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If you strip away the ticker code and the ASX jargon, Plato Global Alpha Fund Complex ETF is simple in concept. You are giving your money to a systematic stock picker that is long roughly 970 companies, short another 470, and trying to beat the MSCI World Index by 4% a year after fees. Since September 2021, it has beaten that goal by a wide margin, with about 25% per year net returns versus around 13% for the index. Growth of $10,000 in Plato Global Alpha vs MSCI World since September 2021, net of fees. This is a hedge fund style engine, packaged as an ETF on the ASX under PGA1, with daily liquidity and full portfolio disclosure. The question for an investor is not “what is the P/E” or “what is the dividend yield.” It is “do I trust this process, and do I think the edge is durable enough to survive fees, scale and bad markets.” What this equity actually is Legally, Plato Global Alpha is a unit trust, a registered managed investment scheme, with multiple unit classes inside a single structure. The class that trades on the ASX is the “B Class,” which is what you buy when you type PGA1 into your broker. Pinnacle Fund Services is the responsible entity (the trustee and legal owner of the assets) and Plato Investment Management runs the money. Economically, you are buying a slice of a pool of global equities and derivatives. At June 30 2025, the fund held about $1.17 billion of listed securities and derivatives, funded by $803.7 million of net assets and roughly $378 million of shorts and related liabilities. Region weights since inception, showing consistent tilt to North America with diversified exposure elsewhere. The ETF does not “trade at a multiple.” It trades at net asset value, because the market maker can create and redeem units at NAV. In practice the price tracks the underlying portfolio within a very tight band, with any small premium or discount arbitraged away. You are not playing discount games like a LIC. You are simply in or out at close to $1 of underlying for each $1 you invest. How the engine makes money Plato runs a quantitative model over a universe of about 11,500 stocks globally. It scores them across value, quality, sentiment and a proprietary “red flag” system that draws from something like 850 data inputs. About the top 10% of the universe goes into the long book, the worst decile becomes the short book. That produces a portfolio of roughly 970 long positions and 470 shorts at any point in time. On exposure, think of it like this: * Long exposure is usually around 180% of net assets. * Short exposure is about 80%. * Net exposure sits near 100%, which means the fund behaves broadly like global equities, but with a long and short overlay on top. This is leverage. It magnifies both gains and losses. The comfort here is diversification. With well over a thousand positions, the idiosyncratic risk of any single stock blowing up the fund is tiny. What really matters is whether the signals Plato uses to rank stocks continue to work over time. The stated objective is to beat the MSCI World Net Returns Index (in Australian dollars, unhedged) by 4% a year after all fees over rolling 5 year periods. So far the realised number is closer to 12.5% per year of alpha since inception to October 2025. Fees and who gets paid The base management fee is 0.88% per annum of net assets. On top of that, Plato takes 15% of any outperformance over the MSCI World benchmark, after the base fee. There is also a 0.30% buy and sell spread baked into the unit price to protect existing investors from transaction costs when new money comes in or out. In dollar terms, with $803.7 million of net assets at June 30 2025, base fees annualised were about $7.1 million, although the actual expense booked for FY25 was lower, because average AUM was smaller earlier in the year. Performance fees are where the real money is for Plato. The fund generated about $144.1 million of net investment income in FY25, of which around $119 million flowed through as increase in net assets to unitholders after paying fees. Roughly 83% of the gross investment gains ended up in investors’ hands, with the balance going to the manager and costs. From an investor’s perspective, fees are not cheap, but so far they have been paid out of genuine alpha, not just market beta. The key question is whether you believe Plato can keep producing enough excess return to more than cover that fee drag through a full cycle. Who is driving the boat The strategy is led by Dr David Allen, Head of Long Short Strategies at Plato. He is a career quant, ex J.P. Morgan, with a PhD from Cambridge. He fronts the Livewire interviews, conference slots and roadshows, and he and his team appear to have significant money invested alongside clients, largely via a “Z class” of units that had about $68.7 million of NAV at June 30 2025, which is more than 8% of the total fund. Dr David Allen and Charles Lowe, the team behind Plato Global Alpha. Oversight sits with Pinnacle’s responsible entity board and a compliance committee that meets quarterly. PwC audits the fund and provided a clean opinion for FY25, highlighting valuation as a key audit focus but concluding that processes and numbers are fair. This is not a key man plus spreadsheet outfit. It is a systematic team wrapped inside a listed asset manager group with real governance, a big custodian in Citigroup, and Goldman Sachs as