In this guide, we will explore the structural "top" tier of AmiBroker data plugin development, breaking down the C++ SDK essentials and how to optimize your source code for real-time performance. 1. The AmiBroker Development Kit (ADK)
The core header file containing structure definitions like Quotations , StockInfo , and PluginInfo .
__declspec(dllexport) int GetPluginInfo(struct PluginInfo *pInfo) { pInfo->Name = "Custom SQL Connector"; pInfo->Vendor = "YourName Quant Lab"; pInfo->Type = 1; // 1 for Data Plugin return 1; } Use code with caution. GetQuotes amibroker data plugin source code top
A hub for veteran coders sharing snippets for specific data formats like JSON or Protocol Buffers. Conclusion
Implement a robust logging system that writes to the AmiBroker "Log" window using SiteContext->LogMessage() . This makes debugging connection drops much easier. In this guide, we will explore the structural
The "top" tier of plugins are those that handle both historical backfill and real-time "tick" data seamlessly.
This is the "engine room." When AmiBroker needs data for a chart, it calls GetQuotes . A high-performance plugin source code should implement here. Instead of hitting your API every time a user scrolls, the plugin should store data in a local buffer. 3. Real-Time Streaming vs. Backfill This makes debugging connection drops much easier
If you are searching for "top" source code examples, look for these architectural patterns:
Search for "AmiBroker Plugin C++" to find wrappers for modern APIs like Interactive Brokers (IBKR) or IQFeed.