𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER

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𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER

𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER

@BowInvest

// $KAITO—— // JOIN YAPPER - #KAITO , | Content Creator at @KaitoAI | @cookiedotfun | @bantr_fun | @chain_gpt |

Katılım Mayıs 2019
4.9K Takip Edilen4.2K Takipçiler
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𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER
gm took a full afternoon to run a clean prompt→result story on @OpenledgerHQ and it clicked why this isn’t just another “AI on chain” slogan started in Studio, slid a curated csv into the Datanet, flipped on deterministic hashing, and watched attribution mint without me babysitting anything. lineage showed up as an auditable trail: my source, transformations, and final dataset all stitched and verifiable. no trust me bro, no silent edits. the on-chain view makes the work feel like an asset, not throwaway fodder #ProofOfAttribution #InfoFi then moved to Model Factory: picked a tiny slm, toggled OpenLoRA for low-friction fine-tuning, and got a serving endpoint up without wrangling infra. turned on x402 so the agent could self-fund inference and settle out to contributors. a few test runs later, a small $OPEN micropayment hit my wallet tied to that exact job, with receipts stamped on-chain. attribution in → value out, programmatic and transparent. this is how #AgenticAI should operate the before/after is stark. before: API keys, opaque dashboards, zero visibility into who enabled a model’s edge. after: data owners credited, models traceable, agents pay as they go, and developers aren’t stuck in platform lock-in. i’m not chasing a leaderboard here; i’m building a loop where my data earns, my models improve, and every step is audit-friendly. add in the mainnet stability and the stack feels ready for real workflows, not just demo theater. $OPEN is quietly turning attention and effort into an economy that respects origin who’s spun up their first agent with x402 and OpenLoRA, and what did you learn about pricing inference when the receipts are verifiable in real time?
𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER tweet media
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Keng
Keng@kengdaica·
stablecoins quietly became a macro variable for a long time, stablecoins were treated as a crypto convenience. today, they sit at 1.3% of U.S. M2. that number changes the conversation completely. when an instrument grows 5,000x in six years, it stops being a niche product and starts behaving like monetary infrastructure. The Fed doesn’t get to ignore something that large, no matter where it originated. what’s interesting is that this shift didn’t come from policy. It came from usage. platforms like @Noble_xyz didn’t try to disrupt monetary policy. They simply built rails that people actually use. The macro effects are now following the micro decisions of millions of users.
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Keng@kengdaica

Stablecoins stopped being a crypto niche Stablecoins now represent 1.3% of the entire US money supply. That’s not a DeFi stat anymore. That’s a monetary one. A 5,000x increase since 2018 tells me this isn’t experimentation. It’s infrastructure being adopted faster than most people realize. Noble isn’t betting on narratives. It’s positioning itself where real money already decided to go. @Noble_xyz

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Daddy Hey@0xdaddy_hey·
gm fam @noble_xyz is quietly becoming the backbone for real world assets onchain. built on cosmos, it offers fast block times and extremely low fees, which actually matters at scale. institutions can issue stablecoins and tokenized assets without dealing with fragile bridges or complex setups. security is baked into the issuance layer, not bolted on later. for users, this means smoother transfers and cheaper transactions. for builders, it means less infra pain and faster execution. noble isn’t chasing hype, it’s building the rails enterprises actually need
Daddy Hey@0xdaddy_hey

with noble dollar, the math finally makes sense. transactions cost around $0.01, not dollars. the ~4% yield generated by real t-bill backing flows to users and integrators, not the issuer. most stablecoins do the opposite: they keep the yield and still charge high fees, recreating the same rent-seeking payment rails crypto was meant to replace. @noble_xyz isn’t adding another stablecoin. it’s fixing the incentive model behind money itself

