Activity of 51bitquant/howtrader repository

Inactive 🧊

Significant drop in contribution activity

Why 51bitquant/howtrader is inactive?

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

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 51bitquant/howtrader 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

Summary of 51bitquant/howtrader

The GitHub repository 51bitquant/howtrader belongs to the user 51bitquant. The main language used in the implementation of this repository is Python. The repository primarily serves as a platform for individuals interested in coding and trading to understand and explore different strategies and concepts.

The repository contains a significant amount of content which includes source codes and files focused on different trading strategies, complete with explanation and comments. It has various folders for different topics like Crawler, Strategies, and Python basics, making it easy for even beginners to navigate through the topics. Also, each folder contains several python (.py) files related to that topic.

One significant feature about this repository is its interactive manner of presenting information. Most of the python files in the repository are well-documented, which makes it easier for users to understand the logic even if they are non-technical.

To summarize, 51bitquant/howtrader is a comprehensive and insightful repository for anyone who is interested in understanding trading strategies and wants to explore or start writing their trading bots. The codes in the repository are simple, well-structured and informative.

Please note, every bit of information I could extract is based on the currently public information from the repository. For more specific queries or in-depth understanding, it is recommended to go through the repository and explore the code files individually or contact the owner directly.

Please make sure to follow any licensing or usage guidelines provided by the repository owner when using the material in the repository.