financial-machine-learning VS Finance

Compare financial-machine-learning vs Finance and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
financial-machine-learning Finance
111 2
5,522 188
- -
9.4 4.5
8 days ago over 1 year ago
Python
- Creative Commons Zero v1.0 Universal
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.

financial-machine-learning

Posts with mentions or reviews of financial-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

Finance

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

What are some alternatives?

When comparing financial-machine-learning and Finance you can also consider the following projects:

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.

Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理

zvt - modular quant framework.

quantstats - Portfolio analytics for quants, written in Python

zipline - Zipline, a Pythonic Algorithmic Trading Library

awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]

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

AWS-in-bullet-points - ☁️ AWS summary in bullet points

OpenBBTerminal - Investment Research for Everyone, Everywhere.

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

deep-finance - Datasets, papers and books on AI & Finance.

awesome-algorithmic-trading - A curated list of awesome algorithmic trading frameworks, libraries, software and resources