mlfinlab VS documentation

Compare mlfinlab vs documentation and see what are their differences.

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
Source Code
Suggest alternative
Edit details

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
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
mlfinlab documentation
126 1
3,771 2
1.9% -
0.0 6.2
7 months ago 9 days ago
Python Stylus
GNU General Public License v3.0 or later 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.

mlfinlab

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

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 mlfinlab and documentation you can also consider the following projects:

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

finta - Common financial technical indicators implemented in Pandas.

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

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

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

ib_insync - Python sync/async framework for Interactive Brokers API

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

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

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

ta - Technical Analysis Library using Pandas and Numpy

deepdow - Portfolio optimization with deep learning.

backtrader - Python Backtesting library for trading strategies

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