Identifying a Recent Stock Anomaly and Retrieving Its Opening Price

Summary

This platform discussion describes a research use case: detect a recent stock anomaly, wait for a later price adjustment, and potentially act when the stock reaches a level tied to the anomaly day. Its example defines an anomaly using a sharp increase in trading amount together with a sufficiently strong daily return, then searches a recent window for the anomaly date and attempts to retrieve that day's opening price.

The author reports that two approaches using a time-series argmax result as the shift offset fail: the platform cannot convert the resulting series to an integer, and applying a floor operation still produces a scalar-conversion error. The post is therefore a request for platform support, not a working solution. It contains no backtest or evidence that the proposed trading setup is profitable, and it does not explain how to handle cases with no anomaly or multiple qualifying days. Its value is mainly in clarifying a historical data-access problem encountered in event-driven stock research.

Key ideas

• The proposed workflow detects a recent anomaly and later references the opening price from its event date.
• The example defines an anomaly using a trading-amount increase and a positive daily return threshold.
• The author reports that a time-series-derived offset cannot be passed successfully to the platform's shift operation.
• The discussion requests a platform capability and supplies no working retrieval method or trading results.
• The example leaves edge cases such as missing or multiple anomalies unresolved.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.