documentation VS machine-learning-for-trading

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

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
Source Code
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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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InfluxDB - Power Real-Time Data Analytics at Scale
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.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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documentation machine-learning-for-trading
1 224
2 11,845
- -
6.6 1.1
7 days ago 11 months ago
Stylus 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.

documentation

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

finta - Common financial technical indicators implemented in Pandas.

SDV - Synthetic data generation for tabular data

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.

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

ib_insync - Python sync/async framework for Interactive Brokers API

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

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

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

ta - Technical Analysis Library using Pandas and Numpy

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

backtrader - Python Backtesting library for trading strategies

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

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