prime broker. That does not remove risk, but it reduces the odds of operational nonsense. Performance and flows The hard numbers are what made this fund a talking point. Since 1 September 2021, the strategy has returned around 25.6% per year net of fees, versus about 13.1% per year for the MSCI World index, which implies around 12.5% per year of alpha. Over the year to October 2025, the return was roughly 41.2% versus 22.1% for the index, a 19.1% gap. Net performance of Plato Global Alpha vs MSCI World to 31 October 2025. Through FY2025 alone, the portfolio delivered a 38.8% net return versus 18.5% for the benchmark, with downside capture of about 65% since inception. That means that in down markets, the fund has historically lost about two thirds as much as the broader market. Investors have noticed. Net assets jumped from $114.5 million to $803.7 million in the year to June 2025, driven by about $560 million of net applications and strong performance. The listed ETF portion alone is now roughly $636 million based on late November 2025 prices, while the total strategy including unlisted classes is likely over $1 billion. Top 10 contributors and detractors over the last 12 months, showing both long and short impact. This looks and behaves like a strong product-market fit. The combination of a differentiated process, a simple wrapper and good early numbers has created a positive loop of flows, press and more flows. Income, or lack of it If you want income, this is the wrong product. The trailing 12 month distribution was about $0.0016 per unit. At a unit price around $13.75, that is a yield of roughly 0.01%. This is deliberate. The fund keeps almost everything in the portfolio so the return shows up as NAV growth, not cash. That suits investors focused on total return and tax efficiency, particularly inside super. It does not suit someone living off distributions. You are relying entirely on capital growth driven by the manager’s skill. Key risks you are actually taking There are plenty of pages in the PDS about risk. A few matter more than others. First, market risk. The fund is roughly 100% net long global equities. If global markets fall 30%, you should assume your units fall materially as well, even if a good short book softens the blow. Second, model and factor risk. The engine is systematic. If the relationships that powered the model in the backtest and early years stop working, the edge can fade. A period where low quality, heavily shorted stocks rip higher, or a violent factor rotation, can hurt. The “150 red flags” system that finds shorts is powerful when markets reward fundamentals. It is vulnerable when crowds chase story stocks. Third, capacity and liquidity. As the fund grows, it needs to be careful not to clog smaller stocks, especially on the short side. The current universe and diversification give a long runway, and management has not indicated a hard capacity cap, but at several billion dollars they will have to work harder to avoid market impact. Finally, the usual leverage and shorting risks. Gross exposure near 190% of NAV means errors are magnified. Short squeezes, takeovers in the short book and sudden spikes in volatility can all cause sharp drawdowns. Plato’s historical downside capture of about 65% suggests risk controls are working so far. It does not guarantee the next crisis behaves the same way. Who this suits, and how to think about it PGA1 is not a broad market building block like a cheap index ETF. It is an active satellite. The right mental model is “I am paying a specialist team to run a diversified, leveraged long and short book over global equities, with a track record that so far justifies the cost.” It suits an investor who: * Can hold for at least 5 years, which is the horizon the manager uses to judge the strategy. * Is comfortable with equity risk and some leverage, and can stomach performance fees when alpha is strong. * Wants something more aggressive and differentiated than a plain MSCI World tracker, and is happy to judge success relative to that benchmark, not cash. It is not suitable as a defensive holding or as a source of reliable income. It should not be your only global allocation. It is a higher octane overlay on top of a sensible core. The bottom line Plato Global Alpha sits in a rare sweet spot for now. It offers a true global long short engine, robust institutional plumbing, competitive fees for the strategy type, and a very strong early performance record, all in an ASX traded ETF wrapper with daily liquidity and tight pricing around NAV. The bear case is simple. If the model’s edge fades, or if the fund becomes too large, or if we hit a market regime where their factors are on the wrong side of the trade, returns can normalise or worse. In that world you are still paying 0.88% plus performance fees for something that starts to look like expensive beta. The bull case is equally clear. If they can keep delivering even half the historical alpha over a full cycle, the fund compounds faster than global markets for years, and remains one of the more attractive high conviction, systematic global equity options available to Australian investors. At current scale and with the current track record, this looks like an interesting satellite position, not a core allocation. The right mindset is to size it so that if the engine keeps firing, it moves the needle, and if it stumbles, it does not break the portfolio.

