AmiBroker calls GetQuotesEx to populate charts. This function must allocate and fill an array of Quotation structures.

Init() and Release() : Handle the setup and teardown of the plugin.

Store connection strings and API keys encrypted via CryptProtectData to avoid plain-text credentials in the registry.

case WM_INITDIALOG: LoadSettingsFromRegistry(); // Top plugins use Registry or JSON config break; case WM_COMMAND: SaveSettingsToRegistry(); break;

Go to File -> Database Settings -> Configure . Your plugin should appear in the "Data Source" dropdown. ❓ Frequently Asked Questions

Amibroker provides a powerful data plugin architecture that allows developers to create custom plugins to fetch and manage data from various sources. This guide provides an overview of the Amibroker data plugin development process, including the plugin architecture, data structures, and API.

This article provides a comprehensive guide to building a custom AmiBroker data plugin using C++. We will break down the AmiBroker Development Kit (ADK) architecture, review the essential source code components, and explore optimization techniques for handling real-time data ticks. 1. Core Architecture of AmiBroker Data Plugins

Compile and build your plugin using your preferred IDE. Make sure to link against the Amibroker SDK libraries.

Access the for the base source files and documentation.

To compile a stable plugin, you must configure a native C++ project that targets the standard Win32 ABI without managed code overhead. Prerequisites : Microsoft Visual Studio (Community Edition or higher). Language : C++ (ISO C++17 or C++20 standards recommended).