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nbaluong
nbaluong@luong4101992·
GM Homie I saw the update- @MemeMax_Fi is set to launch both its platform and token in January 2026. MemeMax is positioning itself as a perpetual DEX built around meme culture, blending DeFi-level execution speed with community-driven trading dynamics. The January launch marks the beginning of a much larger ecosystem, with more modules and rollout details expected soon. If you’re looking ahead, this is the phase that matters most. Ranking and positioning are being shaped now, not after launch. Staying active, engaging consistently, and contributing to the ecosystem early is the best way to secure a strong spot on the leaderboard before the token goes live. $M @KaitoAI
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Jason傑森 🇭🇰 | 🛠️@cheuk_baby

创意变现的快乐,MemeMax实习生考核结果出炉 @MemeMax_Fi 早上好啊各位家人们。今天早起拉开窗帘看到阳光洒进来的那一刻心情真的超级好,特意没去楼下买咖啡而是自己手冲了一壶,看着热水慢慢渗透咖啡粉的过程特别治愈,那种香味弥漫在整个屋子里让人觉得生活其实就在这些细碎的瞬间里。最近作息调整得还不错,感觉整个人的状态都回来了,不再是那种盯着K线焦虑的疲惫感,而是能静下心来去思考和感受。刚才在阳台一边喝咖啡一边刷推特,看到楼下那只流浪猫又在晒太阳,这种慵懒的节奏真的太舒服了,有时候我们在币圈冲得太快,真的需要这种时刻来给自己充电,毕竟投资是一场马拉松,保持好心态比什么都重要。 刚才翻看消息的时候注意到前几天大家玩得很嗨的那个给实习生加五官的活动终于出结果了。这就不得不提 @MemeMax_Fi 这次活动的精妙之处,他们不仅仅是搞个简单的抽奖,而是通过让用户给那个空白的实习生形象添加眼睛嘴巴,实际上是在做一场极具参与感的品牌共创。我看官方已经宣布选出了获胜者,而且所有得到实习生回复的朋友都有资格获得5个MaxPacks,这种即时反馈机制在现在的市场环境下非常重要。透过这个现象我们可以看到现在的Web3运营逻辑正在发生深刻变化,以前是项目方单向输出,现在是看谁能调动社区的创造力,这种自下而上的叙事往往比枯燥的技术白皮书更有传播力。这次奖励的分发将在24小时内完成,这种执行力也是考察一个项目靠不靠谱的关键指标,毕竟在注意力稀缺的时代,拖延就意味着热度的流失。 其实深究下去你会发现,这类Meme文化的内核就是要把冰冷的代码和代币赋予人格化的特征。大家费尽心思把一个AI形象变得像人一样,甚至搞怪或者混乱,本质上是在寻求一种情感投射和群体认同。这种文化溢价在未来的加密市场中会占据越来越大的比重,因为技术可以复制,但社区的这种独特氛围和梗文化是无法被轻易fork的。我也一直在观察这次活动的参与数据,感觉大家对这种既能展示创意又有实际空投预期的活动毫无抵抗力。MaxPacks里面到底装着什么惊喜还挺让人期待的,这不仅仅是几个包的问题,更是在验证这种互动式空投模型的可行性。如果你之前参与了记得去检查一下有没有收到回复,在这个市场里永远不要忽视每一个微小的参与机会,因为很多大毛往往就藏在这些看似不起眼的互动里。 大家都去看看自己是不是那个幸运儿,也欢迎在评论区晒晒你们拿到奖励的喜悦,美好的一天从收获开始。

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CaTQ@catqpx·
most robotics timelines fall apart after the demo phase. not because robots lack intelligence, but because there’s no real system for coordination, permissions, or accountability once they’re deployed. that’s why @openmind_agi focusing on rules, verification, and agent coordination actually matters. intelligence scales fast. chaos scales faster. the teams building for that reality are the ones worth paying attention to.
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CaTQ@catqpx

gm fam @openmind_agi is quietly building what most robotics teams avoid tackling head on. → a decentralized operating system for robots and autonomous agents → om1 coordinating perception, decision making, and execution across physical and digital worlds → fabric handling low latency communication and action alignment between machines the interesting part isn’t just autonomy, it’s coordination at scale. by layering blockchain primitives and dao style governance underneath, openmind introduces trust minimized control and incentive alignment for machines that act on their own. if autonomous systems are going to operate in the real world, this kind of shared, verifiable coordination layer feels inevitable.

