PulseChain (PLS) Sentiment & Fear and Greed Index
As of July 16, 2026, PulseChain's Nebula Fear & Greed Index is 10 (Extreme Fear), its social sentiment score is 19/100 (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
Latest PulseChain insights
Richard HeartWin raised concerns about a potential exploit on PulseChain involving pDAI, suggesting an entity minting Atropa tokens could drain up to 2 billion pDAI from PulseX liquidity pools. The exploit appears to bypass the token's origin restrictions, posing a risk to the platform's liquidity.
The Blockscout explorer API for PulseChain is experiencing a chain-wide outage, returning HTTP 500 errors on all endpoints. The issue has prompted community concern, with users questioning the network's stability. No official statement from PulseChain leadership has been released as of yet.
Rackham Rishel has received an offer to exchange a Solana position for 2,500 PulseChain validators. This proposal is currently under review. If accepted, the exchange would significantly expand the $MAFIA project's validator count by 2,500, bringing it to 4,500 of its 5,000 target.
Frequently asked questions
What is PulseChain's Fear & Greed Index?
PulseChain's Nebula Fear & Greed Index is currently 10 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 PulseChain bullish or bearish right now?
PulseChain's social sentiment is currently bearish, with a sentiment score of 19/100 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 PulseChain sentiment?
Nebula reads every relevant social post about PulseChain 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.
