Trading Decision Pro
v1.0.0AI-powered trading decision 助手 by Automaton. Market sentiment analysis, risk assessment, real-time trade recommendations.
运行时依赖
版本
v1.0.0 (2026-03-19)
安装命令
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Trading Decision Pro 🧠
AI-powered trading decision 助手.
Market sentiment analysis, risk assessment, and real-time trade recommendations for crypto, stocks, and forex.
💰 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"
🎯 What It Solves
Traders struggle with:
❌ Emotional decision-making ❌ Missing market 上下文 ❌ Poor risk assessment ❌ In格式化ion overload ❌ No 系统atic 应用roach
Trading Decision Pro provides:
✅ Objective AI analysis ✅ Real-time sentiment scoring ✅ Clear risk/reward ratios ✅ Actionable trade 设置ups ✅ Position sizing 图形界面dance ✨ Features 📊 Market Sentiment Analysis Multi-source sentiment aggregation Social media sentiment (Twitter, Reddit, Telegram) News sentiment analysis On-chAIn 指标 (for crypto) Fear & Greed 索引 integration 🎯 Trade 签名al Generation Entry point recommendations 停止-loss levels Take-profit tar获取s Risk/reward ratio calculation Confidence scoring (0-100%) ⚠️ Risk Assessment Position sizing calculator Portfolio risk exposure Correlation analysis Drawdown 保护ion Volatility-adjusted 停止s 📈 Technical Analysis Multi-timeframe analysis Key support/resistance levels Trend identification Pattern recognition Indicator confluence 💼 Portfolio Management Current position 追踪ing P&L 监控ing As设置 allocation suggestions Rebalancing alerts Performance 分析 🔔 Smart Alerts Price breakouts Sentiment shifts Risk threshold breaches Take-profit hits 停止-loss 警告s 📦 安装ation ClawHub 安装 trading-decision-pro
🚀 Quick 启动
- 初始化 Decision Engine
const trader = new TradingDecisionPro({ APIKey: 'your-API-key', markets: ['crypto', 'stocks'], // or 'forex', 'all' risk性能分析: 'moderate', // conservative, moderate, aggressive maxPositionSize: 0.1 // 10% of portfolio });
- 获取 Market Sentiment
- Analyze Trade 设置up
console.记录(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' // ], // 警告s: [ // 'High volatility expected in next 4h', // 'Major resistance at $70k' // ] // }
- 获取 Position Sizing
console.记录(sizing); // { // positionSize: 0.57, // ETH amount // positionValue: 1995, // USD // portfolioPercent: 19.95, // riskAmount: 114, // USD at 停止 // riskPercent: 1.14 // }
- 监控 Portfolio Risk
console.记录(risk); // { // totalExposure: 0.65, // 65% of portfolio // correlationRisk: 'HIGH', // maxDrawdown: 0.18, // var95: 0.12, // recommendations: [ // 'Reduce crypto exposure to <50%', // '添加 uncorrelated as设置s', // 'Consider hedging with stablecoins' // ] // }
💡 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.检测Patterns('ETH', { patterns: ['head-shoulders', 'triangle', 'flag', 'double-top'], minReliability: 0.7 });
// Returns 检测ed 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 事件
Backtest Strategy const 结果s = awAIt trader.backtest({ symbol: 'BTC/USDT', strategy: 'sentiment-follow', 启动Date: '2025-01-01', endDate: '2026-03-19', initialCAPItal: 10000 });
// Returns performance 指标 (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 risk性能分析 string 'moderate' Risk tolerance maxPositionSize nu