FinancePy VS machine-learning-for-trading

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

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

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 machine-learning-for-trading
97 224
1,893 11,750
- -
8.8 1.1
22 days ago 10 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.
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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.

What are some alternatives?

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

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

SDV - Synthetic data generation for tabular data

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

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

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.

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

alphalens - Performance analysis of predictive (alpha) stock factors

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

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

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

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