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Tencent SkillHub Β· AI

Prediction Trade Journal

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

skill openclawclawhub Free
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High Signal

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

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, clawhub.json, scripts/status.py, tradejournal.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.11

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

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

# 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

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

CLI Reference

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

Configuration

SettingEnvironment VariableDefaultAPI KeySIMMER_API_KEY(required)

Storage

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 } }

Skill Integration

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.

Example Report

πŸ““ 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

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Scripts1 Docs1 Config
  • SKILL.md Primary doc
  • scripts/status.py Scripts
  • tradejournal.py Scripts
  • clawhub.json Config