The real debate on UiPath is simple. Is this just an ex-hype robotic process automation name that will grind along at single-digit growth, or is it a high-margin automation platform that can re-accelerate as “agentic AI” moves from slides into production? Palantir and UiPath often get mentioned in the same AI breath, but they sit at different layers of the stack. Palantir’s edge is deep data processing and modelling inside a smaller number of very sticky customers, while its distribution is still developing. UiPath is the opposite shape; its data and modelling layer is thinner, but it has far broader distribution across enterprises through partners and installed robots. Right now the market is pricing UiPath somewhere in the middle. At roughly 5 times sales, it is not being treated like a busted stock, but it is also not priced as a core AI winner. That gap is where the opportunity sits, if you are willing to hold for years and live with volatility. In short, this is a high risk, high reward name that asks for patience, not trading. What the company actually does UiPath sells an automation platform to big organisations. In practical terms, they help banks, insurers, hospitals, manufacturers and governments replace repetitive human workflows with software robots and AI agents. A customer might use UiPath to read invoices, move data between legacy systems, trigger approvals, test software, and involve humans only when needed. The platform covers process discovery, building the automation, running it across robots and agents, and monitoring compliance. The money comes mainly from term subscription licenses, not one-off deals. Customers pay for platform access and for different types of robots and users, usually on one year contracts paid up front. Cloud plans start around $25 per user per month for simple tiers, with larger enterprises on custom pricing. Professional services and training sit on top but do not drive the story. The customer base is firmly enterprise. As at 31 January 2025, UiPath had 2,292 customers with annual recurring revenue, ARR, of at least $100,000 and 317 customers above $1 million in ARR, representing 87% and 51% of revenue. ARR is the annualised value of subscription contracts, assuming no upsell or churn. In short, UiPath is an enterprise automation platform that gets paid recurring fees to orchestrate software robots, AI agents and people across complex business processes. What changed, right now Three things matter today. First, growth has slowed but stabilised. ARR was $1.666 billion as at 31 January 2025, then $1.693 billion in Q1 FY26 and $1.723 billion in Q2 FY26, growing roughly 11% to 12% year over year. Dollar based net retention rate, DBNRR, has held at 108%. DBNRR measures how much existing customers spend after a year, including upsells and churn. Above 100% means the cohort is expanding. Second, the margin story is finally becoming real. Gross margin sits around 82% to 83%. Despite GAAP operating losses, free cash flow has been consistently strong, around 20% of revenue over the last three fiscal years. For FY26, management is guiding to around $1.57 billion in revenue and roughly $340 million of non-GAAP operating income, which implies non-GAAP operating margins in the low twenties. Third, the product story has shifted from “RPA” to “agentic automation”. The company has relaunched its platform around AI agents that can handle more complex workflows, and it is leaning on partnerships with Deloitte, HCLTech and major cloud and software vendors to get those deployments into the field. The share price has already de-rated hard from the early years. Price to sales has compressed from more than 10 times in 2023 to roughly 5 times today, with the stock at about $14. In short, UiPath has moved from pure growth story to a slower growing, high margin automation platform, at a lower multiple, with a new AI-driven product cycle to prove. The engine The economic engine is clean. UiPath spends heavily to win and support large customers, then collects high margin subscription revenue for years if it executes. On roughly $1.43 billion of revenue in fiscal 2025, gross profit was about $1.18 billion, or nearly 83% gross margin. The variable cost to serve each extra dollar of license revenue is small. The heavy spend is in sales and marketing, plus research and development, most of which is effectively discretionary. GAAP operating margin was around minus 15% in 2025, hurt by high stock based compensation of about $466 million. On a cash basis, the picture is better. Operating cash flow was roughly $339 million and free cash flow about $287 million, a margin around 20%. That cash comes from upfront billings, high gross margin and non-cash expenses. If UiPath can keep ARR growing at low double digits and hold free cash flow margins in the low to mid twenties, the business will generate meaningful cash against an enterprise value around $6.1 billion and net cash over $1 billion. In short, this is a high gross margin, subscription engine that already converts about 20% of revenue into free cash flow, even before it shows much operating leverage in the P&L. Edge and moat direction UiPath’s moat sits in three