Amibroker Data Plugin Source Code Top 【2025-2026】
These are non-negotiable for any plugin source to function correctly.
Note: While I cannot redistribute entire SDKs, searching for "AmiBroker Plugin SDK example GitHub" on Google or Codeberg yields these patterns under MIT/BSD licenses.
If you are selling or sharing the source code, add these:
If you are serious about "amibroker data plugin source code top", you have three pathways:
Final word from a 10-year veteran: The top source code isn't the one with the most features; it's the one that handles disconnections gracefully, uses zero polling, and survives a 10,000-tick-per-second stress test. Reverse-engineer the open-source examples, master the CRITICAL_SECTION, and you will build a plugin that rivals commercial offerings.
Disclaimer: AmiBroker is a registered trademark of AmiBroker.com. This article is for educational purposes. Always respect software licensing agreements when modifying or distributing plugin code.
AmiBroker data plugins are specialized Dynamic Link Libraries (DLLs) that bridge the software with external data sources like real-time brokers, proprietary databases, or web services. Core Architecture of a Data Plugin
To create a functional data plugin, you must implement specific exported functions defined in the AmiBroker Development Kit (ADK).
GetPluginInfo(): The most critical entry point. AmiBroker scans the Plugins folder and ignores any DLL that does not export this function. It provides metadata like the plugin name, vendor, and version.
GetQuotesEx(): The primary function for data retrieval. It handles the actual request for price bars (OHLCV) and allows for 64-bit date/time stamps and floating-point volume.
Notify(): Used by AmiBroker to signal events to the plugin, such as when a database is loaded or unloaded.
GetStatus(): An optional function that reports the connection health (e.g., "Connected", "Trying to connect...") to the AmiBroker UI. Top Source Code Examples
Development typically uses C++ (via the ADK) or .NET (C#/VB.NET). ODBC/SQL Universal Data/AFL plugins - AmiBroker
Developing a custom data plugin for AmiBroker allows you to stream real-time or historical market data from any source directly into the software's high-speed database. This is typically achieved using the AmiBroker Development Kit (ADK), which provides the necessary C/C++ headers and architectural guidelines. 1. Core Architecture and ADK
AmiBroker data plugins are regular Win32 Dynamic Link Libraries (.dll). To build one, you must implement specific exported functions that AmiBroker calls to communicate with your data source. Essential Exported Functions: Every plugin must include:
GetPluginInfo: Returns metadata like the plugin name, vendor, and a unique ID code to prevent conflicts.
Init() and Release(): Handle the setup and teardown of the plugin.
GetQuotesEx: The primary function for retrieving data. It handles 64-bit date/time stamps and floating-point values for volume and open interest.
Notify: Receives notifications from AmiBroker regarding database loads, unloads, or settings changes. 2. Available Source Code Templates
Developers can find starting points in several languages, depending on their expertise:
Native C/C++ (Official): The AmiBroker ADK is the standard tool. It includes a "Data_Template" project that can be compiled with Visual C++ 6.0 or newer versions like Visual Studio 2022.
C# / .NET SDK: For those preferring managed code, the AmiBroker .NET SDK on GitHub provides a wrapper that allows you to write plugins in C#.
Python Integration: While Python is often used for data scraping or "feeder" scripts (e.g., ami2py), a true data plugin typically requires a DLL bridge. 3. Implementation Patterns Modern plugins often use a two-part architecture:
A Connector: A script (often Python or Node.js) that fetches data via WebSockets or REST APIs from a broker or data provider.
The DLL Plugin: A compiled C++ or C# library that sits inside the AmiBroker/Plugins folder and feeds that data into the GetQuotesEx buffer. Starting Data plug in project - Amibroker Forum
The official resource for AmiBroker data plugin source code is the AmiBroker Development Kit (ADK). While the source code for proprietary plugins like Interactive Brokers is not publicly available, the ADK provides full example codes for various data plugins to help you build your own. Top Official & Community Resources
AmiBroker Development Kit (ADK): The definitive starting point for writing your own plugins. It includes C++ source code examples for plugins like QuoteTracker and QP2.
Access the ADK on GitLab for the base source files and documentation.
