Creating Custom Indicators and Trading Bots in ATAS
The ATAS platform provides the ability to develop custom indicators and trading bots. This functionality allows users to extend the standard platform features, create unique analytical tools, and automate trading strategies tailored to their specific needs.
Programming Language
Custom indicators and trading bots in ATAS are developed using the C# programming language. To work with development tools, a basic understanding of object-oriented programming and experience with C# is required.
ATAS Documentation
All official and up-to-date documentation related to creating indicators and trading bots is available on the ATAS documentation website:
The documentation includes detailed information about:
- platform architecture;
- base classes and interfaces;
- indicator development examples;
- market data handling;
- limitations and development recommendations.
Indicator Examples on GitHub
To explore practical development examples, it is recommended to review the official ATAS GitHub repository containing sample indicators:
https://github.com/AtasPlatform/Indicators
This repository includes ready-to-use code samples that can be used as a reference or a starting point for your own custom solutions.
Indicators Developers Chat
There is a dedicated Telegram chat for communication with other developers, sharing experience, and discussing implementation details related to indicators and trading bots:
https://t.me/+Afb9R7MEDqY3MDUy
In this chat, you can ask questions about the documentation, discuss implementation approaches, and get advice from other ATAS users involved in development.
Important Information About Technical Support
ATAS technical support does not provide consultations regarding the creation, configuration, or debugging of custom indicators and trading bots.
For all development-related questions, it is recommended to:
- carefully study the official documentation;
- use the code examples from the GitHub repository;
- ask questions and clarify details in the developers Telegram chat.
Following this approach will help you better understand the platform capabilities and avoid common mistakes when developing custom solutions.
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