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)
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition. (by stefan-jansen)
FinancePy | machine-learning-for-trading | |
---|---|---|
97 | 224 | |
2,385 | 14,836 | |
2.6% | 2.6% | |
7.8 | 0.0 | |
about 2 months ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | - |
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.
FinancePy
Posts with mentions or reviews of FinancePy.
We have used some of these posts to build our list of alternatives
and similar projects.
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 FinancePy and machine-learning-for-trading you can also consider the following projects:
alphalens - Performance analysis of predictive (alpha) stock factors
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
gs-quant - Python toolkit for quantitative finance
SDV - Synthetic data generation for tabular data