A single notification tells a dealer that something happened. A combination of notifications — from several triggers firing on the same account at the same time — tells a story. That is the principle behind how Brokerpilot's triggers are designed: not to catch isolated events, but to reveal patterns.
Detect Sharp Deals is built for exactly this kind of pattern recognition. It identifies a series of suspiciously profitable trades based on configurable thresholds: number of transactions, profit percentage per trade, absolute profit amount. A total profit filter helps reduce noise — the trigger only fires when the combined picture crosses the broker's defined parameters.
How the trigger works in practice
When the configured values are exceeded, the dealer receives a notification and can jump directly to the trader's account information page. The analysis is not about a single trade — it is about the behaviour pattern around it: entry timing, position size relative to account history, instruments used, how results compare to the trader's baseline.
The trigger is designed to work alongside others. A Detect Sharp Deals notification that coincides with alerts from other triggers — abnormal volume, unusual timing, IP anomalies — builds the case for deeper review. Sharp deals detection that appears in isolation may still warrant attention, but the combination is what converts a signal into a conclusion.
Detect Sharp Deals by Period
The sibling trigger, Detect Sharp Deals by Period, operates with identical logic but adds a time dimension to the search. Instead of evaluating the full trade history, it scans within a defined time window — useful for identifying traders who concentrate suspicious activity within specific sessions or calendar periods.
Sharp deals detection works best when combined with a broader view of account relationships. Market maker-style accounts often operate across multiple connected profiles. The anti-fraud and abuse detection suite provides that wider context.
Request a demo → to see the trigger configured on a live book.
