Amibroker Data Plugin Source Code [hot] Jun 2026

When a user selects your plugin inside AmiBroker, the OpenDatabase function fires. In your source code, this is where you would connect to your data source (REST API, WebSocket, custom binary file).

// Allocate provider context DBPROVIDER* pProv = (DBPROVIDER*)calloc(1, sizeof(DBPROVIDER)); // Example: Connect to a local time-series database pProv->dbHandle = my_tsdb_connect(name);

class CSVPlugin : public AmiBroker::Plugin amibroker data plugin source code

It shows how to push streaming crypto data into AmiBroker's charting engine in real-time. Python "Pseudo-Plugins"

// Read data from CSV file char line[1024]; while (fgets(line, 1024, file_)) When a user selects your plugin inside AmiBroker,

The primary role of a data plugin is to feed quotes to the database. GetQuotesEx()

| Source Type | Availability | License | Use Case | |-------------|--------------|---------|-----------| | AmiBroker SDK Examples | Free (with SDK) | Proprietary (Tomasz Janeczko) | Learning, Basic CSV/DBF plugins | | GitHub / GitLab repositories | Sparse, outdated | Mostly GPL/MIT | Educational, but rarely maintained for v6.0+ | | Commercial SDK Extensions | Paid ($200-$2000) | Custom | Production-grade, includes WebSocket, FIX engines | Python "Pseudo-Plugins" // Read data from CSV file

While many traders rely on third-party vendors for data plugins, there is a growing cohort of quantitative developers and proprietary trading firms that require custom data solutions. Whether you are looking to integrate a private cryptocurrency exchange, a bespoke Python algorithmic feed, or a legacy internal database, mastering the source code of an AmiBroker data plugin is essential.

The main components you will find in any standard are:

AmiBroker expects three primary exported functions in your DLL to manage its lifecycle: