finance-courses VS resistance

Compare finance-courses vs resistance and see what are their differences.

finance-courses

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks) (by z4ir3)
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finance-courses resistance
9 1
160 607
- -
2.7 2.1
5 months ago 9 months ago
Jupyter Notebook Jupyter Notebook
- 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.

finance-courses

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

resistance

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

What are some alternatives?

When comparing finance-courses and resistance you can also consider the following projects:

pyfolio - Portfolio and risk analytics in Python

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

gs-quant - Python toolkit for quantitative finance

FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

Open-Risk-Manual-PdfBooks - Collection of PdfBooks extracted from the Open Risk Manual

oisru - Repository for the Open Information Security Risk Universe

FinRL - FinRL: Financial Reinforcement Learning. 🔥

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