Almost every country in the world has a stock exchange with some countries having multiple exchanges. There are over 60 major exchanges across the globe with the total market cap of over $85 trillion. But only 18 of those are in the so-called ''$1 trillion club''.
The top 18 stock exchanges have a total value of $77 trillion which makes up around 90% of the total global stock exchange market cap. United States The United States has two of the largest stock exchanges in the world - The New York Stock Exchange (NYSE) and the National Association of Securities Dealers Automated Quotations (NASDAQ). NYSE is the largest with a market cap of just over $23 trillion, that’s around $12 trillion more than second largest stock exchange NASDAQ.
Some of the biggest companies listed on NYSE include the tech giants Apple, Google, Microsoft and world’s 4th largest company by market cap - Amazon. Asia The largest stock exchanges in Asia are located in Tokyo (JPX) and Shanghai (SSE), with total market caps of $6.06 and $4.53 trillion respectively. Some of the largest companies on the JPX include automotive manufacturer Toyota, SoftBank, Mitsubishi and NTT DoCoMo.
Europe The largest European based stock exchange is based in Amsterdam (Euronext) with a market cap of around $4.34 trillion, closely followed by the London Stock Exchange (LSE) at $4.32 trillion. Some of the largest companies listed on Euronext include American multinational cigarette and tobacco manufacturer Philip Morris, Procter Gamble and HSBC Holdings. South America Brazilian Stock Exchange (Bovespa) is the largest in South America and 20th largest in the world with a market cap of around $783 billion, followed by the Mexican Stock Exchange (BMV) at $393 billion.
Africa Largest stock exchange in Africa is based in Johannesburg (JSE), South Africa with the market cap of just over $1 trillion. It is worth pointing out that it was the first stock exchange to reach $1 trillion market cap in Africa. Australia At $1.45 trillion market cap the Australia Stock Exchange (ASX) is the largest in Australia with not much competition to the top spot on the continent.
Some of the largest companies include Commonwealth Bank, Westpac Banking Corp, and CSL Limited. The financial sector makes up around 40% of the total market cap of the ASX. Map of the Largest Stock Exchanges by Continent Source: Google Maps Getting Close To A Trillion The closest stock exchange to join the ''$1 trillion club'' is the Spanish Stock Exchange (BME) at $851 billion market cap.
Some of the biggest companies listed include Spain’s two largest banks - Banco Santander and BBVA and global energy company Repsol. Brazilian Stock Exchange in Sao Paolo is second closest the $1 trillion market cap at $783 billion. If it does reach the $1 trillion market cap, it will become the first South American stock exchange to reach the milestone.
Other two exchanges closest to the milestone include the Singapore (SGX) and Moscow (MOEX) stock exchanges at $727 and $621 billion market cap respectively. By Klāvs Valters This article is written by a GO Markets Analyst and is based on their independent analysis. They remain fully responsible for the views expressed as well as any remaining error or omissions.
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In 2025, the S&P 500 traded around 6,835 and was up approximately 16% year to date (YTD). Market direction remained most sensitive to Federal Reserve expectations, inflation data and the earnings outlook, with returns also shaped by mega-cap tech leadership and the broader AI narrative. The index pulled back from earlier December highs, but it has so far held above key major moving averages (MA).
Key 2025 drivers included:
Fed expectations and inflation: Inflation cooled through the year but remained sticky around 2.5% to 3%. A Fed easing bias likely supported price to earnings (P/E) multiples and “risk-on” positioning. More recently, markets appeared increasingly rate-sensitive, with the decreased likelihood of an additional rate cut until March 2026.
Earnings and guidance: Corporate earnings remained strong quarter on quarter. Recent Q3 results reportedly saw over 80% of the S&P 500 beat earnings per share (EPS) expectations. For Q4, the estimated year-over-year earnings growth rate is 8.1%, despite ongoing concerns around import tariffs and potential margin pressure.
Index leadership and breadth: Returns were heavily influenced by mega-cap tech and AI beneficiaries, even as broader market breadth appeared less consistent at points through the year.
Policy headlines and volatility: Trade and tariff headlines drove sharp moves, particularly earlier in the year. Some investors pointed to the “TACO” trade, with rapid recoveries after policy proposals were softened. Over time, similar shocks appeared to have less impact as the market became somewhat desensitised.
