A collection of custom indicators, utilities, and configuration files for the Gekko cryptocurrency trading platform.
gekko-trading-stuff is a collection of custom tools, indicators, and configurations for the Gekko cryptocurrency trading platform. It provides additional technical indicators like TWIG and Fibonacci retracement, utilities for data export, and fixes for common platform issues. The project helps traders extend Gekko's functionality for more advanced algorithmic trading strategies.
Cryptocurrency traders and developers using the Gekko trading bot who need custom indicators, performance tweaks, or debugging utilities for their trading strategies.
It offers ready-to-use, community-tested extensions for Gekko, saving time on implementing custom indicators or resolving platform-specific issues. The tools are shared openly, allowing traders to enhance their strategies without reinventing the wheel.
A dumping ground for my files I use with this awesome crypto currency trading platform https://github.com/askmike/gekko
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Includes implementations like TWIG and Fibonacci retracement with config examples, saving time on developing indicators from scratch for Gekko strategies.
Provides specific workarounds for common issues, such as SQLite pragma changes on Windows 10 and memory optimization tips to resolve Node.js crashes.
Offers guidance on increasing backtesting efficiency through Node.js memory allocation tweaks and enabling historical candle data access via code modifications.
Reusable code snippets like CSV export tools allow for external data analysis, shared openly to help others extend Gekko without reinventing solutions.
The README is brief and assumes significant prior knowledge of Gekko, lacking detailed setup instructions or explanations for beginners.
As a personal collection, there are no guarantees of updates, compatibility with new Gekko versions, or bug fixes, posing reliability risks.
Described as a 'dumping ground', the code snippets may lack thorough testing, best practices, and consistent structure, requiring user adaptation.