Apple is the first company on this planet to reach a $1 Trillion Market value, each year continuing to release brand new innovative products including the latest iPhone to hit shelves. There is no doubt that Apple is the technology king of this generation given its following, constant growth, and company profits. However, can it maintain its innovation and high market value over the next ten years? ---------------------------------------------------------------------------------------------------------------------- We all know that every technology product has a life cycle.
Think about this: 30 years ago your family might get very excited when purchasing a new television, but are you still as enthusiastic if you buy a new TV today? No, because on the one hand, the technology is a lot cheaper and commonplace, and on the other, the notion of refining this product has arguably reached its ceiling. After Television, PCs and digital cameras also can’t escape from the same fate.
Once sold at high prices with premium product positioning, I still remember my first PC which cost around USD 2000, and even this was considered low in the 1990‘s. How about now? PC sales in 2017 have dropped to 263m, which is even less than the sales of iPhone 1 in 2007. ---------------------------------------------------------------------------------------------------------------------- You may not have noticed, but coinciding with Apple reaching a $1 Trillion, value, the two major suppliers for iPhone components——Sunny Optical Ltd (Listed in Hong Kong) & LARGAN Precision Ltd (listed in Taiwan) are both experiencing price shocks in the stock market.
Let me first briefly introduce this two companies. LARGAN Precision is a camera producer and provides five lenses for each iPhone. Its stock price has increased 1692% in the last decade.
Sunny Optical became camera lens model supplier for iPhone since 2007. After ten years, its stock price increased insanely 13068%! These miraculous returns are all based on the developing phase of smartphones.
However, the Smart Phone concept appears to be transitioning to its Mature Phase, and eventually, declining Phase. In the 4th Quarter of 2017, the total sales of the Smart Phone market have dropped for the first time. You'll notice from the chart that every smartphone company value fell, not just Apple and Samsung.
Regarding technology, Apple had already left the “Iron Throne” years ago. In the smartphone chips producing area, only two companies (LARGAN & Samsung) has achieved current Human Limit ——7nm (the thinner the chip, the harder for human technology to achieve) Only one company (Samsung) is willing to put money into R&D and pursue the impossible——3nm. Why has everyone else already given up? (which also means that the iPhone in the next few years will likely see little to no significant improvement, except the size, colour, and Price) The smartphone product is not far away from its tech limit.
It's perhaps not worthwhile to invest loads of money into R&D anymore. Alternatively, it might be better off to move their R&D forces to the next generational products, for example, GPU, VR, Drone, Artificial intelligence, or something even beyond our imagination at the moment. It is still too early to say whether Apple can keep its leading position in next 10 years, let’s wait and see.
By Lanson Chen – Analyst Lanson Chen @LansonChen 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. Trading Forex and Derivatives carries a high level of risk.
Sources: Statista, Apple, Google
By
Adam Taylor
CFTe. Director, Go Markets London.
The information provided is of general nature only and does not take into account your personal objectives, financial situations or needs. Before acting on any information provided, you should consider whether the information is suitable for you and your personal circumstances and if necessary, seek appropriate professional advice. All opinions, conclusions, forecasts or recommendations are reasonably held at the time of compilation but are subject to change without notice. Past performance is not an indication of future performance. Go Markets Pty Ltd, ABN 85 081 864 039, AFSL 254963 is a CFD issuer, and trading carries significant risks and is not suitable for everyone. You do not own or have any interest in the rights to the underlying assets. You should consider the appropriateness by reviewing our TMD, FSG, PDS and other CFD legal documents to ensure you understand the risks before you invest in CFDs. These documents are available here.
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.
Quick facts
TSMC delivered $90 billion in revenue in 2024, with a 59% gross margin and shares up 55% in 2025.
Advantest shares doubled (+102%) in 2025 as AI-driven chip testing demand surged.
SK Hynix is Nvidia's primary HBM supplier, positioning it at the centre of the AI accelerator boom.
1. Taiwan Semiconductor Manufacturing Co. (TSM)
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.
What to watch
US expansion progress: Any delays, cost blowouts, or political friction concerning TSMC's $100 billion Arizona investment could weigh on sentiment.
Customer order visibility: Watch for any guidance updates from Apple, Nvidia, or AMD on chip orders, as TSMC's revenue is highly concentrated among a handful of clients.
Geopolitical developments: Any escalation of Taiwan Strait tensions could trigger sharp moves regardless of fundamentals.
Next-node ramp: Progress on 2nm production and yield rates will be a key signal for TSMC's ability to maintain its technology lead.
2. Samsung Electronics (KR:005930)
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.
What to watch
HBM qualification progress: Samsung has been working to qualify its HBM3E chips with Nvidia. Any confirmation of a major supply win could be a meaningful catalyst.
Memory pricing trends: DRAM and NAND spot prices could be an indicator of Samsung's margin trajectory.
Foundry yield improvements: Samsung's logic foundry business has struggled with yields at advanced nodes; any credible progress here could re-rate the division.
