finance-courses VS TradeMaster

Compare finance-courses vs TradeMaster and see what are their differences.

finance-courses

Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks) (by z4ir3)

TradeMaster

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: (by TradeMaster-NTU)
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finance-courses TradeMaster
9 38
158 1,148
- 10.0%
2.7 8.9
5 months ago 2 months 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.

finance-courses

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

TradeMaster

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

What are some alternatives?

When comparing finance-courses and TradeMaster you can also consider the following projects:

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

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

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

fin-ml - This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

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