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Time Series Performance Calculator

A Python package for calculating and analyzing time series performance metrics for financial data.

Features

  • Calculate annualized returns (CAGR method and days-based method)
  • Generate monthly returns tables
  • Create monthly cumulative returns tables
  • Calculate relative performance against benchmarks
  • Compute maximum drawdown metrics
  • Calculate annualized volatility
  • Generate performance tables with customizable formatting options

Installation

pip install timeseries-performance-calculator

Or install from source:

git clone https://github.com/nailen1/timeseries-performance-calculator.git
cd timeseries-performance-calculator
pip install -e .

Usage

# Code examples will be updated in future releases.
# Detailed usage examples and documentation will be provided in upcoming versions.

Note: This package is currently under development. More detailed usage examples and documentation will be provided in future updates.

Dependencies

  • fund_insight_engine
  • universal_timeseries_transformer
  • string_date_controller
  • canonical_transformer

License

MIT

Author

June Young Park (juneyoungpaak@gmail.com)

Metadata

Release files for timeseries-performance-calculator 0.3.11

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Release files / timeseries_performance_calculator-0.3.11.tar.gz

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