quick-stats

SKILL.md

Inline backtest runner for Indian equities with EMA crossover strategy and benchmark comparison.

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)

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:

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 (symbol="NIFTY", exchange="NSE_INDEX")

Print a compact results summary: