| name | skill-trading-journal |
| description | Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/losses. Use when recording a new trade, reviewing performance, running a weekly debrief, or updating the trading strategy based on results. |
Trading Journal
Systematic trade logging and performance review. Every trade logged = strategy gets smarter over time.
Trade Log Storage
Stored at: ~/.openclaw/workspace/trading/journal.json
Log a New Trade
Log trade to trading/journal.json:
- Symbol: GRASSUSDT
- Direction: LONG
- Entry: $0.36
- Entry date: 2026-03-13
- Size: $50 USDC
- Thesis: Price broke above $0.30 threshold + GTC keynote catalyst in 3 days + volume rising
- Catalyst: NVIDIA GTC 2026
- Signal source: skill-crypto-threshold-watcher
- Stop loss: $0.28 (22% below entry)
- Take profit: $0.50 (39% above entry)
Log Trade Exit
Update journal entry [trade-id] with exit:
- Exit price: $0.46
- Exit date: 2026-03-17
- Exit reason: Take profit not hit, manual exit (Aladdin decision)
- PnL: +$12.78 (+27.7%)
- Lesson: Entry thesis was correct. Exit was early — could have held to $0.50 TP.
Trade Record Schema
{
"id": "trade-001",
"symbol": "GRASSUSDT",
"direction": "LONG",
"status": "CLOSED",
"entry_price": 0.36,
"entry_date": "2026-03-13",
"entry_size_usdc": 50,
"thesis": "Price broke above $0.30 threshold + GTC keynote catalyst",
"catalyst": "NVIDIA GTC 2026",
"signal_source": "skill-crypto-threshold-watcher",
"stop_loss": 0.28,
"take_profit": 0.50,
"exit_price": 0.46,
"exit_date": "2026-03-17",
"exit_reason": "Manual exit — pre-TP",
"pnl_usdc": 12.78,
"pnl_pct": 27.7,
"lesson": "Exit was early. Hold to TP next time unless thesis breaks.",
"emotion": "neutral",
"thesis_correct": true,
"execution_correct": false
}
Weekly Performance Report
Generate weekly trading report from trading/journal.json for the past 7 days.
Include: total PnL, win rate, avg win vs avg loss, best/worst trade, lessons summary, strategy adjustments.
Sample output:
📊 WEEKLY TRADING REPORT — Mar 10–17, 2026
Trades: 2 | Wins: 2 | Losses: 0 | Win Rate: 100%
Total PnL: +$18.43 (+23.4% on deployed capital)
Avg Win: +$9.21 | Avg Loss: N/A
Best Trade: GRASSUSDT +$12.78 (+27.7%)
LESSONS THIS WEEK:
- Thesis-correct but execution left early on GRASS — hold to TP when thesis intact
- Volume spike threshold ($100M) on FET called the move correctly
STRATEGY ADJUSTMENTS:
- Raise FET volume threshold to $120M (reduce false positives)
- Add trailing stop at +20% to avoid leaving gains on table
NEXT WEEK CATALYSTS:
- [from catalyst-calendar]
Monthly Strategy Review
Generate monthly strategy review from trading/journal.json.
Identify: which signal types worked, which failed, regime conditions, recommended rule updates.
Integration with Trading Pipeline
- Inputs from:
skill-crypto-threshold-watcher (signal), skill-catalyst-calendar (context), binance-pro (execution confirmation)
- Outputs to:
backtest-expert (validated signals for re-testing), quant-trading-system (parameter updates)
- Review cadence: Weekly debrief every Sunday 20:00 UTC
Emotion Tracking
Log emotion at trade entry: calm | excited | fearful | greedy | neutral
Over time, identify if emotional state correlates with win/loss rate. This is where most traders lose edge.
Rules Enforcement
Before logging a new trade, verify:
If any field missing → trade is NOT valid per rulebook.
