ABL阿布辣2020

The cryptocurrency world in recent years can be said to have magnified human nature to the extreme. You think you are trading, but in reality, you are battling your own greed, fear, and luck. During a bull market, everyone feels like a genius, every random purchase goes up, and once leverage is applied, the world is yours. Not long ago, there were countless stories about financial freedom, but now it has turned into a reality show of forced liquidations. Huang Licheng, 335 liquidations. You read that right, it's not 3 times, not 35 times, but 335 times. This is no longer trading; this is being repeatedly educated by the market, and every lesson is very expensive. From once making 1.4 billion to now losing 1 billion, the period in between is not called volatility; it's called a plot twist in life. What's even harsher is that the account is left with only 30,000 dollars. The cruelest part of the market has never been whether you will lose, but rather that it will make you believe you won't lose when you are winning a lot. Then you slowly increase your position, amplify your leverage, boost your confidence, and in the end, take everything back in one last go. Many people laugh at such stories, but if you break down the elements of leverage, frequent trading, and emotional highs, it's really just amplifying the mistakes that most retail investors make by 100 times. The market has never lacked geniuses; what it lacks are those who can survive until the end. Some people lose because they can't understand trends, some lose because they can't control risks, but more people lose because they don't know when to stop, which is very similar to day trading in the stock market, where they always believe they will win. 335 liquidations are not just a record. It's more like a reminder that if you don't have risk control, the market will do it for you. What you earn by luck will ultimately be lost by skill. $ETH

Opportunities and Risks of Web3 Smart Contract Red Packet Lotteries In today's rapid development of blockchain and Web3, smart contracts have injected new vitality into the traditional red packet culture. Using smart contracts to implement red packet lotteries not only automates fund collection, random selection, and prize distribution but also brings transparency and verifiability. It has become a common interactive method in community operations, DeFi, and GameFi sectors. Technically, this application is already quite mature. Developers can write contracts using the Solidity language combined with Chainlink VRF (Verifiable Random Function) to provide verifiable on-chain randomness, completely solving the problem of predictable random numbers in traditional blockchains. Contracts can manage fund pools, verify participant eligibility, automate lotteries, and perform instant transfers throughout the entire process. Whether it’s equal-amount red packets or random-amount "luck-based" red packets, it can be easily realized. These functions are widely applied in project airdrops, community engagement boosts, and in-game random drops. However, any new technology comes with significant risks, and Web3 red packet lotteries are no exception. First is contract security risk, which is the biggest hidden danger. Once a smart contract is deployed, it is difficult to modify. If there are vulnerabilities, reentrancy attacks, or weak randomness logic, attackers could instantly drain all funds. There have been multiple historical incidents of lottery-type contracts being hacked. Second are technical risks, including Chainlink Oracle failures, high Gas fees, as well as common front-end phishing and malicious authorization. It is recommended to participate in activities using a blank wallet or choose to pass on red packet events 🧧 $OKB #新手成长营

Claude Code Leader: Programming has already been solved by AI! Why is "/loop" the future? Boris Cherny, founder of Anthropic's Claude Code, pointed out at the AI Ascent 2026 conference that engineers have shifted from writing code by hand to orchestrating thousands of AI agents. At the AI Ascent 2026 conference hosted by Sequoia Capital on May 4, Boris Cherny, founder of Anthropic's Claude Code, dropped a line during a keynote conversation: "For me, coding is already solved." He went on to say that since 2026, he has hardly written a single line of code himself; all code is generated by models. His phone pushes dozens of PR notifications daily, "Last week, I pushed 150 PRs in one day—that was a personal record." This statement comes from a conversation video released by Sequoia Capital. For the engineers, entrepreneurs, and venture partners in the audience, the shock was not that "AI can write code"—that actually happened two years ago when Sonnet 3.5 introduced type-ahead autocomplete. The real impact lies in the fact that the very nature of "writing code" as a job has been pushed to a stage most engineers are not yet mentally prepared for. Paradigm Shift in AI Programming: From Handwriting to Commanding AI is fundamentally reshaping the essence of engineers' work. In the past, people imagined AI-assisted programming as sitting in front of an IDE using intelligent autocomplete; now, reality has far surpassed that imagination. Cherny from Anthropic pointed out that many engineers have shifted to CLI operations, using Claude Code to manage multiple sessions and hundreds to thousands of AI agents simultaneously. They no longer type code line by line but become orchestrators of an "AI engineer battalion." The most critical tool is the "/loop" command, which allows AI to automatically execute tasks on schedule: fixing PRs, monitoring CI health, collecting user feedback, etc. Engineers' work has transformed from "handcrafting features" to "designing loops that let the system run autonomously 24/7." This wave also deconstructs traditional team structures. In the future, more cross-disciplinary generalists will emerge, with product, design, finance, research, and other functions all needing the ability to have AI write code. "Not knowing how to code" is no longer an excuse but a competitive disadvantage. Within Anthropic, there is no pure handwritten code; everyone collaborates with models to form an agent network, making organizational processes a true competitive moat. Just as the printing press turned literacy from a profession into a basic skill, AI will democratize programming, with true value returning to deep domain knowledge. Although challenges remain in model alignment and legacy codebases, the engineer's role has irreversibly shifted from "writer" to "conductor." This transformation not only accelerates innovation but will also reshape the entire software industry's ecosystem. $TSLA #AI重构行业格局进行时

