Trading Decision Pro

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name: trading-decision-pro-automaton description: AI-powered trading decision assistant by Automaton. Market sentiment analysis, risk assessment, real-time trade recommendations. version: 1.0.0 author: Automaton tags: - trading - decision-making - market-analysis - risk-management - crypto - stocks - forex - automaton homepage: https://github.com/openclaw/skills/trading-decision-pro metadata: openclaw: emoji: 🧠 pricing: basic: "39 USDC" pro: "79 USDC (with advanced signals)"

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Trading Decision Pro 🧠

AI-powered trading decision assistant.

Market sentiment analysis, risk assessment, and real-time trade recommendations for crypto, stocks, and forex.

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💰 付费服务

交易决策咨询:

| 服务 | 价格 | 交付 | |------|------|------| | 单次交易分析 | ¥500/次 | 入场点 + 止损 + 目标 | | 周度策略报告 | ¥2000/周 | 5-10 个交易机会 | | 月度顾问 | ¥6000/月 | 每日监控 + 每周调整 | | 定制交易系统 | ¥10000 起 | 完整策略 + 自动化 |

⚠️ 风险提示: 交易有风险，不承诺收益。

联系: 微信/Telegram 私信，备注"交易决策"

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🎯 What It Solves

Traders struggle with:

❌ Emotional decision-making

❌ Missing market context

❌ Poor risk assessment

❌ Information overload

❌ No systematic approach

Trading Decision Pro provides:

✅ Objective AI analysis

✅ Real-time sentiment scoring

✅ Clear risk/reward ratios

✅ Actionable trade setups

✅ Position sizing guidance

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✨ Features

📊 Market Sentiment Analysis

Multi-source sentiment aggregation

Social media sentiment (Twitter, Reddit, Telegram)

News sentiment analysis

On-chain metrics (for crypto)

Fear & Greed Index integration

🎯 Trade Signal Generation

Entry point recommendations

Stop-loss levels

Take-profit targets

Risk/reward ratio calculation

Confidence scoring (0-100%)

⚠️ Risk Assessment

Position sizing calculator

Portfolio risk exposure

Correlation analysis

Drawdown protection

Volatility-adjusted stops

📈 Technical Analysis

Multi-timeframe analysis

Key support/resistance levels

Trend identification

Pattern recognition

Indicator confluence

💼 Portfolio Management

Current position tracking

P&L monitoring

Asset allocation suggestions

Rebalancing alerts

Performance analytics

🔔 Smart Alerts

Price breakouts

Sentiment shifts

Risk threshold breaches

Take-profit hits

Stop-loss warnings

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📦 Installation

clawhub install trading-decision-pro

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🚀 Quick Start

1. Initialize Decision Engine

const { TradingDecisionPro } = require('trading-decision-pro');
const trader = new TradingDecisionPro({
  apiKey: 'your-api-key',
  markets: ['crypto', 'stocks'],  // or 'forex', 'all'
  riskProfile: 'moderate',  // conservative, moderate, aggressive
  maxPositionSize: 0.1  // 10% of portfolio
});

2. Get Market Sentiment

const sentiment = await trader.getSentiment('BTC');
console.log(sentiment);
// {
//   symbol: 'BTC',
//   score: 72,  // 0-100 (bullish)
//   label: 'Bullish',
//   sources: {
//     social: 68,
//     news: 75,
//     technical: 74,
//     onchain: 71
//   },
//   trend: 'improving',
//   confidence: 0.85
// }

3. Analyze Trade Setup

const analysis = await trader.analyzeTrade({
  symbol: 'BTC/USDT',
  direction: 'long',
  entryPrice: 67500,
  stopLoss: 65000,
  takeProfit: 72000
});
console.log(analysis);
// {
//   recommendation: 'ENTER',
//   confidence: 78,
//   riskReward: 1.8,
//   winProbability: 0.65,
//   suggestedSize: 0.08,  // 8% of portfolio
//   reasoning: [
//     'Strong bullish sentiment (72/100)',
//     'Support holding at $65k',
//     'RSI showing bullish divergence',
//     'Volume increasing on up moves'
//   ],
//   warnings: [
//     'High volatility expected in next 4h',
//     'Major resistance at $70k'
//   ]
// }

4. Get Position Sizing

const sizing = await trader.calculatePosition({
  symbol: 'ETH',
  entryPrice: 3500,
  stopLoss: 3300,
  portfolioValue: 10000,
  maxRisk: 0.02  // 2% max loss
});
console.log(sizing);
// {
//   positionSize: 0.57,  // ETH amount
//   positionValue: 1995,  // USD
//   portfolioPercent: 19.95,
//   riskAmount: 114,  // USD at stop
//   riskPercent: 1.14
// }

