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Opinions expressed by Entrepreneur contributors are their own. Let’s be honest: Most of what we call artificial intelligence today is really just pattern-matching on autopilot. It looks impressive until you scratch the surface. These systems can generate essays, compose code and simulate conversation, but at their core, they’re predictive tools trained on scraped, stale content. They do not understand context, intent or consequence. It’s no wonder then that in this boom of AI use, we’re still seeing basic errors, issues and fundamental flaws that lead many to question whether the technology really has any benefit outside its novelty. These large language models (LLMs) aren’t broken; they’re built on the wrong foundation. If we want AI to do more than autocomplete our thoughts, we must rethink the data it learns from. Related: Despite How the Media Portrays It, AI Is Not Really Intelligent. Here’s Why. The illusion of intelligence Today’s LLMs are usually trained on Reddit threads, Wikipedia dumps and internet content. It’s like teaching a student with outdated, error-filled textbooks. These models mimic intelligence, but they cannot reason anywhere near human level. They cannot make decisions like a person would in high-pressure environments. Forget the slick marketing around this AI boom; it’s all designed to keep valuations inflated and add another zero to the next funding round. We’ve already seen the real consequences, the ones that don’t get the glossy PR treatment. Medical bots hallucinate symptoms. Financial models bake in bias. Self-driving cars misread stop signs. These aren’t hypothetical risks. They’re real-world failures born from weak, misaligned training data. And the problems go beyond technical errors — they cut to the heart of ownership. From the New York Times to Getty Images, companies are suing AI firms for using their work without consent. The claims are climbing into the trillions, with some calling them business-ending lawsuits for companies like Anthropic. These legal battles are not just about copyright. They expose the structural rot in how today’s AI is built. Relying on old, unlicensed or biased content to train future-facing systems is a short-term solution to a long-term problem. It locks us into brittle models that collapse under real-world conditions. A lesson from a failed experiment Last year, Claude ran a project called “Project Vend,” in which its model was put in charge of running a small automated store. The idea was simple: Stock the fridge, handle customer chats and turn a profit. Instead, the model gave away freebies, hallucinated payment methods and tanked the entire business in weeks. The failure wasn’t in the code. It was during training. The system had been trained to be helpful, not to understand the nuances of running a business. It didn’t know how to weigh margins or resist manipulation. It was smart enough to speak like a business owner, but not to think like one. What would have made the difference? Training data that reflected real-world judgment. Examples of people making decisions when stakes were high. That’s the kind of data that teaches models to reason, not just mimic. But here’s the good news: There’s a better way forward. Related: AI Won’t Replace Us Until It Becomes Much More Like Us The future depends on frontier data If today’s models are fueled by static snapshots of the past, the future of AI data will look further ahead. It will capture the moments when people are weighing options, adapting to new information and making decisions in complex, high-stakes situations. This means not just recording what someone said, but understanding how they arrived at that point, what tradeoffs they considered and why they chose one path over another. This type of data is gathered in real time from environments like hospitals, trading floors and engineering teams. It is sourced from active workflows rather than scraped from blogs — and it is contributed willingly rather than taken without consent. This is what is known as frontier data, the kind of information that captures reasoning, not just output. It gives AI the ability to learn, adapt and improve, rather than simply guess. Why this matters for business The AI market may be heading toward trillions in value, but many enterprise deployments are already revealing a hidden weakness. Models that perform well in benchmarks often fail in real operational settings. When even small improvements in accuracy can determine whether a system is useful or dangerous, businesses cannot afford to ignore the quality of their inputs. There is also growing pressure from regulators and the public to ensure AI systems are ethical, inclusive and accountable. The EU’s AI Act, taking effect in August 2025, enforces strict transparency, copyright protection and risk assessments, with heavy fines for breaches. Training models on unlicensed or biased data is not