TradeMaster VS fin-ml

Compare TradeMaster vs fin-ml and see what are their differences.

TradeMaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: (by TradeMaster-NTU)

fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star. (by tatsath)
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TradeMaster fin-ml
38 53
1,182 711
12.6% -
8.9 0.0
3 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
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.

TradeMaster

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

fin-ml

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

What are some alternatives?

When comparing TradeMaster and fin-ml you can also consider the following projects:

Reinforcement_Learning - RL Algorithms with examples in Python / Pytorch / Unity ML agents

FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Business-Valuation-with-Discounted-Cash-Flow-In-Python - Stocks and Assets Valuation via Discounted Cash Flow with Python

Finding-Alpha-with-AI - A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI

alphalens - Performance analysis of predictive (alpha) stock factors

2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

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.

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

FinRL - FinRL: Financial Reinforcement Learning. 🔥