STIX Founder: I have received off-market sell orders from over a dozen WLFI major holders, but there are very few buyers.

STIX: Token holders face a 50% loss as over 40 billion USD worth of scam coins are about to be unlocked

Decoding the Secondary OTC Market: Buyer's Market Will Continue Until 2025 (with Interview of STIX Founder)

STIX founder suggests a 70% discount on the off-chain valuation of locked ENA.

STIX is not touching grass anytime soon STIX x @DplusKia is actually happening 💥🎮 The LoL World Champs are diving headfirst into Web3 — and we’re dropping a meme competition where your meme could become the official DK fan token logo. Yes, really. https://t.co/4SWxcFI8fD https://t.co/szZOeCFpzV

Jul 07 Crypto News: 1. STIX FOUNDER: More than a dozen WLFI whales have been commissioned for off-market sale, but very few buyers. 2. Michael Saylor Releases Bitcoin Tracker Info Again, May Increase Bitcoin Holdings Next Week. 3. U.S. Treasury Secretary Besant: tariffs will revert to April levels if no deal is reached by Aug. 1 . 4. ZachXBT: No Sui Eco related cases as they are not supported by Sui Eco. 5. Yesterday's Chain Money Flows: $12.4 Million Net Inflow for Unichain, $23.3 Million Net Outflow for Ethereum

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Wallets can be emptied faster than most realize, sometimes within moments of a single click. This guide teaches how security teams transform raw blockchain data into real-time alerts and work together to stop threats before they cause harm. 🧵👇 Introduction Hackers operate at lightning speed, forcing defenders to stay one step ahead. This article breaks down how teams turn the overwhelming flood of mempool data into precise, actionable signals. We’ll explore how advanced models and automated playbooks help close the gap between detecting suspicious activity and stopping threats in their tracks. Finally, we’ll look at how sharing threat intelligence across projects improves response times and strengthens the entire ecosystem. Together, these pieces form a playbook for defending public chains at the speed attacks happen. Streaming Feature Stores Production-grade on-chain security analytics require fast access to mempool traffic. A common architecture captures pending transactions from an Ethereum JSON-RPC or WebSocket endpoint and publishes them to an Apache Kafka topic. Open-source demonstrations show how ERC-20 transfers are streamed in real time and persisted for analytics by coupling Python clients with Kafka brokers. Within the stream-processing layer (Kafka Streams or Apache Flink), transactions are enriched into feature vectors: Opcode frequency, static disassembly of inputData or contract bytecode yields an opcode histogram per transaction; sudden spikes of CREATE2, SELFDESTRUCT, or DELEGATECALL correlate strongly with drainer campaigns. Gas anomalies, deviations from rolling medians on gasPrice and gasLimit expose sandwich bots and liquidity-rug scripts. Token-flow deltas, real-time aggregation of ERC-20 Transfer events identifies large, multi-token approvals typical of drainer kits. Feature stores built for low-latency inference (Feast, SageMaker Feature Store streaming mode) persist these computed fields so that downstream models and heuristics can score each transaction before block inclusion. The result is a continuously updated, replayable ledger of structured fraud indicators without leaking raw user secrets. LLM-Assisted Triage Large language models are increasingly embedded in Security Operations Center (SOC) workflows to accelerate alert enrichment. Operational playbooks now route phishing domains, scam-site HTML, and drainer JavaScript into GPT-class models that: Label IOCs, classify URLs or filenames as benign, suspicious, or malicious by matching them against known lexical, brand-squatting, and obfuscation patterns. Summarise context, extract victim lures, wallet-connect flows, and embedded addresses for rapid analyst review. Synthesise detection rules, output draft YARA or Suricata signatures that capture previously unseen obfuscation motifs. Field reports show that combining custom GPTs with threat-intel platforms can cut YARA-rule writing time by more than half while maintaining match precision above 0.9 F-score across validation corpora. The generated rules still require peer review, but the language model removes first-pass drudgery and surfaces novel indicators that regex-based generators often miss. Graph Neural Networks on EVM Data Transaction graphs encode rich structural signals unavailable to single-transaction heuristics. The TLMG4Eth family of graph neural networks combines sentence-level embeddings of transaction calldata with message-passing on the account-interaction graph. Experiments on multi-year Ethereum snapshots report an AUC > 0.93 when spotting funding paths linked to phishing, outperforming volume-threshold filters by 20–30 pp in recall. Complementary work on transaction-graph compression (TGC4Eth) reduces graph size while preserving malicious-account separability, enabling batched inference on consumer-grade GPUs. Together, these studies demonstrate that GNN pipelines can run near-real-time on continuously ingested graphs and surface low-degree, covert drainer nodes long before reputational blacklists update. Community Threat Intel Effective defence scales only through broad information sharing. Security working groups now publish machine-readable threat reports as STIX 2 (Structured Threat Information Expression, version 2) bundles. Signature-based indicators of compromise (IOCs) (malicious bytecode hashes, ENS domains, transaction patterns) are packaged, signed with organisational keys, and pinned to IPFS; the content identifier (CID) is then embedded in a short, on-chain announcement or pushed via TAXII (Trusted Automated eXchange of Indicator Information) feeds. Tools such as the Service Ledger pilot demonstrate end-to-end workflows where enterprises exchange encrypted STIX objects via a permissioned IPFS overlay while preserving authenticity and tamper evidence. Shared cyber threat intelligence (CTI) lowers mean-time-to-detection across ecosystems: a phishing contract fingerprint captured on one roll-up can be flagged by security tooling and have preventive rules pushed to other roll-ups within hours. As these registries mature, DAO-funded bounty programs are rewarding contributors whose intel prevents measurable losses, echoing Web2 bug-bounty economics but anchored in transparent token-based treasuries. These blue-team patterns lay the operational foundation for the more policy-oriented guardrails outlined in Part 6 of our 7 Part Series of AI Phishing, available on our profile. Sustained investment in shared feature pipelines, ML-driven graph analytics, automated multisig playbooks, and token-incentivised intel markets is essential to defend public chains at GenAI speed. How do you see the future of on-chain security shaping up?

