Prediction Trade Journal

Auto-log trades with context, track outcomes, generate calibration reports to improve trading.

Track every trade, learn from outcomes, improve your edge.

When to Use This Skill

Use this skill when the user wants to:

• See their trade history
• Track win rate and P&L
• Generate trading reports
• Analyze which strategies work best

Setup Flow

When user asks to install or configure this skill:

1. Install the Simmer SDK

   bash

   pip install simmer-sdk
   

2. Ask for Simmer API key

   • They can get it from simmer.markets/dashboard → SDK tab
   • Store in environment as SIMMER_API_KEY

Quick Commands

bash

# Sync trades from API
python tradejournal.py --sync

# Show recent trades
python tradejournal.py --history 10

# Generate weekly report
python tradejournal.py --report weekly

# Export to CSV
python tradejournal.py --export trades.csv

API Reference:

• Base URL: https://api.simmer.markets
• Auth: Authorization: Bearer $SIMMER_API_KEY
• Trades: GET /api/sdk/trades

How It Works

1. Sync - Polls /api/sdk/trades to fetch trade history
2. Store - Saves trades locally with outcome tracking
3. Track - Updates outcomes when markets resolve
4. Report - Generates win rate, P&L, and calibration analysis

CLI Reference

Command	Description
--sync	Fetch new trades from API
--history N	Show last N trades (default: 10)
--sync-outcomes	Update resolved markets
--report daily/weekly/monthly	Generate summary report
--config	Show configuration
--export FILE.csv	Export to CSV
--dry-run	Preview without making changes

Configuration

Setting	Environment Variable	Default
API Key	SIMMER_API_KEY	(required)

Storage

Trades are stored locally in data/trades.json:

json

{
  "trades": [{
    "id": "uuid",
    "market_question": "Will X happen?",
    "side": "yes",
    "shares": 10.5,
    "cost": 6.83,
    "outcome": {
      "resolved": false,
      "winning_side": null,
      "pnl_usd": null
    }
  }],
  "metadata": {
    "last_sync": "2025-01-29T...",
    "total_trades": 50
  }
}

Skill Integration

Other skills can enrich trades with context:

python

from tradejournal import log_trade

# After executing a trade
log_trade(
    trade_id=result['trade_id'],
    source="copytrading",
    thesis="Mirroring whale 0x123...",
    confidence=0.70
)

This adds thesis, confidence, and source to the trade record for better analysis.

Example Report

text

📓 Weekly Report
========================================
Period: Last 7 days
Trades: 15
Total cost: $125.50
Resolved: 8 / 15
Win rate: 62.5%
P&L: +$18.30

By side: 10 YES, 5 NO

Troubleshooting

"SIMMER_API_KEY environment variable not set"

• Set your API key: export SIMMER_API_KEY=sk_live_...

"No trades recorded yet"

• Run python tradejournal.py --sync to fetch trades from API

Trades not showing outcomes

• Run python tradejournal.py --sync-outcomes to update resolved markets