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Tbros6868
Tbros6868@tbros6868·
Most AI in crypto reacts after the candle. @TheoriqAI is trying to anticipate it, with agent collectives that read signals together and coordinate moves onchain. The difference between reacting and coordinating is small on paper, big in practice #AI #onchain I tried AlphaVault to see if the signals actually turn into positions. It felt clean: structured inputs → an actual strategy instead of noise. $22M+ deposited by ~2.6k users isn’t hype, it’s usage. That matters They’re also doing the boring-but-critical stuff: self-managing the CoinMarketCap dashboard via official email. Standardized info across platforms, fewer third-party mismatches. Infrastructure before clout Some context: Coinbase added $THQ to their roadmap, Kaito launchpad was ~40x oversubscribed, pre-market hovered around $0.11 (~$110M FDV) vs $75M sale, TGE around Dec 16. Old way = reactive bots. New way = coordinated agents + clear info rails $THQ #InfoFi Fair price at launch or wait for post-TGE price discovery?
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Tbros6868@tbros6868

Gm CT ☕️ ever wonder what happens when ai agents start managing defi moves for you instead of your spreadsheets? @TheoriqAI ➠ vault routing that reacts in real time ➠ yield shifts handled by agents not vibes ➠ boosted rewards that don’t gate small accounts how does it work? deposit eth → tqETH vault → agent allocator → boosted $THQ dropped some eth into alphavault through turtle and finally saw how theoriqai actually runs agentic defi it routed into the vault of vaults the allocator kept nudging between lido strategy and chorus one mev max whenever onchain signals flipped no manual switches no risk games i’m just holding tqETH while the swarm handles the boring parts ngl the bootstrapping meta is spicy nitro boosted $THQ until tge plus a 7 day leaderboard with 500k $THQ for the top 250 zero minimums so smaller consistent accounts legit have a shot with turtle’s 400k wallets plugged in this feels like agent managed liquidity at scale i’m not saying i’m farming like a giga brain bro but i’m grinding the board before tge you jumping in now or waiting for mainnet vibes

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Giang
Giang@truonggiangle99·
Most people think “privacy” in crypto just means hiding balances. Zama goes much deeper. With FHEVM, every claim or transfer is encrypted from the wallet to the contract state. When you claim tokens: – Amount is encrypted client side – Tx hits the chain as ciphertext – Smart contracts compute directly on encrypted data – Balance updates stay encrypted on chain – Only your wallet can decrypt the result No validator, RPC, explorer, or MEV bot ever sees your balance. Transfers work the same way: – Encrypted balance checks – Encrypted subtraction & addition – Encrypted state for sender and receiver The heavy FHE math is handled by Zama’s coprocessors, not validators, which is why they can already reach ~20+ TPS and scale to 1k–10k TPS with FPGA/ASIC. This isn’t “hide the UI” privacy. It’s encrypted logic + encrypted state + encrypted execution. That’s a fundamentally new trust model for on chain assets. @zama #ZamaCreatorProgram
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Giang@truonggiangle99

Vì sao yap về @zama ? Vì FHE là hạ tầng thật, không phải narrative. Vì Verified + người thật, bot không có cửa. Vì thuật toán X đang đẩy Zama rất rõ. Vì OG còn mở vào sớm là lợi thế. Vì ZAMA là chân ái. #ZamaCreatorProgram

