Question 1

What is signal convergence for ALMS?

Accepted Answer

Signal convergence for ALMS occurs when multiple independent data sources — such as insider transactions, congressional trades, institutional whale positions, dark pool activity, and unusual options flow — all point in the same direction. When three or more signals align, it suggests stronger conviction behind the move.

Question 2

What does it mean when 3 or more signals align for ALMS?

Accepted Answer

When three or more signals align for ALMS, it indicates that different market participants (insiders, Congress members, hedge funds, dark pools, options traders) are independently showing similar positioning. This convergence historically correlates with higher-conviction moves and can serve as an early warning of a significant price shift.

Question 3

What data sources are used in ALMS convergence analysis?

Accepted Answer

StonkWhisper's convergence analysis for ALMS combines five signal categories: SEC insider filings (Form 4), congressional trade disclosures (STOCK Act), 13F institutional holdings from hedge funds and asset managers, FINRA dark pool / ATS volume data, and unusual options activity from the options flow.

Question 4

How often is convergence data updated for ALMS?

Accepted Answer

Convergence data for ALMS is refreshed approximately every 30 minutes. Each underlying signal source updates on its own schedule — insider filings and congressional disclosures as they are published, 13F holdings quarterly, and dark pool and options data daily.

ALMS

Insider Activity

Congressional Activity

Whale Positions

Dark Pool Activity

Options Flow

Score Breakdown

Signal Timeline