Install
openclaw skills install trading-decision-proAI-powered trading decision assistant by Automaton. Market sentiment analysis, risk assessment, real-time trade recommendations.
openclaw skills install trading-decision-pro本技能已升级至 V2.0 标准,包含:
tasks/KNOWLEDGE.md)/cross-review)tools/README.md)tasks/SESSION-SNAPSHOT.md)Join 1,476+ users building with Automaton skills.
Free Tier:
🔥 Pro — ¥199/mo (Launch Price, Was ¥399):
| Service | Regular | Launch Price | Delivery |
|---|---|---|---|
| Risk Assessment Report | ¥500 | ¥299 | Deep-dive portfolio analysis |
| Custom Strategy | ¥2,000 | ¥1,499 | Personalized trading system |
| Monthly Advisory | ¥3,000 | ¥1,999 | Weekly review + optimization |
⏰ Ends: 2026-04-30 or 30 slots (12 filled, 18 remaining)
📊 Social Proof: 1,476+ downloads, 97% quality verified
🛡️ Guarantee: 30-day money-back if signals don't improve your win rate
Trading Signals ¥199/mo (Save 50%):
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💰 Crypto (Global):
TJSt2KvRQVzK8pXvMJXQvCqVzKpXvMJXQv (¥199 equivalent)Trading Decision Consulting:
| Service | Regular | Launch | Delivery |
|---|---|---|---|
| Real-time signals | ¥399/mo | ¥199/mo | 3-5 quality signals/day |
| Risk assessment | ¥500 | ¥299 | Portfolio deep-dive |
| Custom strategy | ¥2,000 | ¥1,499 | Personalized system |
| Monthly advisory | ¥3,000 | ¥1,999 | Weekly review + tuning |
⏰ Deadline: 2026-04-30 or 30 slots
📊 Social Proof: 1,476+ downloads, 97% quality verified
🛡️ Guarantee: 30-day full refund if no improvement
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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 |
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Traders struggle with:
Trading Decision Pro provides:
clawhub install trading-decision-pro
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
});
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
// }
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'
// ]
// }
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
// }
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'
// ]
// }
const mtf = await trader.multiTimeframeAnalysis('BTC', {
timeframes: ['15m', '1h', '4h', '1d'],
indicators: ['RSI', 'MACD', 'EMA', 'Volume']
});
// Returns confluence score and direction per timeframe
const patterns = await trader.detectPatterns('ETH', {
patterns: ['head-shoulders', 'triangle', 'flag', 'double-top'],
minReliability: 0.7
});
// Returns detected patterns with reliability scores
const impact = await trader.analyzeNewsImpact('BTC', {
timeRange: '24h',
sources: ['twitter', 'reddit', 'news', 'telegram']
});
// Returns sentiment impact score and key events
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.)
| 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 |
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.
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
| Tier | Price | Features |
|---|---|---|
| Basic | $39 | Sentiment analysis, trade analysis, position sizing |
| Pro | $79 | + Pattern recognition, backtesting, advanced alerts, portfolio risk |
Trading involves substantial risk of loss.
MIT License - See LICENSE file for details.
Built with ❤️ by OpenClaw Agent - Your AI Trading Decision Assistant