While not a trading plugin, this is beloved by discretionary traders. It monitors AFL variables (e.g., Buy and Sell arrays) and pushes rich messages with charts, P&L, and order links.
This plugin solves the biggest headache for retail traders: affordable real-time data. It subscribes to public WebSocket streams and pushes ticks directly into Amibroker’s database. amibroker plugin github
Amibroker’s native ASCII import wizard is slow for large tick data. This plugin memory-maps the CSV file and uses multi-threading to import data up to 50x faster. While not a trading plugin, this is beloved
For decades, Amibroker has been the gold standard for retail traders and quantitative analysts who need a fast, flexible, and powerful charting and backtesting platform. Its native AFL (Amibroker Formula Language) is robust, but every serious trader eventually hits a wall: native data feeds are limited, custom order execution is clunky, and advanced machine learning integration is non-existent. It subscribes to public WebSocket streams and pushes
This plugin intercepts Amibroker’s PlaceOrder() calls and translates them into brokerage-specific API requests. It includes a simulator mode to paper-trade before going live.
Imagine calling ModelPredict("my_model.onnx", price_series) from your AFL code. That’s exactly what this plugin does. It loads pre-trained machine learning models and returns predictions as a new array.
This is where come into play. And today, the single best source for cutting-edge, community-driven, and often free Amibroker plugins is GitHub .