Straight to the point: CZ and Cathie Wood decode the underlying logic of the crypto market's strong recovery. At the critical moment of recovery after the crypto market's turbulence, a conversation between CZ (Changpeng Zhao) and Cathie Wood clearly and thoroughly outlines the macro drivers and the real movements of institutional funds behind this round of market activity. CZ begins with the macro cycle. He points out that this year, being an election year and on the eve of midterm elections, the U.S. government has a strong incentive to maintain a strong performance in the U.S. stock market to stabilize the situation. The capital heat in the stock market inevitably spills over, powerfully boosting risk assets, including the crypto market. Coupled with Bitcoin’s solid support at previous highs and the resonance of macro and industry cycles, he judges that this market recovery speed could surpass any rebound in history. Cathie Wood confirms this judgment with actual capital flow data. She states that traditional financial institutions have thoroughly studied the crypto market’s four-year cycle. They did not blindly chase highs during market euphoria but waited very patiently for correction opportunities. Now, from capital flows, it is clear that these “old money” investors are conducting unprecedented large-scale accumulation. CZ further reveals the core characteristic of institutional capital entry: extremely slow decision-making and very long holding periods. Compared to retail investors’ frequent turnover, institutions buying billions of dollars may require multiple committee approvals, taking a full month to complete. Once accumulation is done through compliant channels like ETFs, their holding periods are usually measured in years. This means massive chips are being locked in for the long term, continuously draining the market’s circulating supply, thereby building an extremely solid bottom support for asset prices. Stepping out of the short-sighted view of intraday volatility and understanding this long-term capital sedimentation logic is key to staying composed amid fluctuations. Conclusion: The greatest value of this conversation is that it reveals how the current market differs from the past: not only is there resonance between policy and cycles, but also structural entry of huge traditional financial capital. When patient and massive institutional capital begins long-term locking, the market’s underlying support has quietly changed. For investors, the important thing is not to chase every intraday rise and fall but to see clearly the flow and power of this long-term capital. In a market increasingly dominated by institutional thinking, maintaining patience and a big-picture view may be the true winning strategy in this round of recovery. $BTC #FOMC前瞻：BTC多头大举建仓