just a legal risk. It is a reputational one. It erodes trust before a product ever ships. Investing in better data and better methods for gathering it is no longer a luxury. It’s a requirement for any company building intelligent systems that need to function reliably at scale. Related: Emerging Ethical Concerns In the Age of Artificial Intelligence A path forward Fixing AI starts with fixing its inputs. Relying on the internet’s past output will not help machines reason through present-day complexities. Building better systems will require collaboration between developers, enterprises and individuals to source data that is not just accurate but also ethical as well. Frontier data offers a foundation for real intelligence. It gives machines the chance to learn from how people actually solve problems, not just how they talk about them. With this kind of input, AI can begin to reason, adapt and make decisions that hold up in the real world. If intelligence is the goal, then it is time to stop recycling digital exhaust and start treating data like the critical infrastructure it is. Read More

Labubu, a plush toy doll, is hanging off handbags around the world. And the monster-like accessory has helped its parent company’s revenue skyrocket. Pop Mart, a character-based entertainment company and toymaker, reported a 400% first-half net profit this week. On a call with analysts on Wednesday, CEO Wang Ning, 38, said that the company could reach 30 billion yuan ($4.18 billion) in revenue this year “quite easy,” per Reuters. Related: ‘It’s an Addiction’: Rise of the Squishmallows, an Irresistible Plush Toy With an Adult Fanbase The Labubu brand is part of the Pop Mart’s Monsters series, which alone generated around $670 million in revenue in the first half of 2025, the company reported. Ning said on the call that it should lead to earnings of over $1 billion for the series by the end of the year. That’s a 688% increase year-over-year, per the New York Times. Meanwhile, Wired reports that Labubu had more sales than Mattel’s Barbie and Hot Wheels. Two Labubu plush bag charms on an LV bag seen during Copenhagen Fashion Week, on August 07, 2025, in Copenhagen, Denmark. Edward Berthelot/Getty Images Pop Mart is also planning to open 10 new locations by the end of the year in the U.S., where it currently has 40 staffed stores, and a mini Labubu for cell phones, which will launch this week, its CEO said Wednesday. The company is popular in China, with more than 40 million collecting “members,” and it even has its own amusement park. It has other lines of toys in addition to Labubu, including Dimoo, Molly, and Skullpanda. But it’s the toys from The Monsters books series, created by Kasing Long, that took off globally. On its website, Pop Mart says the Labubu is “a small monster with high, pointed ears and serrated teeth,” which is a part of the series, inspired by Nordic mythology. Who Founded Pop Mart? Pop Mart was founded by its CEO, Ning, in 2010. The company went public in Hong Kong in 2020. Forbes reports Ning’s net worth is around $26 billion. How Much Is a Labubu? On the Pop Mart website, the toys are sold at around $20 to over $900. There are also keychains and accessories sold for less. If you can even get one, that is. The toys sell out during exclusive drops, and shoppers often wait in long lines at stores. It’s partially due to the company’s viral “blind box” method of packaging, a Kinder Joy-like experience where you don’t know what character you get until you open the box. The plush toy gained popularity on TikTok, and customers call the dolls “cute and affordable.” But viral success came when Lisa from the popular K-pop group, Blackpink, began posting about them on Instagram in 2024. There’s even a name for fakes: “Lafufu.” Related: Daughter’s Viral TikTok Video Saves Her Dad’s Dying Ornament Business Read More

Opinions expressed by Entrepreneur contributors are their own. At Bask Health, we once forced every new patient to download a separate app just to upload their ID. Only 40% of them made it through. Six weeks of development, thousands of dollars spent, and we called it a funnel. That one decision cost us more patients than any Facebook ad ever brought in. Turns out, healthcare has a cart abandonment problem, just like ecommerce. But instead of a forgotten pair of sneakers, it’s unbooked visits, lost revenue and patients who still need help. And unlike a shopping cart, an abandoned patient is a real person who might go untreated. The irony? Most platforms are a few micro-fixes away from major conversion lifts. We’re talking about small, scrappy interventions that boost visit completion rates, no full redesigns required. Fix the friction, finish more visits. Here’s how we sealed the biggest leaks in our patient flow and increased completion by 15%. Related: 5 Simple Ways You Can Decrease Shopping-Cart Abandonment 1. Scare fewer patients at step one First-time users are already skeptical. They’re worried about cost, privacy and whether this whole “online doctor thing” is legit. Add a dense form or legalese about data, and they’re gone. What worked for us: Put a “HIPAA Secure” badge near the call to action Include a one-line promise like: “We never sell or share your info.” Use plain English, not compliance jargon Patients don’t read your privacy policy. But they do feel your tone. So do the work for them. Space your elements clearly. Use icons sparingly. And write like a human. People aren’t comparing you to other clinics. They’re comparing you to Uber and Amazon. Tip: Follow HIPAA’s privacy guidance for what you must, and can, say. Patients feel safer when they know what’s happening. 