Management guidance: Following a period of earnings volatility, clarity on capex plans and divisional targets at upcoming results will be closely watched.
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.
What to watch
Order backlog updates: Any contraction in Advantest's backlog could be an early warning sign after the strong 2025 run.
AI chip testing demand: As chips grow more complex, testing time per chip increases. Monitor whether AI accelerator volumes from TSMC and Samsung start to drive outsized testing demand.
FY2026 guidance: The next forecast update will be critical in confirming whether 2025's upgrade cycle has further to run.
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.
What to watch
US export control policy: China accounts for a significant portion of TEL's revenue. Any tightening of equipment export rules is the most immediate risk to watch.
Chipmaker capex announcements: TSMC, Samsung, and SK Hynix's capital expenditure plans for 2026 directly translate into equipment orders. Any cuts could flow through to TEL's order book.
New tool adoption cycles: Monitor whether TEL's next-generation deposition and etch tools are being adopted at leading-edge fabs.
5. SK Hynix (KR:000660)
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.
What to watch
Nvidia supply relationship: Any shift in Nvidia's supplier mix toward Samsung or Micron could be a key risk event.
HBM4 development: The race to next-generation HBM is already underway. Watch for updates on SK Hynix's HBM4 readiness and whether it can maintain its lead.
Conventional memory pricing: SK Hynix still derives meaningful revenue from standard DRAM and NAND. Spot price trends could be a gauge of the broader memory cycle.
Bottom line
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.
While all eyes are on the US AI narrative dominated by Nvidia, Microsoft, and Google, Asia has quietly been moving on AI and is home to some of the world’s most aggressive AI bets.
Quick facts
SoftBank has committed $41 billion to OpenAI, securing approximately an 11% ownership stake.
Alibaba plans to invest more than $50 billion in AI infrastructure over the coming years.
Baidu's Core AI-powered business revenue grew 48% year over year in Q4, with ~70% of search results now AI-generated.
1. SoftBank Group (TYO: 9984)
SoftBank is the most AI-committed company in Asia by capital deployed and ambition. CEO Masayoshi Son has declared the company in "total offence mode," having completed a $41 billion investment into OpenAI for approximately an 11% ownership stake.
Son has also launched a $100 billion initiative aimed at building a vertically integrated AI semiconductor champion (Project Izanagi), repositioning SoftBank as an "AI-era industrial holding company."
SoftBank's fortunes are now deeply tied to the success of OpenAI and Son's ability to execute his semiconductor plan that puts it in direct competition with established players.
What to monitor
OpenAI's trajectory: Any shift in OpenAI's competitive position, valuation, or path to profitability has direct implications for SoftBank's balance sheet.
Project Izanagi progress: Watch for partner announcements, funding milestones, and whether Son can attract the engineering and manufacturing talent needed.
Arm Holdings performance: SoftBank also has a listed stake in Arm. Arm's data centre and AI chip licensing momentum is worth tracking.
Debt levels and Vision Fund exposure: SoftBank carries significant leverage. Rising interest rates or a correction in AI valuations could pressure the group's net asset value.
2. Alibaba Group (BABA)
Alibaba has committed more than US$50 billion to AI infrastructure, making it one of the largest AI capex programmes in the world.
Its Qwen family of large language models underpins a rebuilt AI-focused cloud platform, and the company has partnered with Nvidia on physical AI projects.
Alibaba Cloud is also the leading cloud provider in China. The key commercial question is whether Alibaba's can convert this cloud leadership into durable revenue growth.
However, it will have to navigate ongoing regulatory scrutiny in China and competition from local rivals like Huawei and ByteDance.
What to monitor
Cloud AI revenue growth: The clearest signal of whether the $50 billion investment is translating into commercial traction.
Qwen model adoption: Enterprise and developer uptake of the Qwen model family could be an indicator of Alibaba's AI platform stickiness.
Regulatory environment: Beijing's approach to large tech platforms and any renewed regulatory action could disrupt execution and sentiment.
US-China tech tensions: Nvidia partnership activity and access to advanced AI chips could be affected by further export controls.
3. Baidu (BIDU)
Baidu has made the most visible AI transformation of any company on this list. It has released a 2.4 trillion parameter omni-modal model (ERNIE 5.0) with approximately 70% of its search results now delivered as AI-generated rich media.
Beyond search, its Apollo Go robotaxi service is now partnering with Uber to expand into Dubai and the UK.
Its Core AI-powered business generated RMB 11.3 billion in Q4 revenue, up 48% YoY. The question now is whether that momentum is sustainable and whether the robotaxi business can scale economically.
What to monitor
ERNIE monetisation: Watch for updates on enterprise API revenue and advertising yield improvements driven by AI-generated search.
Apollo Go expansion: Rider volume growth and cost per ride will indicate whether unit economics are improving.
Search market share: Competition from ByteDance and emerging AI-native search alternatives in China is a potential structural risk.
4. Tencent Holdings (HK: 0700)
Tencent's AI play is to allocate its GPU capacity to itself. This allows it to convert AI directly into efficiency gains across its ecosystem.
