Contribution activity and bus factor of whittlem/pycryptobot

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Active 🚀

Active contributions

Why whittlem/pycryptobot 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 of whittlem/pycryptobot

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 whittlem/pycryptobot repository has a bus factor of 3.

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

Bus factor was measured on 14 Aug 2024

Repository summary

whittlem/pycryptobot is a Python based project on GitHub.

This GitHub repository hosts a Crypto Trading Bot that uses the Binance and Coinbase Pro API.

pycryptobot is designed to be simple and allows users to make automated trading with the Binance and Coinbase Pro. It facilitates buying and selling of cryptocurrency automatically based on your predefined settings.

The bot supports multiple trading pairs and it has features like granular trade and system configurations, logging, Telegram bot integration for notifications, etc.

It also includes testing features to simulate trades and backtest a trading strategy.

Please note that using this or any other trading bot doesn't guarantee profits and it does not advise which trades to make. It only takes care of performing trades based on the parameters set by the user. Always perform your own due-diligence while trading or using trading bots.

It’s always recommended to understand the source code of the bot if you plan to use such automated tools for trading.

Also, it’s good practice to test trading strategies extensively in simulation mode before moving to actual trading. This helps in understanding the strategy behaviour better.