Repeated high/low scans inside trailing stops turn many MT5 EAs into O(N) workloads, creating latency and exit drift on VPS deployments. The article switches to a data-first design: deterministic, cleaned history plus constant-time extrema queries. A Sparse Table precomputes min/max over power-of-two ranges, built once at init (or refresh) and queried in O(1) via two overlapping blocks. This replaces per-bar lookback loops with indexed range lookups suited to frequent trailing updates. For reproducible inputs, a Python Polars pipeline cleans broker data (gap handling, interpolation, Hampel outlier filtering, log-return validation) and writes to SQLite. MQL5 reads timestamped, targeted SELECT results to build the table and feed trailing logic without terminal-history inconsistencies. Trailing decisions add an excursion validator: stops update only wh... #MQL5 #MT5 #AlgoTrading #SQLite https://t.co/QQDj4CkyLg