With WeChat's 1.4 billion users providing an unmatched data engine, Tencent is embedding AI across gaming, payments, cloud, and search in a way that is difficult to replicate.
This approach also offers greater resilience against AI chip export restrictions, since the compute stays internal.
The AI upside here is arguably underappreciated because it is embedded rather than a separate segment, which could also mean the market may find it harder to isolate and value that contribution.
What to monitor
Advertising revenue trends: The most measurable near-term AI benefit is from ad targeting improvements translating into sustained advertising revenue growth.
WeChat ecosystem AI integration: Watch for new AI-native features within WeChat, including search, mini-programs, and payments, as signals of platform deepening.
Regulatory and geopolitical risk: Tencent operates under ongoing scrutiny from Chinese regulators and faces restrictions in some Western markets.
5. Kakao (KRX: 035720)
Kakao is South Korea's dominant AI and internet platform, operating KakaoTalk, which is used by approximately 95% of South Koreans.
It is one of the most aggressively AI-focused non-Chinese tech companies in Asia, investing heavily in LLM development and AI-native services.
The domestic dominance of KakaoTalk provides a captive distribution platform for AI products in a way few companies outside China can match. The key question is whether Kakao can monetise that distribution advantage before global competitors close the gap.
What to monitor
KakaoAI product rollouts: New AI-native features within KakaoTalk and Kakao's broader service suite are the most direct signal of commercial AI progress.
Cloud division growth: Kakao's cloud business is the infrastructure layer for its AI ambitions. Revenue growth and enterprise customer additions are key metrics.
LLM competitive positioning: Monitor how Kakao's models benchmark against global and regional peers, and whether Korean enterprise customers are adopting them at scale.
Corporate governance: Kakao has faced governance-related scrutiny in recent years; any developments here could affect sentiment independently of AI progress.
Bottom line
Asia's AI landscape is far more complicated than a simple "follow the AI spend" narrative suggests.
China's top companies are innovating rapidly but operate under regulatory and geopolitical constraints. Japan's SoftBank is making the biggest single bet, but at a level of concentration risk that demands scrutiny. And South Korea's Kakao offers a differentiated, lower-geopolitical-risk angle.
The AI push in Asia is real. But the range of outcomes across these five names is wide, making it pivotal to understand each company's specific exposure and risk profile, not just its AI narrative.
After three consecutive years in which mega-cap AI-linked names carried the Nasdaq, the mix of winners may be starting to change.
2026 is the "show me the money" year. Any hint of doubt about whether tech companies were correct to spend nearly US$700 billion on AI last year could have a major impact on market sentiment.
Quick facts
Global AI capex is projected to exceed US$600 billion in 2026.
The total addressable market (TAM) for AI data centre systems is estimated to exceed US$1.2 trillion by 2030.
Nvidia, Microsoft and TSMC are all trading below analyst fair value estimates, despite surging revenues.
Broadcom's AI chip division is targeting US$100 billion in AI revenue by 2027.
What is powering the AI trade?
Multiple macro forces are likely to underpin the AI investment theme through 2026. The direction of US interest rates, the scale of AI infrastructure spending and the geopolitical backdrop are all likely to matter.
Rates and valuations
The Federal Reserve delivered 75 basis points (bps) of rate cuts in 2025, and markets expect another 50 bps in 2026. Lower rates can reduce the discount applied to future tech earnings and typically support growth stocks, including AI-linked names.
Infrastructure spending and earnings expectations
On the spending side, Nvidia CEO Jensen Huang has said data centre operators could spend up to US$4 trillion annually by 2030, and AI capital spending is projected to reach US$571 billion in 2026 alone.
However, markets appear to have already priced in much of this optimism. Analysts are projecting 14% to 16% annual earnings per share (EPS) growth in 2026. That would require S&P 500 stocks outside the Magnificent 7 to roughly double the pace of earnings growth recorded in 2025.
Geopolitics and export controls
Geopolitics could also shape the outlook. US-China export controls on AI chips, along with reduced access to key international buyers, could weigh on data centre growth projections.
Nvidia remains the clearest expression of the AI trade. It holds a wide economic moat thanks to its market leadership in GPUs, hardware, software, and networking tools.
Goldman Sachs and Morgan Stanley both carry price targets near $250 on NVDA, with Goldman's call based on a 2027 revenue forecast of over $380 billion. Bank of America sits in the $275 camp, effectively pricing in more AI upside on 2027 earnings.
At 21.6 times forward earnings, Nvidia is now trading below the broader S&P 500's multiple. Key risks include the overhang from US–China export restrictions and any softening in data centre capex guidance from major cloud providers.
Microsoft (MSFT)
Microsoft is down around 25% from its all-time high. During the second quarter of fiscal year 2026, Azure's revenue increased 39% year over year, and the company holds a US$625 billion backlog of contracted usage still to come.
The gap between the stock's recent performance and its underlying revenue growth has drawn attention from analysts, though elevated valuations across the broader tech sector remain a risk to watch.
