quick-stats

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.

Arguments

• $0 = symbol (e.g., SBIN, RELIANCE). Default: SBIN
• $1 = exchange. Default: NSE
• $2 = interval. Default: D

Instructions

Generate a single code block the user can paste into a Jupyter cell or run as a script. The code must:

1. Fetch data from OpenAlgo (or DuckDB if user provides a DB path, or yfinance as fallback)
2. Use TA-Lib for EMA 10/20 crossover (never VectorBT built-in)
3. Clean signals with ta.exrem() (always .fillna(False) before exrem)
4. Use Indian delivery fees: fees=0.00111, fixed_fees=20
5. Fetch NIFTY benchmark via OpenAlgo (symbol="NIFTY", exchange="NSE_INDEX")
6. Print a compact results summary: