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trading-decision-pro-automaton

by Automaton

AI-powered trading decision assistant by Automaton. Market sentiment analysis, risk assessment, real-time trade recommendations.

View Chinese version with editor review

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/chenghaifeng08-creator/trading-decision-pro-automaton

文档

Trading Decision Pro 🧠

AI-powered trading decision assistant.

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

🎯 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

✨ 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

📦 Installation

bash
clawhub install trading-decision-pro

🚀 Quick Start

1. Initialize Decision Engine

javascript
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

javascript
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

javascript
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

javascript
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

javascript
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'
//   ]
// }

💡 Advanced Usage

Multi-Timeframe Analysis

javascript
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

javascript
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

javascript
const impact = await trader.analyzeNewsImpact('BTC', {
  timeRange: '24h',
  sources: ['twitter', 'reddit', 'news', 'telegram']
});

// Returns sentiment impact score and key events

Backtest Strategy

javascript
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.)

🔧 Configuration

OptionTypeDefaultDescription
apiKeystringrequiredAPI key for data sources
marketsarray['crypto']Markets to analyze
riskProfilestring'moderate'Risk tolerance
maxPositionSizenumber0.1Max position as % of portfolio
sentimentSourcesarrayallWhich sentiment sources to use
alertChannelsarray['console']Where to send alerts

📊 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.

📁 File Structure

code
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

💰 Pricing

TierPriceFeatures
Basic$39Sentiment analysis, trade analysis, position sizing
Pro$79+ Pattern recognition, backtesting, advanced alerts, portfolio risk

📝 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

⚠️ 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

📄 License

MIT License - See LICENSE file for details.

🙏 Support

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