Spacecoin (SPACE) Sentiment & Fear and Greed Index
As of July 12, 2026, Spacecoin's Ruma Fear & Greed Index is 19 (Extreme Fear), its social sentiment score is 0/100 (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 Spacecoin insights
Bithumb, South Korea's second-largest crypto exchange, listed Spacecoin (SPACE) in its Korean won (KRW) trading market. The token is available for deposit and withdrawal via the Ethereum network, with trading opening at 13:00 Beijing time on June 16, 2026.
SPACE, the first leveraged prediction market built on Solana, is preparing for its imminent launch. The project's Token Generation Event (TGE) is scheduled for this month, following an open beta phase. Notably, SPACE has secured 4-6 day-one listings on centralized exchanges (CEXs) from a total of 11 offers.
The SPACE protocol's Token Generation Event (TGE) has been delayed, now expected in the second half of April. This delay is attributed to the necessity of MiCAR whitepaper approval. Such approval is a prerequisite for listing the $SPACE token on EU Centralized Exchanges and certain global Tier 1 platforms.
Frequently asked questions
What is Spacecoin's Fear & Greed Index?
Spacecoin's Ruma Fear & Greed Index is currently 19 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 Spacecoin bullish or bearish right now?
Spacecoin's social sentiment is currently bearish, with a sentiment score of 0/100 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 Spacecoin sentiment?
Ruma reads every relevant social post about Spacecoin 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.