A "top" plugin handles "holes" in data. When a user opens a chart, your plugin should check the last available timestamp and automatically request missing historical data from your provider. 3. Error Handling
Building a custom data plugin utilizing AmiBroker's C/C++ Development Kit (ADK) allows for seamless integration of external data streams directly into the database engine. 1. Architecture of AmiBroker Data Plugins
All plugin types, regardless of the specific type, share a common foundation: three core export functions ( GetPluginInfo , Init , Release ) and a unique 4‑character ID (obtained from AmiBroker support) that prevents conflicts with other plugins.
A robust data plugin is more than just working code—it's about stability, speed, and reliability. Here are key strategies to ensure your plugin performs well even under heavy load. amibroker data plugin source code top
The plugin operates on an event-driven mechanism. AmiBroker invokes specific exported functions from your DLL to initialize connections, request historical data, and manage real-time streams. Key Operational Characteristics
While full commercial source codes are proprietary, the community has produced outstanding open-source reference implementations. When searching for , look for these patterns:
When a market tick arrives, the background thread parses the price data and pushes it into an internal circular queue. A "top" plugin handles "holes" in data
Summary
Handles state changes within the AmiBroker workspace environment, such as switching databases, changing tickers, or closing the application.
+--------------------+ +-------------------+ +---------------------+ | | Calls | | Polls | | | AmiBroker Engine | ------> | Custom Data DLL | ------> | External Data API | | | | | | (REST/WebSockets) | +--------------------+ +-------------------+ +---------------------+ Key Functional Responsibilities Error Handling Building a custom data plugin utilizing
// Real-time WebSocket thread DWORD WINAPI WebSocketThread(LPVOID lpParam)
The source code must implement the IDataPlugin interface. The "top" implementations avoid busy-waiting and use event-driven models.
void ConvertToEasternTime(SYSTEMTIME *utc)
// Parse incoming JSON tick if(new_tick_arrived)
Plugin developers also emphasize efficient JSON parsing: packets should be parsed "in-situ" (in memory) for performance. If there is a problem in parsing, all quotes for that packet could be dropped, so this "fail-fast" design is often intentional to maintain stability.