Want your meme next? Follow these simple steps 1. Create & mint your meme on https://t.co/taIu8LK949 2. Enter the STIX weekly competition 3. Get selected by the Stickerly team and official partners as the winning meme 4. Watch your meme become a token minted with support from @clankeronbase That's it

Congratulations!! @AmaccOnTheStix, looking forward to catching you in the arena! Thank you to all that participated, stay tuned for more wins in your future...

We're turning memes into memecoins. ⭐️ Each week, a winning meme from STIX will be minted as an ERC-20 on Base using @clankeronbase AI-powered launchpad. From pixels to protocol. https://t.co/sYDrGMVjth https://t.co/qC0ATbPBoa

This week’s STIX theme is live with @clankeronbase : ⭐️ Clanker’s Rally: Show Must Go On ⭐️ Bring chaos. Bring charm. Bring your best meme. https://t.co/hPJgTWDbMx https://t.co/zflKCTdrkH

GMiggles 😸🌄 The Miggles x Stix Meme Competition is live until the 12th❗️ Want to qualify for a 1M $STIX prize pool and get featured in their future official https://t.co/pSWcDe1JUV pack? 🙀 Head over to https://t.co/PQbMhAmHQy and create the best Mr. Miggles meme ever ⚡️

😓Locked token holders have suffered heavy losses over the past year, with OTC prices falling by 50%, and a $40 billion unlock event in the future will still require discounted exits. STIX founder Taran @Taran_ss stated that locked token holders have faced huge losses over the past 12 months, with OTC prices falling by an average of about 50% compared to spot prices. In addition, considering the liquidity value during the same period and the 45% increase in #BTC, investors also bore an opportunity cost of about 31%. In the future, more than $40 billion worth of locked altcoins will be unlocked, and OTC sellers usually have to bear a discount of about 50% to exit. However, as the vesting period gradually shortens, it is expected that most tokens will be fully unlocked by 2025, and the discount is gradually narrowing.

According to STIX, locked token holders have suffered huge losses in the past 12 months, with an average drop of about 50% from OTC price to spot price. More than $40 billion of locked altcoins will be unlocked in the future, and sellers will have to accept an average discount of another 50% when exiting OTC. https://t.co/OxlUVNHE0v

Locked token holders have suffered heavy losses over the past year: OTC prices have dropped by 50%, and the future unlocking of $40 billion still requires discounted exits.

Crank that saturation until your meme screams. STIX lets you filter, tweak, and over-edit like you're making a YouTube thumbnail in 2010. Then submit it to the weekly comp https://t.co/hPJgTWCDWZ https://t.co/S7z63hKRet

TODAY’S NEWS: April 17 ⚡️ 🤝 @Ethena_labs partners with @Securitize to launch an RWA-focused blockchain in Q2, aiming to enhance scalability and streamline asset tokenization. 🚀 Eliza Labs launches Auto-Fun, an AI agent and token launchpad platform featuring “fairer-than-fair” tokenomics to support autonomous agent ecosystems. 💰 @Neutrl_labs raises $5M in a Seed funding round led by @stix_co and @Accomplices, with participation from @ambergroup_io, SCB Limited, @FigmentCapital, @nascentxyz and angel investors. #Web3 #RWA #AI #funding Visit our NEWS: 👉 https://t.co/26kgrCAGuv