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MST is an algorithmic trading framework for the Forex market. It uses cointegration and PCA disalignment detection across 9 currency clusters to identify mean-reversion opportunities.
The V8.1 engine groups 27 FX pairs into 9 cointegrated clusters. Every 30 minutes it computes the TDI (Trend Disalignment Indicator) for each cluster using PCA projection. When the TDI drops below a threshold, it means the cluster has drifted from equilibrium — the system enters a mean-reversion trade. Parameters are frozen after walk-forward optimization with no look-ahead bias.
MetaTrader 5 for execution, Python V8 engine for analysis, ZeroMQ for data transport, Next.js dashboard for monitoring. Risk management includes 4-level circuit breakers, Kelly-based sizing, and a news filter.
The methodology is published on Zenodo: Multiple Spread Trading: A Multivariate Mean-Reversion Framework Based on PCA Disalignment Detection Across Asset Classes by Francesco Saverio Canepa (ORCID: 0000-0003-1767-4389).
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