이는 '비공개' 기업이 '공개' 기업으로 전환되는 지점입니다. 시장은 OpenAI, SpaceX, 그리고 새로운 ASX 상장 후보들의 내부를 처음으로 제대로 들여다보게 됩니다.

기업공개(IPO)는 비상장 기업이 처음으로 일반 대중에게 주식을 제공하는 것을 말합니다. IPO 전에는 주식이 보통 창업자, 초기 직원, 사모 투자자에게만 보유되지만, 상장하면 더 넓은 시장에서 해당 주식에 접근할 수 있게 됩니다.
트레이더에게 IPO는 한 기업의 주식에 직접 노출될 수 있는 첫 기회일 수 있습니다. IPO는 높은 변동성과 관심이 집중되는 독특한 환경을 만들 수 있지만, 가격 이력이 제한적이고 투자 심리가 빠르게 변할 수 있어 더 높은 위험도 수반합니다.
| 회사 | 추정 가치 | 거래소 | 상태 |
|---|---|---|---|
Anthropic Artificial intelligence | ~US$350 billion | Nasdaq | Rumoured |
Databricks AI and data | ~US$134 billion | Nasdaq | Expected |
Firmus Technologies AI infrastructure | ~A$6 billion | ASX | Expected |
Greencross Pet care & veterinary | ~A$4 billion plus | ASX | Rumoured |
OpenAI Artificial intelligence | ~US$850 billion | Nasdaq | Expected |
Rokt E-commerce adtech | ~US$7.9 billion | Nasdaq and ASX CDI | Expected |
SpaceX Aerospace and AI | ~US$1.5 trillion | Nasdaq | Expected |
Stripe Fintech | ~US$140 billion | NYSE/Nasdaq | Rumoured |
상장 절차는 어떻게 진행되나요
상장일이 되면 기관투자자들은 보통 이미 해당 기업을 평가한 상태입니다. 6단계 과정을 이해하면 트레이더는 주식이 더 넓은 시장에서 거래되기 전에 어떤 요인이 이미 가격에 반영되었을 수 있는지 파악할 수 있습니다.
회사는 재무 상태, 지배구조 및 시장 포지셔닝을 평가할 주관사를 선정합니다.
주관사는 실사를 수행하고 관련 규제기관에 공시 서류를 제출합니다.
경영진은 기관투자자와 애널리스트에게 회사를 설명합니다. 이 단계에서 수요가 형성되고 가격 기대치가 설정되며, 이는 개인 트레이더가 해당 주식을 보기 전입니다.
로드쇼 피드백을 바탕으로 주관사는 최종 주가를 정하고 발행할 주식 수를 결정합니다.
주식은 선택된 거래소에서 거래를 시작합니다. 대부분의 트레이더에게 이는 해당 주식을 거래할 첫 기회입니다.
상장 이후 회사는 정기적으로 재무 실적을 발표하고 해당 거래소의 지배구조 기준을 충족해야 합니다.
CFD로 IPO 거래하기
IPO 상장일은 큰 투자심리 변동과 제한적인 가격 이력으로 특징지어지는 경우가 많습니다. 이러한 조합은 전통적인 매수 후 보유 방식의 노출 관리를 더 어렵게 만들 수 있습니다. CFD는 트레이더가 가격 움직임의 양방향에 대해 견해를 취하고, 포지션 규모를 정밀하게 조절하며, 상황 전개에 빠르게 대응할 수 있게 합니다.
초기 급등 또는 열기 이후 조정을 거래하세요. CFD를 통해 상장일 이후 어느 방향으로든 포지션을 취할 수 있습니다.
IPO 변동성은 보통 첫 며칠과 몇 주에 집중되는 경향이 있습니다. CFD는 이러한 짧고 이벤트 중심적인 기간에 적합합니다.
손절매와 지정가 주문은 진입 전에 위험을 정의하는 데 도움이 될 수 있으며, 가격 발견이 아직 진행 중일 때 특히 중요합니다.
하나의 계좌로 Rokt 및 Firmus Technologies와 같은 종목을 포함한 미국 및 호주 시장의 주식 CFD에 접근하세요.

