MicroStrategy (Ondo Tokenized Stock) (MSTRON) Sentiment & Fear and Greed Index
As of July 5, 2026, MicroStrategy (Ondo Tokenized Stock)'s Ruma Fear & Greed Index is 20 (Extreme Fear), its social sentiment score is 26/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Ruma from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.
Updated continuously · Source: Ruma
Latest MicroStrategy (Ondo Tokenized Stock) insights
MicroStrategy (MSTR) stock fell below $100 for the first time since February 2024, dropping nearly 10% to a low of $93. The company sold 32 BTC to cover interest payments, while its STRC preferred stock trades at a 14% discount and carries $1.7 billion in annual dividend liabilities.
MicroStrategy (MSTR) added 1,578 BTC, now totaling 846,842 BTC. BMNR purchased 76,881 ETH, bringing its total to 5,620,754 ETH. MSTR has $7.979 billion in unrealized losses on its crypto treasury; BMNR has $9.327 billion.
Frequently asked questions
What is MicroStrategy (Ondo Tokenized Stock)'s Fear & Greed Index?
MicroStrategy (Ondo Tokenized Stock)'s Ruma Fear & Greed Index is currently 20 out of 100, which is Extreme Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.
Is MicroStrategy (Ondo Tokenized Stock) bullish or bearish right now?
MicroStrategy (Ondo Tokenized Stock)'s social sentiment is currently bearish, with a sentiment score of 26/100 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 Ruma measure MicroStrategy (Ondo Tokenized Stock) sentiment?
Ruma reads every relevant social post about MicroStrategy (Ondo Tokenized Stock) 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.