Nvidia drops 9%, AppLovin surges 56% in a week: After the AI selloff, what should you check in your account?
The Nasdaq suffered its largest single-day drop since April 2025, with AI hardware, crypto assets, and high-valuation growth stocks coming under simultaneous pressure. What this round of adjustment truly revealed is the gap: companies with cash flow and real earnings, versus companies with only stories, will diverge completely in the next wave of volatility.
1. AI Hasn't Disappeared—the Market Is Just Starting to Pick Assets
On November 5, the Nasdaq fell 5.52% in a single day, marking its largest one-day decline since April 2025. The Philadelphia Semiconductor Index dropped even further, down 12.25%, as AI hardware, semiconductors, and high-valuation growth stocks were hit by concentrated selling, wiping out roughly $3 trillion in market value across U.S. equities in a single day. By Wall Street's standard yardstick, a 10% pullback from the highs marks a technical correction, while a 20% drawdown constitutes a technical bear market. The Nasdaq's decline has already crossed the first line, sitting about 12% below its October 6 all-time high. The VIX, which measures fear, surged nearly 70% the same day to above 28. Fear itself carries no information—it's the stratification of prices that does. Looking only at the index, it's easy to draw a simple conclusion: the AI rally is over. But putting individual stock performance from the same week side by side, the market's message is not so simple.
AppLovin rose as much as 31% in premarket trading after reporting earnings, closed up 9.86% on November 6, and gained nearly 56% for the week. Cloudflare also strengthened on better-than-expected results and another upward revision to its full-year profit guidance. Meanwhile, Bitcoin briefly fell below $76,000, digital asset-related stocks came under broad pressure, while new strong performers emerged in the pharmaceutical sector.
The market is not selling all risk assets—what it's really doing is distinguishing the quality of growth: Has a company actually converted AI into revenue and profit? How much capital has it invested to generate that revenue? How much debt does expansion require? If financing conditions tighten, can cash flow hold up?
Caption: In the same trading week, the Philadelphia Semiconductor Index fell 12.25% in a single day, while AI application companies AppLovin and Cloudflare bucked the trend and closed higher—the "AI trade" had long since stratified internally.
Over the past year, the AI supply chain's biggest advantage was growth fast enough that the market was willing to front-load valuations. That logic is now being stress-tested. Among companies with AI exposure, some can directly convert technology into profit, while others need continuous massive capital investment to sustain expansion—stock performance will naturally diverge. The market hasn't suddenly stopped believing in AI; it's just asking a more realistic question: Is this company actually making money from AI, or is it relying on the capital market believing it will make money in the future? For ordinary investors, rather than guessing every day whether the AI bull market is over, it's better to use this correction to re-examine your holdings—because when the next rally begins, capital may not buy back all AI assets. Companies with genuine profitability, cash flow, and order support are more likely to be favored.
2. The First Check: Are Your Holdings Actually Generating Cash, or Still Burning It?
One of the most obvious divergences in this correction is that the market has begun re-examining the cash flow of asset-heavy AI infrastructure. In the past, data centers, GPU leasing, and computing infrastructure benefited from rapid AI demand growth amid relatively loose financing conditions, and the market was willing to pay high valuations for expansion speed. But when investors start worrying about interest rates, financing costs, and capital expenditures, the other side of the asset-heavy model gets exposed: faster revenue growth doesn't necessarily mean better free cash flow. Building data centers, purchasing GPUs, and expanding computing power require massive upfront investment. If cash generated from operations is insufficient to cover capital expenditures, the company may continue to rely on debt issuance or equity dilution for financing. When financing conditions are favorable, this model can expand rapidly. Once financing costs rise, valuation contraction tends to be more pronounced. This logic played out in concentrated fashion on November 5 (see Figure 2).
Caption: Not a single hardware-chain stock closed higher that day; the heaviest losses were in memory and chip stocks that had run up the most, as crowded positions bore the brunt of the sharp selloff.
CoreWeave is a case worth watching (see Figure 3). Based on the company's quarterly reports for the first half of 2026, its operating cash flow totaled approximately $3.663 billion, but free cash flow remained negative at $10.454 billion, indicating that while operations generated cash, a significant funding gap remains after deducting capital expenditures. By contrast, the market is willing to price AppLovin and Cloudflare more favorably largely because their growth translates more directly into revenue, profit, and operating leverage. AppLovin applies AI capabilities to ad placement and monetization, while Cloudflare drives cloud services and cybersecurity business growth through AI-related demand. When the market shifts from "watching stories" to "watching delivery," this difference quickly shows up in stock prices.
