Best Python Libraries/Packages for Finance and Financial Data Scientists [Risk Analysis & Time Series]

in #kr-steemit7 years ago

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Risk Analysis


  • pyfolio – pyfolio is a Python library for performance and risk analysis of financial portfolios. It works well with the Zipline open source backtesting library.

  • empyrical – Common financial risk and performance metrics. Used by zipline and pyfolio.

  • finance – Financial Risk Calculations. Optimized for ease of use through class construction and operator overload.

  • qfrm – Quantitative Financial Risk Management: awesome OOP tools for measuring, managing and visualizing risk of financial instruments and portfolios.

  • visualize-wealth – A library built in Python to construct, backtest, analyze, and evaluate portfolios and their benchmarks.

  • VisualPortfolio – This tool is used to visualize the performance of a portfolio

Time Series


  • ARCH – ARCH and other tools for financial econometrics in Python

  • statsmodels – Python module that allows users to explore data, estimate statistical models, and perform statistical tests.

  • dynts – A statistic package for python with emphasis on time series analysis. Built around numpy, it provides several back-end time series classes including R-based objects via rpy2.

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