2. Escalate to live chat before they bail We assumed patients would reach out if they had questions. They didn’t. They just left. Page stalled, visit lost. Here’s what helped: Auto-trigger live chat if users pause at critical fields (like insurance input or ID upload) Escalate from bot to human in under 15 seconds Train reps to reassure, not upsell Live chat isn’t optional anymore. It’s the new front desk. After implementing this flow, we saw a 12% increase in form completions, just from helping people in the moment when they were getting stuck. Make sure your chat tool integrates cleanly with your CRM. Set KPIs: sub-30-second response time, sub-3-minute resolution. If a patient wants care at midnight, don’t make them wait for support until morning. 3. Cut steps like a chef, especially ID uploads Requiring patients to scan their ID in a specific browser? We may as well have asked for a fax. And the worst part? We didn’t know it was broken until a user emailed us three days later. Quick wins: Accept image uploads from phone camera rolls Offer drag-and-drop + file upload options Use OCR tech to auto-fill name and DOB OCR’s identity verification guidance is flexible enough; don’t make it harder than it needs to be. Also: test this flow on iPhones, Androids, tablets and old browsers. Friction hides in tech gaps. The best checkout is one that disappears into the background. Related: 3 Fatal Ecommerce Mistakes You Must Not Make 4. Automate the boring stuff Nobody wants to type their insurance group number at 11 p.m. That’s when they’re finally booking care, and we’re greeting them with paperwork. Here’s what helped: Enable camera capture of insurance cards Use autofill for returning patients Pre-load common insurer names and plan types These changes cut our manual data cleanup by half and improved patient throughput without adding support headcount. Most importantly, they helped people finish the booking while they still had momentum. Automation isn’t about removing humans. It’s about clearing the path so your humans can focus on care, not copy-pasting from a broken webform. 5. Confirm with confidence Our first “success” screen said: Thank you. That’s it. No confirmation number. No next steps. Patients didn’t know if they were actually booked or if they just wasted 15 minutes. Fixes: Add a visible progress bar throughout the flow End with: “You’re confirmed. Here’s what happens next.” Send immediate confirmation via email and SMS with visit details We also added a preview screen that lets patients review, cancel or reschedule their appointment in one click. Empowering the user reduces support tickets and gives them a sense of control. Remember: this is healthcare. An ambiguous checkout creates anxiety. A clear one builds trust. Close the leaks, book more patients We built these fixes after getting burned by our bad assumptions. We didn’t need a brand strategist. We needed friction audits and brutal honesty. Healthcare abandonment isn’t about laziness, it’s about user experience. Your challenge: audit your patient flow this week. Pull the data. Watch users abandon in real time. Where are they dropping? What would it take to lift conversions by just 3%? (That’s often six figures of revenue.) Here’s your cheat sheet: Add visible trust cues upfront Make support accessible instantly Remove unnecessary steps Auto-fill every field you legally can Confirm like you mean it This isn’t about being perfect. It’s about being good enough to get them through the door. Remember: the patient doesn’t care how clever your design is. They care that it works. Healthcare doesn’t need more bells and whistles. It needs less friction. And fewer abandoned carts. Read More

