technical-analysis

# Technical Analysis Compute technical indicators using pandas-ta. Supports multi-symbol analysis and earnings data. ## Instructions > **Note:** If `uv` is not installed or `pyproject.toml` is not found, replace `uv run python` with `python` in all commands below. ```bash uv run python scripts/technicals.py SYMBOL [--period PERIOD] [--indicators INDICATORS] [--earnings] ``` ## Arguments - `SYMBOL` - Ticker symbol or comma-separated list (e.g., `AAPL` or `AAPL,MSFT,GOOGL`) - `--period` - Historical period: 1mo, 3mo, 6mo, 1y (default: 3mo) - `--indicators` - Comma-separated list: rsi,macd,bb,sma,ema,atr,adx (default: all) - `--earnings` - Include earnings data (upcoming date + history) ## Output Single symbol returns: - `price` - Current price and recent change - `indicators` - Computed values for each indicator - `risk_metrics` - Volatility (annualized %) and Sharpe ratio - `signals` - Buy/sell signals based on indicator levels - `earnings` - Upcoming date and EPS history (if `--earnings`) Multiple symbols returns: - `results` - Array of individual symbol results ## Interpretation - RSI > 70 = overbought, RSI < 30 = oversold - MACD crossover = momentum shift - Price near Bollinger Band = potential reversal - Golden cross (SMA20 > SMA50) = bullish - ADX > 25 = strong trend - Sharpe ratio > 1 = good risk-adjusted returns, > 2 = excellent - Volatility (annualized) = standard deviation of returns scaled to annual basis ## Examples ```bash # Single symbol with all indi...