Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Track every trade, learn from outcomes, improve your edge.
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
# 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
Sync - Polls /api/sdk/trades to fetch trade history Store - Saves trades locally with outcome tracking Track - Updates outcomes when markets resolve Report - Generates win rate, P&L, and calibration analysis
CommandDescription--syncFetch new trades from API--history NShow last N trades (default: 10)--sync-outcomesUpdate resolved markets--report daily/weekly/monthlyGenerate summary report--configShow configuration--export FILE.csvExport to CSV--dry-runPreview without making changes
SettingEnvironment VariableDefaultAPI KeySIMMER_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.
π 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" 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
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.