This article explores the best resources, top source code examples, and the foundational knowledge required to develop high-performance AmiBroker data plugins. 1. What is an AmiBroker Data Plugin?
AmiBroker interacts exclusively with this thread. It must never block, or the charting UI will freeze.
For a high-performance plugin, one developer described his internal architecture as a jagged 2D-like array of a custom Quotation struct. This struct can be 40-bytes, 8-byte aligned, containing fields for Date/Time, Open, High, Low, Close, Volume, Open Interest, and auxiliary data for ticker "meta-data". amibroker data plugin source code top
lws_service(context, 50); // 50ms timeout
AmiBroker communicates with data plugins through a standard Windows Dynamic Link Library (DLL) interface. The plugin acts as a translator, converting raw data from your provider into a structure that AmiBroker's core engine can index and process. The ADK Interface Model This article explores the best resources, top source
Excellent starting points include the official ODBC/SQL plugin source code from AmiBroker, the community-developed Rtd_Ws_AB_plugin on GitHub, and the source code included in the AmiBroker Development Kit itself, which contains sample plugins for various tasks.
To build a plugin, you must use the official AmiBroker Development Kit (ADK). The ADK defines the structural contracts between the platform and your DLL. The core file is Plugin.h . AmiBroker interacts exclusively with this thread
INT_PTR CALLBACK ConfigDialogProc(HWND hDlg, UINT msg, WPARAM w, LPARAM l)
Select a data source that you want to connect to Amibroker. This could be a:
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AmiBroker is a preferred platform for quantitative developers due to its fast backtesting engine. However, the software relies entirely on external market data. While commercial data vendors offer built-in connectors, proprietary data feeds, niche crypto exchanges, or institutional APIs require a custom data plugin.