Unusual Whales launches AI “Mr. Whale” for retail options traders

A new AI assistant called Mr. Whale is now available to all Retail Basic and Retail Pro subscribers of Unusual Whales, expanding the service’s real‑time options‑flow toolkit that tracks institutional trades, gamma exposure and political portfolios [1].

Expanded real‑time flow tools

Unusual Whales already provides live market data that lets users spot “unusual options activity” such as large block trades executed on the ask side, volume that exceeds open interest, and shifts in institutional gamma exposure [1]. The platform’s dashboard aggregates over 1 billion data points across more than 11 k tickers, offering filters for contract size, volume‑to‑open‑interest ratios and execution side [1]. These metrics have been highlighted in third‑party analysis as reliable signals of new institutional positions when volume overtakes open interest [2].

AI‑driven alerts for retail traders

The newly introduced Mr. Whale AI companion automates the creation of custom alerts based on the same metrics—e.g., contracts ≥ 500, volume‑to‑open‑interest > 1.05, and ≥ 70 % ask‑side execution—allowing retail users to focus on high‑conviction trades without manual screening [2]. The AI also back‑tests strategies across multiple tickers and timeframes, a feature touted as faster and more accurate than manual methods [2]. Early user feedback cites successful trades such as a $CINC call that rose from $25 to $43 after the flow signal, with the trader reporting a 400 %+ gain [1].

What to watch

• Monitor the next major institutional block trade alerts on high‑volume tickers; a surge in ask‑side execution often precedes price moves.
• Track gamma exposure shifts for sectors showing rapid changes, as they can amplify volatility in the underlying stocks.
• Watch for updates to Mr. Whale’s alert parameters, especially any changes to the minimum contract size or volume‑to‑open‑interest thresholds that could affect signal sensitivity.

The addition of an AI companion underscores a broader trend of retail platforms borrowing institutional‑grade analytics, raising questions about how effectively retail traders can translate these signals into consistent performance.