Deep-Learning-Machine-Learning-Stock VS machine-learning-for-trading

Compare Deep-Learning-Machine-Learning-Stock vs machine-learning-for-trading and see what are their differences.

Deep-Learning-Machine-Learning-Stock

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock] (by LastAncientOne)
Deep Learning Machine Learning stock-price-prediction features-extraction financial-engineering Prediction feature-engineering feature-extraction feature-selection stock-data stock-trading stock-analysis stock-prices stock-market stock-prediction Algorithms Data Science Trading technical-analysis neural-network

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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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Deep-Learning-Machine-Learning-Stock machine-learning-for-trading
5 224
792 11,797
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10.0 1.1
about 1 year ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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.

Deep-Learning-Machine-Learning-Stock

Posts with mentions or reviews of Deep-Learning-Machine-Learning-Stock. 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 Deep-Learning-Machine-Learning-Stock and machine-learning-for-trading you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

SDV - Synthetic data generation for tabular data

DataScienceProjects

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

thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis

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

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

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

Astock - Astock

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

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

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

Deep-Learning-Machine-Learning-Stock vs tsfresh machine-learning-for-trading vs SDV Deep-Learning-Machine-Learning-Stock vs DataScienceProjects machine-learning-for-trading vs Mad-Money-Backtesting Deep-Learning-Machine-Learning-Stock vs thesis_undergrad machine-learning-for-trading vs documentation Deep-Learning-Machine-Learning-Stock vs bulbea machine-learning-for-trading vs zero-to-mastery-ml Deep-Learning-Machine-Learning-Stock vs Astock machine-learning-for-trading vs cryptocurrency-price-prediction Deep-Learning-Machine-Learning-Stock vs FeatureHub machine-learning-for-trading vs TTM