FinancePy Alternatives

Similar projects and alternatives to FinancePy

• DCF

  1 346 4.4 Python FinancePy VS DCF

  Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

• PyPortfolioOpt

  155 4,123 5.7 Jupyter Notebook FinancePy VS PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• gs-quant

  96 2,456 7.9 Jupyter Notebook FinancePy VS gs-quant

  Python toolkit for quantitative finance

  

• dcf-basic

  7 23 0.0 Python FinancePy VS dcf-basic

  Basic DCF model to quickly value public companies.

• alphalens

  83 3,075 0.0 Jupyter Notebook FinancePy VS alphalens

  Performance analysis of predictive (alpha) stock factors

  

• ruby-cff

  1 47 4.4 Ruby FinancePy VS ruby-cff

  A Ruby library for manipulating CITATION.cff files.

  

• okama

  5 185 9.0 Python FinancePy VS okama

  Investment portfolio and stocks analyzing tools for Python with free historical data

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• resistance

  1 607 2.1 Jupyter Notebook FinancePy VS resistance

  Pre-crisis Risk Management for Personal Finance (by codez0mb1e)

• machine-learning-for-trading

  224 11,797 1.1 Jupyter Notebook FinancePy VS machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

• notebooks

  1 132 10.0 Jupyter Notebook FinancePy VS notebooks

  Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. (by differential-machine-learning)