Valuations and sensitivity: The forward 12-month P/E ratio for the S&P 500 is 22, above the 5-year average (20.0) and above the 10-year average (18.7). That gap kept valuation sensitivity, especially in AI-linked names, firmly in focus.
Current state
The S&P 500 is about 1% below record highs hit earlier in December. That could indicate the broader uptrend remains in place, with a move back toward the recent highs one possible scenario if momentum improves. Despite the recent retracement, the index remains above all key major moving averages (MA). The latest bounce followed lower than expected CPI numbers earlier this week, alongside continued, and to some, surprising optimism about what may come next.
What to watch in January
Q4 earnings from mid-January: Results and guidance may help clarify whether valuations are being supported by forward expectations.
AI narrative and positioning: With AI-linked mega-caps carrying a large share of market capitalisation, changes in sentiment or expectations could have an outsized impact on index performance.
US jobs and CPI data: The latest US jobs report reportedly points to the highest headline unemployment rate since 2021. Cooling inflation this week may keep markets alert to shifts in rate cut timing, particularly around the March decision.
S&P 500 daily chart
Source: TradingView
Major FX pairs
Source: Adobe Images
AUD/USD
AUDUSD has been choppy in 2025. Since the “redemption day” drop in April, the move has looked more like a steady grind higher than a clean upside trend.
Key levels Recent peaks in early September and mid-December highlight resistance near 0.6625. Support has been evident around 0.6425, where price bounced over the last month.
What is supporting the bounce That support test coincided with stronger than expected jobs and inflation data, lifting expectations that the Reserve Bank of Australia (RBA) may raise rates during 2026 rather than cut again. The latest pullback looks contained so far, with buying interest already visible and price still above key longer-term moving averages.
What could drive a breakout The pair remains range-bound, but the tilt is still constructive. If Chinese data stays firm, metals prices hold up, and the central bank outlook remains relatively hawkish, a break above resistance could gain more traction.
AUD/USD daily chart
EUR/USD
After early 2025 euro strength, EURUSD has mostly consolidated since June in a roughly 270 pip range. This month tested 1.18 resistance, reaching highs not seen since September.
What price is doing now The recent pullback still lacks strong downside conviction. Some technical analysts refer to the 1.17 area as a near-term reference level.
What could come next If price holds 1.17 and buyers step back in, another push toward 1.18 is possible. One view is that the European Central Bank (ECB) could be less inclined to ease in 2026, which could be consistent with a firmer EURUSD scenario. Broader analyst commentary also suggests the euro may stall rather than collapse against the US dollar, although outcomes remain data and policy dependent.
EUR/USD daily chart
USD/JPY
Year-to-date picture USDJPY is close to flat overall for the year. After US dollar weakness in Q1, the pair reversed higher and now sits just below resistance near 158.
Rates remain the main driver Rate differentials still favour the US dollar. The Bank of Japan (BOJ) held steady for much of the period despite expectations it might act, and the recent rate increase was modest. Policy has only moved marginally away from zero.
What could shift the balance Rate differentials remain a key influence. Without a clearer shift in BOJ policy, the JPY may find it difficult to sustain a rebound. Some market commentators cite 154.20 as a chart reference level.
2025 has seen a material decline in the fortunes of the greenback. A technical structure breakdown early in the year was followed by a breach of the 200-day moving average (MA) at the end of Q1. The index then entered correction territory, printing a three-year low at the end of Q2.
Since then, we have seen attempts to build a technical base, including a re-test of the end-of-June lows in mid-September. However, buying pressure has not been strong enough to push price back above the technically critical and psychologically important 100 level.
What the levels suggest from here
As things stand, the index remains more than 10% lower for 2025. On this technical view, the index may revisit the 96 area. However, technical levels can fail and outcomes depend on multiple factors.
US dollar index
Source: TradingView
The key question for 2026
The key question remains: are we likely to see further losses in the early part of next year and beyond, or will current support hold?
We cannot assess the US dollar in isolation and any outlook is shaped by internal and global factors, not least its relative strength versus other major currencies. Many of these drivers are interrelated, but four potential headwinds stand out for any US dollar recovery. Collectively, they may keep downside pressure in play.
Four headwinds for any US dollar recovery
1. The US dollar as a safe-haven trade
One scenario where US dollar support has historically been evident is during major global events, slowdowns and market shocks. However, the more muted response of the US dollar during risk-off episodes this year suggests a shift away from the historical norm, with fewer sustained US dollar rallies.
