QuantitaveFinanceExamplesPy VS Empyrial

Compare QuantitaveFinanceExamplesPy vs Empyrial and see what are their differences.

QuantitaveFinanceExamplesPy

Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). (by mrtkp9993)
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QuantitaveFinanceExamplesPy Empyrial
1 7
38 856
- -
0.0 8.1
over 1 year ago about 2 months ago
Jupyter Notebook Python
GNU General Public License v3.0 only 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.

QuantitaveFinanceExamplesPy

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

We haven't tracked posts mentioning QuantitaveFinanceExamplesPy yet.
Tracking mentions began in Dec 2020.

Empyrial

Posts with mentions or reviews of Empyrial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-15.

What are some alternatives?

When comparing QuantitaveFinanceExamplesPy and Empyrial you can also consider the following projects:

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

quantstats - Portfolio analytics for quants, written in Python

alphalens - Performance analysis of predictive (alpha) stock factors

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.

senate-stock-watcher-data - Data repository of JSON files that are filed by US Senators on efdsearch.senate.gov where they must report their stock trades. This is the same data as on senatestockwatcher.com

goplan-app - An intuitive portfolio mangaer !

The-Oracle - 🤖 Predict the stock market with AI 用AI预测股票市场 [Moved to: https://github.com/ssantoshp/Beibo]

Finance - Study resources for quantitative finance

FinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]

Statmetrics-Android - Mobile App Solution for Portfolio Analytics and Investment Management

Beibo - 🤖 Predict the stock market with AI 用AI预测股票市场