$NEAR This Correction Is A Gift 🎁 NEAR Protocol is pulling back to retest the broken resistance as new support on the weekly chart right after printing the most bullish monthly candle in its history. Retests after moves like that present great buying opportunities. And while the price dips, #NEAR is expanding into tokenized stocks through Ondo, giving users access to NVIDIA, Apple, Tesla and more. Target levels: 🎯 $5.60 🎯 $8.50 🎯 $12.00 🎯 $20.00

The next $NEAR pump up will be violant

If NEAR repeated Bitcoin’s percentage move in the two months after its spot ETF started trading, it would be around $7.30–$7.70.

NEAR Intents had its best fee month of the year in September. That followed NEAR's move to make Hyperliquid perps private by default. Deposits from other chains reach those positions through swaps on NEAR Intents. Privacy also gives users a reason to keep funds on NEAR Intents between trades. Confidential balances there passed $70M on launch day. This could be an early sign that demand is turning into real usage.

We just launched the reimagined near​.com. Crypto, stocks, perps, and yield share one consistent design. Home rolls it all into one total. ⌘K searches everything. Same features. But an amazing new experience. We hope you love using it as much as we loved building it. ❤️

If $RUNE should be the de facto DEX for Bitcoin, ethereum, ZEC and Moreno then it becomes nearer to UNI mcap relative to Ethereum's mcap. This is around $90 to $200 per $RUNE

The funds from the $3.8M NEAR Intents exploit have been returned, just one day later, and the investigation is closed. Thanks to SHIELD, the AI security layer on Intents, along with some aggressive detective work, the Intents team identified the party responsible less than 24h after the hack, established communication, and got the funds back in full at 14:30 UTC today. Thank you to @alexauroradev and the whole @near_intents team for this fast and clean resolution – as well as the broader @NEARProtocol ecosystem and SHIELD partners for the support and help. There’s been relentless work over the past 24 hours by so many people to make this right and it is a great testament to this community’s values and determination. To echo Alex: for security researchers looking for exploits, we encourage you to use bug bounties. They exist for a reason. At NEAR, we believe that privacy is a right, but not as a way to facilitate crime. Our technology is built to expand human agency and opportunity, not to facilitate criminal activity. The events of the last week have shown the value of SHIELD to find suspicious activity before things escalate too far, as well as to accelerate resolution so the vast majority of legitimate users are not affected. Confidentiality cannot come at the expense of lawfulness and I strongly believe it doesn’t have to. We’ve learned a great deal from this incident and work is already underway to harden our security systems and further adapt to the changing cybersecurity landscape. AI may be accelerating exploits, but it can also help us defend against them. I hope our entire industry responds with vigilance and feels the same sense of urgency to work together.

$NEAR vs tron:native

$NEAR ascent resumes soon.

THORChain didn't launch zcash:native for the @bitget hacker. it was targeting April, sorry to break it to ya. what launched today is a native ZEC pool on @THORChain . right now it holds 0.14 ZEC and 237 $RUNE. about $355 total. 8 actions so far. 5 swaps. one BTC -> ZEC swap has already settled to a transparent Zcash address. that's the product: native asset in, native ZEC out. no account, and most definately no desk approving the trade. the pool is microscopic for now. the biggest swap put in about $48 of ZEC and got about $38 of RUNE back. the ZEC side is transparent and shielding is a second step in your own wallet. THORChain isn't the privacy layer - it's the permissionless route to it. the route is live, and the pool is $355 deep. Live ZEC pool state gateway.liquify.com/chain/th… Full ZEC pool action history gateway.liquify.com/chain/th… Current inbound/vault addresses - search ZEC gateway.liquify.com/chain/th…

$QNT macro Elliott Wave structure If this count is correct, classical Wave 5 projections point toward a $60–80B market cap zone. Zoom out! Know what you hold… $QNT 🔥

Probably a good time to drop my October watchlist. so here it is: I’m watching both the catalysts coming up and how these names handle fresh supply - $AERO: Aero’s merger and expansion across seven chains is scheduled for Oct 21, one of the clearer DeFi catalysts this month - $SUI: Basecamp on Oct 7–8, with product reveals around AI agents and payments, which can make SUI more than just a L1 - $MON: Privacy infrastructure reveal on Oct 6, keeping this on the list to see what they actually unveil - $ZEC: NU7 testnet on Oct 6 and the mainnet activation decision on Oct 20, giving the privacy trade more dates to work with - $HYPE: Contributor unlock scheduled for Oct 6 - $ENA: Final investor unlock scheduled for Oct 5, interesting to see how price handles that overhang clearing, although team vesting continues - $ZRO: Oct 20 unlock, with ATLAS still targeted for later this year, so there’s both supply and launch expectations to watch - $UNI and $BCH: CME futures planned for Oct 19 pending regulatory review, a date worth tracking for positioning into the launch - $ETH: Glamsterdam’s Sepolia test targeted for Oct 6, keeping the L1 scaling roadmap in play ahead of the planned Q4 mainnet upgrade - $CC: DTCC’s tokenization rollout targets October with Canton among the networks, watching how much institutional activity follows - $FIL: Protocol Labs and Foundation vesting ends Oct 15, cutting new supply entering circulation by roughly 75%, enough to keep it on my radar - $ARB: Monthly unlock scheduled for Oct 16, interested in whether buyers absorb the supply and price holds up afterwards Also carrying these into October, with ongoing developments rather than a fixed launch date this month - $NEAR: First full month of Bitwise ETF flows after the September launch, alongside Intents adoption, watching whether demand keeps following through - $AAVE: V4 passed $1B in deposits and expanded to Base and Arc, so it stays on my list for a DeFi rotation - $INJ: CypherOS is targeting Q4, another privacy development to watch, with an exact launch date still pending - $PENDLE: Teasing PT/YT markets for assets without yield, curious about the mechanics and which assets it could open up next

