Quick Stats Agent Skill

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.

463 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

183

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/marketcalls/vectorbt-backtesting-skills --skill quick-stats

The instruction itself

3 sections, as written by the author

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 OpenAlgo ta for EMA 10/20 crossover by default (never VectorBT built-in); only use TA-Lib if the user explicitly says "talib"/"TA-Lib"
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:

Symbol: SBIN | Exchange: NSE | Interval: D
Strategy: EMA 10/20 Crossover
Period: 2023-01-01 to 2026-02-27
Fees: Delivery Equity (0.111% + Rs 20/order)
-------------------------------------------
Total Return:    45.23%
Sharpe Ratio:    1.45
Sortino Ratio:   2.01
Max Drawdown:   -12.34%
Win Rate:        42.5%
Profit Factor:   1.67
Total Trades:    28
-------------------------------------------
Benchmark (NIFTY): 32.10%
Alpha:           +13.13%

Explain key metrics in plain language for normal traders
Show equity curve plot using Plotly (template="plotly_dark")

Example Usage

/quick-stats RELIANCE

/quick-stats HDFCBANK NSE 1h

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How to use it

Copy the folder

Take marketcalls/quick-stats from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.