빠른 체결, 경쟁력 있는 가격, 내장형 리스크 관리 도구로 미국 및 호주 주식 CFD에 접근하세요.


4월 미국 기업들의 실적 발표 시즌은 단순한 이야깃거리 이상의 것을 원하는 시장에 도래했습니다. JP모건 은 이미 강력한 실적으로 높은 기준을 제시했으며, 이제 관심은 S&P 500의 핵심 동력원인 AI 인프라로 옮겨가고 있습니다. 이 이야기의 중심에는 세 기업이 있습니다.
마이크로소프트, 알파벳, 엔비디아는 AI 사이클의 단순한 참여자가 아닙니다. 이들은 다른 기업들이 의존하는 물리적 및 소프트웨어 아키텍처, 즉 칩, 클라우드 리전, 모델, 도구를 구축하고 있습니다. 이러한 지출이 수익을 창출한다면, 그 첫 징후는 앞으로 몇 주 안에 발표될 이들의 분기별 실적에서 나타나기 시작할 수 있습니다.
각 기업은 각기 다른 시험대에 올라 있습니다.
2026년에는 AI 투자가 이루어지고 있는지 여부는 더 이상 질문이 아닙니다. 자본 투입은 상당하며 이미 공개적으로 발표되었습니다. 문제는 그 지출이 투자의 규모를 정당화할 만큼 충분히 빠르게 수익을 창출하는지 여부입니다.
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April’s US earnings season is arriving in a market that is asking harder questions. It is no longer enough for companies to tell a good story. Traders want to see whether the physical side of the next cycle is turning into real revenue, steadier margins and clearer guidance.
That is why Tesla, NextEra Energy and Exxon Mobil matter this month. Each sits close to a theme the market is trying to price right now: autonomy, electricity demand and oil supply risk. They are very different businesses, but together they offer a useful read on where attention may be shifting when the market wants something more tangible.
In 2026, those signals are colliding with a high-friction backdrop:
The broader theme here is simple. AI still matters. Growth still matters. But this earnings season may also test the companies supplying the power, infrastructure and fuel behind that story.
For beginner to intermediate traders, this matters because these stocks can move for very different reasons. Tesla can trade on margins and product narrative. NextEra can trade on power demand and capital spending plans. Exxon can move with crude, refining margins and buyback confidence. Looking at them together gives traders a clearer way to think about how the market is pricing the real economy side of the 2026 story.


So here is the thing: April’s US earnings season is arriving in a market that still feels anything but normal. As GO Markets explains in The global US earnings playbook: The essential guide for traders, this reporting period is landing after a real shift in what markets care about. It is no longer just about chasing growth at any cost. It is about what the numbers are saying beneath the surface.
And in 2026, those signals are colliding with a high-friction backdrop:
Yes, AI is still the market’s main story but it's still the flashy engine getting most of the attention. But underneath that, there is a quieter move towards companies that look built to hold up better when conditions get harder.
When rates are uncertain and energy markets are under pressure, names like JPMorgan Chase and the major defence contractors start to carry more weight. They are not replacing the AI narrative, rather, they are becoming part of the way traders read risk appetite, earnings durability and, ultimately, where the market is looking for something more solid to hold on to.


If you have been watching markets over the past year, you will have noticed that the "growth at any cost" era has effectively hit a wall. The April 2026 earnings cycle arrives at a moment when the market's focus has undergone a structural reorientation. It is not just about profit and loss statements anymore. It is about the signals sitting behind them.
With interest rate uncertainty lingering and geopolitical shocks pushing oil above US$100, the playbook has shifted from AI hype toward institutional resilience and the industrialisation of compute. For traders in Australia, Asia and Latin America, these results may act as a mood ring for global risk appetite and the emerging security supercycle.

