ABL阿布辣2020

Epic Battle: Musk vs. Ultraman Big Dog Doge takes off 🛫 and returns to 0.1u So, who will be the next Musk concept coin? Feel free to leave a comment below 💬 $DOGE $SHIB

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

Yesterday while chatting with Da Bai, we were guessing that we might touch around 79,000 in the evening because that was the biggest pain point for short positions around 79,100, approximately 40 million. As expected, it indeed went up in four hours. Now that 40 million will also be targeted.🤔 After a short-term skirmish, the air force is defeated.

$ORDI Brother, did you take the wrong medicine? Finally, the day has come when you took the wrong medicine.

The era of AI warfare has arrived! The Pentagon shocked the world on Friday by announcing that it has successfully allied with seven tech giants including OpenAI, Microsoft, Google, Nvidia, and SpaceX to fully integrate AI into the U.S. military's top-secret networks to accelerate battlefield decision-making. However, Anthropic, which emphasizes "AI ethics and safety," has been blacklisted by the Trump administration and taken to court for refusing to use its models for fully automated weapons. Meanwhile, OpenAI has stepped in to take its place. As AI takes over more military command roles, experts urgently warn: do not let machines have the final button on life and death! #AI军备竞赛：谷歌$400亿押注Anthropic $BTC

The three major oracle providers divide the prediction market: Polymarket introduces Chainlink, Pyth reduces settlement risk In the past two years, the prediction market has become the brightest narrative in the crypto industry. The total trading volume in the entire sector approached $10 billion by the end of last year, with monthly growth momentum significantly accelerating in the second half of 2025. But on the other side of this celebration, there is a role that has always stood outside the spotlight, repeatedly criticized by users with harsh words: the oracle. As the oracle sector approaches 2026, it has essentially evolved from an early "data pipeline" to a "verifiable facts layer" that supports the entire on-chain economy. Its service targets are no longer just DeFi liquidation and collateral valuation, but also compliance verification for RWA on-chain, trustworthy transmission of cross-chain information, and the settlement of prediction markets against real-world uncertainties. This qualitative upgrade is not rhetoric, but a substantial expansion of business boundaries: Old definition (DeFi era): Oracle = feeding token prices into on-chain contracts New definition (2026): Oracle = making on-chain verifiable judgments about "what happened in the real world" The difficulty and complexity of the latter is not a quantitative change, but a qualitative change. Judging "ETH price" and judging "whether Trump won the election" require completely different mechanism designs. The prediction market is a magnifying glass observing this red ocean competition. Polymarket's three-track division of labor, along with Kalshi's synchronous choices in traditional financial assets, reveals a reality: No single oracle can fully serve a mature on-chain application. Every topic on the platform will be assigned to the oracle best suited to handle that type of data structure. The differentiation of infrastructure is already a fact. But when no single project can monopolize the benefits, who can truly become irreplaceable? $LINK

Conversation with Cathie Wood: benign deflation is coming, the Federal Reserve will cut interest rates, and Bitcoin is still in the bottom-building phase of a bull market. The article is too long and is presented in a Q&A format. Here are the key takeaways from Cathie Wood's latest views: 1. Benign Deflation: AI-Driven Price Collapse The cost of AI training is decreasing by 75% annually, and inference costs are dropping by 85% to 95% each year, creating a wave of "benign deflation." TrueFlation's on-chain inflation data shows an overall inflation rate of only 1.8%, with core inflation even lower at 1.3%. In the job market, the youth unemployment rate is at 8.5%, indicating that there is still slack in the labor market. While companies have not engaged in large-scale layoffs, they have stopped hiring, which has reduced wage growth pressure. 2. The Fed Will Be Forced to Cut Rates Wood points out that the Fed has cumulatively cut rates by 175 basis points, but the market still views it as too hawkish—she believes this judgment is incorrect, as the easing cycle is already underway. She predicts that once the Fed realizes the deflationary pressures, it will be forced to cut rates more significantly than the market expects, and the combination of a low-interest-rate environment and increased technological productivity will trigger a new bull market for the U.S. economy and risk assets like Bitcoin. 3. Bitcoin: Bull Market Bottom-Building, Long-Term Target Unchanged Wood maintains her baseline target for Bitcoin at $730,000 by 2030, emphasizing that despite a current maximum drawdown of 50%, the bull market structure remains intact. Institutional ETF holders have remained stable during this downturn, with traditional asset managers viewing a 50% drop as a deep bear opportunity, continuing to accumulate on dips. "Weak hands have exited, but institutions are taking over; they are truly beginning to understand this new asset class," she said. 4. The Payment Layer of Agentic AI on Blockchain Wood believes that in the future, AI entities will need to transact with each other (machine-to-machine transactions), and blockchain payment systems are the only reasonable infrastructure, which will significantly accelerate the adoption of crypto assets. In summary: Wood's logical chain is: AI causes benign deflation → Inflation rapidly declines → The Fed is forced to accelerate rate cuts → Liquidity improves → Bitcoin and other risk assets will welcome the next big bull market. This is her core macro framework for maintaining a long-term bullish outlook. $BTC #美联储4月利率决议：罕见4票反对