Instead, throughout 2025, some investors appearedto favour gold, and at other times, FX and even equities, rather than into the US dollar. If this change in behaviour persists through 2026, it could make recovery harder, even if global economic pressure builds over the year ahead.
2. US versus global trade
Trade policy is harder to measure objectively, and outcomes can be difficult to predict. That said, trade battles driven by tariffs on US imports are often viewed as an additional potential drag on the US dollar.
The impact may be twofold if additional strain is placed on the US economy through:
a slowdown in global trade volumes as impacted countries seek alternative trade relationships, with supply chain distortions that may not favour US growth
pressure on US corporate profit margins as tariffs lift costs for importers
3. Removal of quantitative tightening
The Fed formally halted its balance sheet reduction, quantitative tightening (QT), as of 1 December 2025, ending a program that shrank assets by roughly US$2.4 trillion since mid-2022.
Traditionally, ending QT is seen as marginally negative for the US dollar because it stops the withdrawal of liquidity, can ease global funding conditions, and may reduce the scarcity that can support dollar demand. Put simply, more dollars in the system can soften the currency’s support at the margin, although outcomes have varied historically and often depend on broader financial conditions.
4. Interest rate differential
Interest rate differential (IRD) is likely to be a primary driver of US dollar strength, or otherwise, in the months ahead. The latest FOMC meeting delivered the expected 0.25% cut, with attention on guidance for what may come next.
Even after a softer-than-expected CPI print, markets have been reluctant to price aggressive near-term easing. At the time of writing, less than a 20% chance of a January cut is priced in, and it may be March before we see the next move.
The Fed is balancing sticky inflation against a jobs market under pressure, with the headline rate back at levels last seen in 2012. The practical takeaway is that a more accommodative stance may add to downward pressure on the US dollar.
Current expectations imply around two rate cuts through 2026, with the potential for further easing beyond that, broadly consistent with the median projections shown in the chart below. These are forecasts rather than guarantees, and they can shift as economic data and policy guidance evolve.
Source: US Federal Reserve, Summart of Economic Projections
The “Magnificent Seven” technology companies are expected to invest a combined $385 billion into AI by the end of 2025.
Microsoft is positioning itself as the platform leader. Nvidia dominates the underlying AI infra. Google leads in research. Meta is building open-source tech. Amazon – AI agents. Apple — on-device integration. And Tesla pioneering autonomous vehicles and robots.
The “Big 4” tech companies' AI spending alone is forecast at $364 billion.
With such enormous sums pouring into AI, is this a winner-take-all game?
Or will each of the Mag Seven be able to thrive in the AI future?
Microsoft: The AI Everywhere Strategy
Microsoft has made one of the biggest bets on AI out of the Mag Seven — adopting the philosophy that AI should be everywhere.
Through its deep partnership with OpenAI, of which it is a 49% shareholder, the company has integrated GPT-5 across its entire ecosystem.
Key initiatives:
GPT-5 integration across consumer, enterprise, and developer tools through Microsoft 365 Copilot, GitHub Copilot, and Azure AI Foundry
Azure AI Foundry for unified AI development platform with model router technology
Copilot ecosystem spanning productivity, coding, and enterprise applications with real-time model selection
$100 billion projected AI infrastructure spending for 2025
Microsoft’s centrepiece is Copilot, which can now detect whether a prompt requires advanced reasoning and route to GPT-5's deeper reasoning model.
This (theoretically) means high-quality AI outputs become invisible infrastructure rather than a skill users need to learn.
However, this all-in bet on OpenAI does come with some risks. It is putting all its eggs in OpenAI's basket, tying its future success to a single partnership.
Elon Musk warned that "OpenAI is going to eat Microsoft alive"[/caption]
Google: The Research Strategy
Google’s approach is to fund research to build the most intelligent models possible. This research-first strategy creates a pipeline from scientific discovery to commercial products — what it hopes will give it an edge in the AI race.
Key initiatives:
Over 4 million developers building with Gemini 2.5 Pro and Flash
Ironwood TPU offering 3,600 times better performance compared to Google’s first TPU
AI search overviews reaching 2 billion monthly users across Google Search
DeepMind breakthroughs: AlphaEvolve for algorithm discovery, Aeneas for ancient text interpretation, AlphaQubit for quantum error detection, and AI co-scientist systems
Google’s AI research branch, DeepMind, brings together two of the world's leading AI research labs — Google Brain and DeepMind — the former having invented the Transformer architecture that underpins almost all modern large language models.
