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Fear and Greed Index

Sentiment:

Notable Calls

Calls:

Mindshare:

Intelligence

Emotions

Social Momentum

Feed:

Conviction Index

Followers

Sentiment Timeframes

Hims & Hers Health (Backpack Securities) (HIMS) Sentiment & Fear and Greed Index

As of July 30, 2026, Hims & Hers Health (Backpack Securities)'s Nebula Fear & Greed Index is 50 (Neutral), its social sentiment score is -55/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Nebula from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.

Updated continuously · Source: Nebula

Fear & Greed50 · Neutral
Sentiment-55/100
Mindshare0.00%

Latest Hims & Hers Health (Backpack Securities) insights

FTC Sues Hims & Hers Over Billing and Privacy ViolationsJul 29, 2026

The Federal Trade Commission filed a lawsuit against Hims & Hers (HIMS) alleging deceptive billing practices, difficult cancellation processes, and privacy violations. The complaint accuses the company of sharing sensitive health data with Meta and Snap without user consent.

Frequently asked questions

What is Hims & Hers Health (Backpack Securities)'s Fear & Greed Index?

Hims & Hers Health (Backpack Securities)'s Nebula Fear & Greed Index is currently 50 out of 100, which is Neutral. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.

Is Hims & Hers Health (Backpack Securities) bullish or bearish right now?

Hims & Hers Health (Backpack Securities)'s social sentiment is currently bearish, with a sentiment score of -55/100 based on how bullish or bearish the crypto social conversation is. Sentiment reflects the mood of the market, not price direction or financial advice.

How does Nebula measure Hims & Hers Health (Backpack Securities) sentiment?

Nebula reads every relevant social post about Hims & Hers Health (Backpack Securities) across crypto Twitter/X and other sources and scores it with large language models — capturing bullish/bearish tone, emotion, and who is speaking (from retail to smart money) — rather than counting keywords.