Algo-Trading VS Deep-Learning-Machine-Learning-Stock

Compare Algo-Trading vs Deep-Learning-Machine-Learning-Stock and see what are their differences.

Algo-Trading

This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it! (by Manudecara)

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)
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Algo-Trading Deep-Learning-Machine-Learning-Stock
12 5
100 792
- -
0.0 10.0
over 2 years ago about 1 year ago
R Jupyter Notebook
MIT License 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.

Algo-Trading

Posts with mentions or reviews of Algo-Trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-05.

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.

What are some alternatives?

When comparing Algo-Trading and Deep-Learning-Machine-Learning-Stock you can also consider the following projects:

zvt - modular quant framework.

tsfresh - Automatic extraction of relevant features from time series:

ggshakeR - An analysis and visualization R package that works with publicly available soccer data

DataScienceProjects

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis

awesome-high-frequency-trading

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

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Astock - Astock

HFT-Orderbook - Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C

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