Opinions expressed by Entrepreneur contributors are their own. After three decades in capital markets and entrepreneurial ventures, I’ve learned one hard truth: Most founders wait too long to think about their exit. They’re focused on growing the business, product-market fit, hiring the right people or raising their next round, and understandably so. But here’s the reality: The companies that scale, endure and lead are the ones built with the end in mind. Having an exit mindset doesn’t mean you’re planning to abandon ship. It means you’re architecting your business with intention and strategic foresight. Whether your future includes an IPO, a SPAC merger, a venture-backed acquisition or simply attracting long-term capital, an exit mindset forces clarity. It requires discipline. And it ensures you’re building not just for now but for what comes next. Related: Starting a Business? You Should Already Be Thinking About Your Exit Strategy. Here’s Why. During the Great Recession, I lost everything. Years of work and millions in value disappeared seemingly overnight. That moment was both devastating and instructive. I realized that while I had been focused on growth and momentum, I hadn’t built with durability in mind. I hadn’t built to exit; I’d built to run. Coming back from that loss forced me to rebuild from the ground up and reimagine what success really meant. I leaned into the volatility instead of resisting it, and over time, that shift led me to support other founders navigating the capital markets, helping them structure for growth and prepare for their own exits. I noticed a pattern: The most successful entrepreneurs weren’t necessarily the smartest or the most well-funded. They were the ones who led with clarity, who built their businesses with the intention to exit, whether that meant selling, stepping back or scaling beyond themselves. Exit is a mindset, not a milestone Going public or selling your company shouldn’t be a last-minute decision. It can (and should) take years, as a natural progression of a business built on solid fundamentals. That starts with a clear answer to one question: What are you building toward? If your answer is vague or reactive, it’s time to revisit your strategy. An exit mindset helps you: Build toward investor-grade readiness: This includes predictable revenue, clean cap tables, strong corporate governance and a scalable operating model. Attract the right capital partners: Investors can sense when a business has long-term value versus short-term hustle. Avoid short-term traps: When you’re playing the long game, you’re less likely to overpromise, overhire or overextend. Related: 4 Go-To Moves to Help Start Your Exit Strategy Now Think like a public company (even if you’re not one yet) Entrepreneurs often underestimate the rigor and transparency required to go public or raise institutional capital and often think of an IPO or acquisition as a finish line. But it’s not a finish line, it’s a new starting gate. And the market doesn’t hand out second chances. If you want public markets, investors or strategic acquirers to take you seriously, you need to demonstrate: Financial maturity: Are your books audit-ready? Do you understand your KPI and unit economics? Can you forecast with precision? Strategic clarity: Do you have a clearly articulated long-term vision? Can you tell a compelling growth story? Operational resilience: Have you built processes that scale? Do you have a team that can lead beyond you? I tell the entrepreneurs I work with that the stock doesn’t trade itself. A great business is not the same as a great public company. The companies that perform post-IPO are the ones that prepared for the scrutiny long before the bell rang. Lessons from the frontlines Over the past few years, I’ve seen how volatile and unforgiving the IPO and public markets can be. In 2021, deal flow was booming. In 2022 and 2023, it all but froze. Yet in that same period, a handful of companies thrived. Why? Because they had built with optionality in mind. Take CAVA Group, for instance. In a tough IPO market, they went public in 2023 and saw their stock jump 37% on the first day. That didn’t happen by accident. It was the result of strategic decisions made years earlier: disciplined growth, strong financial performance, well-crafted storytelling, focused leadership and the ability to meet investor expectations. Don’t just raise capital. Rehearse the exit. Too many founders treat fundraising like a finish line. But capital is a tool, not a strategy. If you raise money without a clear exit roadmap, you risk dilution, misalignment, or worse, getting stuck in the middle. Instead, start with the exit in mind. Ask yourself: What would a strategic acquirer find most valuable about my business? If I were to list tomorrow, are my systems, controls and structures ready? Do I have the right team and board to guide me through a real transition? The earlier you ask these questions, the more optionality you create. And in this volatile market, optionality isn’t a nice-to-have. It is your edge. Related: How to Expertly Position Your Business for an Exit Build to exit, lead to endure The paradox is real: The strongest exits come from businesses that aren’t built just to exit. They’re built to endure. They have resilient models, committed teams and founders who lead with transparency and purpose. An exit mindset doesn’t mean you’re pulling back. It means you’re more strategic and leading with vision. It doesn’t mean you’re ready to walk away; it means you’re building something that can outlast you. So, whether you’re on your first round or your fifth, ask yourself: If I had to exit tomorrow, would I be ready? If the answer is no, you’re not alone. The time to start building with that end in mind is now. Read More