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YSC 🪬
YSC 🪬@youngsugarcoat·
"What it feels like playing @playcambria with a guild vs playing without a guild"
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Nessa🎀💜
Nessa🎀💜@GoodnessDeFi·
Sometimes, I look at what’s happening on @arbitrum ❤️ and the whole thing reminds me of that moment when a place starts getting busy before anyone announces anything That’s exactly the vibe arbitrum is giving right now. arbitrum is in that zone right now. ➻Almost $4B in DeFi liquidity sitting comfortably. ➻Around $4.7B in stablecoins parked like people already made their decision. ➻The wild part is the daily activity. Roughly 370k people actually use the chain, not talking about it, just using it. That kind of movement doesn’t happen on a dead network. It only happens when the chain is genuinely the best! Shout out to my arb legends @BFreshHB @OVGNFT , @ajwarner90 ,@MarcinPress ,@binji_x, @ImozemhePeniel, and so manyyyy I can't tag rn.
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Ohmann张奥曼
Ohmann张奥曼@btcohmann·
先给兄弟们显摆一下昨天我和销售打劫来的极氪小熊,再说说Sei @SeiNetwork ,他们最近发展势头很猛,大家的注意力都集中到他身上来了,他在很多方面都有进步 - 技术不断创新,比如速度更快、更稳定 - 媒体曝光多了很多 - 大机构开始推出相关产品 - 生态里新项目越来越多 - DeFi新玩法层出不穷 - 项目本身赚钱能力增强 - GameFi玩家超级活跃 - 社区和合作伙伴越来越多 这些变化说明,Sei 不再只是一个普通的高性能 Layer 1 链,他正快速变成全球资本市场的重要基础设施,加上即将上线的 Giga 大升级、机构资金接入、生态大爆发,现在传统金融、DeFi 和普通消费者应用都在往 Sei 上靠 到 2025 年底,Sei 的数据也很亮眼,终身交易量超过 40 亿笔,锁仓价值超过 6 亿美元,用户数量破亿,未来如果 Giga 升级顺利上线再加上潜在的 ETF 获批,Sei 很可能成为数字资产交易的核心结算层,就像高速高速公路一样,让一切跑得更快更顺 原来的口号Markets Move Faster on Sei现在已经不是空话,而是真正在变成现实,Sei 特别适合高频交易这种需要超快速度的场景,值得大家继续关注他吖~
Ohmann张奥曼 tweet media
Sei@SeiNetwork

New surfaces. Next-gen infrastructure. TradFi access. The full spectrum of capital markets is converging on Sei. Here are a few developments you might have missed this week 👇 🔴 @Sei_Labs published "The Evolution of Consensus" unveiling the architectural thesis behind Sei Giga: x.com/Sei_Labs/statu… 🔴 @JustinBarlow joined Hankyung TV’s Spotlight—Korea’s leading national economic news channel—for a live segment covering Sei: x.com/SeiNetwork/sta… 🔴 Canary Capital filed an updated prospectus for the Staked SEI ETF, marking a key step in the SEC review process: x.com/SeiNetwork/sta… 🔴 @tenxprotocols, a DAT company participating in staking and validator activity across L1 networks, went public on the TSXV: x.com/SeiNetwork/sta… 🔴 A new perp DEX on Sei, @toro_dex, went live: x.com/toro_dex/statu… 🔴 @Kindred_AI generated $1.85M of revenue in one week, selling 268k SATO units: x.com/Kindred_AI/sta… 🔴 @seimurai_gg drove 10k+ transactions with 2,800+ new wallets in just three days of Closed Beta: x.com/seimurai_gg/st… 🔴 @okutrade introduced a limited edition Sei x Oku jersey drop: x.com/okutrade/statu… Markets Move Faster on Sei. ($/acc)

