qlib VS financial-machine-learning

Compare qlib vs financial-machine-learning and see what are their differences.

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. (by microsoft)
quantitative-finance Machine Learning stock-data Platform Finance algorithmic-trading Python Investment Quant quantitative-trading quant-dataset quant-models auto-quant Fintech research-paper Paper Research Deep Learning
Source Code
qlib.readthedocs.io
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financial-machine-learning

A curated list of practical financial machine learning tools and applications. (by firmai)
Quant quantitative-finance stock-market Finance Cryptocurrency trading-strategies algorithmic-trading Investment
Source Code
ml-quant.com
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qlib financial-machine-learning
53 111
14,161 5,533
1.0% -
6.6 9.4
6 days ago 7 days ago
Python Python
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.

qlib

Posts with mentions or reviews of qlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

financial-machine-learning

Posts with mentions or reviews of financial-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

What are some alternatives?

When comparing qlib and financial-machine-learning you can also consider the following projects:

zipline - Zipline, a Pythonic Algorithmic Trading Library

zvt - modular quant framework.

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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

Finance - Study resources for quantitative finance

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

OpenBBTerminal - Investment Research for Everyone, Everywhere.

pyEX - Python interface to IEX and IEX cloud APIs

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

qlib vs zipline financial-machine-learning vs zvt qlib vs awesome-quant financial-machine-learning vs zipline qlib vs quant-trading financial-machine-learning vs quant-trading qlib vs PyPortfolioOpt financial-machine-learning vs Finance qlib vs bulbea financial-machine-learning vs OpenBBTerminal qlib vs pyEX financial-machine-learning vs vectorbt