Fear and Greed Index

Sentiment:

Notable Calls

Social Volume Δ Profile:

Calls:

Mindshare:

Intelligence

Price Interest

Emotions

Social Momentum

Feed:

Conviction Index

Big Monster Willy (BMW) Sentiment & Fear and Greed Index

As of August 10, 2026, Big Monster Willy's Nebula Fear & Greed Index is 50 (Neutral), its social sentiment score is 31/100 (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
Sentiment31/100
Mindshare0.00%

Latest Big Monster Willy insights

German car dealerships in China rebrand from VW, BMW, Mercedes, Audi to BYD and XiaomiAug 9, 2026

German car dealerships in China are removing VW, BMW, Mercedes, and Audi logos from their facades and replacing them with BYD and Xiaomi branding, reflecting the decline of German auto industry presence in China. This is corroborated by Mike Rowe's warning that China built 1,000 ships while America built 3, highlighting China's industrial ascendancy.

Frequently asked questions

What is Big Monster Willy's Fear & Greed Index?

Big Monster Willy'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 Big Monster Willy bullish or bearish right now?

Big Monster Willy's social sentiment is currently bearish, with a sentiment score of 31/100 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 Big Monster Willy sentiment?

Nebula reads every relevant social post about Big Monster Willy 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.