The bet is that breakthrough research in areas like quantum computing, protein folding, and mathematical reasoning will translate into a competitive advantage for Google.
Today, we're introducing AlphaEarth Foundations from @GoogleDeepMind , an AI model that functions like a virtual satellite which helps scientists make informed decisions on critical issues like food security, deforestation, and water resources. AlphaEarth Foundations provides a… pic.twitter.com/L1rk2Z5DKk
Meta has made a somewhat contrarian bet in its approach to AI: giving away their tech for free. The company's Llama 4 models, including recently released Scout and Maverick, are the first natively multi-modal open-weight models available.
Key initiatives:
Llama 4 Scout and Maverick - first open-weight natively multi-modal models
AI Studio that enables the creation of hundreds of thousands of AI characters
$65-72 billion projected AI infrastructure spending for 2025
This open-source strategy directly challenges the closed-source big players like GPT and Claude. By making AI models freely available, Meta is essentially commoditizing what competitors are trying to monetize. Meta's bet is that if AI models become commoditized, the real value will be in the infrastructure that sits on top. Meta's social platforms and massive user base give it a natural advantage if this eventuates.
Meta's recent quarter was also "the best example to date of AI having a tangible impact on revenue and earnings growth at scale," according to tech analyst Gene Munster.
H1 relative performance of the Magnificent Seven stocks. Source: KoyFin, Finimize
However, it hasn’t been all smooth sailing for Meta. Their most anticipated release, Llama Behemoth, has all but been scrapped due to performance issues. And Meta is now rumored to be developing a closed-source Behemoth alternative, despite their open-source mantra.
Amazon: The AI Agent Strategy
Amazon’s strategy is to build the infrastructure for AI that can take actions — booking meetings, processing orders, managing workflows, and integrating with enterprise systems.
Rather than building the best AI model, Amazon has focused its efforts on becoming the platform where all AI models live.
Key initiatives:
Amazon Bedrock offering 100+ foundation models from leading AI companies, including OpenAI models.
$100 million additional investment in AWS Generative AI Innovation Center for agentic AI development
Amazon Bedrock AgentCore enabling deployment and scaling of AI agents with enterprise-grade security
$118 billion projected AI infrastructure spending for 2025
The goal is to become the “orchestrator” that lets companies mix and match the best models for different tasks.
Amazon’s AgentCore will provide the underlying memory management, identity controls, and tool integration needed for these companies to deploy AI agents safely at scale.
This approach offers flexibility, but does carry some risks. Amazon is essentially positioning itself as the middleman for AI. If AI models become commoditized or if companies prefer direct relationships with AI providers, Amazon's systems could become redundant.
Nvidia: The Infra Strategy
Nvidia is the one selling the shovels for the AI gold rush. While others in the Mag Seven battle to build the best AI models and applications, Nvidia provides the fundamental computing infrastructure that makes all their efforts possible.
This hardware-first strategy means Nvidia wins regardless of which company ultimately dominates. As AI advances and models get larger, demand for Nvidia's chips only increases.
Key initiatives:
Blackwell architecture achieving $11 billion in Q2 2025 revenue, the fastest product ramp in company history
New chip roadmap: Blackwell Ultra (H2 2025), Vera Rubin (H2 2026), Rubin Ultra (H2 2027)
Data center revenue reaching $35.6 billion in Q2, representing 91% of total company sales
Manufacturing scale-up with 350 plants producing 1.5 million components for Blackwell chips
With an announced product roadmap of Blackwell Ultra (2025), Vera Rubin (2026), and Rubin Ultra (2027), Nvidia has created a system where the AI industry must continuously upgrade to Nvidia’s newest tech to stay competitive.
This also means that Nvidia, unlike the others in the Mag Seven, has almost no direct AI spending — it is the one selling, not buying.
However, Nvidia is not indestructible. The company recently halted its H20 chip production after the Chinese government effectively blocked the chip, which was intended as a workaround to U.S. export controls.
