Directional retail systems often concentrate on forecasting price moves, leaving exposure to macro surprises. A common workaround is using correlation between pairs, but correlation is not tradeable by itself. Assets can remain highly correlated while the spread keeps widening, producing persistent drawdowns. Institutional stat-arb focuses on cointegration and market-neutral positioning, where the spread between linked assets is expected to mean-revert. A practical implementation is tracking a spread Z-score rather than predicting direction. Key mechanics: logarithmic spread via ln(A) minus ln(B) to normalize scale and volatility differences, rolling Z-score to quantify deviation in standard deviations, and time-series synchronization to align both instruments even with gaps in broker data. Execution: select a cointegrated pair, wait for Z-score extr... #MQL5 #MT5 #StatArb #Indicator https://t.co/q043ec119X