AmiBroker .NET SDK: If you prefer working with C# or .NET rather than native C++, this open-source SDK allows you to create data plugins more easily.
Explore the kriasoft AmiBroker .NET SDK on GitHub for full implementation details, including the DataSource.cs template.
WsRtd WebSocket Data Plugin: A modern, high-performance plugin that uses WebSocket-JSON communication for real-time data streaming.
Find the Rtd_Ws_AB_plugin source code on GitHub, which is broker-agnostic and supports historical backfilling.
Q2Ami Plugin: An open-source project on GitHub that provides headers like Plugin.h detailing the AmiBroker plugin interface structure. Quick Implementation Steps
Download the SDK: Start with either the official C++ ADK or the community .NET SDK.
Define Plugin Info: Update the GetPluginInfo() method with your plugin's metadata.
Implement Data Logic: Add your quote-fetching logic inside methods like GetQuotesEx() or the equivalent in your chosen language.
Install: Compile your code into a .dll and place it in the C:\Program Files\AmiBroker\Plugins directory.
Do you need help debugging a specific error in your plugin's C++ or .NET implementation? amibroker data plugin source code top
Download the Ib.dll (data plugin) source code - Plug-ins - AmiBroker Community Forum
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:
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.
Developing a high-performance data plugin for AmiBroker requires a deep understanding of its C++ SDK and the mechanics of real-time data streaming. AmiBroker’s architecture is designed for speed, and its plugin system allows developers to feed external market data—whether from a REST API, WebSocket, or local database—directly into the software’s database engine. The Foundation of an AmiBroker Plugin
The core of any AmiBroker data plugin is a dynamic link library (DLL) written in C++. AmiBroker provides a specialized Software Development Kit (SDK) that defines the required entry points and structures. The most critical component is the PluginInfo structure, which tells AmiBroker the name of the plugin, its version, and what capabilities it supports, such as intraday data, tick-by-tick updates, or backfill functionality.
To initiate communication, the plugin must export several mandatory functions. The GetPluginInfo function is the first point of contact, providing metadata to the host application. Once the user selects the data source in AmiBroker's settings, the Init function is called to set up resources, while Release handles the cleanup when the application closes or the data source is changed. Managing Data Streams and Backfills
The true complexity of a data plugin lies in how it handles the GetQuotes and GetExtraData functions. AmiBroker operates on a "pull" or "notification" basis. When the software needs to update a chart, it calls the plugin to see if new data is available. A robust plugin must implement an efficient buffering system. Since market data often arrives in bursts, the plugin should store incoming ticks in a thread-safe queue and then flush them to AmiBroker's memory structures during the update cycle.
Backfilling is another essential feature. When a user opens a new symbol, the plugin must recognize that historical data is missing and trigger a request to the data provider's server. This is typically handled through a background thread to ensure that the AmiBroker user interface remains responsive while the historical bars are being downloaded and processed. Performance and Stability Considerations
Because AmiBroker is a 32-bit or 64-bit multi-threaded application, thread safety is paramount. Developers must use mutexes or critical sections when accessing shared data structures to prevent crashes. Furthermore, memory management must be impeccable; leaking memory in a data plugin will eventually lead to system instability, especially during long trading sessions where millions of ticks may be processed.
Optimization is also key. Using efficient data structures for symbol lookups, such as hash maps, and minimizing the overhead of string manipulations can significantly improve the speed at which the plugin feeds data to the UI. A well-coded plugin not only delivers data accurately but does so with minimal CPU footprint, allowing the user to run complex AFL (AmiBroker Formula Language) scripts without lag. Conclusion
Creating a top-tier AmiBroker data plugin is a bridge between raw financial data and sophisticated technical analysis. By mastering the C++ SDK, implementing reliable threading models, and ensuring efficient data throughput, a developer can create a seamless experience for traders. While the initial development curve is steep, the resulting ability to integrate any data source into AmiBroker provides a powerful competitive edge in the world of automated trading and market analysis.
