Contribution activity and bus factor of freqtrade/freqtrade

Go to freqtrade/freqtrade (will open in new window) | Explore other repositories

Stable ✅

Constant contribution activity

Why freqtrade/freqtrade is stable?

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

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

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

Data calculated on 14 Aug, 2024

Bus factor of freqtrade/freqtrade

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 freqtrade/freqtrade repository has a bus factor of 7.

Low risk, knowledge is well distributed among the team members

Bus factor was measured on 14 Aug 2024

Repository summary

The freqtrade/freqtrade GitHub repository is the official source code of a free and open source crypto trading bot. It is written in Python and was created to support trading cryptocurrencies across different exchanges.

Here are some notable features of the Freqtrade software:

It supports various cryptocurrency exchanges thanks to the ccxt library.
It provides a clear and flexible strategy interface where you can define your own buy and sell strategies.
It offers a web and telegram interface which allows for monitoring and interaction.
It includes tools for backtesting your strategies against historical data.
The software can run in dry-run mode (simulating trades but not executing them) for testing.
It also provides detailed trading statistics and machine learning capabilities.

Please note that while the software is welcoming to new users, it should primarily be used by experienced traders who understand the risks involved in trading cryptocurrencies. The freqtrade community is active and research-based, priding itself on a data-driven approach.

The README and the documentation contains detailed instructions for installing, configuring, and running the software, and describes how you can contribute to the project.