While Nvidia makes broad-purpose GPUs, Broadcom is winning business by going bespoke, designing custom AI chips tailored specifically to the needs of individual hyperscalers like Google and Meta.
During Q1 of FY2026, Broadcom's AI semiconductor division grew at a 106% pace to US$8.4 billion, and by the end of 2027 it expects its AI chip revenue to reach more than US$100 billion.
Broadcom trades at a significant premium to the broader market, which could amplify any downside if growth expectations are not met.
TSMC (TSM)
Almost every major AI chip is manufactured by TSMC. The company holds approximately 70% market share in chip foundry, making it the single most critical piece of infrastructure in the entire AI supply chain.
TSMC sales are projected to increase by 30% in 2026, with gross margins expected to remain above 60% as new fabrication capacity comes online.
The primary risk is geopolitical: any escalation in Taiwan Strait tensions could weigh heavily on the stock regardless of its underlying fundamentals.
Vertiv (VRT)
Less prominent than the semiconductor giants, Vertiv provides the power management, cooling, and data centre infrastructure that keeps AI hardware running.
Nvidia, Broadcom, and Vertiv sit at different points in the AI build-out, including compute, custom silicon, networking and physical infrastructure.
Vertiv's revenue is tied to overall AI capex rather than any single chip maker, which gives it a different risk profile to the names above.
Corning (GLW)
Corning's stock rose 84% in 2025 thanks to surging demand from data centres for its fibre optic cables. Its optical communications segment has grown 69% YoY.
At a Price-to-Earnings (P/E) ratio of roughly 37x, Corning trades at a discount to Nvidia and Broadcom while still carrying direct exposure to AI infrastructure spending. However, its valuation depends heavily on continued capex from the major hyperscalers.
Training large-scale AI models is extraordinarily energy-intensive. A typical 1 gigawatt AI data centre facility requires upwards of US$60 billion in capital expenditure, with roughly half going directly to hardware.Utilities exposed to data centre power demand could also be affected by the AI build-out.
International spillover
South Korea's Kospi surged 76% in 2025 due to AI-linked chipmakers like SK Hynix. Japan's Topix, Germany's DAX, and the UK's FTSE 100 also saw gains of more than 20%. Memory supplier Kioxia was the world's best-performing stock, surging 540%.
Data centre infrastructure
Companies like Emcor, which provides critical electrical, HVAC, and power infrastructure to data centres, reported its contracted backlog surged 31.2% year over year to a record US$13.25 billion.These companies can offer different exposure to the AI capex cycle, but they carry their own execution, backlog, margin and valuation risks.
Broadcom trades at about 50x earnings and AMD at 56x. Any disappointment in forward guidance could trigger a sharp contraction in multiples.
The return on investment test
Companies are investing today on the assumption that highly profitable business applications of AI will emerge over time. If the timing or scale of those returns disappoints, the AI trade could face pullbacks.
Index concentration
The 10 largest stocks in the S&P 500 account for about 40% of the index's total value. A rotation out of mega-cap tech could disproportionately affect broad indices.
Efficiency disruption
China's DeepSeek recently published research suggesting large language models may be developed more efficiently than previously assumed. If AI can be built with less compute, demand for GPUs and data centre hardware could fall short of current forecasts.
Bottom line for traders
The AI trade is maturing but far from over. 2026 is shaping up to be a more nuanced chapter, spreading across the full AI value chain.
The US earnings season will be closely watched for evidence that the hundreds of billions being poured into AI infrastructure are beginning to generate the anticipated returns.
All data points referenced in this article were verified against primary sources on 18 March 2026.
With the Iran conflict reshaping energy markets, central banks turning hawkish, and gold in freefall despite the chaos, the safe haven playbook in 2026 is more complicated than ever.
Quick facts
Gold has fallen more than 20% from its all-time high, despite an active war in the Middle East
The Singapore dollar is near its strongest level against the USD since October 2014
The Reserve Bank of Australia (RBA) hiked rates to 4.10% in March 2026 as Iran-driven oil prices push Australian inflation higher
1. Gold (XAU/USD)
Gold remains the most widely traded safe haven globally. It benefits from geopolitical stress, US dollar weakness, and negative real interest rate environments. However, its short-term behaviour in 2026 demands explanation.
Despite an active war in the Middle East, gold has sold off sharply. The likely cause is the Fed trimming its 2026 rate cut projections, citing hotter-than-expected producer inflation and Strait of Hormuz-driven oil prices creating inflation persistence.
Ultimately, gold's bull case rests on falling real yields and a weaker dollar, and right now neither condition is in place. Traders should be aware that during an inflationary supply shock like the one the Iran conflict has delivered, gold does not always behave as expected.
However, if you zoom out, the longer-term picture reinforces gold’s safe-haven status, ending 2025 as one of its strongest years on record.
Key variables to watch: US Federal Reserve guidance, real yields, and USD direction.
