Statmetrics-Android VS Empyrial

Compare Statmetrics-Android vs Empyrial and see what are their differences.

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Statmetrics-Android Empyrial
4 7
6 864
- -
0.0 8.1
almost 2 years ago 3 months ago
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.

Statmetrics-Android

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

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 Statmetrics-Android and Empyrial you can also consider the following projects:

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

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

goplan-app - An intuitive portfolio mangaer !

quantstats - Portfolio analytics for quants, written in Python

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

alphalens - Performance analysis of predictive (alpha) stock factors

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

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]

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