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Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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Generate complete, installable OpenClaw trading skills from natural language strategy descriptions. Use when your human wants to create a new trading strategy, build a bot, generate a skill, automate a trade idea, turn a tweet into a strategy, or asks "build me a skill that...". Produces a full skill folder (SKILL.md + Python script + config) ready to install and run.
One-shot bootstrap for the Simmer MCP server. Detects your agent runtime (Claude Code / Cursor / OpenClaw / Hermes / Codex), installs simmer-mcp via npm, writes the right MCP config, prompts a restart, and verifies the tool handshake. Use after registering an agent on simmer.markets to run pre-built Simmer trading strategies through your MCP-aware agent.
The prediction market interface for AI agents. Trade Polymarket and Kalshi through one API with self-custody wallets, safety rails, and smart context.
| name | prediction-trade-journal |
| description | Auto-log trades with context, track outcomes, generate calibration reports to improve trading. |
| metadata | {"author":"Simmer (@simmer_markets)","version":"1.1.8","displayName":"Prediction Trade Journal","difficulty":"beginner"} |
Track every trade, learn from outcomes, improve your edge.
Use this skill when the user wants to:
When user asks to install or configure this skill:
Install the Simmer SDK
pip install simmer-sdk
Ask for Simmer API key
SIMMER_API_KEY# 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:
https://api.simmer.marketsAuthorization: Bearer $SIMMER_API_KEYGET /api/sdk/trades/api/sdk/trades to fetch trade history| 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 |
| Setting | Environment Variable | Default |
|---|---|---|
| API Key | SIMMER_API_KEY | (required) |
Trades are stored locally in data/trades.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
}
}
Other skills can enrich trades with context:
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.
📓 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
"SIMMER_API_KEY environment variable not set"
export SIMMER_API_KEY=sk_live_..."No trades recorded yet"
python tradejournal.py --sync to fetch trades from APITrades not showing outcomes
python tradejournal.py --sync-outcomes to update resolved markets