Apple: The On-Device Strategy
Apple's AI strategy is focused on privacy, integration, and user experience. Apple Intelligence, the AI system built into iOS, uses on-device processing and Private Cloud Compute to help ensure user data is protected when using AI.
Key initiatives:
Apple Intelligence with multi-model on-device processing and Private Cloud Compute
Enhanced Siri with natural language understanding and ChatGPT integration for complex queries
Direct developer access to on-device foundation models, enabling offline AI capabilities
$10-11 billion projected AI infrastructure spending for 2025
The drawback of this on-device approach is that it requires powerful hardware from the user's end. Apple Intelligence can only run on devices with a minimum of 8GB RAM, creating a powerful upgrade cycle for Apple but excluding many existing users.
Tesla: The Robo Strategy
Tesla's AI strategy focuses on two moonshot applications: Full Self-Driving vehicles and humanoid robots.
This is the 'AI in the physical world' play. While others in the Mag Seven are focused on the digital side of AI, Tesla is building machines that use AI for physical operations.
Tesla’s Optimus robot replicating human tasks
Key initiatives:
Plans for 5,000-10,000 Optimus robots in 2025, scaling to 50,000 in 2026
Robotaxi service targeting availability to half the U.S. population by EOY 2025
AI6 chip development with Samsung for unified training across vehicles, robots, and data centers
$5 billion projected AI infrastructure spending for 2025
This play is exponentially harder to develop than digital AI, and the markets have reflected low confidence that Tesla can pull it off.
TSLA has been the worst-performing Mag Seven stock of 2025, down 18.37% in H1 2025.
However, if Tesla’s strategy is successful, it could be far more valuable than other AI plays. Robots and autonomous vehicles could perform actual labour worth trillions of dollars annually.
The $385 billion Question
The Mag Seven are starting to see real revenue come in from their AI investments. But they're pouring that money (and more) back into AI, betting that the boom is just getting started.
The platform players like Microsoft and Amazon are betting on becoming essential infrastructure. Nvidia’s play is to sell the underlying hardware to everyone. Google and Meta compete on capability and access. While Apple and Tesla target specific use cases.
The $385 billion question is which of the Magnificent Seven has bet the right way? Or will a new player rise and usurp the long-standing tech giants altogether?
You can access all Magnificent Seven stocks and thousands of other Share CFDs on GO Markets.
Asia open: what matters after the Venezuela headlines
Asia starts the week with a fresh geopolitical shock that is already being framed in oil terms, not just security terms. The first-order move may be a repricing of risk premia and volatility across energy and macro, while markets wait to see whether this becomes a durable physical disruption or a fast-fading headline premium.
At a glance
What happened: US officials said the US carried out “Operation Absolute Resolve”, including strikes around Caracas, and that Venezuela’s President Nicolás Maduro and his wife were taken into US custody and flown to the United States (subject to ongoing verification against the cited reporting).
What markets may focus on now: Headline-driven risk premia and volatility, especially in products and heavy-crude-sensitive spreads, rather than a clean “missing barrels” shock.
What is not happening yet: Early pricing has so far looked more like a headline risk premium than a confirmed physical supply shock, though this can change quickly, with analysts pointing to ample global supply as a possible cap on sustained upside.
Next 24 to 72 hours: Market participants are likely to focus on the shape of the oil “quarantine”, the UN track, and whether this stays “one and done” or becomes open-ended.
Australia and Asia hook: AUD as a risk barometer, Asia refinery margins in diesel and heavy, and shipping and insurance where the price can show up in friction before it shows up in benchmarks.
What happened, facts fast
Before anyone had time to workshop the talking points, there were strikes, there was a raid, and there was a custody transfer. US officials say the operation culminated in Maduro and his wife being flown to the United States, where court proceedings are expected.
Then came the line that turned a foreign policy story into a markets story. President Trump publicly suggested the US would “run” Venezuela for now, explicitly tying the mission to oil.
Almost immediately after that came a message-discipline correction. Secretary of State Marco Rubio said the US would not govern Venezuela day to day, but would press for changes through an oil “quarantine” or blockade.
That tension, between maximalist presidential rhetoric and a more bureaucratically describable “quarantine”, is where the uncertainty lives. Uncertainty is what gets priced first.
Source: Adobe images
Why this is price relevant now
What’s new versus known for positioning
What’s new, and price relevant, is that the scale and outcome are not incremental. A major military operation, a claimed removal of Venezuela’s leadership from the country, and a US-led custody transfer are not the sort of things markets can safely treat as noise.
