Quick Stats

1---2name: quick-stats3description: Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.4argument-hint: "[symbol] [exchange] [interval]"5allowed-tools: Read, Bash, Glob, Grep6---7 8Generate 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.9 10## Arguments11 12- `$0` = symbol (e.g., SBIN, RELIANCE). Default: SBIN13- `$1` = exchange. Default: NSE14- `$2` = interval. Default: D15 16## Instructions17 18Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must:19 201. Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)212. **Use TA-Lib** for EMA 10/20 crossover (never VectorBT built-in)223. Clean signals with `ta.exrem()` (always `.fillna(False)` before exrem)234. Use **Indian delivery fees**: `fees=0.00111, fixed_fees=20`245. Fetch **NIFTY benchmark** via OpenAlgo (`symbol="NIFTY", exchange="NSE_INDEX"`)256. Print a compact results summary:26 27```28Symbol: SBIN | Exchange: NSE | Interval: D29Strategy: EMA 10/20 Crossover30Period: 2023-01-01 to 2026-02-2731Fees: Delivery Equity (0.111% + Rs 20/order)32-------------------------------------------33Total Return:    45.23%34Sharpe Ratio:    1.4535Sortino Ratio:   2.0136Max Drawdown:   -12.34%37Win Rate:        42.5%38Profit Factor:   1.6739Total Trades:    2840-------------------------------------------41Benchmark (NIFTY): 32.10%42Alpha:           +13.13%43```44 457. **Explain** key metrics in plain language for normal traders468. Show equity curve plot using Plotly (`template="plotly_dark"`)47 48## Example Usage49 50`/quick-stats RELIANCE`51`/quick-stats HDFCBANK NSE 1h`