CME gap becomes the market focus, two key levels will trigger billions in liquidations The prospects for US-Iran talks have once again been overshadowed, increasing market risk aversion. On Thursday, all three major US stock indices closed lower: the Dow Jones fell 0.63% to 49,596.97 points, the S&P 500 dropped 0.38% to 7,337.11 points, and the Nasdaq slightly declined 0.13% to 25,806.20 points. S&P 500 call options hit a record $2.6 trillion in trading volume yesterday. Specifically, nearly 60% of S&P 500 index options traded were calls. Bank of America noted that the current S&P 500 rally is reminiscent of the late 1920s and the dot-com bubble, but pricing for tail-risk options remains low, showing a clear divergence from actual volatility. Crude oil prices plunged over 5% intraday yesterday, then sharply reversed in a V-shaped recovery triggered by news of crossfire, finally rising slightly to around $100 per barrel. Spot Brent crude even fell below near-month futures. Max Layton, head of commodities at Citigroup, stated that until a clear agreement is reached, oil prices will continue to experience volatile swings driven by news. Additionally, the offshore Chinese yuan broke above 6.80 intraday yesterday, reaching a four-year high. Market bets on rate cuts this year have dropped to 20%. Wall Street is now holding its breath ahead of the upcoming nonfarm payroll data, expected to show an increase of 62,000 jobs, a key anchor point for determining the next macroeconomic direction. Economist David Payne believes that monthly job gains of 60,000 to 80,000 are sufficient to maintain labor market stability. Bearish views: The core logic of this camp is that the recent rebound is just a bear market bull trap, and potential macro downside in US stocks will drag BTC down, with key levels breaking confirming a false breakout. Greeny: The 35% rebound from the bottom mirrors the bear market traps of 2018 and 2022, making blind bullishness extremely risky. Anabel & LB: Breaking below $80,000 and $79,600 confirms the previous rise was just a liquidity distortion, with downside risk targeting the $76,000-$74,000 range. Minga & Astronomer: Failure to reclaim $84.2k or $80.5k will establish a short-term top, with a target at the $76k monthly open. Colin Talks Crypto: Price was clearly rejected at the 200-day moving average, preparing to continue profit-taking near $84.8k. Bullish views: The bulls firmly believe that bottom-level chip rotation is very thorough, with continuous ETF inflows and technical indicator breakthroughs building momentum to challenge $100,000. John Bollinger, founder of the Bollinger Bands indicator, personally went long, pointing out that BTC has completed its first Bollinger Band upper band ($81,549) breakout on the daily chart in months. Killa: If Bitcoin can hold $78,500 (this week's open), further upside is possible. If it falls below, gradually add longs in the $74.7K-$76.3K range, with stop losses on shorts at $84K. Murphy: 440,000 BTC accumulated near $66,000, with 13.8% of chips in the $65,000-$78,000 range, building a stronger bottom structure than the previous cycle. Tom Lee: As long as BTC closes above $76,000 on the May monthly candle, achieving a rare three-month consecutive gain, the bear market will be completely over. Ali Charts: New mega whales have an average cost of $80,300, with leverage rising to 0.26 (a new high since 2025), indicating strong market risk appetite. IT Tech & MikybullCrypto: A strong breakout and hold above the $88,000-$92,000 resistance zone will make the $100,000 target inevitable. Max Trades & ctm_trader: A pullback to $75k-$76k is an excellent buying opportunity, with main targets to fill the CME gaps at $78k and $84k. Aylo: In a bear market, any Bitcoin below $70,000 (pre-2021 highs) has extremely high allocation value. $BTC #FOMC前瞻：BTC多头大举建仓

Is the new official curse a repetition of history or just a new official coming to clean up the mess? Will 2026 be a golden opportunity or a massive tsunami? Leave your comments below for discussion～ $BTC #4月ETF：三大加密资产同步净流入

Who is profiting from war? Trump "announced US-Iran war benefits before" Oil repeatedly targeted by eerily accurate short selling, DOJ teams up with CFTC for thorough investigation $2.6 billion insider trading case! Has the highest secret of geopolitics already become a password for a few to withdraw funds? US financial regulators are launching a comprehensive investigation into a series of chillingly "precise predictions." According to an exclusive report by ABC News, sources reveal that the US Department of Justice (DOJ) and the Commodity Futures Trading Commission (CFTC) are jointly investigating a series of "extremely suspicious" short trades in the crude oil market at specific times. The commonality of these trades is that they always precisely occur just before major war-related announcements by US President Donald Trump and senior Iranian officials, with a total amount reaching $2.6 billion. Four mysterious "prophetic" short positions ABC News obtained key data on these four abnormal trades from the London Stock Exchange Group (LSEG). The data shows that mysterious traders heavily bet on oil price declines in advance at the following four critical points: March 23: Just 15 minutes before Trump announced the "postponement of a threatening attack on Iran's power grid," traders shorted over $500 million in crude oil. April 7: Hours before Trump announced a temporary ceasefire agreement, traders placed $960 million in bearish bets on oil prices. April 17: Twenty minutes before Iranian Foreign Minister Abbas Araghchi confirmed on social media that the Strait of Hormuz had been reopened, the market saw short positions in crude oil worth up to $760 million. April 21: Fifteen minutes before Trump officially announced the "extension of the ceasefire agreement," traders again deployed a series of short bets valued at $430 million. Collusion between politics and business or coincidence? Regulators fully intervene Such massive trades occurring 15 to 20 minutes before major geopolitical turning points clearly cannot be explained by mere "luck" or "market intuition." Whenever these "war tension easing" announcements are made, crude oil prices inevitably plummet, and these pre-positioned short positions instantly earn astonishing profits. Although LSEG's data cannot directly reveal the identities of the individuals or institutions behind these trades, nor serve as direct evidence for insider trading convictions, the "degree of coincidence" is enough to trigger federal criminal and administrative investigations. Currently, the US DOJ and CFTC refuse to comment on these specific trades, but it is foreseeable that investigators will track money flows and communications of traders to try to uncover who leaked the highest-level diplomatic secrets between the US and Iran. This $2.6 billion scandal not only severely damages investors' trust in the fairness of financial markets but also suggests that behind the geopolitical power plays, there may be a vast network of利益輸送 (interest transfer networks). #美伊交火：特朗普称停火仍有效 $CL