Google employees have developed AI that wins gold medals at math competitions — but when it comes to their everyday work tasks, they might need to step it up. Since Google CEO Sundar Pichai stated at an all-hands meeting in July that employees must use AI daily for the tech giant to move forward, the company is reportedly increasing pressure on employees to prove their productivity. Several current employees told Business Insider that their managers have been promoting an AI-first approach by asking workers to demonstrate how they use the technology. Related: ‘No Longer Optional’: Microsoft Staff Mandated to Use AI at Work, According to a New Report The employees further predicted that these demonstrations would likely be factored into performance reviews, the outlet noted. “It’s still predominantly, ‘Are you hitting your sales numbers?” a sales employee told BI about the performance reviews. “But if you use AI to develop new workflows that others can use effectively, then that is rewarded.” However, a Google spokesperson refuted the report and told BI that the company was not considering AI use in performance review evaluations, though it encourages employees to use the technology. Google CEO Sundar Pichai. Photo by Klaudia Radecka/NurPhoto via Getty Images To add to the urgency around AI use at Google, the company’s Engineering Vice President, Megan Kacholia, sent an email to software engineers in June asking them to use AI to level up their coding. Google has urged staff to try vibe coding, or using AI to write code through prompts. The result has been more code written by AI. Pichai said in April that engineers at the company were using AI to generate “well over 30%” of all new code at Google, up from 25% in October. Related: AI Is Already Writing About 30% of Code at Microsoft and Google. Here’s What It Means for Software Engineers. “It seems like a no-brainer that you need to be using it [AI] to get ahead,” a Microsoft employee told BI. Google has also spent billions in recent months to acquire new AI talent. Last month, the company inked a $2.4 billion deal to hire key members of AI coding startup Windsurf, including CEO Varun Mohan and co-founder Douglas Chen. Under the agreement, Google also obtained a nonexclusive license to Windsurf’s AI coding technology. AI is quickly becoming an integral part of the workforce at other tech companies, too. At Salesforce, AI is handling 30% to 50% of work, like software engineering and customer service, while 20% to 30% of new code at rival Microsoft is generated by AI. Google’s parent company, Alphabet, is the fourth-biggest company in the world, with a market value of $2.4 trillion at the time of writing. Join top CEOs, founders and operators at the Level Up conference to unlock strategies for scaling your business, boosting revenue and building sustainable success. Read More

Scan QR code to install app Important DisclaimersThe content provided on the website includes general news and publications, our personal analysis and opinions, and contents provided by third parties, which are intended for educational and research purposes only. It does not constitute, and should not be read as, any recommendation or advice to take any action whatsoever, including to make any investment or buy any product. When making any financial decision, you should perform your own due diligence checks, apply your own discretion and consult your competent advisors. The content of the website is not personally directed to you, and we does not take into account your financial situation or needs.The information contained in this website is not necessarily provided in real-time nor is it necessarily accurate. Prices provided herein may be provided by market makers and not by exchanges.Any trading or other financial decision you make shall be at your full responsibility, and you must not rely on any information provided through the website. FX Empire does not provide any warranty regarding any of the information contained in the website, and shall bear no responsibility for any trading losses you might incur as a result of using any information contained in the website.The website may include advertisements and other promotional contents, and FX Empire may receive compensation from third parties in connection with the content. FX Empire does not endorse any third party or recommends using any third party’s services, and does not assume responsibility for your use of any such third party’s website or services.FX Empire and its employees, officers, subsidiaries and associates, are not liable nor shall they be held liable for any loss or damage resulting from your use of the website or reliance on the information provided on this website.Risk DisclaimersThis website includes information about cryptocurrencies, contracts for difference (CFDs) and other financial instruments, and about brokers, exchanges and other entities trading in such instruments. Both cryptocurrencies and CFDs are complex instruments and come with a high risk of losing money. You should carefully consider whether you understand how these instruments work and whether you can afford to take the high risk of losing your money.FX Empire encourages you to perform your own research before making any investment decision, and to avoid investing in any financial instrument which you do not fully understand how it works and what are the risks involved. Read More