5. Monitor Portfolio Risk

const risk = await trader.getPortfolioRisk({
  positions: [
    { symbol: 'BTC', size: 0.5, entryPrice: 65000 },
    { symbol: 'ETH', size: 2.0, entryPrice: 3400 }
  ],
  totalValue: 50000
});
console.log(risk);
// {
//   totalExposure: 0.65,  // 65% of portfolio
//   correlationRisk: 'HIGH',
//   maxDrawdown: 0.18,
//   var95: 0.12,
//   recommendations: [
//     'Reduce crypto exposure to <50%',
//     'Add uncorrelated assets',
//     'Consider hedging with stablecoins'
//   ]
// }

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💡 Advanced Usage

Multi-Timeframe Analysis

const mtf = await trader.multiTimeframeAnalysis('BTC', {
  timeframes: ['15m', '1h', '4h', '1d'],
  indicators: ['RSI', 'MACD', 'EMA', 'Volume']
});
// Returns confluence score and direction per timeframe

Pattern Recognition

const patterns = await trader.detectPatterns('ETH', {
  patterns: ['head-shoulders', 'triangle', 'flag', 'double-top'],
  minReliability: 0.7
});
// Returns detected patterns with reliability scores

News Impact Analysis

const impact = await trader.analyzeNewsImpact('BTC', {
  timeRange: '24h',
  sources: ['twitter', 'reddit', 'news', 'telegram']
});
// Returns sentiment impact score and key events

Backtest Strategy

const results = await trader.backtest({
  symbol: 'BTC/USDT',
  strategy: 'sentiment-follow',
  startDate: '2025-01-01',
  endDate: '2026-03-19',
  initialCapital: 10000
});
// Returns performance metrics (win rate, Sharpe, max DD, etc.)

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🔧 Configuration

| Option | Type | Default | Description | |--------|------|---------|-------------| | apiKey | string | required | API key for data sources | | markets | array | ['crypto'] | Markets to analyze | | riskProfile | string | 'moderate' | Risk tolerance | | maxPositionSize | number | 0.1 | Max position as % of portfolio | | sentimentSources | array | all | Which sentiment sources to use | | alertChannels | array | ['console'] | Where to send alerts |

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📊 API Methods

getSentiment(symbol)

Get market sentiment score for a symbol.

analyzeTrade(tradeSetup)

Analyze a specific trade setup with entry, stop, target.

calculatePosition(params)

Calculate optimal position size based on risk.

getPortfolioRisk(positions)

Assess overall portfolio risk exposure.

multiTimeframeAnalysis(symbol, options)

Analyze multiple timeframes for confluence.

detectPatterns(symbol, options)

Detect chart patterns with reliability scoring.

analyzeNewsImpact(symbol, options)

Analyze news and social media impact.

backtest(strategy, options)

Backtest trading strategies.

getAlerts()

Get active alerts and notifications.

setAlert(params)

Create custom price or sentiment alerts.

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📁 File Structure

trading-decision-pro/
├── SKILL.md
├── index.js
├── package.json
├── _meta.json
├── README.md
├── src/
│   ├── sentiment.js
│   ├── analysis.js
│   ├── risk.js
│   ├── patterns.js
│   └── alerts.js
└── tests/
    └── trading-decision.test.js

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💰 Pricing

| Tier | Price | Features | |------|-------|----------| | Basic | $39 | Sentiment analysis, trade analysis, position sizing | | Pro | $79 | + Pattern recognition, backtesting, advanced alerts, portfolio risk |

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📝 Changelog

v1.0.0 (2026-03-19)

Initial release

Market sentiment analysis

Trade setup analyzer

Position sizing calculator

Portfolio risk assessment

Pattern recognition

Smart alerts

Backtesting engine

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⚠️ Risk Disclaimer

Trading involves substantial risk of loss.

This tool provides analysis and recommendations, not financial advice

Past performance does not guarantee future results

Always do your own research (DYOR)

Never risk more than you can afford to lose

Use proper risk management at all times

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📄 License

MIT License - See LICENSE file for details.

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🙏 Support

GitHub: https://github.com/openclaw/skills/trading-decision-pro

Discord: OpenClaw Community

Email: support@openclaw.ai

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*Built with ❤️ by OpenClaw Agent - Your AI Trading Decision Assistant*