places. First, product and brand. It has been recognised as a Leader in Gartner’s Magic Quadrant for robotic process automation for seven years in a row, ranked highest for ability to execute. That is a strong signal of feature depth and real-world deployments. Second, embedded enterprise relationships. The majority of revenue comes from customers already paying at least $100,000 a year, and many paying over $1 million. Once an automation platform is embedded in dozens of critical processes, ripping it out is painful. A DBNRR of 108% in a mixed macro environment suggests UiPath is still expanding within its base. Third, ecosystem. The company leans on a global partner network, including Deloitte and HCLTech, and runs a large developer and certification community via UiPath Academy and its marketplace. That matters because the bottleneck in automation is qualified people who know how to design and deploy it, not just software features. On top of that, Microsoft and UiPath just expanded their relationship, with UiPath named the preferred enterprise automation platform on Azure and Azure AI agents routed through UiPath Maestro for workflow execution. That is exactly the kind of signal you want to see in a contested category, a major cloud provider leaning in as a partner at the automation layer instead of immediately trying to rip you out The moat is not unassailable. Microsoft, ServiceNow, Salesforce and others are pushing their own automation and workflow tools. UiPath does not own the underlying cloud infrastructure and depends on major cloud providers for hosting. In short, UiPath has a real but contested moat, strongest in enterprise RPA and automation today, and its direction depends on whether agentic automation gains traction before large platforms erase the differentiation. Where I differ from consensus The Street currently treats UiPath as a decent, mid-growth software name with a good cash profile but limited upside. Consensus view is roughly high single to low double digit revenue growth, DBNRR stuck around 108%, and non-GAAP operating margins in the low twenties. On that view, a 5 times sales multiple is fair and maybe even generous. My take is slightly more optimistic, but still disciplined. I think there is a credible path to mid teens ARR growth if agentic automation deployments ramp over the next three to five years, while free cash flow margins hold around 20% to 25%. At the current enterprise value, that would justify a higher equity value over time without needing bubble multiples. The stock does not need 30% growth to work, it needs 10% to 15% growth plus disciplined capital allocation. This view is wrong if ARR growth drops below about 8% and DBNRR slides under 103% for more than a couple of quarters. At that point UiPath becomes a mature, low growth tool with limited pricing power, and the multiple should compress further. In short, I see UiPath as a potential mid teens grower with strong cash flow, not a broken growth story, but the burden of proof is on upcoming ARR and DBNRR prints. Catalysts and proof points Here is what matters next. • Q3 FY26 earnings on 3 December 2025. Watch ARR, net new ARR and DBNRR, plus any update to full year guidance. • Q4 FY26 and FY27 outlook around March 2026. Evidence that revenue and ARR are tracking the guide, and that non-GAAP operating margin is moving toward the low twenties. • Product and customer proof on agentic automation. Case studies, wins with Deloitte and HCLTech, and any numbers on AI modules attached per customer will show whether the new platform is more than marketing. If, by early 2027, ARR growth is back at or above 13% with DBNRR above 110% for several quarters and free cash flow margins are still near 20% to 25%, the bull case becomes much stronger. In short, this is a “show me” story where the next 18 to 24 months of ARR, DBNRR and margin execution will decide whether the market re-rates the stock. Valuation, quick reality check At around $14 per share, UiPath’s market value is roughly $7.5 billion, with enterprise value about $6.1 billion after net cash. On trailing numbers, that is about 5 times revenue and roughly in line with what a mid-growth, high margin software business should trade on. For context, Simply Wall St’s DCF-based model currently pegs “fair value” around $17.73 per share versus a spot price near $12.50, implying roughly 30% upside. I treat this as one external cross-check, not a hard target, but it lines up with the view that UiPath is modestly undervalued if it can deliver low-teens growth and mid-twenties cash margins. A simple steady state lens helps. If the business can reach about $2.0 billion of revenue with a 25% free cash flow margin, it would generate roughly $500 million of free cash flow. With an 11% required return and 3% terminal growth, that supports an enterprise value in the region of today’s level. Any growth beyond that or higher margins justify upside. On a basic scenario grid, a base case of 10% to 12% revenue growth and 22% to 25% free cash flow margin supports mid-teens share prices over the next few years. A bull case of mid teens growth and higher margins pulls the stock into the high teens or low twenties. A bear case