Recent negative news about AI, easily understandable after reading.
Recent negative news about the AI industry Bernie Sanders (previously competed with Hillary and Biden twice for the Democratic presidential nomination, losing both times) spoke in the Senate, reiterating that "AI is the most profound technological revolution in human history" 1. Criticism of the devastating impact of AI on jobs (consistent with domestic scholars' views, if the contradictions between productivity and production relations are not addressed, the impact of AI will be catastrophic. For example, the Chinese government work report repeatedly emphasizes that the role of AI is to assist, empower, and collaborate with humans, not to replace them, and certainly not to escape human dominant regulation) the foresight in this area of a certain Eastern power.
$BTC On Friday, $15.1 billion in BTC options will expire, with the maximum pain point at $75,000.
At the time of expiration, market makers and large options sellers prefer the price to land at a specific level—at this level, the most options contracts will expire worthless, allowing them to avoid paying out to buyers (minimizing their own payouts).
The maximum pain point does not guarantee that the price will reach it, but the market is likely to be drawn towards that price level like a magnet.
Market makers need to dynamically hedge (Delta Hedging). They will buy or sell spot/futures to neutralize risk, and this hedging behavior naturally pushes the spot price towards the Max Pain direction.
Lex Fridman's latest podcast episode (#494) features an in-depth conversation with NVIDIA CEO Jensen Huang, lasting about 2.5 hours, discussing how NVIDIA has become the world's most valuable company with a market value of approximately $4 trillion, and its role as the engine of the AI revolution. 1. NVIDIA's Engineering and System Design (Extreme Co-Design & Rack-Scale Engineering) Jensen Huang emphasized that NVIDIA has transitioned from a pure chip company to "extreme co-design," integrating GPUs, CPUs, memory, networks, storage, power, cooling, software, racks, and even entire data centers. AI problems are no longer suited for a single computer; they require distributed computing, algorithm restructuring, and network optimization. He mentioned Amdahl's Law: if computation only accounts for 50% of the workload, even with infinite speedup in computation, the overall performance can only improve by 2 times. This drives NVIDIA to pursue full-stack optimization, surpassing the slowdown of Moore's Law.
The large pancake Ethereum is consolidating in a triangle after a violent surge and retracement. The trend line is currently held at $BTC , while the support level has a pin at $ETH that has been recovered. The current pattern is not bearish. For those who entered short positions yesterday, remember to secure your capital. The initial position is still at 723 223. There will be live dynamic adjustments and announcements in the group.
Why is it still falling when 'everyone is bearish'?
'Consensus is often wrong,' but the market seems to be moving in the direction of consensus. What is the reason behind this? 1. Cognitive consensus ≠ Position consensus Cognitive consensus: it's what is said. For example, everyone verbally expresses bearishness and feels it will fall.
Position consensus: it's what is actually done. For example, whether everyone has already sold out their chips, or has already shorted.
The key is that when 'everyone says it will fall, but still holds a full position, even waiting to sell on a rebound,' this kind of 'bearish' sentiment is not a bottom signal, but rather fuel for further decline. The real selling pressure in the market comes from these 'bearish but haven't sold' people. Only when the bearish individuals have completely 'cut their losses and exited,' and have no chips left, will the market decline because 'those who wanted to sell have sold out,' which is the true bottom consensus.
The gold ETF call options for $XAU dropped from over 7.3 million in February to over 6 million. Many people feel that a 15% decline sounds alarming, but over 7 million contracts is a historical extreme. The current number is still above the 90th percentile of the last 5 years, indicating that the core long positions have not changed, and the movement is driven by short-term gamblers.
Goldman Sachs recently released a research report, which may seem somewhat lagging now, but it can serve as a reference for the views of top investment banks.
Recent actions by global central banks: the pace of gold purchases by central banks has slowed down, taking tactical avoidance in a high-volatility environment. (This refers to the price of 5000, not now.) The first is the diversified reserve demand, and the slowdown does not signify the end of the appreciation trend, but rather a tactical avoidance by central banks as long-term institutions in the face of a high-volatility environment. Goldman Sachs believes that long-term capital from central banks has not left the market; it is just waiting for a more stable trading window.
Goldman Sachs has provided quantitative reference indicators for gold trends in 2026. In Goldman Sachs' analytical model, as volatility declines and institutional capital re-enters, the benchmark price for gold by the end of 2026 may point towards the 5400 USD area.
Two core variables drive this: first, the physical appreciation plans confirmed by global central banks, and second, the downward trend of global interest rate cycles has lowered the returns on holding cash, indirectly enhancing the asset value of gold.
Goldman Sachs has also clarified the technical support level on the downside, around 4700 USD. This figure corresponds to the average holding cost of large market funds. Once the gold price retracts to this range, previously cautious long-term funds will re-enter the market to optimize their cost of allocation. Therefore, even if there is a decline due to short-term portfolio adjustments, 4700 USD is viewed as a logically supported bottom.
Summary: The current characteristics of the gold market can be summarized as driven by short-term price event mechanisms (the blockade of the Strait of Hormuz by Iran), while long-term trends are supported by reserve logic. By dissecting Goldman Sachs' analysis, we can see that the volatility brought by derivatives, although intense, has not changed the asset allocation trend of global central banks as the ultimate buyers.
Start paying close attention to Nvidia on Monday, the best-performing quality asset in the global capital markets. If Nvidia falls below this level, the nightmare will begin.