Caption: CoreWeave's operating cash flow (blue line) has been consistently positive, but the free cash flow gap (red line) has widened quarter after quarter, with expansion funded mainly through debt issuance and equity dilution.
Checking your holdings doesn't require rereading dozens of pages of financial reports—start with three metrics: operating cash flow, free cash flow, and interest-bearing debt. Consistently positive operating cash flow indicates the core business generates cash. A gradually narrowing free cash flow gap means the company is improving its ability to generate cash organically. If revenue and orders are growing rapidly but free cash flow remains deeply negative long-term while the company continuously issues debt or dilutes equity, then its dependence on external financing conditions is higher. In practice, open your trading app's company profile page, go to the cash flow statement, and note down the net operating cash flow and capital expenditures for the most recent eight quarters. Subtract the latter from the former to get free cash flow, plot it as a line, and you can see at a glance whether the gap is narrowing or widening. Companies burning cash to expand aren't necessarily without value—many great companies in history burned money for years. The difference lies in whether the money spent can convert into future cash flow. What you need to see clearly is what risk you're taking on: if most of your account is concentrated in high-capex, high-financing-need AI infrastructure companies, your portfolio could experience far greater volatility than expected once the market reassesses financing costs and investment returns. The debt structure signals the same thing: CoreWeave has $20.65 billion in debt maturing over the next five years, with $10.59 billion due in 2026 and 2027 alone—refinancing isn't a test for any single year but a recurring challenge for the next five years (see Figure 4).
Caption: Bonds mature every year over the next five years; refinancing pressure is ongoing—this is the other side of the free cash flow gap.
3. The Second Check: You Think You Bought Many Assets, but You May Have Bought Just One Story
Many investors' real problem isn't holding too little—more commonly, it's that their portfolio looks diversified but is actually highly correlated. An account might simultaneously hold AI chips, computing leasing, data centers, cloud computing, robotics, plus Bitcoin and digital asset-related stocks. Their names and businesses differ, but the funding sources behind them may be highly aligned: interest rates, liquidity, risk appetite, and AI capital expenditures. When these factors change, different assets may come under pressure simultaneously. This is why some investors hold a dozen or more stocks yet see their entire account pull back together when the market drops—what's diversified is only company names, not risk sources.
Last week's market made this divergence very clear. On November 5, AI hardware and semiconductors fell sharply, Bitcoin weakened in tandem, while some pharmaceutical assets posted relatively independent gains. Moderna achieved its first quarterly profit in two years in Q3 and raised its full-year revenue growth guidance, touching a 52-week high intraday on November 6. From September 8 to November 6, Moderna gained approximately 81%, while Bitcoin fell about 3.5% over the same period. Even more telling: on the same day, the S&P 500 Equal Weight Index rose 1.86%, hitting a record closing high (see Figure 6). In the same U.S. stock market, the cap-weighted index was falling while the equal-weighted index was rising, indicating that selling was highly concentrated—the declines were mainly in the largest heavyweight stocks. This doesn't mean pharmaceuticals are necessarily better than crypto assets, nor does it mean investors should swap all AI positions for defensive stocks. Rather, it shows that different assets have different pricing logics: some depend more on liquidity and risk appetite, while others are driven mainly by orders, profits, and product progress. When market conditions change, they don't necessarily move in the same direction.
Caption: Since September 8, Moderna has risen 81% while Bitcoin has fallen 3.5% over the same period—both are "high-risk assets," but one feeds on earnings delivery and the other on liquidity.
A more practical approach is to re-examine your account based on the drivers behind each asset, rather than just counting how many stocks you hold. Which positions depend on AI capital expenditures? Which depend on falling interest rates? Which are affected by consumer demand? Which rely mainly on the company's own profit growth? Write one sentence for each holding identifying its primary driver—positions you can't articulate are themselves a risk. Crowding itself creates correlation: on November 5, memory leaders with operating margins as high as 80% still fell sharply—Micron dropped 17.46% and SanDisk fell 22.26%. This selloff first broke through where positions were most crowded and valuations most stretched. If AI hardware, computing power, and crypto-related positions already account for a large proportion of your account, you should recognize that you may be making a concentrated bet on the same macro direction rather than holding multiple independent investment opportunities. A truly healthy portfolio doesn't need to rise every day—the key is that when one theme temporarily fails, other assets in the account can step up. The point of diversification isn't to eliminate volatility; it's to prevent a single misjudgment from determining your entire account's performance.