Manufacturing Outlook Dips as Orders Turn Negative The August Manufacturing Business Outlook Survey revealed weaker activity across several key indicators. The general activity index dropped sharply from 15.9 to -0.3, and new orders slipped into negative territory at -1.9 — their first sub-zero reading since April. Shipments also fell to 4.5, and the employment index dropped to 5.9, though it still indicated net hiring. While the average workweek improved slightly, the weakening in orders suggests softer demand across the manufacturing sector. Importantly, 74% of surveyed firms reported no employment change, while only 16% saw an increase. These stagnant conditions may weigh on regional output expectations and could constrain broader industrial performance in Q3. Price Pressures Mount; Firms Eye Competitor Price Hikes Price pressures remain elevated. The prices paid index jumped 8 points to 66.8 — the highest since May 2022 — while prices received rose to 36.1. Firms also lifted their 12-month forward price expectations to 4.1%, up from 3.8% in May, suggesting pricing power remains strong despite economic headwinds. Over half the surveyed firms anticipate rising industry costs within the next six months, with 71.4% expecting competitors to raise prices — and a median expectation that price changes will materialize within three months. While compensation growth expectations eased to 3.5% from 4.0%, higher input and output price expectations may keep inflation indicators elevated in the near term. Market Forecast: Bearish Near-Term Outlook on Slowing Labor and Manufacturing Signals The combination of weakening labor market indicators, declining manufacturing orders, and persistent price pressures paints a cautionary picture. While future expectations in the survey remained positive, current conditions are deteriorating. The near-term outlook for US equities and industrials is bearish, particularly if softening demand collides with sticky inflation, complicating the Federal Reserve’s path on rates. Traders should monitor upcoming employment data and inflation prints closely for confirmation. Read More

A record number of graduates entered a destabilizing labor market, impacted by US tariffs and economic uncertainty. China’s industrial sector has borne the brunt of US tariffs. And the strain doesn’t stop there—factories are feeling the pressure. Manufacturing Sector Under Pressure The S&P Global China General Manufacturing PMI (formerly the Caixin Manufacturing PMI) fell from 50.4 in June to 49.4 in July, crucially dropping below the neutral 50 level. Falling new export orders and weakening domestic demand led manufacturers to cut staffing levels as rising cost pressures impacted profit margins. Increased competition has pressured manufacturers to slash prices while input prices trended higher in July. That squeeze is now rippling into households. Consumer Sentiment and Spending The latest surge in youth unemployment may pressure consumer sentiment further as the economy loses momentum. Rising unemployment and waning consumer sentiment could undermine Beijing’s efforts to boost household spending. Notably, retail sales rose 3.7% year-on-year in July, down sharply from June’s 4.8% increase, despite government efforts to boost spending. Beijing is racing to catch up. Beijing’s Policy Response Despite rising unemployment and softer household spending, Beijing remains focused on boosting domestic consumption. This week, China’s premier Li Qiang held a meeting on the economy, resulting in fresh stimulus pledges. China’s premier vowed to boost spending, stabilize the housing market, and address labor market strains. Addressing youth unemployment could be pivotal given July’s record number of graduates. Beijing could incentivize firms to hire young people and roll out labor reforms aimed at creating opportunities for school leavers. Still, not all sectors are struggling—the services industry shows signs of life. Services Sector Resilience Notably, the S&P Global China General Services PMI rose to 52.6 in July, up from 50.6 in June. Service providers increased staffing levels at the most marked rate since July 2024 on a sharp upswing in new work. July’s private sector PMI