Amibroker Data Plugin Source Code Top High Quality -

This article is a 3,000-word technical deep dive into the ecosystem of AmiBroker plugin development. We will explore the top-tier source code structures, the non-negotiable API contracts, memory management secrets, and the leading open-source repositories that serve as the foundation for professional-grade data plugins.

To ensure your DLL is successfully recognized under the menu inside AmiBroker, you must export a set of mandatory API endpoints:

fclose(file); return 0;

The Amibroker data plugin API provides a set of functions that must be implemented by the plugin developer. These functions include:

Data Plugin - Design discussions - Plug-ins - Amibroker Forum amibroker data plugin source code top

Below is a complete, production-grade template for an AmiBroker Data Plugin written in native C++. It implements an on-demand historical data simulation that can be extended to bind with live WebSockets, local SQLite instances, or institutional REST endpoints.

What do you need (tick-by-tick, 1-minute, daily)?

QuoteEx quote; // Stack allocated - auto cleanup quote.dClose = 100.50; g_pDataSite->AddRealTimeQuote("msft", "e); // Plugin site copies data

#ifndef PLUGIN_H #define PLUGIN_H #include #include "AmiData.h" #define PLUGIN_ID 'C','U','S','T' // Unique 4-byte ID #ifdef __cplusplus extern "C" #endif __declspec(dllexport) int GetPluginInfo(struct PluginInfo *info); __declspec(dllexport) int Init(void); __declspec(dllexport) int Release(void); __declspec(dllexport) int GetQuotesEx(char *Ticker, int Period, int Format, int NRows, struct Quotation *Quotes, struct RecentInfo *RecentInfo); __declspec(dllexport) int Notify(struct PluginNotification *notification); #ifdef __cplusplus #endif #endif Use code with caution. Step 2: Metadata and Initialization Logic ( plugin.cpp ) This article is a 3,000-word technical deep dive

Copy the compiled .dll directly into the AmiBroker/Plugins directory.

Compile your project into a .dll file (e.g., CustomPlugin.dll ).

Always lock your internal data structures when reading or writing across threads. Use lightweight primitives such as CRITICAL_SECTION or std::shared_mutex (for read-heavy performance). Keep the critical section scope as brief as possible. Handling Missing Bars and Gaps

// Notify AmiBroker that new real-time data is waiting in the queue if (g_pAmiBrokerCallbackWindow) PostMessage(g_pAmiBrokerCallbackWindow, WM_USER_NEW_DATA, 0, 0); Use code with caution. These functions include: Data Plugin - Design discussions

static QuoteEx pool[10000]; static int idx = 0; return &pool[idx++ % 10000];

Before you start, make sure you have:

To help tailor a concrete template for your needs, could you share a few details?

AmiBroker is a highly optimized technical analysis and charting platform. Its speed and efficiency stem from its ability to process massive arrays of financial data in native memory. While AmiBroker provides built-in support for many standard data vendors, institutional traders, crypto enthusiasts, and proprietary trading desks often require integration with custom data sources.