Netflix reported third-quarter results in the early hours of Oct. 21 Beijing time, posting earnings per share of $0.87. On OKX, the related earnings prediction settled as Yes. Yet the corresponding perpetual contract fell about 5.30% from the U.S. stock market close before the report to the close of the first full trading day after earnings. The result captures a basic split that often gets blurred in earnings season: clearing a preset threshold and getting a positive price reaction are not the same thing.
In its “Prophet Season 3” campaign, OKX set up two kinds of earnings-related predictions. One asked whether a company’s report would meet a predefined threshold. The other asked whether the price would rise on the first full trading day after the earnings release. The two look closely linked, but they do not have to settle the same way. One is a rules-based check against a stated metric. The other reflects how the market absorbs the numbers, guidance, spending plans and valuation questions that come with them.
Four companies, three different combinations
The first round involving Netflix, SpaceX, Tesla and Meta already showed that earnings outcomes and price action do not map neatly onto each other.
SpaceX saw both earnings and contract price move higher. Revenue for the quarter reached $14.6 billion, up 161% year over year, while net profit came in at $4.4 billion after a loss of about $1.1 billion in the same period a year earlier. Even so, the article notes that revenue growth and price gains are separate measures. A 161% increase in revenue does not directly explain a 7.65% rise in the contract.
The other three cases were harder to reduce to a simple good-or-bad label. Netflix lifted EPS by about 49% year over year, but cut its full-year advertising revenue outlook from about $3 billion to about $2.7 billion. Tesla posted quarterly revenue of about $28 billion, nearly flat from a year earlier, while operating profit fell about 56% year over year. Meta grew revenue by 26%, but also reported litigation-related costs and large capital spending.
Why a stock-linked contract can fall even when earnings clear the line
Within the OKX event, “beat” or “miss” is determined by the threshold written into the question. The market’s reaction depends on something broader: what investors were already expecting before the report. That can include whether a new business line is still growing, whether margins are improving, and whether management is likely to raise forward guidance. A single EPS question cannot capture all of that.
Netflix is a clean example. The roughly 49% EPS increase describes profit already earned in the quarter. The lower advertising revenue outlook points to business conditions that may be weaker than previously expected. If investors had also been counting on ad growth when they bought in, then a quarter that met the profit threshold would not remove that concern. The earnings question can settle as Yes while investors still reassess price.
Tesla presents a different version of the same split. The company could clear the event threshold while operating profit is still falling. Investors then have to judge whether that profit decline will continue when revenue growth is close to flat, and what level of earnings is needed to support the current valuation. For companies like this, meeting the event threshold answers only part of the earnings puzzle.
The article is careful not to reduce every post-earnings decline to a single explanation such as “good news was already priced in.” It says more context is needed: how much the stock had risen before earnings, whether profit forecasts had been revised higher, and whether valuation had become richer. Sometimes a move is also tied to the broader sector. Management commentary on the earnings call and changes in the wider market can shape trading as well. Lower ad expectations and weaker profit trends offer clues, but they do not by themselves prove what caused a specific drop.
Beyond profit: spending and cash flow matter too
Meta’s report adds another layer. Under U.S. GAAP, the company posted EPS of $3.83. Excluding litigation-related costs, EPS was $7.40. The OKX event settles on the agreed GAAP basis, but company analysis cannot stop there. Investors still need to separate how much of the profit change came from core operations, how much came from that expense, and how long the effect may last.
That expense created a wide gap between the two EPS figures. The event can still produce a clear answer under its rules, but investors need to look at both sides. Earnings excluding the charge can help show operating conditions. The expense recognized under GAAP also affects shareholder returns in a real way. It should not be ignored because it is unusual, and it should not be used on its own to conclude that the core business is set to keep deteriorating.
Meta also reported capital expenditures of about $34.9 billion for the quarter and free cash flow of negative $2.12 billion. That raises a different question: with revenue still growing, how much cash is the company actually keeping after investment? Free cash flow is usually calculated as operating cash flow minus capital expenditures, subject to the company’s own disclosure basis. Compared with EPS, it gives a more direct view of cash left after spending.
When a company buys equipment and builds data centers, cash goes out first, while the related cost is often recognized gradually through depreciation over the useful life of the assets. That helps explain why a company can remain profitable and still face cash flow pressure during expansion. In Meta’s case, earnings metrics and capital spending need to be read together. Looking only at EPS can miss the cost of supporting future growth.
The next question for the market is return on that spending. If the added capacity is used by customers and generates enough profit, today’s outlay may support future growth. If revenue does not catch up and more capital is still required, investors may need to revisit valuation. The article argues that this issue does not stop with Meta. It extends to the broader AI supply chain.
What prediction readings can and cannot tell traders
Putting the earnings question and the price question side by side can help show whether participants view the report and the likely market reaction in the same way. But the article draws a line here. Prediction readings are formed through trading and reflect a tendency at that moment; they are not the same as the true probability of an event. User selection ratios and long-run accuracy rates also rely on different statistical bases. They can point to areas worth studying, but they cannot directly prove whether a stock is cheap or expensive.
If the earnings question leans clearly toward Yes while the price question is less optimistic, the gap itself becomes the point of interest. Participants may think the earnings hurdle is easy to clear while still worrying about guidance or spending. They may also think the pre-earnings rally already reflected much of the good news. If both questions lean Yes, the next issue is how much room remains for the actual report to exceed what was already expected. If both lean No, prior declines may already have absorbed part of the concern.
