A command-line cryptocurrency trading bot using Node.js and MongoDB for automated technical-analysis-based trading.
Zenbot is a command-line cryptocurrency trading bot built with Node.js and MongoDB that automates trading based on technical analysis indicators. It allows users to backtest strategies, paper trade with simulated balances, and execute live trades across multiple cryptocurrency exchanges. The bot helps traders implement automated strategies while providing risk management tools like stop orders.
Cryptocurrency traders and developers looking to automate their trading strategies using technical analysis. Suitable for those familiar with command-line tools who want to backtest, simulate, and deploy trading bots across various exchanges.
Zenbot offers a flexible, open-source alternative to proprietary trading bots with multi-exchange support, extensible plugin architecture, and comprehensive backtesting capabilities. Its modular design allows customization of strategies and exchange integrations, making it adaptable to different trading styles and risk preferences.
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Integrates with over 10 major exchanges like Binance and Kraken, enabling centralized trading across multiple platforms from a single setup.
Allows custom strategy development and exchange additions through plugins, making it highly adaptable for specific trading needs.
Tests strategies against historical market data to evaluate performance before live deployment, reducing risk through simulation.
Includes configurable stop orders and trailing profit stops to automate loss prevention and profit locking, as highlighted in the features.
The README warns it is no longer actively maintained, leading to potential security vulnerabilities, outdated dependencies, and unsupported exchanges.
Lacks a graphical user interface, requiring technical proficiency in terminal commands and configuration files, which can be daunting for non-developers.
Focuses solely on technical indicators without native support for other approaches like machine learning or external data feeds, restricting strategy diversity.
Requires Node.js and MongoDB installation, along with exchange API configurations, adding overhead and potential points of failure for deployment.