TRON (TRX) Sentiment & Fear and Greed Index
As of July 14, 2026, TRON's Nebula Fear & Greed Index is 38 (Fear), its social sentiment score is 54/100 (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 TRON insights
Anchorage Digital expanded Tron blockchain support, introducing institutional staking for TRX tokens. Qualified clients can stake TRX directly through the Anchorage platform.
TRON integrated with Eco's cross-chain stablecoin network, enabling faster stablecoin transfers to the TRON blockchain to improve cross-chain payment efficiency and expand user opportunities.
Canary Capital filed an S-1 registration with the SEC for a Canary Staked TRX ETF, aiming to bring TRX closer to institutional capital.
TRON launched its DeFi Summer initiative, backed by a $2.15 million incentive pool to boost ecosystem activity. USDT circulation on the TRON network surpassed $90 billion.
TRON set a new all-time daily revenue record on Friday, generating over $1,025,000 in transaction fees, the first time the network has surpassed $1 million in a single day.
TRON joined the Chainflip ecosystem, enabling cross-chain swaps and asset transfers between TRON and other blockchains.
Frequently asked questions
What is TRON's Fear & Greed Index?
TRON's Nebula Fear & Greed Index is currently 38 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 TRON bullish or bearish right now?
TRON's social sentiment is currently mixed, with a sentiment score of 54/100 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 TRON sentiment?
Nebula reads every relevant social post about TRON 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.