Timing matters too. Participants know different things one day before earnings, one hour before the release and during the earnings call. If the earnings question stays tilted toward Yes while the price question weakens over time, the next step is to check what new information appeared during that period. Views formed after the report should not be treated as pre-report predictions.
The article says these changes and the reasons behind them should be recorded before the release so they can be checked afterward. If the earnings question is wrong, the review can focus on operating estimates and accounting definitions. If the earnings question is right but the price question is wrong, the review can test whether the market’s reaction to good news was overestimated or whether a guidance change was missed. Even when the direction is right, it still matters whether the company truly met expectations or whether the stock simply moved with the sector. That kind of review helps avoid a common trap: looking only for positives after a rally and only for negatives after a drop.
For real trading, the article adds another layer of caution. Entry price, upside, downside, costs and leverage all need separate consideration. A setup with a higher chance of rising may still produce only a small gain, while a decline could lead to a larger loss. Getting the direction right does not remove the need for position sizing and exit rules.
The “earnings winner” streak is hard to maintain
OKX’s “Earnings Winner” event links the earnings question and the price question into a continuous challenge. In the first round, more than 700 participants joined. Of the 150 users who started with two straight correct calls, only three eventually reached six in a row. All three were eliminated in the same round and split a 10,000 USDT prize. The shrinking list added suspense, though the article says the streak data alone is not enough to show how accurate prediction markets are over the long run.
The second round gave participants one revival chance. Under the rules, users could apply for revival by posting a position card and their view within the required time window. But anyone who missed two or more questions on the same day, or missed again after revival, could not continue. Participants had to answer both the earnings question and the price question; they could not choose only the type they felt more confident about.
Robinhood and SK hynix in the second round showed why the two-question structure matters. Both settled as No on the earnings question, but their price questions diverged. Robinhood reported GAAP EPS of $0.51, missing the requirement of being strictly above $0.56. Adjusted EPS was $0.60, but the event still settled on the specified basis. Robinhood’s price question also settled as No, while SK hynix’s price question settled as Yes. Both companies missed the earnings hurdle, yet price moved in different directions.
Alphabet produced another mismatch with participant choices. Before the report, OKX Chinese disclosed that about 62% of users chose “beat.” Alphabet ultimately reported GAAP EPS of $2.12, below the event requirement of being strictly above $3.10. Growth in Google Cloud and whether group EPS cleared the line were two different matters. The article also notes that the 62% figure refers to the share of user selections, not a market-implied prediction price, and it cannot be used to infer why each participant chose Yes.
As more companies are added, maintaining a streak gets harder. Streaming requires attention to ad growth. Trading platforms require a read on client activity. Memory chip makers require a view on demand and pricing. Those business details then have to be translated into the exact wording of each event. Participants need to switch research focus quickly and then make a separate call on the market reaction after earnings.
According to the Oct. 30 update, three advancing participants in the second round had reached seven straight correct calls, but all had already used their revival chance. There are still five first-day post-earnings price predictions left, and none of the three is yet the final winner. Even if they judged earnings correctly before, they still need to judge how the market will react next, with no room left for error.
What to watch in the next batch of earnings
The article says the AI supply chain remains worth tracking as a group in the next round of reports. Cloud businesses and capital spending at Microsoft, Alphabet and Amazon can help show upstream demand. For cloud platforms, buying equipment is an investment. For chip, memory and optical communications suppliers, that same spending can become orders. The return-on-investment question raised by Meta can be followed down the chain.
For cloud platforms, the key is whether customer usage and revenue can keep pace with spending. For suppliers, the focus is whether orders can be delivered on time and how much profit and cash remain at the end. When chip and memory companies report revenue growth, investors still need to separate whether it came from higher volume, higher prices or a richer mix of higher-value products. Optical communications, computing infrastructure and energy companies need to be checked against delivery schedules and capital commitments.
Spending, order intake, delivery, revenue recognition and cash collection often do not happen in the same quarter. Connecting the data across the chain makes it easier to judge whether growth can continue. It also helps explain why companies that all benefit from AI can still show different earnings outcomes and different price reactions.
The article points to another group worth comparing: Coinbase, Circle and Strategy. They touch trading activity, stablecoin business and digital asset prices, and active market conditions do not affect them in the same way. When reading their reports, investors need to separate growth driven by business expansion from growth driven mainly by market prices at the time. Interest rates and risk appetite form a shared backdrop, but each company still has to be judged on its own revenue and balance sheet.
That is why the next set of reports should not be judged only by which companies clear an earnings hurdle. Revenue growth also needs to be checked against profit and cash generation. If those metrics move in different directions, the next step is to identify where growth came from, where costs increased and whether those changes alter the valuation framework already applied to the company.
Earnings questions and price questions are different by design
From Netflix’s “earnings passed, price fell” setup to the different combinations seen in Robinhood and SK hynix, the cases in the article point back to one issue: the market is not trading a report card by itself. It is trading how that report card changes the view of the future. A prediction event can put a clear threshold on one part of that judgment. The stock price still absorbs changes in guidance, valuation, funding costs and risk appetite. The two can move together, or they can split.
The value of this kind of prediction framework, as presented in the article, is not that it offers a guaranteed profitable direction. Its value is that it forces participants to separate “what will the earnings report show” from “how will the market react,” then check both judgments after the fact. As more companies report and the sectors involved become more varied, that separation matters more. First read the wording of the question and the data. Then identify what expectations were already in the price. Then watch how new information changes the trade.
