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Why wassname/rl-portfolio-management is active?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 10 Feb, 2023 to 13 May, 2023

Final time range – from 11 Nov, 2023 to 10 Feb, 2024

Additions and deletions stats are not available for this repository due to GitHub API limitations.

Data calculated on 10 Feb, 2024

Summary of wassname/rl-portfolio-management

The GitHub repository wassname/rl-portfolio-management is a project that applies reinforcement learning to portfolio management. This repository is primarily coded in Python and includes a set of algorithms for constructing trading models.

Here's a brief overview of the repository:

  • Repository Name: wassname/rl-portfolio-management
  • Main Language: Python
  • Project Purpose: The project aims to make use of the reinforcement learning methodology in the field of portfolio management. This includes trading multiple cryptocurrencies like Bitcoin.
  • Algorithms: Several algorithms are used to develop the trading models, including PPO (Proximal Policy Optimization), A3C (Asynchronous Advantage Actor-Critic), and DDPG (Deep Deterministic Policy Gradient).

The project is structured in a way to apply reinforcement learning techniques for managing portfolios by maximising future profits using control theory and natural policy gradient methods.

This repository may be of interest to individuals with a background in finance, trading or machine learning, as it represents an intersection of these fields. However, some understanding of reinforcement learning and portfolio management concepts would be needed to fully understand and use this repository.

Markdown Formatted:

- **Repository Name**: wassname/rl-portfolio-management - **Main Language**: Python - **Project Purpose**: Application of reinforcement learning in portfolio management - **Algorithms Used**: PPO, A3C, and DDPG - **Relevance**: Useful for individuals interested in finance, trading, and machine learning

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