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trading-strategist

by @kukapayv1.0.0
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Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask

Cryptocurrency TradingBinance APITrading StrategiesAlgorithmic TradingTechnical AnalysisGitHub
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npx skills add kukapay/crypto-skills --skill trading-strategist
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name: trading-strategist description: Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask for trading advice, strategy recommendations, or analysis combining price data, TA, and sentiment for crypto assets like ETH, BTC, or altcoins.

Trading Strategies Skill

This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.

Core Components

  1. Binance Market Data: Real-time price, volume, and historical klines from Binance API
  2. Technical Analysis (TA): Calculated indicators including SMA, RSI, MACD, Bollinger Bands, Stochastic, and more
  3. Market Sentiment: Aggregated sentiment scores from popular crypto RSS feeds

Workflow

Step 1: Data Collection

  • Fetch current ticker data from Binance API (/api/v3/ticker/price and /api/v3/ticker/24hr)
  • Retrieve historical klines (/api/v3/klines with 30-100 days of data)
  • Aggregate sentiment using the market-sentiment skill

Step 2: TA Calculation

Use the scripts/calculate_ta.py script to compute indicators from historical data.

Step 3: Strategy Generation

Combine TA signals, price action, and sentiment score to recommend:

  • Buy/Sell/Hold signals
  • Entry/exit points
  • Risk management (stop-loss, position sizing)
  • Timeframes (swing, day trading)

Usage Examples

Basic Strategy Request

For ETH, generate a trading strategy based on current market data.

→ Fetch ETH data, calculate TA, get sentiment, output strategy.

Advanced Analysis

Analyze BTC with 50-day history, include sentiment, recommend swing trade.

→ Use longer history, focus on swing signals.

Risk Management

  • Always include stop-loss recommendations
  • Suggest position sizes (1-5% of capital)
  • Warn about volatility and leverage risks
  • Note: Not financial advice

References

Scripts

  • scripts/calculate_ta.py: Python script for TA indicator calculations
  • scripts/fetch_binance.py: Helper for Binance API calls ./skills/trading-strategies/SKILL.md

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安装量441
评分0.0 / 5.0
版本1.0.0
更新日期2026年3月16日
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创建2026年3月16日
最后更新2026年3月16日