devtools

QuantInvestStrats: Visualize and Report Financial Data in Python

Empower your fintech startup with Python tools for visualizing market data, generating performance reports, and analyzing quantitative investment strategies. Ideal for founders building data‑driven finance products.

From the repo · “Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python”

643 stars+1★ this week77 forksPythonGuide quality 9/10 · reviewed Oct 17Updated 10/21/2026100% free · open source
What it does

QuantInvestStrats provides data visualization and performance reporting for financial data, allowing founders to analyze and optimize their quantitative investment strategies

When to use it
  • •When you need to visualize and compare the performance of different investment portfolios
  • •When you want to analyze the effectiveness of a specific quantitative strategy
  • •When you need to generate reports for stakeholders on investment performance and risk
Ready-to-paste prompt
qis.plot_returns(qis.load_data('stock_prices.csv'))
Heads up: Make sure you have the required dependencies installed, including Pandas and Matplotlib, as specified in the QuantInvestStrats README
Saves to your device
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Claude Code
mkdir -p ~/.claude/skills/quantinveststrats && curl -fsSL https://workflowstacks.com/api/skills/quantinveststrats/claude-skill -o ~/.claude/skills/quantinveststrats/SKILL.md
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18
top-level files
7
folders
177.4M
source size
MIT
license
Key files
AGENTS.md
README.md
File tree
.githooks/
.github/
docs/
examples/
notebooks/
src/
tools/
.gitattributes
.gitignore
.readthedocs.yaml
.zenodo.json
AGENTS.md
CHANGELOG.md
CITATION.cff
CLAUDE.md
CONTRIBUTING.md
GOVERNANCE.md
LICENSE.txt
MANIFEST.in
paper.bib
paper.md
pyproject.toml
README.md
setup.py
Quick Actions
Details
Creator
ArturSepp
Language
Python
Category
devtools
Published
12/30/2022

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/quantinveststrats.svg)](https://workflowstacks.com/skills/quantinveststrats?utm_source=github&utm_medium=badge)
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