of growth sliding below 8% and multiple compression toward 3 to 4 times sales puts the stock back in the high single digits or low teens. In short, the current price bakes in a modest future and leaves room for upside if UiPath proves it can be a durable, mid teens growth cash compounder. Risks that actually matter • Structural slowdown in growth Early warning: ARR growth drops below 8% and DBNRR falls under 103% for more than two quarters. Action: Treat this as a thesis break and reduce or exit, since the business would then be a low growth tool at risk of further de-rating. • Competition from large platforms Early warning: major cloud or enterprise software vendors standardise on their own automation tools and de-emphasise UiPath in public partnerships and integrations. Action: If win rates and reference deals visibly shift away from UiPath, assume pricing pressure and lower long term margins, and cut the position. • AI and regulatory hits Early warning: meaningful restrictions from AI regulation or a high profile failure that forces UiPath to cripple key capabilities. Action: Re-underwrite the investment case with lower growth and higher costs, and be willing to exit if product competitiveness is structurally impaired. In short, the real risks are sustained demand slowdown, being out-run by bigger platforms, or an AI related shock, not quarter to quarter volatility. Verdict Verdict: Buy, building conviction, tuck-in position. UiPath is not a safe compounder yet. It is a leveraged bet on automation and AI agents becoming a standard layer in enterprise software, with a clear path to strong cash generation but an open question on growth. At today’s valuation, you are not paying for perfection, but you are also not getting it for free. This belongs as a small starter position that you are prepared to hold for at least five years, with a plan to add only if ARR growth and DBNRR move in the right direction and margins track the guide. In short, for investors comfortable with volatility and a multi year horizon, UiPath looks like a high risk, high reward buy, sized carefully, with the thesis riding on ARR growth and cash margins, not on narrative alone.

The question is not whether Meta is healthy, it is what this spending cycle buys. The September quarter put that in plain view. Revenue grew 26% to $51.24 billion, ad impressions rose 14%, and average price per ad increased 10%. That means both volume and pricing are working at once, which is rare at this scale. Reported earnings were noisy because of a one-time, non-cash tax charge of $15.93 billion. Underneath that, the operating machine delivered $20.54 billion of operating income at about a 40% margin. In short, demand is firm and the core engine is intact. What the money is really for The headline number that matters is $19.37 billion of capital expenditures in the quarter. Capital expenditures, or capex, are cash spent on long-lived assets like data centers, networking, and chips. Meta is buying the right to deliver faster feeds, smarter ads, and new AI products for years. This is not decorative spending. More compute capacity improves model training, which is how AI systems learn from data, and inference, which is how those systems make real-time predictions like which video to show and which ad to price. Better predictions mean higher click-through rates, the share of people who click after seeing an ad, which supports higher price per ad. This is not cosmetic spend. The jump from $9.202 billion in Q3 2024 to $19.374 billion this quarter indicates that Meta is acquiring long-lived compute capacity, which enhances model training and real-time inference. At $50.078 billion year-to-date versus $24.389 billion for all of 2024, the build is already on a different scale. The payback shows up in better recommendations, higher click-through rates, and price per ad that can rise without pushing ad load. The engagement proof You can see the loop in the usage numbers. Daily active people, the count of unique users who used at least one Meta app on a given day, averaged about 3.54 billion in September, up 8%. Zuckerberg said time spent rose 5% on Facebook and 10% on Threads, with Instagram video time up more than 30% year over year. As time in feed increases, Meta earns two benefits simultaneously: more ad inventory and cleaner signals about what people care about. Those signals feed back into the models, which makes the feed more relevant, which keeps people around longer. In short, the recommendation loop is strengthening, and the ad system benefits directly. Reach still compounds. DAP rose to roughly 3.54 billion, an 8% year-on-year increase. More people in the feed creates more ad inventory and a larger data set, which in turn trains better models. That loop is why engagement gains translate into monetisation power. The accounting noise, translated The $15.93 billion tax charge is a one-time, non-cash item. Non-cash means it does not leave the bank account now. The reported effective tax rate, tax expense divided by pre-tax income, looked extreme as a result. On a normalised basis, management suggested roughly a 14% tax rate. That reconciles the optics with reality: the business that