quick-stats

Inline backtest runner for Indian equities with EMA crossover strategy and benchmark comparison. Generate a quick inline backtest and print stats. Do NOT create a file - output code directly for the user to run or execute in a notebook. Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must: /quick-stats RELIANCE /quick-stats HDFCBANK NSE 1h - Fetches OHLC data from OpenAlgo (with yfinance fallback) and runs a TA-Lib EMA 10/20 crossover strategy without file creation - Applies Indian delivery fees (0.111% + Rs 20 per order) and automatically fetches NIFTY benchmark for alpha calculation - Prints compact results summary including total return, Sharpe/Sortino ratios, max drawdown, win rate, and profit factor with plain-language metric explanations - Generates an interactive Plotly equity curve chart and accepts symbol, exchange, and interval as command arguments with sensible defaults (SBIN, NSE, daily) - $0 = symbol (e.g., SBIN, RELIANCE). Default: SBIN - $1 = exchange. Default: NSE - $2 = interval. Default: D - Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback) - Use TA-Lib for EMA 10/20 crossover (never VectorBT built-in) - Clean signals with ta.exrem() (always .fillna(False) before exrem) - Use Indian delivery fees : fees=0.00111, fixed_fees=20 - Fetch NIFTY benchmark via OpenAlgo (...