onchaindata

Over the last few days, I’ve been watching $NFT (AINFT) on-chain activity closely, and the shift is clear.

This isn’t about short-term price movement. It’s about usage, participation, and network behavior.

I compared the data from January 2 with what we’re seeing today, and the difference tells a real story.

Let’s walk through it 👇

𝗪𝗵𝗮𝘁 𝗰𝗵𝗮𝗻𝗴𝗲𝗱 𝗼𝗻-𝗰𝗵𝗮𝗶𝗻

From the latest on-chain data:

➡ 24h Transfers: 682
Up +91.57%
This means almost double the number of token movements compared to earlier activity.

➡ 24h Trading Volume: $17.35M
Up +58.22%
More capital is flowing through the token, not sitting idle.

➡ Liquidity: $5.39M
Up +0.68%
Liquidity remains stable while activity increases, which is important for healthy markets.

➡ Holders: Now over 2.15 million
This didn’t spike overnight. It’s the result of steady adoption over time.

This kind of growth doesn’t come from noise. It comes from people using the network.

𝗪𝗵𝗮𝘁 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘀𝗵𝗼𝘄𝘀

Looking at January 2 versus today:

➡ Transfers increased sharply, showing higher interaction

➡ Trading volume expanded without destabilizing liquidity

➡ Holder count continued to rise, not drop

➡ Market participation became more active, not thinner

This combination matters.

High volume without liquidity is fragile.
High liquidity without usage is idle.
AINFT is showing both usage and stability at the same time.

𝗪𝗵𝘆 𝗔𝗜𝗡𝗙𝗧 𝘀𝗶𝘁𝘀 𝗶𝗻 𝗮 𝘂𝗻𝗶𝗾𝘂𝗲 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻

$NFT is not just another token on TRON.

It operates at the intersection of:

▫️AI infrastructure

▫️NFT creation and ownership

▫️On-chain automation

▫️Agent-based systems

▫️TRON’s high-throughput, low-fee environment

Instead of building hype around narratives, the ecosystem focuses on tools, platforms, and real on-chain systems that people can interact with directly.

That’s why activity shows up first on-chain, not just on social media.

𝗪𝗵𝗮𝘁 𝗿𝗶𝘀𝗶𝗻𝗴 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗺𝗲𝗮𝗻

An increase in transfers usually points to:

▫️More users interacting with the ecosystem

▫️More contracts, platforms, or agents using the token

▫️Higher movement between wallets, dApps, and protocols

▫️Real usage beyond simple holding

This is often the earliest signal of ecosystem expansion.

AINFT has been live for years.
It’s not a new launch.
It’s not running on temporary attention.

What we’re seeing now looks like:

▫️Infrastructure reaching maturity

▫️Tools being actively used

▫️Community participation growing steadily

▫️On-chain data confirming real engagement

This is how long-term ecosystems usually move.

Quiet first.
Then consistent.
Then visible in the data.

When on-chain activity rises while liquidity stays healthy and holder count continues to grow, it usually points to organic expansion, not artificial movement.

AINFT is showing that pattern clearly.

If you want to explore the raw data yourself, everything is transparent and verifiable on-chain.

🌊 A new year. A new wave.
The data is already moving.

Explore directly on TRONScan and draw your own conclusions: tronscan.org/#/token20/TFcz…

@Justin Sun孙宇晨 #onchaindata #nft #AI #TRONEcoStar

In the fast-paced world of digital assets, price isn't the only thing that matters—Market Sentiment is the invisible force that drives trends. Understanding whether the market is in a state of "Extreme Fear" or "Extreme Greed" is essential for any trader looking at $BTC or $BNB .
Market sentiment is often measured using the Fear and Greed Index. When the index is low (Fear), it often indicates that assets are undervalued and investors are panic-selling. This is traditionally seen by "smart money" as a buying opportunity. Conversely, when the index is high (Greed), it suggests the market is overdue for a correction as "FOMO" (Fear Of Missing Out) takes over retail investors.
Beyond the index, traders look at On-Chain Data and Social Volume. For example, a sudden spike in "whale" deposits of $BTC to exchanges often signals a bearish sentiment, as large holders prepare to sell. On the other hand, high social media engagement for a specific ecosystem like $SOL can indicate a burgeoning bullish narrative before the price fully reflects it.
Ultimately, successful trading requires "sentiment contrarianism"—being cautious when others are greedy and being brave when others are afraid. By monitoring sentiment alongside technical analysis, you can avoid the common trap of buying at the "local top." Always remember: the crowd is usually right in the middle of a trend, but almost always wrong at the turning points.



#MarketSentimentToday #fearandgreed #cryptotrading #PsychologyOfTrading #onchaindata