What It Tries To Do
event_driven studies whether specific corporate events create follow-through opportunities. Examples include buybacks, index inclusion, pledge reduction, block deals, and earnings events.
How It Decides
The strategy reads point-in-time event records, filters to enabled event types, scores events by type and size, and holds selected names for a configured window.
Simple Example
A stock is announced for index inclusion. Passive funds may need to buy it later. The strategy studies whether buying after the announcement would have worked.
When To Use It
Use weekly rebalance and good event ingestion. Earnings can come from the existing event refresh path; other event types need custom data.
What Can Go Wrong
Event quality matters. Bad or incomplete event data can make the backtest look better or worse than reality.
How To Read Results
Inspect the event source behind winning trades. This strategy is only as reliable as the events table.