The entry point is a C/C++ DLL that exports specific functions AmiBroker calls during initialization. Here is the canonical structure of a high-performance plugin:
// Top-tier plugin structure #include "ABPlugin.h" // AmiBroker SDK Headers// Global handles for thread safety HANDLE g_hStopEvent; CRITICAL_SECTION g_csDataQueue;
// Required Export: GetPluginInfo ABAPI void __stdcall GetPluginInfo(PluginInfo *pInfo) pInfo->ulSize = sizeof(PluginInfo); pInfo->ulVersion = AB_PLUGIN_VERSION; pInfo->ulPluginType = PLUGIN_TYPE_DATA; strcpy(pInfo->szPluginName, "My Top Data Source");
// Required Export: CreateDataPlugin ABAPI IDataPlugin* __stdcall CreateDataPlugin() return new MyCustomDataPlugin();
Why this is "top" quality: Notice the CRITICAL_SECTION. Top developers ensure thread safety because AmiBroker calls the plugin from multiple threads (UI refresh, backfill, real-time tick gathering).
Summary
Findings
Recommendations (actionable)
Next steps I can perform (pick one)
Which next step do you want?
(Invoking related search-term suggestions.)
To develop an AmiBroker data plugin, you primarily need the AmiBroker Development Kit (ADK), which provides the necessary C++ headers and sample source code. For modern developers, there are also community-supported .NET alternatives that simplify the process. 1. Official AmiBroker Development Kit (ADK)
The official way to build a plugin is using the ADK, which includes the C++ API definitions and working examples for both indicator and data DLLs.
Latest Version: ADK 2.10a (supports 64-bit date/time and floating-point volume).
Core Files: Look for Plugin.cpp and Plugin.h within the Data_Template folder of the kit.
Documentation: The included ADK.html contains the full API specification for functions like GetQuotesEx.
Download: Available as a self-extracting ADK.exe or ADK.zip from the AmiBroker Download Page. 2. Open Source Examples & SDKs
If you prefer not to work directly in C++, several GitHub repositories provide modern wrappers and full plugin implementations: A AmiBroker Development Kit - GitLab
An AmiBroker data plugin serves as a high-performance bridge between the AmiBroker platform and external data providers. Using the AmiBroker Development Kit (ADK), developers can build DLL-based plugins (typically in C++ or .NET) to feed real-time quotes and historical data directly into the platform. Core Technical Features
An industry-standard AmiBroker data plugin implementation includes these essential functions and architectural features: How to use AmiBroker with Interactive Brokers TWS
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.
Title: Deconstructing the Architecture: A Guide to Amibroker Data Plugin Source Code
Introduction
In the ecosystem of technical analysis software, Amibroker stands out as a preferred platform for algorithmic traders due to its high-speed backtesting engine and flexible coding environment. However, the engine is only as good as the fuel it receives. This "fuel" comes in the form of market data, supplied via plugins. For developers and trading firms, accessing and understanding the "top" or most critical aspects of Amibroker data plugin source code is essential for creating custom data feeds, integrating with proprietary APIs, and ensuring low-latency execution. This essay explores the architecture, critical components, and significance of the source code behind Amibroker data plugins.
The Architecture of Connectivity
To understand the source code, one must first understand the interface. Amibroker does not simply read raw text files; it utilizes a plugin architecture based on a standardized interface definition (often utilizing C++). This allows third-party developers to create Dynamic Link Libraries (DLLs) that act as a bridge between a data vendor’s API and the Amibroker charting engine.
The "top" of the source code hierarchy refers to the entry points and the structural headers that define how the plugin communicates with the host application. The source code is typically structured around a set of callback functions and exported methods that Amibroker calls during its runtime cycle. These functions handle everything from the initial handshake (identifying the plugin name and version) to the granular retrieval of price ticks.
Critical Components of the Source Code
When examining the source code of a high-quality Amibroker plugin, three distinct layers of code stand out as the "top" priorities for developers:
Significance of Source Code Transparency These are non-negotiable for any plugin source to
The availability or development of custom source code offers significant advantages over off-the-shelf, "black-box" plugins.
Firstly, it allows for latency optimization. For high-frequency traders, the speed at which a tick arrives from the exchange to the chart is paramount. By accessing the source code, developers can strip away unnecessary logging or validation layers found in generic plugins, optimizing the "copy" operations in memory to achieve microsecond-level efficiencies.
