machine-learning-for-trading VS documentation

Compare machine-learning-for-trading vs documentation 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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documentation

This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/ (by quantiacs)
Python Documentation Trading Data Science
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machine-learning-for-trading documentation
224 1
11,797 2
- -
1.1 6.2
10 months ago 9 days ago
Jupyter Notebook Stylus
- MIT License
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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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.

documentation

Posts with mentions or reviews of documentation. 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 documentation you can also consider the following projects:

SDV - Synthetic data generation for tabular data

finta - Common financial technical indicators implemented in Pandas.

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

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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

ib_insync - Python sync/async framework for Interactive Brokers API

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

Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

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

ta - Technical Analysis Library using Pandas and Numpy

fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

backtrader - Python Backtesting library for trading strategies

machine-learning-for-trading vs SDV documentation vs finta machine-learning-for-trading vs Mad-Money-Backtesting documentation vs mlfinlab machine-learning-for-trading vs zero-to-mastery-ml documentation vs ib_insync machine-learning-for-trading vs cryptocurrency-price-prediction documentation vs Lean machine-learning-for-trading vs TTM documentation vs ta machine-learning-for-trading vs fraud-detection-handbook documentation vs backtrader