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Ohmann张奥曼
Ohmann张奥曼@btcohmann·
最近有点无聊,我真的没亏麻 给你们看一下当代币圈人的精神状态,是不是还不错😘
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🌱Esso
🌱Esso@mohdesso·
Nowadays our plates are full, there is no longer free time to spare Between checking charts, researching setups, managing execution, tracking positions and keeping up with InfoFi, it starts to feel like a full time job with overtime. The load was too much that i was sleeping less and used to forget tasks, until i came across @Velvet_Capital for my trading activities - When I need market insight, Unicorn AI is already scanning and filtering for me. - When I want trades executed cleanly, the system handles routing without me having to jump between tools. - When positions need monitoring or rebalancing, Agents take care of it in the background. - When I just want clarity, everything sits in one place instead of across ten tabs. Velvet doesn’t give me more things to manage. It removes tasks rom me, so I can focus on decisions and not maintenance. In a space that never slows down, having a system that works while you don’t is the real edge. Be Velvet guys, be free
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𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER
gm took a full afternoon to run a clean prompt→result story on @OpenledgerHQ and it clicked why this isn’t just another “AI on chain” slogan started in Studio, slid a curated csv into the Datanet, flipped on deterministic hashing, and watched attribution mint without me babysitting anything. lineage showed up as an auditable trail: my source, transformations, and final dataset all stitched and verifiable. no trust me bro, no silent edits. the on-chain view makes the work feel like an asset, not throwaway fodder #ProofOfAttribution #InfoFi then moved to Model Factory: picked a tiny slm, toggled OpenLoRA for low-friction fine-tuning, and got a serving endpoint up without wrangling infra. turned on x402 so the agent could self-fund inference and settle out to contributors. a few test runs later, a small $OPEN micropayment hit my wallet tied to that exact job, with receipts stamped on-chain. attribution in → value out, programmatic and transparent. this is how #AgenticAI should operate the before/after is stark. before: API keys, opaque dashboards, zero visibility into who enabled a model’s edge. after: data owners credited, models traceable, agents pay as they go, and developers aren’t stuck in platform lock-in. i’m not chasing a leaderboard here; i’m building a loop where my data earns, my models improve, and every step is audit-friendly. add in the mainnet stability and the stack feels ready for real workflows, not just demo theater. $OPEN is quietly turning attention and effort into an economy that respects origin who’s spun up their first agent with x402 and OpenLoRA, and what did you learn about pricing inference when the receipts are verifiable in real time?
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Prerada.eth
Prerada.eth@HOLSTON20121·
gm 花了一个下午把 prompt→result 的完整故事跑通,突然明白这不是又一句“AI on chain”的口号 先在 Studio,把精挑的 csv 丢进 Datanet,开了确定性哈希,静静看着 attribution 自动 mint。血统直接变成可审计的链上轨迹:源头、变换、最终数据集都被缝合、可验证。不要“trust me”、不要悄悄改动。链上视角把工作变成资产,而不是一次性内容 #ProofOfAttribution #InfoFi 接着进 Model Factory:选了个小 slm,开 OpenLoRA 低摩擦微调,服务端点起来不需折腾 infra。打开 x402,让 agent 自行为推理付费并结算给贡献者。几次测试后,一个小额 $OPEN 微付打进钱包,收据链上盖章。归属进 → 价值出,程序化又透明,这才是 #AgenticAI 之前:API key、黑箱面板、没人知道谁让模型起作用 之后:数据拥有者获利、模型可追溯、agent 随用付费、开发者不被平台绑架 主网稳定性加持,整套堆栈像是为了真实工作流而来,不只是 demo 在 @OpenledgerHQ 上做完这一套后,谁还说“AI on chain”只是口号? 谁已经用 x402 + OpenLoRA 启动第一个 agent?在收据能实时验证时,你对推理定价学到了什么?
𝓐𝓷𝓭𝓻𝓮𝓮.eth 🌊RIVER@BowInvest

