mlfinlab VS bulbea

Compare mlfinlab vs bulbea 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
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bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling (by achillesrasquinha)
Deep Learning stock-market Machine Learning Finance sentiment-analysis quantitative-finance quantitative-trading stock-market-prediction stock-prediction python-library Prediction
Source Code
bulbea.readthedocs.io
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mlfinlab bulbea
126 97
3,763 1,969
1.7% -
0.0 0.0
7 months ago over 3 years ago
Python Python
GNU General Public License v3.0 or later 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.

mlfinlab

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

bulbea

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

What are some alternatives?

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

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

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

n4m-sentiment - Sentiment Analysis for your MaxMSP patches - made easy.

deepdow - Portfolio optimization with deep learning.

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

mlfinlab vs Riskfolio-Lib bulbea vs qlib mlfinlab vs PyPortfolioOpt bulbea vs stock-prediction-deep-neural-learning mlfinlab vs tf-quant-finance bulbea vs best-of-ml-python mlfinlab vs tradestation-python-api bulbea vs Deep_Learning_Machine_Learning_Stock mlfinlab vs documentation bulbea vs n4m-sentiment mlfinlab vs deepdow bulbea vs tuneta