quant-trading VS qlib

Compare quant-trading vs qlib and see what are their differences.

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 (by je-suis-tm)

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)
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quant-trading qlib
147 53
5,171 14,161
- 4.8%
0.0 6.6
about 1 year ago 3 days ago
Python Python
Apache License 2.0 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.

quant-trading

Posts with mentions or reviews of quant-trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-08.

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.

What are some alternatives?

When comparing quant-trading and qlib you can also consider the following projects:

optopsy - A nimble options backtesting library for Python

zipline - Zipline, a Pythonic Algorithmic Trading Library

Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.

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

WorldQuant_alpha101_code - Code implementation of the Quantigic 101 Formulaic Alphas

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

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

trading_strategies - my Algo Trading Strategies

pyEX - Python interface to IEX and IEX cloud APIs

financial-machine-learning - A curated list of practical financial machine learning tools and applications.

dwx-zeromq-connector - Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.