tessa VS Empyrial

Compare tessa vs Empyrial and see what are their differences.

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tessa Empyrial
1 7
36 869
- -
6.3 8.1
7 months ago 3 months ago
Python Python
MIT License 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.

tessa

Posts with mentions or reviews of tessa. 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 tessa 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

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

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

option-pricer - Option pricing using Black-Scholes model, Bachelier model, Binomial Trees and Monte Carlo simulation under different stochastic processes

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

MarketDataRec - 用C++开发的跨平台的基于ctp api的交易程序,可以实现在云服务器连续自动运行,无需手动干预,微信监控实时通知,接触不到电脑也可随时了解交易行情动态,数据文件自动压缩上传百度网盘,熟悉无锁ringbuffer的使用,尽可能降低延迟。

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