2. Japanese Yen (JPY)
The yen has long functioned as a safe-haven currency thanks to Japan's status as the world's largest net creditor nation. In times of stress, Japanese investors tend to repatriate capital, driving the yen higher.
However, that dynamic seems to have shifted in 2026 so far. The yen is down 6.63% YoY, near its weakest level since July 2024, and surging oil import costs are weighing on the currency.
The yen's safe-haven role has not disappeared, though. It tends to reassert itself during sharp equity selloffs and liquidity events. But in an oil-driven inflation shock, it faces structural headwinds.
Key variables to watch: BOJ rate decisions, US-Japan yield differentials, and any intervention signals from Japanese authorities.
3. Swiss Franc (CHF)
Switzerland's political neutrality, account surplus, and strong institutional framework make the franc a reflexive safe-haven currency. Unlike the yen, the CHF is holding up in the current environment, with the franc gaining against the dollar in 2026, and EUR/CHF remaining stable.
For traders across Europe and the Middle East, CHF is often the first port of call during stress events.
Key variables to watch: Swiss National Bank intervention language, European geopolitical developments, and global risk indices.
4. US Treasury Bonds (US10Y)
Under normal conditions, US government bonds are some of the deepest, most liquid safe-haven instruments in the world. But 2026 is not normal conditions…
Yields have been rising, not falling, meaning bond prices are moving in the wrong direction for anyone seeking safety.
When yields rise during a risk-off event, it signals the market is treating bonds as an inflation risk rather than a safety asset.
However, short-duration Treasuries like bills and 2-year notes are a different story. They may offer higher income with less duration risk than longer-dated bonds, which is why some investors use them more defensively in volatile periods.
Key variables to watch: Fed communication, CPI and PCE data, and whether the 10Y yield breaks above 4.50% or pulls back below 4.00%.
5. Australian Dollar vs. US Dollar (AUD/USD): inverse play
The Australian dollar is widely considered a risk-on currency, tied closely to global commodity demand and Chinese growth.
In risk-off environments, AUD/USD typically falls. A falling AUD/USD can serve as a leading indicator of broader global stress, which can be useful context for traders with regional exposure.
The RBA hiking cycle (two hikes since the start of 2026) is providing some floor under the AUD, but in a sustained global risk-off move, that support has limits.
Key variables to watch: RBA forward guidance, Chinese PMI data, iron ore prices, and oil's impact on Australian inflation expectations.
6. US Dollar Index (DXY)
The US dollar acts as the world's reserve currency and a reflexive safe haven during acute stress. When liquidity dries up, global demand for USD tends to spike regardless of the underlying trend.
Over the past 12 months, the dollar has lost ground as global confidence in US fiscal trajectory has wavered. But over the past month, it has firmed, supported by a hawkish Fed and elevated geopolitical risk.
In risk-off environments, the USD continues to attract safe-haven flows. However, rising oil prices can increase inflation risks, complicating Federal Reserve policy expectations.
Key variables to watch: Fed rate path, US inflation data, and global liquidity conditions.
7. Singapore Dollar (SGD)
Less discussed globally but highly relevant across Southeast Asia, the SGD is one of the most quietly resilient currencies in the current environment.
The Singapore dollar has advanced to near its highest level since October 2014, supported by safe haven flows and investors drawn to Singapore's AAA-rated bonds, a dividend-heavy stock market, and predictable government policies.
The MAS manages the SGD through a nominal effective exchange rate band rather than an interest rate, giving it a different character from other safe-haven currencies.
For traders with exposure to Indonesia, Malaysia, Thailand, Vietnam, and the broader ASEAN region, USD/SGD can act as a practical benchmark for regional risk appetite.
Key variables to watch: MAS policy band adjustments, regional trade flows, and USD/Asia dynamics more broadly.
8. Cash and Short-Duration Fixed Income
Sometimes, the most effective safe haven can be to simply reduce exposure. With central bank rates still elevated across major economies, cash and short-duration government bonds can offer a meaningful yield while sitting outside market risk.
The RBA raised the cash rate to 4.10% at its March meeting. The Bank of England held at 3.75%, while the ECB kept its deposit facility rate at 2.00% and main refinancing rate at 2.15%.Across all major economies, short-duration government paper is offering a real return for the first time in years.
In a volatile environment, capital preservation can sometimes matter more than return maximisation.
Key variables to watch: Central bank meeting calendars across all major economies, and any shifts in forward guidance on the rate path.
What to Watch Next
Fed inflation data. Core PCE is the single most important data point for gold, bonds, and the dollar right now. Any surprise in either direction could move all three simultaneously.
Yen intervention risk. The yen is near levels that have previously triggered action from Japanese authorities. Traders with Asia-Pacific exposure should monitor closely.
RBA's next move. With Australia now at 4.10% and inflation still above target, the question is whether the hiking cycle has further to run. The next RBA meeting is on 5 May.
Geopolitical trajectory. Any move toward de-escalation in the Middle East would quickly reduce safe haven demand and rotate capital back into risk assets. The reverse is equally true.
