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Alchemix (ALCX) Sentiment & Fear and Greed Index

As of July 12, 2026, Alchemix's Ruma Fear & Greed Index is 6 (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

Fear & Greed6 · Extreme Fear
Sentiment0/100
Mindshare0.00%
Price$2.04 -0.7%

Latest Alchemix insights

Binance to Delist ALCX, ARDR, NFP, POND on July 10Jun 26, 2026

Binance will delist ALCX, ARDR, NFP, and POND on July 10, 2026. The exchange did not provide a specific reason; such actions typically follow periodic reviews of trading pairs and project compliance. The announcement drew criticism, with one post accusing Binance and its leadership of being scammers.

AlchemixFi V3 Protocol Launches OfficiallyApr 20, 2026

AlchemixFi has officially launched its V3 protocol, marking a significant update for the decentralized finance platform. This launch occurred amidst a period of broader crypto market distractions and negative news cycles concerning other projects. A community member highlighted the V3 release, encouraging users to explore the new protocol.

Frequently asked questions

What is Alchemix's Fear & Greed Index?

Alchemix's Ruma Fear & Greed Index is currently 6 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 Alchemix bullish or bearish right now?

Alchemix'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 Alchemix sentiment?

Ruma reads every relevant social post about Alchemix 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.