Second, the oil framing is explicit. Even if you assume the language gets sanded down later, the stated lever is petroleum. Flows, enforcement, and pressure via exports.
Third, the embargo is not just a talking point anymore. Reporting says PDVSA has begun asking some joint ventures to cut output because exports have been halted and storage is tightening, with heavy-crude and diluent constraints featuring prominently.
What’s still unknown, and where volatility comes from
Key unknowns include how strict enforcement is on water, what exemptions look like in practice, how stable the on-the-ground situation is, and which countries recognise what comes next. Those are not philosophical questions. Those are the inputs for whether this is a temporary risk premium or a durable regime shift.
Political and legal reaction, why this drives tail risk
The fastest way to understand the tail here is to watch who calls this illegal, and who calls it effective, then ask what those camps can actually do.
Internationally, reaction has been fast, with emphasis on international law and the UN Charter from key partners, and UN processes in view. In the US, lawmakers and commentators have begun debating the legal basis, including questions of authority and war powers. That matters for markets because it helps define whether this is a finite operation with an aftershock, or the opening chapter of a rolling policy regime that keeps generating headlines.
Market mechanism, the core “so what”
Here’s the key thing about oil shocks. Sometimes the headline is the shock. Sometimes the plumbing is the shock.
Venezuela’s heavy-crude system: Orinoco production, key pipelines, and export/refining bottlenecks
Volumes and cushion
Venezuela is not the world’s swing producer. Its production is meaningful at the margin, but not enough by itself to imply “the world runs out of oil tomorrow”. The risk is not just volume. It is duration, disruption, and friction.
The market’s mental brake is spare capacity and the broader supply backdrop. Reporting over the weekend pointed to ample global supply as a likely cap on sustained gains, even as prices respond to risk.
Quality and transmission
Venezuela’s barrels are disproportionately extra heavy, and extra heavy crude is not just “oil”. It is oil that often needs diluent or condensate to move and process. That is exactly the kind of constraint that shows up as grade-specific tightness and product effects.
Reporting has highlighted diluent constraints and storage pressure as exports stall. Translation: even if Brent stays relatively civil, watch cracks, diesel and distillates, and any signals that “heavy substitution” is getting expensive.
Heavy-light spread as a stress gauge: rising differentials can signal costly substitution and tighter heavy supply.
Products transmission, volatility first, pump later
If crude is the headline, products are the receipt, because products tell you what refiners can actually do with the crude they can actually get. The short-run pattern is usually: futures reprice risk fast, implied volatility pops; physical flows adapt more slowly; retail follows with a lag, and often with less drama than the first weekend of commentary promised.
For Australia and Asia desks, the bigger point is transmission. Energy moves can influence inflation expectations, which can feed into rates pricing and the dollar, and in turn affect Asia FX and broader risk, though the links are not mechanical and can vary by regime.
Some market participants also monitor refined-product benchmarks, including gasoline contracts such as reformulated gasoline blendstock, as part of that chain rather than as a stand-alone signal.
Historical context, the two patterns that matter
Two patterns matter more than any single episode.
Pattern A: scare premium. Big headline, limited lasting outage. A spike, then a fade as the market decides the plumbing still works.
Pattern B: structural. Real barrels are lost or restrictions lock in; the forward curve reprices; the premium migrates from front-month drama to whole-curve reality.
One commonly observed pattern is that when it is only premium, volatility tends to spike more than price. When it is structural, levels and time spreads move more durably.
The three possible market reactions
Contained, rhetorical: quarantine exists but porous; diplomacy churns; no second-wave actions. Premium bleeds out; volatility mean-reverts.
Escalation, prolonged control risk: “not governing” language loses credibility; repeated operations; allies fracture further. Longer-duration premium; broader risk-off impulse across FX and rates.
Australia and Asia angle
For Sydney, Singapore, and Hong Kong screens, this is less about Venezuelan retail politics and more about how a Western Hemisphere intervention bleeds into Asia pricing.
AUD is the quick and dirty risk proxy. Asia refiners care about the kind of oil and the friction cost. Heavy crude plus diluent dependency makes substitution non-trivial. If enforcement looks aggressive, the “price” can show up in freight, insurance, and spreads before it shows up in headline Brent.
