prediction-trade-journal
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Best use case
prediction-trade-journal is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Teams using prediction-trade-journal should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prediction-trade-journal/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prediction-trade-journal Compares
| Feature / Agent | prediction-trade-journal | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Prediction Trade Journal
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
## 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
```
📓 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 marketsRelated Skills
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