resistance VS gs-quant

Compare resistance vs gs-quant and see what are their differences.

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resistance gs-quant
1 96
607 2,444
- 3.9%
2.1 7.9
8 months ago about 19 hours ago
Jupyter Notebook Jupyter Notebook
Creative Commons Zero v1.0 Universal Apache License 2.0
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.

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.

gs-quant

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

We haven't tracked posts mentioning gs-quant yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing resistance and gs-quant you can also consider the following projects:

fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

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

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]

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.

oisru - Repository for the Open Information Security Risk Universe

Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"

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

FinRL - FinRL: Financial Reinforcement Learning. 🔥