qlib VS etfwatch

Compare qlib vs etfwatch 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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etfwatch

ETFWatch is a small portfolio ticker written in Swift with live data from L&S Exchange (used by TradeRepublic). (by exAphex)
Portfolio etf Investment traderepublic
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qlib etfwatch
53 1
14,161 7
1.0% -
6.6 0.0
6 days ago almost 3 years ago
Python Swift
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.

etfwatch

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

What are some alternatives?

When comparing qlib and etfwatch you can also consider the following projects:

zipline - Zipline, a Pythonic Algorithmic Trading Library

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

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

pyEX - Python interface to IEX and IEX cloud APIs

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.

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

QuantitaveFinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).

tdameritrade - Python interface to TD Ameritrade (https://developer.tdameritrade.com)

k8s-support - Setup for the kubernetes systems to control and run all the MLab nodes around the world

qlib vs zipline qlib vs awesome-quant qlib vs quant-trading qlib vs PyPortfolioOpt qlib vs bulbea qlib vs pyEX qlib vs dwx-zeromq-connector qlib vs financial-machine-learning qlib vs QuantitaveFinanceExamplesPy qlib vs tdameritrade qlib vs k8s-support