gm took a full afternoon to run a clean prompt→result story on @OpenledgerHQ and it clicked why this isn’t just another “AI on chain” slogan started in Studio, slid a curated csv into the Datanet, flipped on deterministic hashing, and watched attribution mint without me babysitting anything. lineage showed up as an auditable trail: my source, transformations, and final dataset all stitched and verifiable. no trust me bro, no silent edits. the on-chain view makes the work feel like an asset, not throwaway fodder #ProofOfAttribution #InfoFi then moved to Model Factory: picked a tiny slm, toggled OpenLoRA for low-friction fine-tuning, and got a serving endpoint up without wrangling infra. turned on x402 so the agent could self-fund inference and settle out to contributors. a few test runs later, a small $OPEN micropayment hit my wallet tied to that exact job, with receipts stamped on-chain. attribution in → value out, programmatic and transparent. this is how #AgenticAI should operate the before/after is stark. before: API keys, opaque dashboards, zero visibility into who enabled a model’s edge. after: data owners credited, models traceable, agents pay as they go, and developers aren’t stuck in platform lock-in. i’m not chasing a leaderboard here; i’m building a loop where my data earns, my models improve, and every step is audit-friendly. add in the mainnet stability and the stack feels ready for real workflows, not just demo theater. $OPEN is quietly turning attention and effort into an economy that respects origin who’s spun up their first agent with x402 and OpenLoRA, and what did you learn about pricing inference when the receipts are verifiable in real time?

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Min
Min@cukyn1812·
Good morning. @StandX_Official is quietly proving a point most DeFi protocols miss. Stablecoins shouldn’t just sit there. DUSD is holding its peg, now past $160M in market cap, earning real yield by default - no staking, no lockups, no friction. Just hold, and it works. Built into StandX perps, your margin keeps compounding while you trade. This is capital designed to stay productive, day and night. Wake up. StandX is already at work.
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Min@cukyn1812·
gSent What SERA gets right is something most AI systems still miss: reasoning starts with routing, not answering. Before @SentientAGI lets the model think, it first makes the task explicit - risk assessment for DOGE, not vague “crypto risk”. That sounds simple, but clarity at this stage determines everything downstream. Resolving the asset comes next, because confusing DOGE with DOGE-themed tokens quietly breaks analysis. Then embeddings don’t search for content, they route the query to the right indices. One index grounds the system in market reality: volatility, supply, concentration, and curated research. The other index constrains the reasoning frame with a risk-focused template. This is the key insight. Sentient doesn’t let the model wander into “interesting but irrelevant” information. It forces alignment with user intent before synthesis begins. That’s why SERA feels different from chat-based research tools. It’s not trying to be broadly helpful, it’s trying to be precisely correct. I’m bullish because this is infrastructure thinking, not prompt tuning. And infrastructure is what lets open AGI scale without collapsing under complexity. Which part of this routing layer do you think matters most long term?
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Sabrina (✸,✸)
Sabrina (✸,✸)@scorona54·
GM everyone ☀️ Scorona54 asked: 존나게 부자 될 준비가 되었어? Short answer: yes but not the clickbait kind Wealth in crypto comes from discipline, time, and alignment with real builders, not hype cycles Study tech, read tokenomics, respect vesting and TVS, size positions to your seed, and treat every dip as a research opportunity Start small, compound knowledge and capital, hold projects that solve real problems This is the long game. Ready to play for real? gBillions energy 💙
낙주@nakjumon

존나게 부자 될 준비가 되었어?

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Sabrina (✸,✸)
Sabrina (✸,✸)@scorona54·
i said this before if the low gets printed at 74k, even a massive short-term bounce doesn't mean the final low isn't lower since 15k, btc was squeezing up on the weekly this week produced the first weekly squeeze to the downside that's a pivot moment for narrative time to stop living in the assumption we're still in a bull market and actually check structure short-term dead cats will confuse many trade the trend, manage risk, don’t confuse bounce for regime change #btc #bitcoin #비트코인
낙주@nakjumon

내가 이전에 이번 저점이 74k에서 형성이 되면 단기 반등이 클 지라도 '최종적인 저점은 더욱 낮을 가능성이 높다'라고 한 적이 있음 15k 이후 비트코인은 주봉에서 꾸준히 상승으로 스퀴즈가 나왔고, 이번에 첫 하락 스퀴즈가 나왔음 즉, '우리는 하락장이다'라는 것을 인지해야하는 순간일 수 있다는 것 #btc #bitcoin #비트코인

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链启未来
链启未来@JuanStresh38·
@BowInvest @OpenledgerHQ feels wild seeing agents spin up and instantly settle onchain… turns every job into a mini revenue stream bro
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