交易决策助手

Name: 交易决策助手
Rating: 5 (4460 reviews)
Author: Automaton

trading-decision-pro-automaton

by Automaton

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

4.5k行业场景未扫描2026年3月23日

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

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

📊 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

Tier	Price	Features
Basic	$39	Sentiment 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

GitHub: https://github.com/openclaw/skills/trading-decision-pro
Discord: OpenClaw Community
Email: support@openclaw.ai

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

交易决策助手

安装

文档

Trading Decision Pro 🧠

🎯 What It Solves

✨ Features

📊 Market Sentiment Analysis

🎯 Trade Signal Generation

⚠️ Risk Assessment

📈 Technical Analysis

💼 Portfolio Management

🔔 Smart Alerts

📦 Installation

🚀 Quick Start

1. Initialize Decision Engine

2. Get Market Sentiment

3. Analyze Trade Setup

4. Get Position Sizing

5. Monitor Portfolio Risk

💡 Advanced Usage

Multi-Timeframe Analysis

Pattern Recognition

News Impact Analysis

Backtest Strategy

🔧 Configuration

📊 API Methods

getSentiment(symbol)

analyzeTrade(tradeSetup)

calculatePosition(params)

getPortfolioRisk(positions)

multiTimeframeAnalysis(symbol, options)

detectPatterns(symbol, options)

analyzeNewsImpact(symbol, options)

backtest(strategy, options)

getAlerts()

setAlert(params)

📁 File Structure

💰 Pricing

📝 Changelog

v1.0.0 (2026-03-19)

⚠️ Risk Disclaimer

📄 License

🙏 Support

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评论

`getSentiment(symbol)`

`analyzeTrade(tradeSetup)`

`calculatePosition(params)`

`getPortfolioRisk(positions)`

`multiTimeframeAnalysis(symbol, options)`

`detectPatterns(symbol, options)`

`analyzeNewsImpact(symbol, options)`

`backtest(strategy, options)`

`getAlerts()`

`setAlert(params)`