FinancePy VS resistance

Compare FinancePy vs resistance and see what are their differences.

FinancePy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. (by domokane)
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FinancePy resistance
97 1
1,830 610
- -
8.8 2.1
16 days ago 8 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FinancePy

Posts with mentions or reviews of FinancePy. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning FinancePy yet.
Tracking mentions began in Dec 2020.

resistance

Posts with mentions or reviews of resistance. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning resistance yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing FinancePy and resistance you can also consider the following projects:

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

gs-quant - Python toolkit for quantitative finance

dcf-basic - Basic DCF model to quickly value public companies.

pyfolio - Portfolio and risk analytics in Python

alphalens - Performance analysis of predictive (alpha) stock factors

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

ruby-cff - A Ruby library for manipulating CITATION.cff files.

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

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.