Amibroker Data Plugin Source Code Top 🔥 Trusted Source

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 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

Amibroker is one of the most powerful technical analysis platforms available, but its true strength lies in its extensibility. By using the Development Kit (SDK), you can write a custom data plugin to stream price data from any source—be it a REST API, a local database, or a proprietary socket. amibroker data plugin source code top

Developing a high-performance data plugin requires a deep understanding of C++ and the Amibroker Plugin API. Below is a comprehensive guide and a foundational source code template to help you build a top-tier data plugin. 🛠️ Prerequisites for Development

Before diving into the code, ensure your environment is configured correctly.

Microsoft Visual Studio: Use C++ (Community Edition works fine).

AmiBroker Development Kit (ADK): Download this from the official AmiBroker website. It contains necessary headers like Plugin.h.

C++ Knowledge: You must understand DLL entry points and memory management.

Data Source: An API (like Alpaca, Binance, or Interactive Brokers) to fetch prices. 🏗️ Core Architecture of a Data Plugin

An AmiBroker data plugin is a standard Windows DLL. AmiBroker communicates with this DLL through specific exported functions. To be considered a "top" plugin, your code must handle:

Interface Management: Identifying the plugin to the software.

Capability Reporting: Telling AmiBroker if you support intraday, real-time, or EOD data.

Data Streaming: Efficiently pushing Quotation structures into the AmiBroker database. đź’» Source Code Template (C++)

This is a simplified boilerplate for a "Top" performance plugin. It demonstrates the essential exported functions required by Broker.exe.

#include "pch.h" #include "Plugin.h" // Found in the AmiBroker ADK #include // Structure to hold plugin information struct PluginInfo int nSize; int nType; int nVersion; char szID[32]; char szName[64]; char szVendor[64]; ; // 1. Identify the Plugin extern "C" __declspec(dllexport) int GetPluginInfo(struct PluginInfo* pInfo) pInfo->nSize = sizeof(struct PluginInfo); pInfo->nType = 1; // Type 1 is Data Plugin pInfo->nVersion = 10000; // 1.0.0 strcpy_s(pInfo->szID, "MY_CUSTOM_SOURCE"); strcpy_s(pInfo->szName, "Top Data Plugin Pro"); strcpy_s(pInfo->szVendor, "Developer Name"); return 1; // 2. Define Capabilities extern "C" __declspec(dllexport) int GetPluginCaps(int nIndex) switch(nIndex) case 0: return 1; // Support Real-time case 1: return 1; // Support Intraday default: return 0; // 3. Main Data Retrieval Function extern "C" __declspec(dllexport) int GetQuotes(char* pszTicker, int nPeriodicity, int nLimit, struct Quotation* pQuotes) // Logic to fetch data from your API goes here // pQuotes is an array of structures you must fill: // pQuotes[i].DateTime, pQuotes[i].Price, etc. return 0; // Return number of quotes actually filled // 4. Notify AmiBroker of Status changes extern "C" __declspec(dllexport) void SetTimeBase(int nTimeBase) Use code with caution. 🚀 Optimization Tips for Top Performance

To make your plugin professional and stable, implement these three advanced features: 1. Multithreading

Never fetch data on the main AmiBroker thread. If your API call hangs, AmiBroker will freeze. Use a background worker thread to pull data and a thread-safe queue to pass it to the GetQuotes function. 2. Backfill Logic

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

Heartbeat Check: Periodically ping your data source to ensure the connection is alive.

Reconnection Logic: If the internet drops, the plugin should attempt an exponential backoff reconnection. đź“‚ Deployment

Compile as DLL: Set your Visual Studio project to "Release" and "x64" (or x86 depending on your AmiBroker version).

Copy to Plugins Folder: Place your .dll file into C:\Program Files\AmiBroker\Plugins.

Restart AmiBroker: Go to File -> Database Settings -> Configure. Your plugin should appear in the "Data Source" dropdown. âť“ Frequently Asked Questions

Can I write a plugin in Python or C#?AmiBroker requires a C-interface DLL. While you can use "wrappers" for C# or Python, they often introduce latency. For high-frequency data, C++ is the industry standard. The primary resource for developers is the AmiBroker

Where can I find more complete source code?The AmiBroker ADK includes a "Sample" folder with a fully functional (though basic) implementation. Reviewing the Sample.cpp file is the best way to understand the data flow.

