trading-strategist

What this skill does

# 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
- TA formulas: See [references/ta_formulas.md](references/ta_formulas.md)
- Sentiment interpretation: See [references/sentiment_guide.md](references/sentiment_guide.md)

## Scripts
- `scripts/calculate_ta.py`: Python script for TA indicator calculations
- `scripts/fetch_binance.py`: Helper for Binance API calls</content>
<parameter name="filePath">./skills/trading-strategies/SKILL.md