Catalyst calendar, key developments markets may monitor
US policy detail: quarantine rules, enforcement posture, exemptions.
UN and allies: statements that signal whether this becomes a long legitimacy fight.
In 2025, the S&P 500 traded around 6,835 and was up approximately 16% year to date (YTD). Market direction remained most sensitive to Federal Reserve expectations, inflation data and the earnings outlook, with returns also shaped by mega-cap tech leadership and the broader AI narrative. The index pulled back from earlier December highs, but it has so far held above key major moving averages (MA).
Key 2025 drivers included:
Fed expectations and inflation: Inflation cooled through the year but remained sticky around 2.5% to 3%. A Fed easing bias likely supported price to earnings (P/E) multiples and “risk-on” positioning. More recently, markets appeared increasingly rate-sensitive, with the decreased likelihood of an additional rate cut until March 2026.
Earnings and guidance: Corporate earnings remained strong quarter on quarter. Recent Q3 results reportedly saw over 80% of the S&P 500 beat earnings per share (EPS) expectations. For Q4, the estimated year-over-year earnings growth rate is 8.1%, despite ongoing concerns around import tariffs and potential margin pressure.
Index leadership and breadth: Returns were heavily influenced by mega-cap tech and AI beneficiaries, even as broader market breadth appeared less consistent at points through the year.
Policy headlines and volatility: Trade and tariff headlines drove sharp moves, particularly earlier in the year. Some investors pointed to the “TACO” trade, with rapid recoveries after policy proposals were softened. Over time, similar shocks appeared to have less impact as the market became somewhat desensitised.
Valuations and sensitivity: The forward 12-month P/E ratio for the S&P 500 is 22, above the 5-year average (20.0) and above the 10-year average (18.7). That gap kept valuation sensitivity, especially in AI-linked names, firmly in focus.
Current state
The S&P 500 is about 1% below record highs hit earlier in December. That could indicate the broader uptrend remains in place, with a move back toward the recent highs one possible scenario if momentum improves. Despite the recent retracement, the index remains above all key major moving averages (MA). The latest bounce followed lower than expected CPI numbers earlier this week, alongside continued, and to some, surprising optimism about what may come next.
What to watch in January
Q4 earnings from mid-January: Results and guidance may help clarify whether valuations are being supported by forward expectations.
AI narrative and positioning: With AI-linked mega-caps carrying a large share of market capitalisation, changes in sentiment or expectations could have an outsized impact on index performance.
US jobs and CPI data: The latest US jobs report reportedly points to the highest headline unemployment rate since 2021. Cooling inflation this week may keep markets alert to shifts in rate cut timing, particularly around the March decision.
S&P 500 daily chart
Source: TradingView
Major FX pairs
Source: Adobe Images
AUD/USD
AUDUSD has been choppy in 2025. Since the “redemption day” drop in April, the move has looked more like a steady grind higher than a clean upside trend.
Key levels Recent peaks in early September and mid-December highlight resistance near 0.6625. Support has been evident around 0.6425, where price bounced over the last month.
What is supporting the bounce That support test coincided with stronger than expected jobs and inflation data, lifting expectations that the Reserve Bank of Australia (RBA) may raise rates during 2026 rather than cut again. The latest pullback looks contained so far, with buying interest already visible and price still above key longer-term moving averages.
What could drive a breakout The pair remains range-bound, but the tilt is still constructive. If Chinese data stays firm, metals prices hold up, and the central bank outlook remains relatively hawkish, a break above resistance could gain more traction.
AUD/USD daily chart
EUR/USD
After early 2025 euro strength, EURUSD has mostly consolidated since June in a roughly 270 pip range. This month tested 1.18 resistance, reaching highs not seen since September.
What price is doing now The recent pullback still lacks strong downside conviction. Some technical analysts refer to the 1.17 area as a near-term reference level.
What could come next If price holds 1.17 and buyers step back in, another push toward 1.18 is possible. One view is that the European Central Bank (ECB) could be less inclined to ease in 2026, which could be consistent with a firmer EURUSD scenario. Broader analyst commentary also suggests the euro may stall rather than collapse against the US dollar, although outcomes remain data and policy dependent.
EUR/USD daily chart
USD/JPY
Year-to-date picture USDJPY is close to flat overall for the year. After US dollar weakness in Q1, the pair reversed higher and now sits just below resistance near 158.
