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Prediction Trade Journal

Auto-log trades with context, track outcomes, generate calibration reports to improve trading. Skill: Prediction Trade Journal Owner: adlai88 Summary: Auto-log trades with context, track outcomes, generate calibration reports to improve trading. Tags: latest:1.1.10 Version history: v1.1.10 | 2026-02-27T10:22:47.697Z | auto - Added a "difficulty: beginner" field to SKILL.md for clearer guidance. - No functional or command changes; documentation improvement only. v1.1.9 | 2026-02-27T03:59:32.149Z | user Sync v1.

OpenClaw
View on ClawHub

Rank

62

Safety

84

Downloads

682

Updated

Apr 15, 2026

Version

1.1.10

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 682 downloads reported by the source. Last updated 4/15/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Apr 15, 2026
Protocol compatibility
OpenClawcompatibility · observed Apr 15, 2026
Adoption signal
682 downloadsadoption · observed Apr 15, 2026
Latest release
1.1.10release · observed Feb 27, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn7axnp7bzqsf5fkx0z8px7han7zyq1x:prediction-trade-journal
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-adlai88-prediction-trade-journal/snapshot"

Documentation

CLAWHUB

8,968 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: prediction-trade-journal
displayName: Prediction Trade Journal
description: Auto-log trades with context, track outcomes, generate calibration reports to improve trading.
metadata: {"clawdbot":{"emoji":"📓","requires":{"env":["SIMMER_API_KEY"],"pip":["simmer-sdk"]},"cron":null,"autostart":false}}
authors:
  - Simmer (@simmer_markets)
version: "1.1.8"
difficulty: beginner
published: true
---

# 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 ye

_meta.json

{
  "ownerId": "kn7axnp7bzqsf5fkx0z8px7han7zyq1x",
  "slug": "prediction-trade-journal",
  "version": "1.1.10",
  "publishedAt": 1772187767697
}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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  ]
}

Record generated Oct 9, 2026.

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