AM

[seasick.vet @JustSeasick]

Ngl, it feels good to finally see some money flowing back into altcoins like vechain:native again

Source: @CoinMarketCap AI

[Splendid.vet Ⓥ @SplendidMite]

#VeChain $VET 🚀

[George Stamatopoulos Ⓥ @gstamato]

#Vechain has done scellent work all these years.

Only the price does not follow our trend. Now the time has come to see $VET at the correct value.

#VeFam stay strong and believe.

@Merrill_MG thanks for your post.

[AM @Sashiakki]

@elliotrades @0xconcepts Wrong check out vechain:native

[AM @Sashiakki]

@ValuableTX What does it mean to tokenomics ?

[AM @Sashiakki]

@CryptoPatel $VET is lately focused on $meme and $B3TR

[₿lackthorne AI @BlackthorneAI]

$VET. Shooting for the stars.

[AM @Sashiakki]

@Santiag78758327 $VET

[AM @Sashiakki]

@CryptoGnomie You think vechain:native will be a player in tokenization? Any connection with #FRANKLINTEMPLETON ?

[Gnomie @CryptoGnomie]

Hey VeFam, this bullrun is our turn 😏🫡

VeChainThor

[AM @Sashiakki]

@DiscoverCrypto vechain:native has #RWA # TOKENIZATION ??

[𝕍ETlieber 🐐 @VETlieber]

VeChain will reach $1 next following years, is a fact. 💎

#VeFam $VET #VeChain #VET

[James Rule XRP ⟐ 👊😎 @allthemoney]

$VET is the native cryptocurrency of VeChain (VeChainThor), an enterprise-focused Layer-1 public blockchain launched in 2015 by Sunny Lu that specializes in real-world applications for supply chain transparency, product authenticity, anti-counterfeiting, sustainability tracking, and secure data management across industries like logistics, fashion, food, and automotive.

It uses a dual-token model where VET serves as the primary value-transfer, staking, and governance token (holders generate VTHO and can participate in network security via staking/delegation after the 2025 Hayabusa upgrade to Delegated Proof-of-Stake), while the companion VTHO token acts as the stable “gas” for transaction fees and smart-contract execution, keeping costs predictable for businesses; the network is EVM-compatible, highly efficient (blocks ~every 10 seconds with low energy use), and supports features like IoT integration, fee delegation, and multi-clause transactions to bridge physical goods with verifiable digital records.

[𝔹𝟛𝕋ℝ 26 @B3TR26]

Stop repeating yourself, my friend, it's VeChain now.

[Damnang @damnang2]

🧐

[Roundhill Investments @roundhill]

$NCLD Now Trading: The world is compute constrained and neoclouds offer a viable solution by selling compute to AI leaders and AI startups via multi-year contracts.

The Roundhill Neocloud ETF $NCLD is a pure play on the leading neoclouds. Consider investing: https://t.co/8OGxYUIINX

[Ren @ren_stocks]

$LYTE A new photonics ETF coming from Roundhill.

Who here is buying this one? Interesting holdings.

$LAZR is also one to keep an eye on if ETFs are your thing.

More spotlight for photonic names is always bullish ⚡️

[Roundhill Investments @roundhill]

$LYTE Now Trading: AI data centers are replacing copper-based data transfer with faster, more efficient light-based connections and optical connectivity has become a critical bottleneck of the AI buildout.

The AI optical transceiver market alone is estimated to grow 57% this year, from $16.5 billion to $26 billion. The Roundhill Photonics & Optics ETF $LYTE is a pure play on the global photonics and optics leaders.

Consider investing: https://t.co/SwK4QaXDRI

[Sunny LU @VeChain @sunshinelu24]

100% agrees - AI Tokens are just like any expenses, production materials, and like oil - oil needs to be put into truck engine and manufacture engines to create business value.

Ecosystem utilities of AI is next one to rise by natural demand and Blockchain is the one to provide trust protocols.

https://t.co/vgg0Ix05hK

[Marcos Milla @MarcosMillaYT]

The Memory Boom is here to stay...

This Wall Street CEO ( $KMEM ) believes that:
1) Micron $MU
2) SK Hynix $SKHY
3) Samsung

Will continue to have good earnings and that the cash flows for these companies will support the current valuations.

SK Hynix: ~5.7x forward P/E
Samsung: ~6–7x forward P/E
Micron: ~6.5x forward P/E

$KMEM by Kurv is allocating big to the lowest valuation memory stock (SK Hynix) of the big 3, despite leading in HBM for AI.