Are you targeting Real-Time streaming or End-of-Day updates?

Do you need help with the C++ project configuration specifically?

I can provide more specific code snippets for your chosen API if you provide those details!

Conclusion: Where to Find the "Top" Source Code

If you are serious about "amibroker data plugin source code top", you have three pathways:

  1. Open Source Audit (Free): Search GitHub for "AmiBroker Plugin" with language filter "C++". Look for repositories updated within 2 years (showing active maintenance). Study IDataPlugin.cpp patterns.
  2. Commercial SDK Purchase ($199–$499): Companies like Norgate Data provide full source with their premium subscription. This is the highest quality, production-tested code.
  3. Contract Developer ($2k–$5k): Hire a freelancer who has previously compiled the AmiBroker SDK. Ask for their prior DataPlugin implementation as a code sample.

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.

Introduction

Amibroker is a popular technical analysis and trading platform that allows users to create custom indicators, backtest trading strategies, and analyze financial data. One of the key features of Amibroker is its ability to connect to various data sources using plugins. In this guide, we will walk you through the process of creating an Amibroker data plugin source code.

Prerequisites

Before you start, make sure you have:

  1. Amibroker installed on your system (version 5.20 or later)
  2. A basic understanding of C++ programming language
  3. A data source (e.g., a database, API, or file) that you want to connect to Amibroker

Step 1: Choose a Data Source

Select a data source that you want to connect to Amibroker. This could be a:

  1. Database (e.g., MySQL, PostgreSQL, SQLite)
  2. API (e.g., Quandl, Alpha Vantage, Intrinio)
  3. File (e.g., CSV, JSON, XML)

Step 2: Create a New Plugin Project

Create a new C++ project in your preferred IDE (e.g., Visual Studio, Xcode, Eclipse). Name your project (e.g., "MyDataPlugin").

Step 3: Include Amibroker SDK

Include the Amibroker SDK (Software Development Kit) in your project. You can download the SDK from the Amibroker website. The SDK provides the necessary header files, libraries, and documentation to create Amibroker plugins.

Step 4: Implement the Plugin Interface

Create a new C++ class that implements the Amibroker plugin interface. The interface consists of several pure virtual functions that you must implement:

  1. GetDataParamCount(): Returns the number of data parameters required by the plugin.
  2. GetDataParamName(): Returns the name of a data parameter.
  3. GetDataParamType(): Returns the type of a data parameter (e.g., string, integer, float).
  4. OpenConnection(): Opens a connection to the data source.
  5. CloseConnection(): Closes the connection to the data source.
  6. GetSymbol(): Returns a list of symbols (e.g., stocks, futures, forex) available from the data source.
  7. GetBarCount(): Returns the number of bars available for a symbol.
  8. GetBar(): Returns a single bar for a symbol.
  9. GetQuote(): Returns a quote for a symbol.

Here's an example implementation:

class MyDataPlugin : public IDataPlugin
public:
    int GetDataParamCount()  return 2; 
    const char* GetDataParamName(int index)  return index == 0 ? "username" : "password"; 
    int GetDataParamType(int index)  return index == 0 ? PARAM_STRING : PARAM_STRING;
int OpenConnection()  /* open connection to data source */ return 1; 
    int CloseConnection()  /* close connection to data source */ return 1;
void GetSymbol(int index, char* symbol)  /* return symbol */ 
    int GetBarCount(const char* symbol)  /* return bar count */ return 100; 
    void GetBar(const char* symbol, int barIndex, float* open, float* high, float* low, float* close, float* volume)  /* return bar data */ 
    void GetQuote(const char* symbol, float* bid, float* ask)  /* return quote */ 
;

Step 5: Implement Data Loading

Implement the data loading functions to retrieve data from your data source. This may involve:

  1. Reading data from a file
  2. Querying a database
  3. Calling an API

Here's an example implementation:

int MyDataPlugin::GetBar(const char* symbol, int barIndex, float* open, float* high, float* low, float* close, float* volume)
// Read data from a file
    FILE* file = fopen("data.csv", "r");
    if (file == NULL) return 0;
char line[1024];
    int index = 0;
    while (fgets(line, 1024, file) != NULL)
if (index == barIndex)
sscanf(line, "%f,%f,%f,%f,%f", open, high, low, close, volume);
            fclose(file);
            return 1;
index++;
fclose(file);
    return 0;

Step 6: Compile and Build the Plugin

Compile and build your plugin using your preferred IDE. Make sure to link against the Amibroker SDK libraries.

