Strategy Development Framework](references/strategy-development.md) - [Risk Management Best Practices](references/risk-management.md) - [Performance Optimization](references/performance-coaching.md)

path: clawhub.json
content: {
  "name": "trading-journal-analytics",
  "displayName": "Trading Journal & Performance Analytics",
  "version": "1.0.0",
  "description": "Professional trading journal with performance analytics, win rate tracking, emotion logging, strategy analysis, and comprehensive P&L monitoring for systematic trading improvement.",
  "author": "ahmed181283",
  "license": "MIT",
  "pricing": {
    "model": "subscription",
    "price": 19900,
    "interval": "monthly"
  },
  "tags": ["trading", "journal", "performance", "analytics", "win-rate", "p-l", "emotion-tracking", "strategy-analysis"],
  "minOpenClawVersion": "1.0.0",
  "category": "finance"
}


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)