/

Fear and Greed Index

Sentiment:

KOL Calls

Long/Short Calls

Mindshare:

Intelligence

Emotions

Social Momentum

Feed:

Conviction Index

Followers

Volume ($)

Volatility

Mcap vs BTC

Sentiment Timeframes

Harvest Finance (FARM) Sentiment & Fear and Greed Index

As of July 22, 2026, Harvest Finance's Nebula 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 Nebula from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.

Updated continuously · Source: Nebula

Fear & Greed19 · Extreme Fear
Sentiment0/100
Mindshare0.00%
Price$5.29 +0.0%

Latest Harvest Finance insights

Binance to Delist Five Cryptocurrencies on May 27May 13, 2026

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 Harvest Finance's Fear & Greed Index?

Harvest Finance's Nebula 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 Harvest Finance bullish or bearish right now?

Harvest Finance'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 Nebula measure Harvest Finance sentiment?

Nebula reads every relevant social post about Harvest Finance 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.