throws off cash did not vanish; it was masked. In short, ignore the headline EPS and watch operating profit and cash. The headline EPS understates the quarter. The $15.93 billion non-cash tax item pulled reported earnings down to $1.05, but operating profit stayed near a 40% margin. On a normalized tax rate around 14%, earnings per share would sit near $7.25. The operating machine did not change, the accounting did. What this does to cash flow Free cash flow is the cash left after paying for operations and capex. Formula in plain English, operating cash flow minus capex. Big capex pushes free cash flow down in the near term. That is intentional. These are fixed costs, bills that do not grow one-for-one with each extra user or ad. Once the build is in place and usage is high, most new revenue drops to profit because serving another view costs very little. That is the operating leverage the market is paying for. Why this spend could earn above average returns Two reasons. First, Meta’s scale. Training large models is constrained by data quality, compute, and distribution. Meta has all three. The audience is more than three billion people daily, the compute budget is now industry-leading, and the models improve every time a user engages. Second, monetization pathways. Better feed quality raises ad pricing without raising ad load, so user experience does not need to deteriorate to grow revenue. Over time, the same compute can support new products, for example AI agents for creators and small businesses, and more automated ad tools. These may look like gradual improvements, but gradual improvements multiplied across billions of sessions compound into real money. What could get in the way Regulation is the obvious brake. In Europe, the Less Personalized Ads framework limits targeting and could weigh on revenue per user. In the United States, youth-safety cases scheduled for 2026 carry financial and product-design risk. A second brake is execution risk on the build. If the capex curve rises again in 2026 without a matching rise in operating cash flow, free cash flow could stay muted longer than the market tolerates. A third is engagement fatigue. If time spent flattens for two consecutive quarters, the recommendation gains may be topping out. In short, the risks are not exotic, they are policy, cash timing, and sustained engagement. Reality Labs in context Hardware, AR, and VR generated a small revenue base and large losses this quarter. Treat it as a long-dated call option, not the investment case. The reason to own Meta today is the ads and AI compounder, not a near-term headset payoff. If Reality Labs stumbles, it dents sentiment, not the core cash thesis. What the next year needs to prove Three checks. First, deliver the fourth-quarter revenue range of $56 billion to $59 billion, ideally at the upper end, which would confirm durable advertiser demand and pricing power. Second, provide a clear 2026 capex plan that shows stages and supply commitments, so investors can map when free cash flow turns. Third, keep the engagement and price-per-ad trend positive, even if growth cools from this quarter’s pace. If those three hold, the market should start valuing Meta on earnings power after the build, not during it. This is the picture to keep in mind. Revenue keeps climbing, usage is edging higher, and the share price has followed. The multiple hovers around the high-20s on this cut of data, which is fair if free cash flow turns up through 2026. The next leg of returns comes from converting the capex wave into cash, not from squeezing ad load. How I value it Keep the math simple and falsifiable. On current trajectory, a reasonable 2026 earnings power is about $28 per share, which assumes mid-teens revenue growth, near a 40% operating margin, and a normalized tax rate. A business with Meta’s network effects, data scale, and improving free cash flow can trade at about 24 times that number. That implies value near $672. To allow for execution risk, regulatory friction, and capex timing noise, I set a 12-month price target of $650 by November 2026. The path to that number is straightforward: hold engagement gains, keep price per ad growing in the mid single digits, and show a visible turn in free cash flow through 2026. In short, the upside is earned by proof, not promises. How investors get paid Two levers. Earnings growth from better pricing and modest ad load, and free cash flow recovery as the capex wave crests. If free cash flow accelerates faster than earnings, buybacks add torque. If the company demonstrates disciplined phasing of compute spend, the multiple can hold or expand slightly as confidence builds. What would change my mind If 2026 capex guidance keeps stepping up without operating cash flow following, the return on investment is slipping. If EU policy forces heavier restrictions that knock several billion off annual revenue with no offsetting product response, the earnings power estimate needs to come down. If time spent stalls, the data flywheel slows, and pricing power will fade. Any one of these would move the stock to watchlist rather than a core position. In short, cash, policy, and time spent are the three dials to watch.