A BMO result hits before the US cash market opens, so price discovery happens in pre-market trading where liquidity is thinner and moves can be exaggerated. An AMC result hits after close, meaning the reaction is compressed into a short pre-market window the following morning. Understanding which window your company reports in is as important as understanding what it reports.
It's worth asking: Is the obvious trade already priced for perfection?
2026 is shaping up as a year of proof. Companies that spent heavily on AI over the past two years are now being asked to show the return. The market is no longer rewarding the announcement of AI investment. It is rewarding the evidence of AI-driven revenue outcomes.
A better framing question for each result is this: are you reacting to a headline, or are you assessing the company's role in the physical AI supply chain or as a potential volatility hedge? Those are very different analytical tasks, and they tend to produce very different positioning decisions.


Here is the situation as April begins. A war is affecting one of the world's most important oil chokepoints. Brent crude is trading above US$100. And the Federal Reserve (Fed), which spent much of 2025 engineering a soft landing, is now facing an inflation threat driven less by wages, services or the domestic economy, and more by energy. It is watching an oil shock.
The Fed funds rate sits at 3.50% to 3.75%. The next Federal Open Market Committee (FOMC) meeting is on 28 and 29 April and the key question for markets is not whether the Fed will cut, it is whether the Fed can cut, or whether the energy shock may have shut that door for much of 2026.
A heavy run of major data releases lands in April. The March consumer price index (CPI), non-farm payrolls (NFP) and the advance estimate of Q1 gross domestic product (GDP) are the three that matter most. But the FOMC statement on 29 April may be the release that sets the tone for the rest of the year.
Think about what the US economy looked like coming into this year: AI-driven capital expenditure (capex) was a major part of the growth narrative, corporate investment intentions looked firm and the One, Big, Beautiful Bill Act was already in the mix. On paper, the growth story looked solid.
Then the Strait of Hormuz situation changed the calculus. Not because the US is a net energy importer, it is not, and that structural insulation matters. But what is good for US energy producers can still squeeze margins elsewhere and weigh on global demand. The 30 April advance Q1 gross domestic product (GDP) estimate is now likely to be read through two lenses: how strong was the economy before the shock, and what it may signal about the quarters ahead.
February's jobs report was, depending on how you read it, either a blip or a warning sign. Non-farm payrolls (NFP) fell by 92,000, unemployment edged up to 4.4% and the official line was that weather played a role. That may be true but here is what also happened. The labour market suddenly looked a little less convincing as the main argument for keeping rates elevated.
The 3 April employment report for March is now genuinely consequential. A bounce back to positive payroll growth would probably steady nerves and a second consecutive soft print, particularly against a backdrop of higher energy prices, would start to build a very uncomfortable narrative for the Fed. It would be looking at slower jobs growth and an inflation threat at the same time. That is not a comfortable place to be.
Here is the uncomfortable truth about where inflation sits right now. Core personal consumption expenditures (PCE), the Fed's preferred gauge, was already running at 3.1% year on year in January, before any oil shock had fed through. The Fed had not fully solved its inflation problem, rather, it had slowed it down. That is a different thing.
And now, on top of a not-quite-solved inflation problem, oil prices have moved sharply higher. Energy prices can feed into the consumer price index (CPI) relatively quickly, through petrol, transport and logistics costs that can eventually show up in the price of nearly everything. The 10 April CPI print for March is probably the most important single data release of the month, it is the one that may tell us whether the energy shock is already showing up in the numbers the Fed watches.
April is also the start of US earnings season, and this quarter's results carry an unusual amount of weight. Investors have been pouring capital into AI infrastructure on the basis that returns are coming. The question is when. With geopolitical volatility driving a rotation away from growth-oriented technology and towards energy and defence, JPMorgan Chase's 14 April earnings will be read as much for what management says about the macro environment as for the numbers themselves.
Then there is the FOMC meeting on 28 and 29 April. After the early-April run of data, including NFP, CPI and producer price index (PPI), the Fed will have more than enough information to update its language. Whether it signals that rate cuts could remain on hold through 2026, or whether it leaves the door slightly ajar, may be the most consequential communication of the quarter.
Geopolitical volatility has already pushed investors to reassess growth-heavy positioning. The estimated US$650 billion AI infrastructure buildout is also coming under heavier scrutiny on return on investment. If earnings season disappoints on that front, and if the FOMC signals a prolonged hold, the combination could test risk appetite heading into May.