Step 7: Install the Plugin

Copy the compiled plugin (e.g., "MyDataPlugin.dll") to the Amibroker plugins directory (usually "C:\Program Files\Amibroker\Plugins").

Step 8: Configure Amibroker

Configure Amibroker to use your plugin:

  1. Open Amibroker and go to "Tools" > "Preferences" > "Plugins"
  2. Select your plugin from the list and click "Configure"
  3. Enter any required parameters (e.g., username, password)

Step 9: Test the Plugin

Test your plugin by:

  1. Creating a new analysis in Amibroker
  2. Selecting your plugin as the data source
  3. Verifying that data is loaded correctly

That's it! You now have a working Amibroker data plugin source code. Note that this is a basic guide, and you may need to modify the code to suit your specific requirements. Additionally, you may want to consider adding error handling, caching, and other features to improve performance and reliability.

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.

Handling Historical Backfills (A "Top" Priority)

A data plugin is useless without proper historical daily/minute/ tick backfill. The GetStatic method is where top source codes shine.

The algorithm used in professional source code:

  1. Check local cache (SQLite or flat binary file).
  2. If missing, fire async HTTP request to data vendor.
  3. Parse response (CSV, JSON, or binary protobuf).
  4. Convert timezone to Eastern Time (AmiBroker’s internal clock).
  5. Write to cache and return StaticInfo array.

Timezone conversion snippet (Gold standard):

void ConvertToEasternTime(SYSTEMTIME *utc)
TIME_ZONE_INFORMATION tzi;
    GetTimeZoneInformation(&tzi);
    // Apply bias: UTC to Eastern = -300 minutes (standard)
    // Top plugins adjust for DST dynamically
    SystemTimeToTzSpecificLocalTime(&tzi, utc, utc);

3. The "REST API Plugin" – Top for Crypto Exchanges

  • Structure: Uses WinHTTP with asynchronous WinHttpReceiveResponse.
  • Top Feature: Automatic rate limiting and retry with exponential backoff.
  • Key file: RESTFetcher.cpp

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.

The Developer’s Guide to AmiBroker Data Plugin Source Code: Top Resources & Examples

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.

Part 7: The Future – 64-bit Only & JSON APIs

The "top" source code of 2025 will abandon old COM interfaces entirely. Modern plugins are: Open Source Audit (Free): Search GitHub for "AmiBroker

  • Compiled with /MT (static runtime) for zero dependency.
  • Using nlohmann/json or simdjson for parsing crypto exchange order books.
  • Implementing asynchronous I/O via IOCP (Windows Completion Ports) to handle 10,000+ symbols.

Example of a modern symbol request (pseudo-code):

// In GetQuotesEx, for ACTION_REFRESH (real-time)
async_http_get("https://api.exchange.com/ticker?symbol=" + symbol, [&](json data) 
    pQuotes[0].fLast = data["price"];
    pQuotes[0].nVolume = data["vol"];
    pQuotes[0].fOpen = prevOpen; // Carry over
);

6. Error Resilience & Auto-Recovery

  • Reconnection logic – Exponential backoff on connection loss to data source.
  • Data gap detection – Detect missing bars/times and auto-request backfill.
  • Graceful degradation – If real-time feed fails, continue showing historical data.

Common Pitfalls in AmiBroker Plugin Source Code (and How Top Developers Fix Them)

| Pitfall | Amateur Code | Top Code Solution | | :--- | :--- | :--- | | Deadlocks | Using WaitForSingleObject inside GetQuotesEx | Using TryEnterCriticalSection with fallback E_PENDING | | Missing Splits/Divs | Returning only price data | Querying separate corporate action endpoint | | Large Tick Data | Allocating huge arrays on heap | Memory-mapped files + virtual memory | | Reconnection Logic | Manual reset required | Automatic WebSocket ping/pong with exponential backoff |

2. The "DDE Plugin" – Top for Legacy Integration

  • Structure: Uses Windows DDE (Dynamic Data Exchange) to talk to Excel or TradeStation.
  • Top Feature: Implements a DDE server callback loop inside a separate thread to avoid UI hangs.
  • Key file: DDEClient.cpp