trading-strategist
Data-driven cryptocurrency trading strategies combining Binance market data, technical indicators, and sentiment analysis.
- Integrates real-time and historical price/volume data from Binance with calculated TA indicators (SMA, RSI, MACD, Bollinger Bands, Stochastic)
- Aggregates market sentiment from crypto RSS feeds to inform buy/sell/hold signals and entry/exit recommendations
- Generates risk management guidance including stop-loss levels, position sizing (1-5% of capital), and volatility warnings
- Supports multiple timeframes and analysis depths, from quick ticker snapshots to extended 50-100 day historical analysis for swing trading
Trading Strategies Skill
This skill generates data-driven trading strategies for cryptocurrencies by integrating multiple data sources and analytical tools.
Core Components
- 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
Workflow
Step 1: Data Collection
- Fetch current ticker data from Binance API (
/api/v3/ticker/priceand/api/v3/ticker/24hr) - Retrieve historical klines (
/api/v3/klineswith 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.
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