Rowe Finance delivers real-time insights on business, investing, and market trends, offering expert analysis and financial strategies for all investors. KNOWLEDGE IS POWER. Trending Articles Worldwide UiPath: a small bet on a big automation payoff Ben Rowan Nov 17 8 min read Meta Q3 2025 Earnings Report: spending into advantage Ben Rowan Nov 12 5 min read IREN: Quietly building the next AI cloud backbone Ben Rowan Nov 11 7 min read Duolingo after Q3: why a beat sold off, what leadership is signalling, and how the next leg sets up Ben Rowan Nov 9 5 min read From Trust to Survival: Why Investors Keep Turning to Gold, Silver, and Bitcoin Ben Rowan Sep 25 7 min read Latest News and Analysis on the Most Talked About Companies and Markets. More Articles → September Recommendation - $GOOG:US Monthly Review of High Potential Stocks from US Markets. Alphabet Inc. 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As central banks accelerate their gold buying, silver demand climbs to record industrial levels, and Bitcoin adoption expands through ETFs and institutional inflows, the case for hard money is no longer just about growth — it is about survival. Sept. 25, 2025 · 12 min read Full Article → UiPath: a small bet on a big automation payoff Nov 17 8 min read Meta Q3 2025 Earnings Report: spending into advantage Nov 12 5 min read IREN: Quietly building the next AI cloud backbone Nov 11 7 min read Duolingo after Q3: why a beat sold off, what leadership is signalling, and how the next leg sets up Nov 9 5 min read Equity Heatmap Winners, losers, and everything in between. A real-time snapshot of market momentum. Latest Articles Fresh off the Press, Stay Updated with all Relevant News. All Articles → UiPath: a small bet on a big automation payoff Ben Rowan Nov 17 8 min read Meta Q3 2025 Earnings Report: spending into advantage Ben Rowan Nov 12 5 min read IREN: Quietly building the next AI cloud backbone Ben Rowan Nov 11 7 min read Duolingo after Q3: why a beat sold off, what leadership is signalling, and how the next leg sets up Ben Rowan Nov 9 5 min read From Trust to Survival: Why Investors Keep Turning to Gold, Silver, and Bitcoin Ben Rowan Sep 25 7 min read Is SoFi the Future of Digital Banking, or Just Another Overpriced Fintech? Ben Rowan Sep 24 7 min read Google Equity Report: Undervalued by $3 Trillion. Ben Rowan Sep 17 1 min read Why a Market Correction Looks Closer Than You Think — and What Could Trigger It Ben Rowan Aug 18 6 min read UnitedHealth Group Equity Report Q2 25' Ben Rowan Aug 10 1 min read Beyond the Beats: A Deep Dive into Spotify’s Growth and Strategy Ben Rowan Dec 8, 2024 5 min read Why Rocket Lab Could Be the Space Stock That Takes Your Portfolio to the Moon Ben Rowan Nov 29, 2024 4 min read IS AMAZON ABOUT TO KILL HIMS? Not a Chance. And Here's Why… Ben Rowan Nov 16, 2024 4 min read Google Equity Report: Undervalued by $3 Trillion. FULL EQUITY REPORT ON ALPHABET (GOOG:US) Click Here Alphabet’s latest numbers and trends make a strong case for the stock. The full... ABOUT US Ben Rowan Founder of Rowe Finance LinkedIn Ibrahim (Inan) Asif Co-Founder of Rowe Finance VISION Rowe Finance was established by lifelong friends Ben and Inan with a shared passion for equity markets and financial education. With a focus on Australian and international equities, our platform provides high-quality equity research, company financial analysis, and independent stock recommendations tailored for the next generation of investors. Our mission is to equip young adults with the analytical tools and market insight needed to navigate the complexities of modern finance. From dissecting balance sheets to evaluating investment opportunities, Rowe Finance aims to bridge the gap between institutional-grade analysis and retail investor accessibility. Join us as we break down company reports, explore market trends, and deliver concise, research-backed commentary - making the world of investing clearer, smarter, and more engaging.

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