Rates remain the main driver Rate differentials still favour the US dollar. The Bank of Japan (BOJ) held steady for much of the period despite expectations it might act, and the recent rate increase was modest. Policy has only moved marginally away from zero.
What could shift the balance Rate differentials remain a key influence. Without a clearer shift in BOJ policy, the JPY may find it difficult to sustain a rebound. Some market commentators cite 154.20 as a chart reference level.
In 2025, the ASX 200 closed around 8,621 points and was up approximately 6% year to date (YTD) as of 19 December close. Market direction was most sensitive to Reserve Bank of Australia (RBA) expectations, commodity prices and China-linked demand, and (to a lesser extent) moves in the Australian dollar (AUD). The index recovered from November’s pullback, but remained below October’s record close.
Key 2025 drivers included:
RBA policy expectations: Sentiment was shaped by shifting views on the timing and extent of rate moves. The November pullback reflected repricing towards a longer pause and higher uncertainty around whether the next move could be a hike rather than a cut, particularly as jobs and inflation data surprised.
Resources and China sensitivity: With a meaningful resources weight, the index responded to iron ore stability, strong gold prices and relative firmness in base metals. China data and any perceived policy support (including signals from the People’s Bank of China (PBOC)) remained important for the export backdrop. A relatively stable AUD also reduced currency-related noise for exporters.
Index composition and market structure: The ASX 200’s heavier tilt to materials and banks, and lower exposure to high-growth technology, meant it often lagged tech-led global rallies, but tended to hold up better when AI and growth valuations were questioned.
Corporate earnings: Reporting season outcomes influenced valuation support. In September’s half-year reporting season, around 33% of ASX 200 companies beat expectations, which helped underpin pricing around current levels.
Current state
The ASX 200 was roughly 5% below its late-October record high close of 9,094 points. After the November retracement, support around 8,400 appeared to hold and buying interest improved. The 50-day EMA near 8,730 (a prior consolidation area) was a commonly watched near-term reference, noting technical indicators can be unreliable.
What to watch in January
China and commodity demand: Growth, trade and any fresh stimulus inference from the PBOC may affect sentiment.
Domestic inflation and labour data: CPI and jobs prints are key inputs into RBA expectations.
Key levels and follow-through: The post-November rebound may need continued demand to sustain momentum.
Source: Trading View
What moved the Nikkei 225 in 2025?
In 2025, the Nikkei 225 traded around 39,200 points and was up approximately 21% year to date (YTD). Market direction was most sensitive to moves in the Japanese yen (JPY) and Bank of Japan (BOJ) communication, with the index consolidating after multi-decade highs. While broader signals remained constructive, consolidation can resolve either higher or lower.
Key influences included:
JPY movements and earnings translation: A weaker JPY can boost the reported value of overseas earnings for some exporters, although it may also increase input and import costs. The net impact often depends on company hedging practices and varies by sector, with effects most evident in export-heavy industries such as automotive, industrials and parts of technology manufacturing.
Gradual BOJ policy transition: The BOJ continued to step away from ultra-easy settings, but tightening was generally cautious. Markets largely priced a slow, conditional normalisation, which helped limit downside, even as policy headlines created bouts of volatility.
Corporate governance reforms: Ongoing improvements in capital efficiency and shareholder returns supported interest from overseas investors. Share buybacks, stronger balance-sheet discipline and improved return on equity (ROE) contributed to re-rating in parts of the market.
Global cyclical exposure: The Nikkei moved with shifts in global manufacturing sentiment and expectations for US growth, particularly during risk-on phases associated with AI-related capital spending.
Current state
After pushing to multi-decade highs earlier in the year, the Nikkei spent time consolidating but has remained structurally strong. Price sits above key long-term moving averages, and some technicians watch the 50-day exponential moving average (EMA) as a potential reference level (noting these indicators can be unreliable). Currency swings and shifting BOJ expectations were commonly cited as contributors to much of the second-half volatility, although pullbacks were generally met with buying interest.
What to watch in January for Japan
JPY volatility: Sharper yen moves, especially if driven by BOJ or Federal Reserve expectations, could quickly change exporter earnings assumptions.
BOJ communication: Small changes in language on inflation persistence or bond market operations may move sentiment.
Global growth data: US and China manufacturing and trade prints remain key inputs for an externally focused economy.
