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analytics

QuantInvestStrats: Data Driven Investing

Get data visualization and performance reporting with QuantInvestStrats, a Python package for founders in finance and asset management.
580 stars63 forksPythonQuality 8/10Updated 7/13/2026100% 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

Install / run
pip install quantinveststrats
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
Quick start
  1. 1Import the library in your Python script with `import quantinveststrats as qis`
  2. 2Load your financial data into a Pandas DataFrame, for example using `data = qis.load_data('stock_prices.csv')`
  3. 3Use `qis.plot_returns(data)` to visualize the returns of your investment
  4. 4Run `qis.performance_report(data)` to generate a performance report for your investment
  5. 5Customize your report by passing additional arguments to `qis.performance_report()`, such as `qis.performance_report(data, risk_free_rate=0.02)`
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

Topics

asset-management
data-analysis
data-visualization
investment-analysis
performance-attribution
portfolio-optimization
portfolio-risk-management
python
quantitative-finance
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

7
top-level files
3
folders
148.5M
repo size
MIT
license
Key files
README.md
File tree
.github/
notebooks/
qis/
.gitattributes
.gitignore
CHANGELOG.md
LICENSE.txt
MANIFEST.in
pyproject.toml
README.md
Quick Actions
Details
Creator
ArturSepp
Language
Python
Category
analytics
Published
12/30/2022

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