python-training VS FinanceOps

Compare python-training vs FinanceOps and see what are their differences.

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python-training FinanceOps
3 24
3,715 761
8.7% -
2.9 0.0
2 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

python-training

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

FinanceOps

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

What are some alternatives?

When comparing python-training and FinanceOps you can also consider the following projects:

alphalens - Performance analysis of predictive (alpha) stock factors

fastquant - fastquant β€” Backtest and optimize your ML trading strategies with only 3 lines of code!

MacroTrends-Scraping - Web scraping and managing data from MacroTrends

FinRL - FinRL: Financial Reinforcement Learning. πŸ”₯

intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists

FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. πŸ”₯ [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

FinMind - Open Data, more than 50 financial data. ζδΎ›θΆ…ιŽ 50 ε€‹ι‡‘θžθ³‡ζ–™(台肑為主)οΌŒζ―ε€©ζ›΄ζ–° https://finmind.github.io/

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. πŸ”₯ [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

data-science-portfolio - Data Science Portfolio website created with Jupyter notebooks and Mercury

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

ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.