machine-learning-for-trading VS FinancePy

Compare machine-learning-for-trading vs FinancePy and see what are their differences.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition. (by stefan-jansen)
Machine Learning Trading Investment Finance Data Science investment-strategies Artificial intelligence trading-strategies Deep Learning synthetic-data ml4t-workflow trading-agent
Source Code
ml4trading.io
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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)
risk Pricing risk-management asset-allocation Finance Valuation Python derivatives-pricing numba bonds Students fixed-income Derivatives Investment Currency credit
Source Code
financepy.com
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machine-learning-for-trading FinancePy
224 97
11,797 1,911
- -
1.1 8.6
10 months ago about 1 month 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.
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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.

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.

FinancePy

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

What are some alternatives?

When comparing machine-learning-for-trading and FinancePy you can also consider the following projects:

SDV - Synthetic data generation for tabular data

DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

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

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

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

gs-quant - Python toolkit for quantitative finance

zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.

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

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

alphalens - Performance analysis of predictive (alpha) stock factors

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

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

machine-learning-for-trading vs SDV FinancePy vs DCF machine-learning-for-trading vs Mad-Money-Backtesting FinancePy vs PyPortfolioOpt machine-learning-for-trading vs documentation FinancePy vs gs-quant machine-learning-for-trading vs zero-to-mastery-ml FinancePy vs dcf-basic machine-learning-for-trading vs cryptocurrency-price-prediction FinancePy vs alphalens machine-learning-for-trading vs TTM FinancePy vs ruby-cff