quick-stats

Q: How do I install quick-stats?

Run npx skills add https://github.com/marketcalls/vectorbt-backtesting-skills --skill quick-stats in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quick-stats/ (personal) or .claude/skills/quick-stats/ (project).

by marketcalls

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.

Installs: 2K
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

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

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads quick-stats automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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

FAQ

What does the quick-stats skill do?

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.

How do I install quick-stats?

Run npx skills add https://github.com/marketcalls/vectorbt-backtesting-skills --skill quick-stats in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/quick-stats/ (personal) or .claude/skills/quick-stats/ (project).

Which AI agents can use quick-stats?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is quick-stats safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains quick-stats?

It is published by marketcalls in marketcalls/vectorbt-backtesting-skills. It has 2,029 recorded installs.