No more throttling! Pro user quotas doubled AI computing power race enters the "GigaWatt era" A shockwave in the AI field! Claude officially announces a major computing power cooperation agreement with SpaceX, fully activating the computing resources of SpaceX's "Colossus 1" data center. This collaboration not only symbolizes a qualitative leap in AI computing power scale but also heralds the infinite possibilities of "orbital AI computing" in the future. Joining forces with SpaceX: 220,000 GPUs immediate rescue According to the latest agreement, Claude will receive over 300 megawatts (MW) of additional computing power support within a month, with hardware cores including more than 220,000 NVIDIA GPUs. This powerful computing power injection will directly enhance the user experience for Claude Pro and Claude Max subscribers, solving previous response delay issues under high load. Beyond ground cooperation, both parties have expressed a strong willingness to jointly develop "orbital AI compute capacity," aiming to scale computing power to the Gigawatt (GW) level. $TSLA #AI重构行业格局进行时

ZachXBT accuses the LAB team of manipulating CEX prices and harming retail investors' interests According to PANews on May 7, on-chain investigator ZachXBT claimed that the team behind the token LAB, LABtrade_ and its founder vsadkovv, frequently engage in "pump and dump" style price manipulation on centralized exchanges like Bitget by holding a large amount of tokens centrally. Such behavior occurs almost weekly, damaging the interests of retail investors. ZachXBT said he had privately contacted the parties involved but received no response, and pointed out that the founder posts "philosophical reflections" on social media while simultaneously participating in manipulative trading. He stated that these actions are further undermining the overall credibility of the crypto industry. $LAB #新手成长营

A small step for General Kim, a giant leap for the world $ETH #NorthKoreaEthereumStrategicReserve

Morpho is a DeFi (decentralized finance) lending protocol with the core goal of making the capital matching between "borrowers" and "lenders" more efficient. It is essentially like an on-chain "automated money market + peer-to-peer lending layer." Compared to traditional DeFi lending protocols (such as Aave or Compound), Morpho aims to solve the following problems: • Traditional pool interest rates are inefficient • There is an interest rate spread between borrowing and depositing • Large amounts of capital remain idle in the pools Therefore, Morpho: • Automatically matches borrowers and lenders • Prioritizes P2P (Peer-to-Peer) matching • Falls back to traditional liquidity pools when matching is not possible This results in: • Higher interest rates for depositors • Lower costs for borrowers • Improved capital utilization On which chains does Morpho operate? Currently, Morpho is mainly deployed on: • Ethereum (mainnet) • Base • Arbitrum • Optimism Among them: • Ethereum: largest TVL, highest security • Base: rapid growth in recent years • Arbitrum: mature DeFi ecosystem • Optimism: integrated with the Superchain ecosystem Currently, most of Morpho's ecosystem capital is still concentrated on Ethereum and Base. Why has Morpho been frequently mentioned recently? Because it has grown rapidly in the DeFi lending space in recent years: • TVL (total value locked) has increased significantly • Seen as a competitor to Aave • Clearly benefited from the Base ecosystem explosion • Many yield strategies (Vaults) have started integrating Morpho Additionally: Some institutions and large DeFi funds have also begun regarding Morpho as an "on-chain USD interest rate market." Simply put, you can think of: • Aave → traditional bank capital pool • Morpho → smart matched lending market Morpho's core is not "token issuance" but: improving on-chain capital efficiency. #BTC月线收官：年内最强月份 $MORPHO