Secondly, it enables proprietary integration. Many institutional traders use bespoke execution systems or internal data lakes. Standard plugins do not exist for these private systems. Writing the source code allows a firm to bridge their proprietary database directly into Amibroker, leveraging its analytical power without changing their data infrastructure.
Challenges and Best Practices
While the benefits are substantial, writing this source code is not without challenges. The primary difficulty lies in thread safety. Amibroker is multi-threaded, meaning it can request data for multiple symbols simultaneously. If the source code is not written with thread-safe logic (using mutexes or critical sections), race conditions can occur, leading to corrupted data or software crashes. Therefore, the "top" concern for any developer is ensuring that global variables and connection handles are managed safely across concurrent threads.
Conclusion
The "top" of Amibroker data plugin source code is not merely a collection of syntax; it is the architectural blueprint that dictates the fidelity and speed of market data analysis. By mastering the handshake layer, optimizing the request handlers, and ensuring precise data mapping, developers can transform Amibroker from a standard charting tool into a powerful, custom-tailored trading terminal. Whether for reducing latency or integrating proprietary data streams, the ability to navigate and engineer this source code remains a cornerstone of advanced quantitative trading.
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
Developing an AmiBroker data plugin requires a Win32 DLL that implements the standard AmiBroker Development Kit (ADK)
interface. A well-structured source code file (typically in C++ or C#) should prioritize performance and unique timestamp management to ensure smooth real-time charting. 1. Essential Plugin Interface Functions
Every AmiBroker DLL must export these core functions to be recognized as a valid plugin: GetPluginInfo() : Returns a PluginInfo structure containing the plugin's name, author, and a unique ID code (PIDCODE) to prevent conflicts with other plugins.
: Called when AmiBroker loads the DLL; used for initial setup or resource allocation. : Called when the DLL is unloaded to clean up resources. 2. Primary Data Handling Function
The heart of a data plugin is the function responsible for providing quotes to AmiBroker: GetQuotes() / GetQuotesEx() Crucial Performance Tip : The plugin should examine the nLastValid
parameter (the last valid bar AmiBroker already has) and only fetch missing data from that point forward. Data Control
: The plugin has total control over the data array. It is the developer's responsibility to ensure timestamps are unique and data is correctly formatted as OHLCV (Open, High, Low, Close, Volume). 3. Real-Time and Optional Features
For advanced data sources, you may implement these optional exports: GetStatus()
: Provides the connection state (e.g., OK, WAIT, ERR) displayed in the AmiBroker status bar. GetSymbolLimit()
: Defines the maximum number of symbols the plugin can track simultaneously. GetExtraData()
: Allows the retrieval of non-quotation data, such as fundamental metrics or specialized indicators. Streaming Updates WM_USER_STREAMING_UPDATE
message to notify AmiBroker when new data arrives, triggering a chart refresh. 4. Implementation Best Practices
Data Plugin - Design discussions - Plug-ins - Amibroker Forum
The most authoritative "paper" and resource for AmiBroker data plugin source code is the AmiBroker Development Kit (ADK). It provides the official C/C++ header files, source code samples, and documentation necessary to interface with AmiBroker's internal structures. Official AmiBroker Development Kit (ADK)
The ADK is the primary reference for creating data plugins. It includes updated documentation and samples for 64-bit date/time resolution and floating-point volume fields.
Documentation & Headers: Contains the PluginInfo and Quotation structures required for data handling.
Key Functions: Focuses on functions like GetQuotesEx() for handling real-time and historical data streams. Download Links: Official EXE: ADK.exe Official ZIP: ADK.zip Git Mirror: AmiBroker Development Kit on GitLab Modern SDK Alternatives
If you prefer higher-level languages like C#, several open-source wrappers provide pre-built templates: Amibroker Data Plugin Source Code Top _hot_
It sounds like you are looking for top-tier features to include in an Amibroker data plugin (real-time or historical feed), specifically if you are writing or evaluating source code for one.
Below is a ranked list of must-have, advanced, and competitive features to implement in high-quality Amibroker data plugin source code. Note: While I cannot redistribute entire SDKs, searching