Contribution activity and bus factor of jesse-ai/jesse

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Active 🚀

Active contributions

Why jesse-ai/jesse 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

From 2 to 14 commits per week

600%

From 21 to 291 additions per week

1286%

From 13 to 160 deletions per week

1131%

Data calculated on 14 Aug, 2024

Bus factor of jesse-ai/jesse

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 jesse-ai/jesse repository has a bus factor of 2.

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

Bus factor was measured on 14 Aug 2024

Repository summary

The jesse-ai/jesse GitHub repository is an advanced, feature-rich, and powerful backtesting framework for cryptocurrency trading strategies. Written in Python, it is perfect for both algorithmic trading enthusiasts and those with a more casual interest in the crypto market.

Jesse supports many different types of trading strategies, allowing for ingenious solutions that are normally hidden among rigorous, complex coding requirements. Jesse was designed and optimized for trading digital assets particularly cryptocurrencies, offering extensive support for a multitude of cryptocurrency exchanges.

This repo contains well-documented code and comprehensive examples to get users started, and uses a detailed logging system which contributes to the success of back-tests and trading simulations.

In summary, Jesse is built to handle the unique demands of backtesting procedures and for developing algorithms for automated trading. It is a continuously evolving project, involving persistent upgrades to improve upon its functionality and usability.

Some key characteristics of Jesse:

Powerful Backtesting: Includes the ability to handle differing types of crypto trades such as limit order, market order, stop loss, etc.
Trading Strategies: Can fully define custom strategies including things like stop loss, take profit, and filters for entering and exiting trades.
Market Support: Allows trading on multiple markets simultaneously.
Plugin Support: It is extendable with support for custom plugins, including candle-based event triggers.

[Link to Jesse GitHub Repository](https://github.com/jesse-ai/jesse)

Please note this is a comprehensive overview, for specific implementation details and usage guides, it's recommended to look at the actual repository and documentation.