FinancePy VS machine-learning-for-trading

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

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FinancePy machine-learning-for-trading
97 224
1,957 12,080
- -
8.6 0.0
about 1 month ago 20 days 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.

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.

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub helps you find the best software and product alternatives
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