documentation VS mlfinlab

Compare documentation vs mlfinlab 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
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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. (by hudson-and-thames)
Machine Learning Trading Investing Research Finance Python algorithmic-trading quantitative-finance financial-machine-learning portfolio-management portfolio-optimization
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documentation mlfinlab
1 126
2 3,771
- 1.9%
6.2 0.0
12 days ago 7 months ago
Stylus Python
MIT License GNU General Public License v3.0 or later
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.

mlfinlab

Posts with mentions or reviews of mlfinlab. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing documentation and mlfinlab you can also consider the following projects:

finta - Common financial technical indicators implemented in Pandas.

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

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

ib_insync - Python sync/async framework for Interactive Brokers API

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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

tradestation-python-api - A Python Client library for the TradeStation API.

ta - Technical Analysis Library using Pandas and Numpy

tf-quant-finance - High-performance TensorFlow library for quantitative finance.

backtrader - Python Backtesting library for trading strategies

deepdow - Portfolio optimization with deep learning.

documentation vs finta mlfinlab vs bulbea documentation vs machine-learning-for-trading mlfinlab vs Riskfolio-Lib documentation vs ib_insync mlfinlab vs PyPortfolioOpt documentation vs Lean mlfinlab vs tradestation-python-api documentation vs ta mlfinlab vs tf-quant-finance documentation vs backtrader mlfinlab vs deepdow