China's growth signal. A stronger-than-expected Chinese recovery could lift commodity currencies and reduce defensive positioning across Asia-Pacific.
The Longer-Term Lens
The 2026 environment is exposing that the effectiveness of safe haven assets depends on the type of shock, not just its severity.
An inflationary supply shock like the Iran conflict has delivered is one of the most difficult environments for traditional safe havens.
Gold falls as real yields rise. Bonds sell off as inflation expectations climb. Even the yen can weaken as Japan's import costs surge.
What has held up are assets with institutional credibility, managed frameworks, and deep liquidity regardless of macro conditions. The Swiss franc, Singapore dollar, and short-duration cash instruments fit that description better than gold or long bonds do right now.
In 2026, the question for traders is not "which safe haven?" It is "a safe haven from what?"
If you've spent any time looking at a trading terminal, you've seen it. A news headline breaks, a chart line snaps, and suddenly everyone is rushing for the same exit or the same entrance. It looks like chaos. In practice, it is often a chain of mechanical responses.
This matters for a couple of reasons. Many readers assume the story is the trade. It is not. The story, whether it is an interest rate decision, a supply shock or an earnings miss, is the fuel and the playbook is the engine.
Below are seven core strategies often used in contracts for difference (CFDs) trading. With CFDs, you are not buying the underlying asset. You are speculating on the change in value. That means a trader can take a long position if the price rises, or a short position if it falls.
Seven strategies to understand first
1. Trend following (the establishment play)
Trend following works on the idea that a market already in motion can remain in motion until it meets a clear structural obstacle. Some market participants view it as a chart-based approach because it focuses on the prevailing direction rather than trying to call an exact turning point.
The rationale: The aim is to identify a clear directional bias, such as higher highs and higher lows, and follow that momentum rather than position against it.
What traders look for: Exponential moving averages (EMAs), such as the 50-day or 200-day EMA, are commonly used to interpret trend strength, though indicators can produce false signals and are not reliable on their own.
Source: GO Markets | Educational example only.
How it works: The 50-period EMA can act as a dynamic support level that rises as price rises. In an uptrend, some traders watch for the market to make a new higher high (HH), then pull back towards the EMA before moving higher again. Each higher low (HL) may suggest buyers are still in control.
When price touches or comes close to the 50-period EMA during that pullback, some traders treat that area as a potential decision zone rather than assuming the trend will resume automatically.
What to watch: The sequence of HHs and HLs is part of the structural evidence of a trend. If that sequence breaks, for example if price falls below the previous HL, the trend may be weakening and the setup may no longer hold.
2. Range trading (the ping-pong play)
Markets can spend long stretches moving sideways. That creates a range, where buyers and sellers are in temporary balance. Range trading is built around this behaviour, focusing on moves near the bottom and top of an established range.
The rationale: Price moves between a floor, known as support, and a ceiling, known as resistance. Moves near those boundaries can help define the width of the range.
What traders look for: Some traders use oscillators such as the Relative Strength Index (RSI) to help judge whether the asset looks overbought or oversold near each boundary.
Source: GO Markets | Educational example only.
How it works: The support level is a price zone where buying interest has historically been strong enough to stop the market from falling further. The resistance level is where selling pressure has historically prevented further gains.
When price approaches support, some traders look for signs of a potential rebound. When it approaches resistance, they look for signs that momentum may be fading. RSI readings below 35 can suggest the market is oversold near support, while readings above 65 can suggest it is overbought near resistance.
What to watch: The main risk in range trading is a breakout, when price pushes decisively through either level with strong momentum. This may signal the start of a new trend and using a stop-loss just outside the range on each trade may help manage that risk.
3. Breakouts (the coiled spring play)
Eventually, every range comes under pressure. A breakout happens when the balance shifts and price pushes through support or resistance. Markets alternate between periods of low volatility, where price moves sideways in a tight range, and high-volatility bursts where price can make a larger directional move.
The rationale: Quiet consolidation can sometimes be followed by a broader expansion in volatility. The tighter the compression, the more energy may be stored for the next move.
What traders look for: Bollinger Bands are often used to interpret changes in volatility. When the bands tighten, a squeeze is forming. Some market participants view a move outside the bands as a sign that conditions may be changing.
Source: GO Markets | Educational example only.
How it works: Bollinger Bands consist of a middle line, the 20-period moving average, and 2 outer bands that expand or contract based on recent price volatility. When the bands narrow and come close together, the squeeze, the market has been unusually calm.
This is often described as a coiled spring. Energy may be building, and a sharper move can follow. Some traders treat the first move through an outer band as an early clue on direction, rather than a definitive signal on its own.
What to watch: Not every squeeze leads to a powerful breakout. A false breakout occurs when price briefly moves outside a band, then quickly reverses back inside. Waiting for the candle to close outside the band, rather than entering mid-candle, can reduce the risk of being caught in a false move.