Asia dominates the global semiconductor supply. Five companies, spanning Taiwan, South Korea, and Japan, sit at the critical juncture of the AI buildout, controlling everything from fabrication to the equipment that makes chips possible.
TSMC is the world's largest contract chip manufacturer, producing advanced semiconductors for Apple, Nvidia, AMD, and Qualcomm. As a pure-play foundry, it leads in 5-nanometer (5nm) and 3- nanometer (3nm) chip production, with smaller nodes in development.
The company posted $90 billion in revenue for 2024 with a 59% gross margin and 36% return on equity.
Shares delivered a total return of 55% in 2025, with analysts forecasting a further ~30% revenue increase in 2026, underpinned by its $100 billion US expansion programme.
The key risk for the company is its geopolitical exposure, with Taiwan Strait tensions remaining the sector's most-watched tail risk.
Samsung is one of the few companies globally that both designs and fabricates chips at scale. It competes across DRAM, NAND flash, and logic chip segments, and remains a core supplier to global tech giants.
Samsung's wide scope is a strength, but also a complexity. Its memory division faces margin pressure from inventory cycles, while its foundry business continues to lag TSMC in leading-edge yields.
The AI-driven memory boom may provide a tailwind, though execution in HBM production has been slower than local rival SK Hynix.

Tokyo-based Advantest makes testing equipment used to verify chips meet performance and quality standards.
It supplies to Samsung, Intel, Nvidia, Qualcomm, and Texas Instruments, allowing it to benefit from chip industry growth broadly, regardless of which foundry wins market share.
Advantest shares doubled in 2025 (+102%), and it raised its sales forecast by 21.8% and earnings forecast by 70.6% for the year ending March 2026.

Tokyo Electron is among the world's largest suppliers of semiconductor production equipment, specialising in deposition, etching, and cleaning tools.
Every major chipmaker, including TSMC, Samsung, and SK Hynix, depends on TEL's systems to scale production.
As chipmakers invest billions to expand capacity, TEL's order book grows. The risk lies in potential US export restrictions on advanced equipment sales to China, which remains one of the primary revenue segments for the company.
SK Hynix is the world's second-largest memory chip maker and has emerged as arguably the clearest AI-era beneficiary in the memory space.
It is Nvidia's primary supplier of High Bandwidth Memory (HBM) chips, the specialised memory used in AI accelerators like the H100 and B200.
HBM demand has driven a dramatic re-rating of SK Hynix's revenue profile and market standing. With AI infrastructure spending showing little sign of slowing heading into 2026, the company's HBM franchise could remain a key differentiator.
However, capacity constraints and the risk of Samsung and Micron closing the HBM gap are the primary concerns to watch.
TSMC, SK Hynix, Samsung, Advantest, and Tokyo Electron collectively control the chokepoints of the AI buildout.
The expected increase in AI infrastructure may support demand, but investors should weigh the risks carefully.
Geopolitical exposure, US export restrictions, and the pace of HBM competition could all move the needle.
회사, IPO 후보, 가치 평가, 거래소, 섹터 및 시장에 대한 언급은 설명 목적일 뿐이며, 게시 시점에 공개적으로 이용 가능한 정보를 기반으로 하고 사전 통지 없이 변경될 수 있습니다. 예정된 상장은 지연, 수정 또는 취소될 수 있으며, 이 페이지에 포함되었다고 해서 해당 회사가 상장되거나 특정 주식 또는 CFD가 GO Markets를 통해 거래 가능하다는 의미는 아닙니다.