Caption: On the same day, all of the Magnificent Seven closed lower while the S&P 500 Equal Weight Index hit a record high—the selling was concentrated in the largest heavyweight stocks.
4. The Third Check: When Real Opportunities Appear, Can Your Money Move?
When the market crashes, many investors' first thought is whether they should buy immediately—but in practice, another situation often arises: prices have already fallen to levels you're watching, yet your funds haven't arrived. Cash itself is a position, and the efficiency of fund movement determines whether it's truly usable cash. Suppose a company rapidly reverses on better-than-expected earnings, or the market suddenly drops 10% on policy news—traditional cross-border wire transfers may take 1 to 3 business days. In calm market conditions, this seems like just an operational issue. But during periods dense with earnings, policy, and macro data, a few hours can mean completely different execution prices.
Therefore, an account checkup shouldn't just look at "how much money I have" but also "how quickly that money can become tradable funds." Where the funds are held, how long it takes from initiating a transfer to being able to place an order, and what each deposit and withdrawal costs—all of these should be clarified in advance. For users who meet applicable eligibility and jurisdictional requirements, BIT offers U.S. stock trading services and supports various funding methods including stablecoins and traditional wire transfers. Subject to relevant rules and service conditions, stablecoin funds can be transferred 24/7 via on-chain networks, allowing users to arrange funds without being entirely constrained by traditional banking hours and to prepare available funds in advance according to their trading plans.
Specifically, funds can be viewed in two layers: one is cash in the account ready to place orders at any time, and the other is a backup channel activated only when necessary. The focus of regular checks should be on the second layer—it may not be used often, but when needed, it must be unobstructed. Of course, fast fund arrival doesn't mean you should trade frequently, nor does it mean you need to buy immediately every time the market drops. The real value of funding efficiency is enabling investors to avoid missing execution timing due to funding channels after they've already formed a clear trading plan. Trading capability includes not only judging assets and prices but also position management, risk control, and execution efficiency. Rather than handling deposits hastily when opportunities arise, check your funding arrangements in advance so that when you need to act, you have choices rather than only waiting.
5. After This Crash, What Should Really Remain?
Every major selloff generates enormous noise: some say the AI bubble has burst, others see it as a new golden pit, and still others try to predict the direction of the next few months from a single day's candlestick. But for ordinary investors, more valuable than predicting next week's moves is using market volatility to re-examine account structure. Cash flow determines whether a company can survive cycles; diversification determines whether an account can withstand a single theme failing; funding efficiency determines whether you can participate in time when opportunities arise. These three questions correspond to the three most easily overlooked dimensions of investing: what to buy, how much risk to take, and whether you have the ability to execute.
Take a moment to reopen your holdings table and add three judgments for each position: What does it rely on to make money? What factor is it most afraid of? And if an opportunity arises, does the account still have available funds? Doing this isn't about predicting that the market will definitely rise next, nor does it require investors to take action on every pullback—it's about making risks concrete and giving every trade a clearer logic. The market won't stop AI investment because of one crash, nor will it end the long-term opportunity in crypto assets because of one correction. What's changing is that capital is becoming more selective in choosing assets. When markets are rising, many theses can hold true. Only after volatility actually appears is it easier to see which assets can withstand verification and which positions need adjustment.
No one can accurately know when the next round of opportunities will emerge, but investors can prepare their accounts in advance: understand the cash flow risks of high-capex companies, break down highly correlated thematic positions, and keep funds reasonably liquid. That way, when the market presents opportunities, the question won't just be "do I dare to buy" but rather being able to further judge why to buy, how much to buy, and under what circumstances to exit. What long-term trading pursues is never catching the exact bottom every time—it's having the ability to manage risk and preserve options in different market environments.
Disclaimer:
This content is for general informational and market commentary purposes only, based on public information available as of the time described in this article, and relevant market data, expectations, and probabilities may change with market conditions. The views and investment strategies of third-party institutions, analysts, or other individuals cited herein represent only those parties' views at specific times and do not represent BIT's views or recommendations. This article does not constitute investment advice, investment research, an offer, solicitation, or recommendation of any securities, investment products, or trading strategies, and should not be relied upon as the basis for any investment decision. Financial markets involve risk; securities prices and market performance may fluctuate, and historical performance and past market trends do not represent or guarantee future results. Investors should independently assess relevant risks based on their own circumstances and seek professional advice when necessary.
