Most searches for "source code top" are driven by the need for real-time WebSocket or ZeroMQ integration. Here is a stripped-down example inspired by top GitHub repositories (modified for legality and clarity).
// Real-time WebSocket thread DWORD WINAPI WebSocketThread(LPVOID lpParam) struct lws_context_creation_info info; memset(&info, 0, sizeof(info)); info.port = CONTEXT_PORT_NO_LISTEN; info.protocols = protocols;struct lws_context *context = lws_create_context(&info); while(!g_shutdown) lws_service(context, 50); // 50ms timeout // Parse incoming JSON tick if(new_tick_arrived) QuoteEx q; q.dDateTime = current_time; q.dOpen = json_tick["price"]; q.dHigh = json_tick["price"]; q.dLow = json_tick["price"]; q.dClose = json_tick["price"]; q.ulVolume = json_tick["volume"]; // Push to AmiBroker via callback g_pDataSite->AddRealTimeQuote(&q);
Why this represents "top" source: It uses asynchronous lws_service, not blocking recv(). This ensures AmiBroker can request data simultaneously while the plugin ingests ticks.
Every robust AmiBroker data plugin source code follows a strict contract defined by AmiBroker SDK (Software Development Kit). The "top" plugins share common architectural pillars.
Overview
The Amibroker data plugin source code provides a set of APIs and interfaces for developers to create custom data plugins that can feed data into Amibroker. The plugins can be written in C++ or C# and use Amibroker's proprietary API.
Plugin Architecture
The Amibroker data plugin architecture consists of the following components:
Key Functions
The Amibroker data plugin source code provides several key functions that developers can use to create custom data plugins:
Plugin Types
Amibroker supports several types of data plugins:
Code Structure
The Amibroker data plugin source code typically consists of:
Example Code
Here's an example of a simple Amibroker data plugin written in C++:
#include <Amibroker/ABDataPlugin.h>
class MyDataPlugin : public CAbDataPlugin
public:
virtual HRESULT STDMETHODCALLTYPE GetQuote(BSTR symbol, VARIANT* quote) override
// Implement GetQuote function
virtual HRESULT STDMETHODCALLTYPE GetBar(BSTR symbol, int interval, VARIANT* bar) override
// Implement GetBar function
;
extern "C" __declspec(dllexport) HRESULT STDMETHODCALLTYPE AbPluginGetInstance(IAbDataPlugin** plugin)
*plugin = new MyDataPlugin();
return S_OK;
This example demonstrates a basic data plugin that implements the GetQuote and GetBar functions.
Top-level Source Code Files
The top-level source code files for Amibroker data plugins typically include: amibroker data plugin source code top
Challenges and Best Practices
When developing Amibroker data plugins, developers should be aware of the following challenges and best practices:
Overall, the Amibroker data plugin source code provides a powerful and flexible way to extend Amibroker's capabilities and connect to custom data feeds. By understanding the plugin architecture, key functions, and best practices, developers can create high-quality data plugins that meet their specific needs.
When evaluating "top" source code you find online, watch for these red flags:
If you can only implement 5 features to claim "top tier":
Would you like a code skeleton (C++ example) for an Amibroker plugin with these features?
A very specific request!
Amibroker is a popular technical analysis and trading platform, and its data plugin architecture allows developers to create custom plugins to fetch and manage data from various sources.
Here's a useful paper covering the Amibroker data plugin source code:
Amibroker Data Plugin Development Guide
Introduction
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.
Plugin Architecture
An Amibroker data plugin consists of a DLL (Dynamic Link Library) file that exports a set of functions. These functions are used by Amibroker to interact with the plugin and retrieve data. The plugin architecture is based on the following components:
Data Structures
Amibroker uses a set of data structures to represent financial data, including:
API
The Amibroker data plugin API provides a set of functions that must be implemented by the plugin developer. These functions include:
Example Plugin Source Code
Here's an example plugin source code in C++ that demonstrates a simple data plugin that reads data from a CSV file:
#include <Amibroker/Plugin.h>
// Define the plugin interface
extern "C"
__declspec(dllexport) int GetBar( const char *symbol, int period, int index, Bar *bar )
// Read data from CSV file
FILE *file = fopen("data.csv", "r");
if (file == NULL) return 0;
// Find the symbol and period
char line[1024];
while (fgets(line, 1024, file))
if (strstr(line, symbol) != NULL && strstr(line, period) != NULL)
// Parse the bar data
sscanf(line, "%d,%f,%f,%f,%f,%f", &bar->time, &bar->open, &bar->high, &bar->low, &bar->close, &bar->volume);
fclose(file);
return 1;
fclose(file);
return 0;
__declspec(dllexport) int GetQuote( const char *symbol, Quote *quote )
// Not implemented
return 0;
__declspec(dllexport) int GetSymbolInfo( const char *symbol, SymbolInfo *info )
// Not implemented
return 0;
__declspec(dllexport) int GetTicker( int index, char *ticker )
// Not implemented
return 0;
This example plugin provides a basic implementation of the GetBar function, which reads data from a CSV file.
Conclusion
Developing an Amibroker data plugin requires a good understanding of the plugin architecture, data structures, and API. This guide provides a useful overview of the development process, and the example plugin source code demonstrates a simple data plugin that reads data from a CSV file. With this information, you can create your own custom data plugins to fetch and manage data from various sources.
The primary resource for developers is the AmiBroker Development Kit (ADK). It contains the essential header files and C++ sample code needed to interface with AmiBroker's internal architecture.
Core Functions: Every plugin requires three standard functions: GetPluginInfo(), Init(), and Release().
