MQL5 Algo Trading

Correlation becomes actionable only when it’s measured: it determines whether multiple trades are independent bets or the same exposure repeated across symbols. Portfolio risk is not the sum of individual risks; pairwise correlations add interaction terms that can inflate or…

MQL5 services in MetaTrader consolidate three monetization paths for traders and developers: Signals subscriptions, a Market for EAs and utilities, and a Freelance order book. Access is integrated into the terminal, with public stats, distribution by symbols, and risk/slippage…

Modern trading stacks often accumulate correlated, lagging signals. A proposed alternative pairs a Discrete Fourier Transform cycle decoder with a Leaky Integrate-and-Fire Spiking Neural Network to isolate dominant market frequencies and add time-based confirmation. The DFT…

Many MT5 workflows still treat each trade as isolated. In practice, instruments can move in lockstep during the same event, and multiple small positions can accumulate into a material share of equity through combined margin. An MQL5 indicator addresses this by accepting…

A revived MT5 trading robot is rebuilt as a hybrid system: Python handles data pipelines, feature building, model training, and signal generation, while MetaTrader 5 executes trades via the Python API. Multithreading assigns each symbol its own model context to avoid sequential…

A lightweight trading prototype is released around an interactive supply and demand zone management framework. It is not positioned as a complete methodology or a finished automated system, but as a reference implementation combining zone structure, validation logic, trade…