trading-strategist

This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools. Use the scripts/calculate_ta.py script to compute indicators from historical data. Combine TA signals, price action, and sentiment score to recommend: → Fetch ETH data, calculate TA, get sentiment, output strategy. → Use longer history, focus on swing signals. - Binance Market Data : Real-time price, volume, and historical klines from Binance API - Technical Analysis (TA) : Calculated indicators including SMA, RSI, MACD, Bollinger Bands, Stochastic, and more - Market Sentiment : Aggregated sentiment scores from popular crypto RSS feeds - 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 - Buy/Sell/Hold signals - Entry/exit points - Risk management (stop-loss, position sizing) - Timeframes (swing, day trading) - Always include stop-loss recommendations - Suggest position sizes (1-5% of capital) - Warn about volatility and leverage risks - Note: Not financial advice - TA formulas: See references/ta_formulas.md - Sentiment interpretation: See references/sentiment_guide.md - scripts/calculate_ta.py : Python script for TA indicator calculations - scripts/fetch_binance.py : Helper for...