Syscoin (SYS) Sentiment & Fear and Greed Index
As of July 22, 2026, Syscoin's Nebula Fear & Greed Index is 34 (Fear), its social sentiment score is 76/100 (bullish), 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 Syscoin insights
Syscoin paused its cross-chain bridge after an attacker exploited a validation vulnerability to mint approximately 5 billion unauthorized SYS tokens. The exploit caused the token's price to drop nearly 20%. The Syscoin team is working with exchanges to mitigate the impact.
SYS coin has been delisted from Binance. Despite this, the project has reported significant community support following the announcement. The SYS team plans to release a forward-looking blog post soon, detailing their updated roadmap, vision, and upcoming adoption updates.
Binance has announced its decision to delist five cryptocurrencies from its spot trading platform. The affected assets are Automata (ATA), Harvest Finance (FARM), Enzyme (MLN), Phoenix (PHB), and Syscoin (SYS). Trading for these tokens will cease, and they will be delisted on May 27, 2026, at 11:00 (UTC+8).
Frequently asked questions
What is Syscoin's Fear & Greed Index?
Syscoin's Nebula Fear & Greed Index is currently 34 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 Syscoin bullish or bearish right now?
Syscoin's social sentiment is currently bullish, with a sentiment score of 76/100 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 Syscoin sentiment?
Nebula reads every relevant social post about Syscoin 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.