I am pleased to announce that, based on the fact the European Union is not complying with our fully agreed to Trade Deal, next week I will be increasing Tariffs charged to the European Union for Cars and Trucks coming into the United States. The Tariff will be increased to 25%. It is fully understood and agreed that, if they produce Cars and Trucks in U.S.A. Plants, there will be NO TARIFF. Many Automobile and Truck Plants are currently under construction, with over 100 Billion Dollars being invested, A RECORD in the History of Car and Truck Manufacturing. These Plants, staffed with American Workers, will be opening soon — There has never been anything like what is happening in America today! Thank you for your attention to this matter. President DONALD J. TRUMP 51勞動節就玩這麼大 給歐盟企業與勞工上一課 #美伊持续封锁：油价创四年新高

Do you remember the South China Sea bubble back then? The UK converted its debts owed abroad into equity, sending creditors directly into the incinerator. And now, the beautiful country is doing the same debt-to-equity swap. Last year, the beautiful country heavily promoted cryptocurrency. Many people who bought cryptocurrency went on to buy stablecoins. After purchasing stablecoins, the stablecoin companies would use your money to take over the beautiful debt. In other words, the beautiful country has found a brand new way to take over the beautiful debt. However, the money in stablecoins is only enough to buy 200 billion beautiful debts. Currently, the beautiful debt is 40 trillion and continues to grow. So how can they keep getting people to take over the beautiful debt? The method is the same as back then – debt-to-equity swap. The only ones capable of taking over 40 trillion are AI companies. So the script can only be the same as back then, just replacing the South China Sea companies with AI companies. When you chat with AI now, every time you ask a question, it consumes a Token. This Token is the salary for AI's work. When you let AI generate essays or images, the computational power and electricity costs consumed are calculated using Tokens. Since AI is working for humanity and getting faster, aren't its salary Tokens becoming more valuable? In 2024, the daily consumption of Tokens is about 100 billion, by 2026 it will reach 180 trillion, an increase of over 1800 times in two years. Previously, only engineers used them, now perhaps even your grandfather will use them. AI giant Huang recently said: in the future, employee salaries will not only be cash but also Tokens. This means that AI giants have linked salaries to Tokens. The current world is replacing cash with Tokens. As the world becomes more related to AI for entertainment and consumption, our spending will no longer be in cash but in Tokens. Historically, the right to mint currency has always been monopolized. Cash is printed by central banks, but what about Tokens? The minting rights are now in the hands of a few large companies. Minting requires three conditions: GPU, computational power, and electricity, and all of these are in the hands of those big companies. So as long as the beautiful country negotiates with these few big companies, it can initiate a brand new debt-to-equity swap 2.0. #马斯克vs奥特曼：$1300亿AI世纪庭审 $NVDA $META $

