Contribution activity and bus factor of wassname/rl-portfolio-management

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Active 🚀

Active contributions

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 5 Jul, 2023 to 5 Oct, 2023

Final time range – from 5 Apr, 2024 to 5 Jul, 2024

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

Data calculated on 5 Jul, 2024

Bus factor of wassname/rl-portfolio-management

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The wassname/rl-portfolio-management repository has a bus factor of 1.

High risk, a lot of knowledge concentrated in a few people

Bus factor was measured on 14 Aug 2024

Repository summary

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