4. News trading (the deviation play)
This is event-driven trading. The focus is on the gap between what the market expected and what the data or headline actually delivered. Economic data releases, such as inflation figures (CPI), employment reports and central bank decisions, can cause sharp, fast moves in financial markets.
The rationale: High-impact releases, such as inflation data or central bank decisions, can force a fast repricing of assets. The bigger the surprise relative to expectations, the larger the move may be.
What traders look for: Traders often use an economic calendar to track timing. Some focus on how the market behaves after the initial reaction, rather than treating the first move as definitive.
Source: GO Markets | Educational example only.
How it works: Before the news, price may move in a calm, tight range as traders wait. When the data is released, if the actual reading differs significantly from the consensus expectation, repricing can happen fast.
Gold, for example, may spike sharply on a CPI reading that comes in above expectations. However, the candle can also print a very long upper wick, meaning price reached the spike high but was then rejected strongly. Sellers may step in quickly, and price may retrace. This spike-and-retrace pattern is one of the more recognisable setups in news trading.
What to watch: The direction and size of the initial spike do not always tell the full story. Wick length can offer an important clue. A long wick may suggest the initial move was rejected, while shorter wicks after a data release may indicate a more sustained directional move.
5. Mean reversion (the rubber-band play)
Prices can sometimes move too far, too fast. Mean reversion is built on the idea that an overextended move may drift back towards its historical average, like a rubber band pulled too tight, then snapping back.
The rationale: This is a contrarian approach. It looks for stretches of optimism or pessimism that may not be sustainable, and positions for a return to equilibrium.
What traders look for: A common example is price moving well away from a 20-day moving average (MA) while RSI also reaches an extreme reading. In that setup, traders watch for a move back towards the mean rather than a continuation away from it.
Source: GO Markets | Educational example only.
How it works: The 20-period MA represents the market's recent average price. When price moves into an extreme zone, such as more than 3 standard deviations above or below that average, it has moved a long way from its recent trend.
An RSI above 70 can suggest the market is stretched to the upside, while below 30 can suggest the same to the downside. Some mean reversion traders use these combined signals as a sign that a pullback towards the 20-period MA may be possible, rather than assuming the move will continue to extend.
What to watch: Mean reversion strategies can carry significant risk in strongly trending markets. A market can remain extended for longer than expected, and a position entered against the short-term trend can generate large drawdowns. Position sizing and clear stop-losses are critical.
6. Psychological levels (the big figure play)
Markets are driven by people, and people tend to focus on round numbers. US$100, US$2,000 or parity at 1.000 on a currency pair can act as magnets. In financial markets, certain price levels can attract a disproportionate amount of buying and selling activity, not because of technical analysis alone, but because of human psychology.
The rationale: Large orders, stop-losses and take-profit levels can cluster around these big figures, which may reinforce support or resistance. This self-reinforcing behaviour is one reason these rejections can become meaningful for traders.
What traders look for: Traders often watch how price behaves as it approaches a round number. The market may hesitate, reject the level or break through it with momentum. Multiple wick rejections at the same level may carry more weight than a single one.
Source: GO Markets | Educational example only.
How it works: When price approaches a round number from below, some traders watch for long upper wicks, the thin vertical line above the candle body. A long upper wick means price reached that level, but sellers stepped in aggressively and pushed it back down before the candle closed.
One wick rejection may be notable. Three in a cluster may be more significant. Some traders use this accumulated rejection as part of the case for a short (sell) setup at that level.
What to watch: Psychological levels can also act as magnets in the opposite direction. If price breaks through with conviction, the level may then act as support. A decisive close above the level, rather than just a wick break, can be an early sign that the rejection setup is no longer holding.
7. Sector rotation (the economic season play)
This is a macro strategy. As the economic backdrop changes, capital may move from higher-growth sectors into more defensive ones, and back again. Not all parts of the sharemarket move in the same direction at the same time.
The rationale: In a slowing economy, discretionary spending may weaken while demand for essential services can remain more stable. Investors may rotate capital between sectors accordingly.
What traders look for: With CFDs, some traders express this view through relative strength, taking exposure to a stronger sector while reducing or offsetting exposure to a weaker one.
Source: GO Markets | Educational example only.
How it works: During a growth phase, when the economy is expanding, investors tend to prefer growth-oriented sectors like technology. As the economic environment shifts, perhaps due to rising interest rates, slowing earnings or increasing recession risk, a rotation point may emerge.
In the slowdown phase, the pattern can reverse. Technology may weaken while utilities may strengthen, as investors move capital into defensive, income-generating sectors. Early signals can include relative underperformance in growth sectors combined with unusual strength in defensives.
What to watch: Sector rotation is not usually an overnight event. It typically unfolds over weeks to months. Tracking the ratio between two sectors, often shown in a relative strength chart, can make this shift visible before it becomes obvious in absolute price terms.
Why risk management is the engine of survival
The headline move is one thing. The market implication for your account is another. If you do not manage the mechanics, the strategy does not matter.