$BTC → Satoshi Nakamoto. Still anonymous. $ETH → Vitalik Buterin. Came up with the Ethereum idea as a teenager. $SOL → Anatoly Yakovenko. Former Qualcomm engineer. $ONDO → Nathan Allman. Former Goldman Sachs digital assets team. $SUI → Evan Cheng, Sam Blackshear and others. Built by former Meta Libra/Diem engineers. aptos:native → Avery Ching and team. Came from Meta’s Diem blockchain team. $MORPHO → Paul Frambot. Started building DeFi lending infrastructure at a young age. $INJ → Eric Chen & Albert Chon. Started with Ethereum, then built a chain focused on finance. $TIA → Mustafa Al-Bassam. Blockchain scalability researcher and former Chainspace co-founder. $KAS → Yonatan Sompolinsky. Known for the GHOST research cited in the Ethereum whitepaper. $SEI → Jay Jog & Jeff Feng. Built a blockchain focused on high-speed trading. solana:HZ1JovNiVvGrGNiiYvEozEVgZ58xaU3RKwX8eACQBCt3 → Early contributors + Douro Labs. Built to bring real-time financial market data on-chain. $NEAR → Illia Polosukhin. Co-author of the Transformer paper that helped shape modern AI. $UNI → Hayden Adams. Built Uniswap after losing his job and learning to code. $AAVE → Stani Kulechov. Was studying law in Finland when he started building DeFi lending. $LINK → Sergey Nazarov. Spent years focused on connecting blockchains with real-world data. $ZEC → Zooko Wilcox. Spent decades working on cryptography and privacy. $TRX → Justin Sun. Paid millions for a lunch with Warren Buffett. $PENGU → Luca Netz. Bought Pudgy Penguins when the project was struggling and helped revive it. $DOGE → Billy Markus & Jackson Palmer. Started as a joke and became one of crypto’s longest-surviving memes. $SHIB → Ryoshi. Stayed anonymous, deleted all posts, and disappeared. $PEPE → Anonymous team. The meme and community became bigger than the people behind it. solana:WKMZummev5UcXz5nNKQZvTD6QjNSM2X58uwmDReondo → Durov brothers. Started as Telegram Open Network before becoming community-led. $AVAX → Emin Gün Sirer. Cornell professor and longtime distributed-systems researcher. algorand:native → Silvio Micali. MIT professor and Turing Award winner. $FIL → Juan Benet. Created IPFS before building Filecoin. ethereum:0x6de037ef9ad2725eb40118bb1702ebb27e4aeb24 → Jules Urbach. Spent years building GPU rendering technology. $CHZ → Alexandre Dreyfus. Came from online gaming and poker before entering sports fan tokens. $DOT → Gavin Wood. Ethereum co-founder and one of the early designers of Solidity. $ADA → Charles Hoskinson. Ethereum co-founder who later built Cardano. Most people know the ticker. Few know who built it. Save this list and repost it for your timeline. Which founder story surprised you the most? Drop it in the comments.👇👇👇

Thorchain LPs will need $ZEC for liquidity real soon.

#NewPerpsListing: $QUANT @quantnetwork builds the infrastructure of programmable money, using Overledger and QuantNet to connect banks, blockchains, tokenised deposits, and traditional payment rails. QUANTUSDT global Perpetual Futures trading is now available on OKX.

JUST IN: THORChain launches a native $ZEC liquidity pool THORChain has completed its network churn and now supports Zcash, giving $ZEC a permissionless trading route.

The $ZEC pool is now live on THORChain. The network churned and every node is watching the Zcash chain. @Zcash now has a truly permissionless venue. Trading is the next step. Liquidity is shallow for now and will grow over time, so trade with caution in the early days.

China built an AI that works like a human brain and it's 100x faster than current LLMs while using 97% less energy. It’s called SpikingBrain, a family of brain-inspired large models that completely re-engineers how AI processes information. Instead of burning endless energy on continuous matrix multiplications like traditional Transformers, SpikingBrain uses adaptive spiking neurons. It mimics actual biological firing patterns. Neurons only activate when triggered by specific events, meaning the model achieves a staggering ~69% sparsity at the micro level. It doesn't waste compute on silence. It only thinks when it needs to. And results change the game for long-context processing: • Achieves over a 100× speedup in Time to First Token (TTFT) for massive 4M-token sequences. • Matches performance with advanced open-source Transformer baselines while using a fraction of the data. • Built to run and scale stably on non-NVIDIA hardware clusters (like MetaX chips), completely bypassing Western hardware dependency. We spent years trying to brute-force bigger AI models by throwing more electricity and silicon at them. Nature figured out how to do it efficiently millions of years ago.