gs-quant
Python toolkit for quantitative finance (by goldmansachs)
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition. (by stefan-jansen)
gs-quant | machine-learning-for-trading | |
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98 | 224 | |
8,991 | 15,029 | |
3.5% | 1.8% | |
8.7 | 0.0 | |
3 days ago | 10 months ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
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.
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. The last one was on 2024-06-29.
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Goldman Sachs Python toolkit for quantitative finance
This is bizarrely over engineered?
https://github.com/goldmansachs/gs-quant/blob/51a7ff1afb722c...
- gs-quant: NEW Derivatives and Hedging - star count:2095.0
- gs-quant: NEW Derivatives and Hedging - star count:1942.0
- gs-quant: NEW Derivatives and Hedging - star count:1768.0
machine-learning-for-trading
Posts with mentions or reviews of machine-learning-for-trading.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-25.
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10678.0
- How to backtest common strategy / filters in bulk?
- Machine Learning for Trading: Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading. Courses - star count:10565.0
What are some alternatives?
When comparing gs-quant and machine-learning-for-trading you can also consider the following projects:
fastquant - fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
resistance - Pre-crisis Risk Management for Personal Finance
SDV - Synthetic data generation for tabular data
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data