Quick Stats is a Data skill for Claude Code, published by marketcalls in vectorbt-backtesting-skills.
Quick Stats generates an inline EMA 10/20 backtest and prints key performance metrics for a symbol. Use it in a notebook cell or console when you want a fast summary without creating files.
Quick Stats is cataloged under Data on DirSkills. Quick Stats comes from a repository tagged agent-skills, backtesting, monte-carlo, optimization and python.
Documentation
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.
$0 = symbol (e.g., SBIN, RELIANCE). Default: SBIN$1 = exchange. Default: NSE$2 = interval. Default: DGenerate a single code block the user can paste into a Jupyter cell or run as a script. The code must:
This is the opening of the README. Read the full README on GitHub.
Slash commands named in this skill’s SKILL.md, listed in the order they first appear.
/quick-statsQuick Stats is one of 6 skills that DirSkills catalogs from marketcalls/vectorbt-backtesting-skills, the repository it ships in. Its siblings there include Optimize, Setup and Strategy Compare. Each one is a separate skill with its own page in this directory, installs the same way Quick Stats does, and is maintained by marketcalls in that same repository. The rest of the collection is listed on the marketcalls/vectorbt-backtesting-skills page.
Quick Stats ranks #700 by stars among the 762 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Quick Stats against them. Open each page to compare what they document and how they install.
Quick Stats is one of 6 skills cataloged on DirSkills from marketcalls/vectorbt-backtesting-skills.
Quick Stats is one of 762 Data skills cataloged on DirSkills, ranked #700 by stars among them.