Activity of freqtrade/freqtrade-strategies repository

Active 🚀

Active contributions

Why freqtrade/freqtrade-strategies 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 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

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-strategies repository has a bus factor of 6.

Medium risk, some knowledge concentrated in a few people

Bus factor was measured on 14 Aug 2024

Summary of freqtrade/freqtrade-strategies

The freqtrade/freqtrade-strategies repository on GitHub is a collection of free, open-source trading bot strategies developed by the Freqtrade community. Freqtrade itself is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram. The strategies in the repository provide implementations for different trading ideas, serving as useful starting points for those who want to create their own custom trading strategies.

The repository includes a variety of strategy examples, ranging from simple EMA (exponential moving average) crosses to more complex strategies involving multiple indicators and protective measures.

To utilize the strategies, traders must have a working Freqtrade installation and then download the desired strategy file. Each strategy can then be backtested, optimized, and deployed for live trading using the Freqtrade suite.

The repository is, however, GPL-3.0 Licensed meaning that any derivative work must be open sourced under the same license. The strategies are not guaranteed to profit, and each user is responsible for backtesting and understanding the strategies they decide to use.

Remember that trading is risky and users should only risk what they are able to lose.