OpenClaw

prediction-trade-journal

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

adlai880 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install adlai88/prediction-trade-journal

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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

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:

{
  "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...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/adlai88/prediction-trade-journal
Version: —
Commit: 3a083a8ff21464a10dcf69d3c3ce5ba303f02c64
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 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...

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