According to Lookonchain, a trader deposited 3M USDC into Hyperliquid before opening large short positions, source: Lookonchain on X Jan 16, 2026 https://twitter.com/lookonchain/status/2011990361208709367. The account used maximum leverage to short 18,261 ETH valued at 60.32M dollars and 1,845 XMR valued at 1.27M dollars, source: Lookonchain on X Jan 16, 2026 https://twitter.com/lookonchain/status/2011990361208709367. The ETH short has a liquidation price at 3,380 dollars, marking a key risk level for this position, source: Lookonchain on X Jan 16, 2026 https://twitter.com/lookonchain/status/2011990361208709367; position details: Hyperliquid dashboard https://legacy.hyperdash.com/trader/0xD83516572789F1c782C8298eFce58a5600318Fd7. (Source)

According to @OnchainDataNerd, 4 hours ago 21Shares transferred 6.52k AAVE (about USD 1.11M) to Flow Traders to sell on Binance. According to @OnchainDataNerd, over the past three weeks 21Shares has sent a total of 35.7k AAVE (about USD 5.74M) to exchanges and Flow Traders. According to @OnchainDataNerd, the wallet now holds 13.54k AAVE (about USD 2.33M), and the address link was provided by the source. (Source)

According to @ai_9684xtpa, a whale bought 1,300 BTC $100,000 call options expiring 2026-02-27 on Deribit and 2,400 BTC $98,000 calls expiring 2026-01-30, paying about $10.22 million in total premium, with trade timestamps close together and unclear if they belong to the same entity (source: @ai_9684xtpa on X, Jan 16, 2026). The author estimates the position represents roughly $353 million in notional exposure and characterizes it as a 35x leveraged long targeting $100,000 (source: @ai_9684xtpa on X, Jan 16, 2026). Trading focus: monitor BTC spot and options flow around the $98K and $100K strikes into the Jan 30, 2026 and Feb 27, 2026 expiries on Deribit, as those are the reported positioning levels (source: @ai_9684xtpa on X, Jan 16, 2026). (Source)

According to @milesdeutscher, an MIT experiment scanned brain activity via EEG in 54 adults across LLM-assisted, search-assisted, and brain-only writing tasks over multiple sessions, source: @milesdeutscher citing an MIT study. The LLM group exhibited the weakest neural connectivity, with activity falling from 79 to 42 (a 47% decrease) while completing tasks 60% faster, highlighting a productivity-versus-cognition trade-off, source: @milesdeutscher citing an MIT study. The study reported that 83% of ChatGPT users could not recall what they had written minutes earlier, and researchers described the effect as cognitive debt, source: @milesdeutscher citing an MIT study. Design details included three cohorts of 18 participants each, EEG-monitored 20-minute essay sessions across 3–4 visits, a Session 4 crossover (LLM-to-brain and brain-to-LLM), and post-task interviews on quoting, ownership, satisfaction, and ethics, source: @milesdeutscher citing an MIT study. For traders, these findings question assumptions around blanket LLM productivity and may sharpen scrutiny on AI monetization narratives tied to AI-exposed equities and AI-linked crypto tokens such as FET (ASI) and RNDR, source: @milesdeutscher citing an MIT study. Watch for shifts in corporate AI-usage commentary, user-engagement metrics, and narrative momentum around AI tokens following the study’s visibility, using the study’s results as the catalyst context, source: @milesdeutscher citing an MIT study. (Source)

According to Binance, Layer 1 scaling prioritizes base-chain security and decentralization while increasing throughput more conservatively, which directly affects gas costs and settlement assurance for ETH users, source: Binance Academy. Binance explains that rollups bundle many transactions off-chain and post compressed data to Layer 1, aiming to lower fees and raise throughput while inheriting L1 security, which impacts execution costs and reliability for active traders, source: Binance Academy. Binance adds that sidechains run in parallel with their own consensus and rely on bridges to connect to the main chain, typically offering lower fees but with distinct security assumptions traders must price in, source: Binance Academy. Binance states that Optimistic rollups use fraud proofs and typically involve longer withdrawal times due to challenge periods, affecting capital mobility and settlement timing across venues, source: Binance Academy. Binance notes that ZK-rollups use validity proofs for faster finality and generally quicker withdrawals back to Layer 1, improving capital efficiency relative to long challenge windows, source: Binance Academy. Binance emphasizes that bridges and smart contracts introduce additional risk and costs when moving assets between Layer 1, rollups, and sidechains, which traders should factor into strategy execution and hedging, source: Binance Academy. (Source)

