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Event Calendar

{{年份}}
30
04
upgrade Celestia Mainnet Upgrade

Improves data availability sampling efficiency

08
04
upgrade Solana Firedancer

Independent validator client goes live on mainnet

10
05
upgrade Ethereum Pectra Upgrade

Raises validator limit and account abstraction

15
04
halving Bitcoin Halving

Block reward reduced to 3.125 BTC

22
03
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Circulating supply increases by about 2%

28
03
unlock Arbitrum Token Unlock

92 million ARB released

18
03
unlock Sui Token Unlock

Team and early investor shares released

12
05
halving BCH Halving

Block reward halving event

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Interviews

Nvidia's Earnings Trap: The Ledger Bleeds Where Sentiment Peaks

CryptoTiger
The options market is pricing a 7% post-earnings swing for Nvidia. The past four earnings beats delivered an average decline of 3.2%. This is not a forecast. It is a variance calculation. Polymarket assigns a 97% probability that Nvidia beats expectations on August 26. That number is a sentiment thermometer, not an edge. When certainty peaks, the risk asymmetry inverts. The market has already paid for the good news. The only question is who absorbs the loss when the ledger settles. Nvidia sits at the apex of the AI hardware stack with an estimated 80% share of the AI training chip market. Its supply chain is a study in concentrated dependency: 100% of advanced process capacity comes from TSMC, roughly 80% of HBM supply comes from SK Hynix, and CoWoS packaging remains the binding constraint on shipment growth. TSMC plans to double CoWoS capacity by 2025, but that expansion is already priced into Nvidia's delivery timeline. The market treats this as solved. The tape says otherwise. Let me be direct about the structural risk here. Nvidia's top five customers, including Microsoft, Google, Meta, Amazon, and Oracle, account for an estimated 50% of revenue. This is not a diversified book. It is a concentrated bet that the largest cloud providers will sustain their AI capex trajectory. The order flow looks strong today because the orders are circular. Michael Burry's framing of a "circular financing network" is not conspiracy theory; it is a description of how AI companies fund each other's chip purchases to maintain growth narratives. That structure works until one participant blinks. The technical picture supports the caution. The Chaikin Money Flow has turned negative, and the put/call ratio is rising into the print. These are not screaming sell signals. They are quiet rotations. Smart money does not announce its hedging. It just buys downside protection and lets the crowd chase the headline. My own audit of the historical pattern shows that Nvidia has beaten earnings expectations in each of the last four quarters, and the stock has dropped in each instance, with declines ranging from 0.79% to 5.46%. The market is not pricing a miss. It is pricing the aftermath of a beat. The core issue is valuation. At roughly 60x trailing earnings and 25x sales, Nvidia's multiple already embeds a 50%+ CAGR for the next several years. The PEG ratio sits near 1.5x, which looks reasonable only if you accept the AI demand narrative without discounting for cyclicality. I do not. The semiconductor cycle has a 2-3 year rhythm. We are deep into the upswing, and the inventory builds in AI chips are starting to look like a hedge against scarcity rather than a reflection of end-user demand. When inventory becomes a hedge, it is no longer a signal. It is a risk. Here is the contrarian angle that most retail commentary misses. The supply chain constraints are not Nvidia's problem. They are its shield. If CoWoS capacity expands as planned, Nvidia can ship more units, but the scarcity premium on its pricing erodes. If HBM supply normalizes, the cost structure improves, but the urgency that drives customers to pre-pay for allocations disappears. The market has framed supply as a bottleneck. I frame it as a pricing mechanism. When the bottleneck clears, the pricing power adjusts. The geopolitical layer adds another variable. Export controls have reduced Nvidia's China revenue from roughly 25% of total to an estimated 10-15%, and that loss has been offset by US and other regional demand. But the offset is not free. It accelerates the development of domestic Chinese AI chips and pushes CSPs to accelerate their own silicon efforts. Google's TPU and AWS's Trainium are not immediate threats to Nvidia's training dominance, but they are building software ecosystems that chip away at the CUDA moat. The moat is real. It is not permanent. My assessment, based on the data and my own trading experience, is that the risk-reward into this print is skewed to the downside. The 201.59 level, which corresponds to the 0.618 Fibonacci retracement, is the line in the sand. A break below that opens a path to 194.45 and then 185.35. The upside scenario, a move toward the 227.88 high, requires data center revenue above $900 billion, a level the market assigns only a 23% probability. The asymmetry is not favorable for long holders at these levels. The takeaway is not to short Nvidia. It is to respect the variance. The options market is pricing a 7% move, which is more than double the average post-earnings move of the last four quarters. That is not conviction. That is uncertainty. Position accordingly. Use defined risk structures. Do not confuse a high probability of a beat with a high probability of a rally. The ledger bleeds where code is silent, and in this case, the code is the order flow that has already priced the outcome. Skepticism is the only viable alpha. The crowd will see a beat and ask why the stock is falling. You will know the answer because you read the tape before the print. Volatility is the price of admission. Pay it, but do not overpay.

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