Kaspa (KAS) Sentiment & Fear and Greed Index
As of July 17, 2026, Kaspa's Nebula Fear & Greed Index is 22 (Fear), its social sentiment score is 57/100 (mixed), 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
Latest Kaspa insights
Stroem Finance launched a cross-chain atomic swap protocol for trustless asset exchanges between Kaspa, Igra, and Ethereum, enabling direct swaps without intermediaries or centralized bridges.
Kaspa ($KAS) has released details for its upcoming DAGKnight protocol upgrade, which is scheduled for Q3 2026. This significant upgrade will eliminate the hardcoded 'k' value, enabling network confirmations to adapt dynamically to real network latency. The improvement aims to enhance network efficiency and resilience, with implications for Byzantine fault tolerance.
A social media post claims Marathon Digital (MARA), historically a pure Bitcoin miner, has diversified into mining Kaspa (KAS). This would represent a notable departure from their previous single-asset mining strategy.
Frequently asked questions
What is Kaspa's Fear & Greed Index?
Kaspa's Nebula Fear & Greed Index is currently 22 out of 100, which is Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.
Is Kaspa bullish or bearish right now?
Kaspa's social sentiment is currently mixed, with a sentiment score of 57/100 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 Kaspa sentiment?
Nebula reads every relevant social post about Kaspa 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.