Sample Projects: The ADK typically includes a Data_Template folder containing Plugin.cpp and Plugin.h, which you can use as a skeleton for your own project.
Compatibility: While originally built with Visual C++ 6.0, these samples are compatible with modern IDEs like Visual Studio and free packages like DevC++. 2. .NET SDK and Community Plugins
For developers who prefer C# or VB.NET, the AmiBroker .NET SDK simplifies the process by providing a wrapper around the complex C++ interface.
GitHub Repository: High-quality source code for a .NET-based data source can be found on the KriaSoft AmiBroker GitHub.
Key File: Look at DataSource.cs in the repository for an example of how to implement GetQuotes() to return price data to AmiBroker.
Ease of Use: This SDK handles multithreading and memory management, which are notoriously difficult in native C++ plugin development. 3. Specialty & Open-Source Projects
There are several niche repositories that provide source code for specific types of data connections:
Websocket-JSON Plugin: The Rtd_Ws_AB_plugin repository provides code for connecting to modern web-based data streams using Python and WebSockets.
ODBC/SQL Universal Plugin: If your data is in a database, AmiBroker provides a built-in ODBC plugin. While the source code for the plugin itself may be closed, the AFL scripts to interact with it are widely documented.
Python Integration: Some community members use Python scripts to download data and save it as ASCII files that AmiBroker then "watches," effectively acting as a lightweight data bridge. 4. Implementation Checklist
When reviewing source code for your plugin, ensure it addresses these critical performance areas:
Optimizing Real-Time Data Plugin for Multiple Tickers - Plug-ins
To understand how AmiBroker data plugin source code works, it helps to view it through the lens of a developer building a bridge between raw financial data and a high-speed charting engine The Quest for "Total Control": A Developer’s Story Most searches for "source code top" are driven
In the world of quantitative trading, data is everything. For many developers using
, the standard data feeds aren't enough—they need to connect to custom APIs, proprietary databases, or specialized brokers. This is where the AmiBroker Development Kit (ADK)
becomes the "holy grail" for those seeking "Total Control" over their data arrays. 1. Building the Foundation (The DLL) Our story begins in Microsoft Visual C++ (or even the free ). An AmiBroker data plugin is essentially a Win32 Dynamic Link Library (DLL)
. To make it talk to the main program, every plugin must expose three core functions: GetPluginInfo : Tells AmiBroker who you are (your plugin's name and ID).
: The handshake where the plugin wakes up and prepares its connections. : The graceful exit when the user closes the database. 2. The Bridge to Data A developer starts with a simple project template from the . They copy Plugin.cpp
into their workspace. In these files, they define how to handle "Quotes." The plugin acts as a translator: it takes incoming data (like a JSON stream from a WebSocket) and converts it into a format AmiBroker understands—specifically, an array of structures containing Date, Time, Open, High, Low, Close, and Volume. 3. Real-Time vs. Backfill Starting Data plug in project - Amibroker Forum
Creating an AmiBroker data plugin requires using the AmiBroker Development Kit (ADK)
, which provides the necessary C/C++ headers and sample source code to interface with the AmiBroker core engine.
Below is a structured "paper" or guide on setting up and coding a data plugin from scratch. 1. Getting Started: The AmiBroker Development Kit (ADK)
The ADK is the official package for C/C++ developers to build custom indicator or data plugin DLLs. Get the latest ADK from the AmiBroker Download Page Essential Files: The kit includes
, which contains the required data structures and function prototypes for the plugin interface. about.gitlab.com 2. Development Environment Setup You can use standard C++ environments like Visual Studio or even the free about.gitlab.com Project Type: Create a new Win32 Dynamic-Link Library (DLL) Configuration: Set the project to build a to your project's include path. Ensure the calling convention is for exported functions. about.gitlab.com 3. Key Functions to Implement
A data plugin must export specific functions that AmiBroker calls to retrieve quotes and configuration details. GetPluginInfo
Returns the plugin's name, version, and type (Data/Indicator).
The core function that provides price data (OHLCV) to AmiBroker when requested. SetTimeFrame Notifies the plugin of the current chart's time interval.
Handles events like database opening, closing, or workspace changes.
(Optional) Opens a dialog for user-specific settings like API keys or server addresses. 4. Basic Source Code Structure The most efficient way to start is using the Data_Template provided in the ADK archive. about.gitlab.com // Sample skeleton for GetPluginInfo GetPluginInfo( PluginInfo *pInfo ) { pInfo->nStructSize = PluginInfo ); pInfo->nType = // 1 for Data Plugin pInfo->nVersion = // version 1.0.0 strcpy( pInfo->szID, "MY_DATA_SOURCE" ); strcpy( pInfo->szName, "My Custom Data Feed" Use code with caution. Copied to clipboard 5. Installation and Testing Data Plugin creation - Plug-ins - AmiBroker Community Forum
For algorithmic traders and quantitative developers, AmiBroker remains one of the most powerful technical analysis platforms available. However, its true potential is unlocked not just by its formula language (AFL), but by its ability to connect to virtually any data source.
While many data vendors provide ready-made plugins, there are countless scenarios where a trader needs to build their own data connector—perhaps to integrate a proprietary database, a crypto exchange, or a niche broker API that lacks official support.
This article explores the top resources for AmiBroker data plugin source code, breaking down the essential SDKs, community repositories, and the structural logic you need to know to build a robust data feed. Why this represents "top" source: It uses asynchronous
The Amibroker SDK (available from the official website) provides a C/C++ interface. The "top" source code structures follow a strict state machine pattern: