Codes for the article Regression models in the Scikit-learn library and their export to ONNX
We implement a research paper's network-momentum trend-following strategy entirely in MQL5. The EA detects lead-lag relationships between markets with Derivative Dynamic Time Warping, learns a weighted network by convex optimization, and trades the momentum that spills across it.
Centaur Quant Architecture — Multi-Asset SMC Executor + SDP Telemetry Bridge (MQL5 + Python). OB/FVG scanner, anti-veto LLM scoring, file-based telemetry fallback.
ONNX Example of simple prediction
Survival analysis applied to MetaTrader 5 deal history: Kaplan-Meier and hazard curves that answer how long a trade lasts and when it is most likely to die, not just how often it wins.
Intrinsic time and the directional-change operator in MQL5: scaling laws verified on live ticks, and the Alpha Engine coastline trader built on top of them.
ScalerByLeo is a library for preprocessing data for ML models using scalers such as maxmin, robust, standard scaler, and also OpenCL can be used for bulk data scaling.
Generic collection library (HashMap, etc.) Fast
TelegramByLeo is a Telegram library that provides an API, Poller, CommanderBot, and more for working with the Telegram API in MQL5, prioritizing super-fast performance.