According to @GracyBitget, Europe’s MiCA gives compliant centralized exchanges a near-term growth advantage for user acquisition, listings, and volumes in the EU, shaping trading venue selection and liquidity routing; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. She adds that clearer regulation is becoming the foundation for scalable and sustainable exchange growth, which directly impacts market access and product rollout timelines for traders; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. She states that Altseason is losing relevance as a core growth narrative, indicating a shift in trading focus away from long-tail tokens; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. She notes institutional liquidity is increasingly flowing through BTC and ETH ETFs, concentrating capital and execution around BTC and ETH benchmarks that drive price discovery; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. She asserts the Universal Exchange (UEX) model is the future exchange model, guiding how traders may engage with integrated markets under unified rails; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. She also highlights that stablecoins are evolving from trading pairs into B2B financial infrastructure, making them central to settlement and treasury operations that support trading flows; source: @GracyBitget, X post https://twitter.com/GracyBitget/status/2011977658217763042. The post references Animoca Brands Research’s Digital Assets Outlook 2026 for broader context on institutional and retail themes including O2O, perpification, DEX activity, DAT consolidation, and stablecoin adoption; source: Animoca Brands Research, overview https://research.animocabrands.com/post/cmkccqamgjkze06l1rlm6nq2x and report download https://docsend.com/view/tif8cn7v3hnzw2uj. (Source)

According to @FarsideUK, on Jan 16, 2026, Franklin Templeton’s US spot Bitcoin ETF (EZBC) recorded US$0 million net flow, indicating no net creations or redemptions for the day; source: Farside Investors @FarsideUK, farside.co.uk/btc. For traders, a zero net flow implies neutral incremental demand from EZBC into underlying BTC, suggesting a flat liquidity impact from this issuer for the session; source: Farside Investors @FarsideUK, farside.co.uk/btc. (Source)

According to @OnchainDataNerd, Cumberland withdrew 1,900 ETH, valued at approximately $6.29 million, from Binance. source: @OnchainDataNerd on X, Jan 16, 2026. According to @OnchainDataNerd, the same wallet deposited 1.7 million AVNT, valued at approximately $507,000, to Bybit and Binance. source: @OnchainDataNerd on X, Jan 16, 2026. According to @OnchainDataNerd, the transfers were reported as occurring about two hours before the post, and the wallet address link was provided in the source. source: @OnchainDataNerd on X, Jan 16, 2026. Based on these on-chain flows reported by @OnchainDataNerd, traders can monitor ETH and AVNT order books and liquidity on Binance and Bybit for near-term changes in exchange activity. source: @OnchainDataNerd on X, Jan 16, 2026. (Source)

According to @FarsideUK, the Invesco Galaxy Bitcoin ETF (BTCO) recorded $0 million net flow today in its Bitcoin ETF Daily Flow update, source: farside.co.uk/btc. According to @FarsideUK, the reported figure reflects today's net flow for Invesco among U.S. spot Bitcoin ETFs tracked on its dashboard, source: farside.co.uk/btc. According to @FarsideUK, data and disclaimers for these flows are available on its site for verification, source: farside.co.uk/btc. (Source)

According to @FarsideUK, Fidelity’s US Bitcoin ETF posted a US$188.9 million net outflow on Jan 16, 2026 (source: @FarsideUK, farside.co.uk/btc). The figure is reported on @FarsideUK’s Bitcoin ETF Daily Flow tracker for U.S. spot Bitcoin ETFs and reflects that day’s net flow for Fidelity (source: @FarsideUK, farside.co.uk/btc). (Source)

According to @FarsideUK, Fidelity’s U.S. spot Ethereum (ETH) ETF recorded $0 million in daily net flow on Jan 16, 2026 (source: X post https://twitter.com/FarsideUK/status/2011975214280646732 and dataset https://farside.co.uk/eth/). According to @FarsideUK, the ETH ETF flow tracker at farside.co.uk/eth provides the full issuer-level dataset and disclaimers for that date (source: https://farside.co.uk/eth/). (Source)

According to @OnchainLens, over the past 2 days a whale swapped 363 BTC (about $34M) for 10,390.5 ETH at an average price of $3,273 via ThorChain, source: Onchain Lens X post dated 2026-01-16; ThorChain explorer address 0xF73a4EbC3d0984F166AC215471Cc895cB4F5cc21; Arkham Intelligence address page. The implied ETH/BTC rate was roughly 28.63 based on 10,390.5 ETH divided by 363 BTC, source: Onchain Lens figures; ThorChain explorer records. The involved wallet is 0xF73a4EbC3d0984F166AC215471Cc895cB4F5cc21 and can be monitored on ThorChain and Arkham Intelligence for further on-chain movements, source: ThorChain explorer; Arkham Intelligence. (Source)