For thousands of years, humanity has been in pursuit of answers, seeking the truth that provides reasonable explanations. For example: In ancient times, prolonged droughts were caused by tyrannical emperors. In modern times, prolonged droughts are caused by climate change. Both answers are correct in their respective eras. Another example: 1. Gold is stuck at 4600 and can't go higher. I will sell first and buy back at a lower point. 2. A head and shoulders pattern is forming on the 4-hour chart. After confirming a death cross on the MACD below, consider entering a position. However, the daily level has not yet broken out, so there is still a possibility of an upward movement. The first one is clearly a retail investor's mindset, but they might make money, which is not wrong, because the market inherently has randomness. The second one sounds like an expert's statement, but in reality, it’s just empty talk. It has technical jargon wrapped around it, but at its core, it is "an unverifiable vague judgment." The real conditions for a head and shoulders pattern to be valid are: * The neckline must be effectively broken (confirmed by closing price). * There must be an increase in volume accompanying the move. * A pullback must not break the neckline (which many overlook). They only see that "the pattern looks like it," but if the neckline has not been broken, it is essentially just a potential structure, not a trading signal. Many false head and shoulders will ultimately turn into "consolidation and continuation of upward movement." Establishing a structure ≠ appearance of a shape, but rather "completion of market consensus shift." Furthermore, the MACD death cross is a "lagging signal." Saying to wait for the MACD 4H death cross to enter, the problem is: The MACD reacts only after the price has already fallen. Waiting for the death cross → usually means a portion of the decline has already been consumed. 👉 You will face two awkward situations: * Either chase the short at a low point, * Or miss the best short entry. Thus, a golden cross often leads to a decline, a death cross often leads to a rebound, but it can also follow the trend; there are no certainties. If the daily chart has not weakened = the larger timeframe is still supporting, "the daily level has not yet broken out" this is actually the most important signal. If on the daily chart: * The structure is still making higher highs and higher lows, * Or is still at the upper edge of a consolidation range, 👉 Then the 4H short is merely a "counter-trend short," not the beginning of a downtrend. It’s not a question of short or long right now, but rather "the market has not yet chosen a direction." Returning to the essence of the MACD, it is a confirmation tool, not a trigger tool. When you say "wait for the death cross to short," you are actually doing: Using an already occurred result to chase the future. Most technical indicators are "state description tools," not "decision triggers." In simpler terms, they are used to explain price changes that have already occurred, "organized into signals that humans can understand." A common example: When the US dollar index falls, it is unfavorable for risk markets, yet the market buys into it, and the next day the market rises. Experts come out and say the fall of the US dollar index is beneficial for risk markets, and the market buys into it again. Thus, most teachers say there is a high probability or it is very likely that in uncertain systems, as long as the probability is not zero, it can happen. So why teach you all this? Because the market is the sum of human behavior. When the market shows rules, there are answers, that’s how you can harvest retail investors. If you can’t solve the formula, the math teacher will be in trouble. The market is either up or down, just as a coin is either heads or tails. Isn’t that pure gambling? That’s why economics has game theory. What are trading teachers bringing? They bring your "emotional value." What truly skilled teachers teach you is how to survive and manage profits and losses well. Not to predict the market, analyze it, or find reasons. The market is not testing how accurately you can see, but rather testing whether you have a repeatable decision-making and risk control system in uncertainty. I can’t say more, or the trading teachers will be out of a job. 😂😂 $BTC #马斯克vs奥特曼：$1300亿AI世纪庭审

On April 25, 2026 (from Friday night to Saturday), Litecoin (LTC) network experienced a reorganization event involving 13 blocks, resulting in approximately 32 minutes of transaction history being removed from the main chain. Brief overview of the event: Block range: primarily affecting blocks #3,095,930 to #3,095,943. Under normal circumstances: Litecoin block time is about 2.5 minutes, 13 blocks would theoretically take about 32–33 minutes. Actual situation: Due to the attack, the generation of this forked chain took over 3 hours, during which the block generation speed significantly slowed down. The attacker exploited a vulnerability in the Mimblewimble Extension Blocks (MWEB) privacy layer (some reports referred to it as a zero-day, but there are also GitHub records showing this was a patched issue that had not yet been fully deployed across all nodes). Unupdated mining pools/nodes accepted invalid MWEB transactions, and the attacker attempted to perform double-spending and executed operations targeting some cross-chain protocols. The response from the Litecoin team was to allow the hash power running the updated code to regain dominance, automatically executing a 13 block reorganization and removing those blocks containing invalid transactions from the main chain. Results: • Invalid transactions were completely excluded and will not enter the final main chain. • Valid transactions during that period were reportedly unaffected and remain on the chain. • The vulnerability has been patched, and the network is currently operating normally. What does this mean? 1. Transaction finality risk: This reorganization depth of 13 blocks could lead to confirmed deposits/transactions being "evaporated" for exchanges or cross-chain bridges that rely on fewer confirmations (like 6 confirmations). Reports mentioned that certain cross-chain protocols (such as NEAR Intents) exposed about $600K in risk, but actual losses were reversed due to the reorganization. 2. Not a typical 51% attack: Initially, many thought it was a 51% attack (because of the significant reorganization depth and slow block generation), but it was actually a combination of a consensus vulnerability + DoS attack, exploiting the issue of inconsistent node upgrades. The updated nodes ultimately prevailed and completed the reorganization. 3. Exposed issues: The privacy feature (MWEB) introduced an additional attack surface. The coordination of mining pool/node upgrades was not swift enough, making older version nodes a weakness. PoW chains may still experience historical rollbacks when facing deep forks, reminding everyone that "immutability" has its limits in practice.