Because CFDs are traded on margin, a small market move may have an outsized impact on the account. If leverage is too high, even a minor wobble may trigger a margin call or automatic position closure, depending on the provider's terms. This is not a theoretical risk. It is a common reason new traders lose more than they expected on a trade that was directionally correct.
The market does not always move in a straight line. Sometimes, price gaps from one level to another, especially after a weekend or major news event and in those conditions, a stop-loss may not be filled at the exact requested price. That is known as slippage. It is one reason large positions may carry additional risk into major announcements.
Bottom line
The vehicle is powerful, but the playbook is what helps keep you on the road.
The obvious trade is often already priced in. What matters more is understanding which market condition is in front of you. Is it trending, ranging, breaking out or simply reacting to a headline?
Readers assessing leveraged products often focus on position sizing, risk limits and product disclosure before deciding whether the product is appropriate for them. The headlines will keep changing. The maths of risk management does not.
Disclaimer: This article is general information only and is intended for educational purposes. It explains common trading concepts and market behaviours and does not constitute financial product advice, a recommendation, or a trading signal. Any examples are illustrative only and do not take into account your objectives, financial situation or needs. CFDs are complex, leveraged products that carry a high level of risk. Before acting, consider the PDS and TMD and whether trading CFDs is appropriate for you. Seek independent advice if needed. Past performance is not a reliable indicator of future results.
Last week was as consequential as advertised. The RBA hiked, the Fed held, and markets barely had time to process any of it before reports emerged that Israel had struck Iran's South Pars gas field.
The week ahead brings fewer central bank decisions, but it may be just as important for markets. Flash PMIs will offer the first broad read on whether the war is already showing up in business confidence. Australia's February CPI is the domestic data point that matters most for the RBA's next move. And the oil market remains the dominant macro variable.
Quick facts
Brent crude spiked above $110 per barrel after Israel struck Iran's South Pars gas field for the first time.
Flash PMIs for Australia, Japan, the eurozone, UK, and the US all land Tuesday.
Australia's February CPI lands Wednesday, the first inflation read since the back-to-back RBA hikes.
Oil: From crisis to emergency
The oil situation deteriorated significantly last week. Brent crude has now surged roughly 80% since the war began on 28 February.
The 18 March strike on Iran's South Pars gas field was the first time upstream oil and gas infrastructure has been targeted.
Iran responded to the strike by threatening to target facilities across Saudi Arabia, the UAE and Qatar. If any of these threats are executed, the global oil shock would escalate from a supply disruption to a direct attack on the region's production capacity.
Analysts are now saying $150 Brent is achievable and $200 is not outside the realm of possibility. The 1970s Arab oil embargo resulted in a quadrupling of prices, and the current shock is already being described in those terms by senior energy executives.
For markets this week, oil is the dominant variable. Any signal of ceasefire, diplomatic progress or resumed Hormuz shipping could likely trigger a correction in oil prices. Any Iranian strike on Gulf infrastructure could send them higher.
Monitor
Daily vessel transit numbers through the Strait of Hormuz.
Iranian retaliation against Gulf infrastructure, a strike on Saudi or UAE facilities would be a major escalation.
When and how American and European IEA reserves reach the market.
Qatar's South Pars disruption is affecting the European LNG market.
Trump statements that could cause intraday oil price movement.
Global Flash PMIs: The first read on an economy at war
Tuesday delivers the S&P Global flash PMI estimates for March across every major economy simultaneously.
This will be the first data set to capture how manufacturers and services firms are responding to $100+ oil, the Strait of Hormuz blockade, and the broader uncertainty created by the war in the Middle East.
The key question for each economy is whether the oil price surge and war uncertainty have dented business confidence, suppressed new orders or pushed input price indices to new multi-year highs.
Given that oil crossed $100 before the survey window closed for most economies, input cost readings could be significantly elevated.
Key dates
S&P Global Flash Australia PMI: Tuesday 24 March, 9:00 am AEDT
S&P Global Flash Japan PMI: Tuesday 24 March, 11:30 am AEDT
HSBC Flash India PMI: Tuesday 24 March, 4:00 pm AEDT
HCOB Flash France PMI: Tuesday 24 March, 7:15 pm AEDT
The RBA hiked for the second meeting in a row on 17 March, lifting the cash rate to 4.10% in a narrow 5-4 vote.
Governor Bullock described it as a "very active discussion" where the direction of policy was not in question, only the timing.
This week will see the release of February's CPI as the first read to capture any of the oil shock. The trimmed mean, which strips out volatile items including fuel, will be the number the RBA watches most closely. A reading above 3.5% could cement the case for a May hike. A softer result could revive the argument for a pause.
ANZ and NAB have both stated expectations of a third hike in May, taking the cash rate to 4.35%.
Key dates
ABS Consumer Price Index (CPI): Wednesday 25 March, 11:30 am AEDT
Monitor
Trimmed mean inflation as the RBA's preferred measure.
Fuel and energy components that could separate the oil shock from domestic price pressure.
Housing and services inflation as sticky components driving the RBA's long-run concern.