According to @FarsideUK, the US Bitcoin ETF daily flow for Ark is reported as $0 million on Jan 16, 2026, as shown on farside.co.uk/btc. According to @FarsideUK, this figure reflects the daily flow in USD for Ark within the US Bitcoin ETF lineup, with methodology and disclaimers available on farside.co.uk/btc. According to @FarsideUK, traders tracking BTC can reference the zero flow for Ark alongside other issuer flows on farside.co.uk/btc for context. (Source)

According to @FarsideUK, the VanEck US spot Bitcoin ETF recorded US$0 million in daily flow, source: Farside Investors @FarsideUK post on X and Farside BTC ETF flow dashboard at farside.co.uk/btc. Additionally, 5% of profits from the VanEck product are allocated to Bitcoin developers, source: Farside Investors @FarsideUK. (Source)

According to @EmberCN, a whale moved 3,000,000 USDC into Hyperliquid and built a 25x leveraged short totaling 18,260 ETH over the past 3 hours, with notional around USD 60.56 million (source: @EmberCN). According to @EmberCN, the position’s entry is USD 3,292, spot was USD 3,316 at the time reported, and the liquidation price is USD 3,380, only about USD 60 above spot (source: @EmberCN). According to @EmberCN, the account shows an unrealized loss of roughly USD 440,000, and the liquidation level is very close due to the high leverage (source: @EmberCN). (Source)

According to @iampaulgrewal, Coinbase will keep fighting for customer rights and for the 52 million Americans that have used crypto, emphasizing that competition—not monopoly—should allow people to earn more on their money (source: @iampaulgrewal on X referencing a Coinbase video post, Jan 16, 2026). For traders, this post provides a concrete U.S. adoption datapoint (52 million users) and confirms ongoing policy advocacy by a major U.S. exchange, with no specific product or pricing changes disclosed in the statement (source: @iampaulgrewal on X referencing a Coinbase video post, Jan 16, 2026). (Source)

According to @EmberCN, Bitmine purchased 24,068 ETH via FalconX roughly 10 hours ago for about $80.57 million. Source: @EmberCN on X, Jan 16, 2026. According to @EmberCN, Bitmine has staked over 1.7 million ETH worth about $5.65 billion, representing around 40% of its total 4.17 million ETH holdings. Source: @EmberCN on X, Jan 16, 2026. (Source)

According to @hyperbolic_labs, Hyperbolic has expanded H200 availability at a $1.99 per hour on-demand rate with VM and RoCE networking, and instances can be spun up in minutes, source: Hyperbolic on X, Jan 16, 2026. According to @hyperbolic_labs, longer reservations with discounts and dedicated model hosting for guaranteed capacity are also available, source: Hyperbolic on X, Jan 16, 2026. According to @hyperbolic_labs, at $1.99 per hour the implied per-GPU cost is approximately $47.76 per day and about $1,433 per 30 days, while an 8-GPU allocation would be roughly $382 per day and $11,462 per 30 days, calculations based on the stated rate, source: Hyperbolic on X, Jan 16, 2026. According to @hyperbolic_labs, these concrete rates provide a public reference for AI compute pricing that traders can use to benchmark operating costs for AI infrastructure plays and crypto projects offering model inference or training, source: Hyperbolic on X, Jan 16, 2026. (Source)

According to @jessepollak, Football.Fun’s $FUN completed a successful token generation event and is now live and tradable across Base, Solana, and centralized exchanges (Source: @jessepollak on X). The project states $FUN powers the biggest consumer app on Base and is among the fastest-growing apps in crypto, with a TGE explainer video provided for further details (Source: @jessepollak on X). (Source)

According to @OnchainLens, wallet 0xE9D bought 11,089 AAVE (about 1.9M USD) from Kraken after a month, indicating an on-exchange outflow of that size from Kraken (source: X post on Jan 16, 2026 — https://twitter.com/OnchainLens/status/2011962943152537607). The same source reports the address now holds 355,093 AAVE valued at roughly 59.15M USD and carries 30M USD in debt (source: X post — https://twitter.com/OnchainLens/status/2011962943152537607; Arkham Intelligence — https://intel.arkm.com/explorer/address/0xE9D05440ED65D6BF7Ccf44d0f1a747B11F31259b and https://intel.arkm.com/explorer/address/0x372cAE7fA19b81A9786A9081704EA1e2DAD576b7). Traders can monitor subsequent flows and collateral-liability changes via the cited Arkham Intelligence address pages for real-time on-chain verification (source: Arkham Intelligence — the same address pages above). (Source)