trends suggested that China’s transition toward a consumption-led economy had gained traction. Tackling youth unemployment and addressing housing sector woes could lift consumer sentiment. Improving sentiment and less reliance on trade may revive household spending and potentially deliver the 5% GDP growth target. Economic Outlook and Risks Natixis Asia Pacific Chief Economist Alicia Garcia Herrero recently remarked on the need for more government support, stating: “China can reach its 2025 growth target but with even more stimulus and the second half will be tougher. All in all, while the Chinese economy has a greater likelihood of meeting the government’s growth target, there are significant uncertainties down the road. Despite foreseeable headwinds from trade friction and persisting deflation, the government does have more bullets for further stimulus if needed. Therefore, we have revised our forecast of China’s GDP growth to 5% for 2025 and 4.5% for 2026.” Mainland Stock Markets Hit Year-to-Date Highs on Stimulus Hopes On Thursday, August 21, Mainland China’s CSI 300 rallied to a new 10-month high, while the Shanghai Composite Index struck a new 10-year high. Thursday’s gains underscored investor optimism over Beijing introducing a wave of support measures to bolster the economy. However, the CSI 300 and the Shanghai Composite Index remain well below their all-time highs, highlighting retail investor caution. Nevertheless, Mainland China’s equity markets look set to extend their winning streaks to four months in August. An active equity market eyeing historical highs could boost consumer sentiment, particularly if Beijing successfully resolves the housing crisis. Equity Market Impact on Confidence Leading economist Hao Hong recently commented on the equity market trends and stimulus hopes: “China making new decade high, but retail participation is measured, unlike the sharp but transient rally last Sept. As growth slowing, market is betting on renewed policy support. Liquidity is abundant and helps support the market.” He also highlighted the potential significance of the current market recovery on consumer sentiment, stating: “There is no quick fix to boosting household confidence, except for a stock market rebound.” Despite the 90-day trade war truce and existing tariffs on Chinese goods, Mainland equity markets could boost consumer sentiment: CSI 300: +5.66% in August, +9.47% YTD. Shanghai Composite: +5.89% in August, +12.90% YTD. Hang Seng Index: +25.42% YTD, outperforming both Mainland equity markets and the Nasdaq (+9.64% YTD). While trade headlines will continue to influence market sentiment, Beijing’s next stimulus measures remain key. However, delays in policy support or weaker data could threaten to end the rally. Read More

Scan QR code to install app Important DisclaimersThe content provided on the website includes general news and publications, our personal analysis and opinions, and contents provided by third parties, which are intended for educational and research purposes only. It does not constitute, and should not be read as, any recommendation or advice to take any action whatsoever, including to make any investment or buy any product. When making any financial decision, you should perform your own due diligence checks, apply your own discretion and consult your competent advisors. The content of the website is not personally directed to you, and we does not take into account your financial situation or needs.The information contained in this website is not necessarily provided in real-time nor is it necessarily accurate. Prices provided herein may be provided by market makers and not by exchanges.Any trading or other financial decision you make shall be at your full responsibility, and you must not rely on any information provided through the website. FX Empire does not provide any warranty regarding any of the information contained in the website, and shall bear no responsibility for any trading losses you might incur as a result of using any information contained in the website.The website may include advertisements and other promotional contents, and FX Empire may receive compensation from third parties in connection with the content. FX Empire does not endorse any third party or recommends using any third party’s services, and does not assume responsibility for your use of any such third party’s website or services.FX Empire and its employees, officers, subsidiaries and associates, are not liable nor shall they be held liable for any loss or damage resulting from your use of the website or reliance on the information provided on this website.Risk DisclaimersThis website includes information about cryptocurrencies, contracts for difference (CFDs) and other financial instruments, and about brokers, exchanges and other entities trading in such instruments. Both cryptocurrencies and CFDs are complex instruments and come with a high risk of losing money. You should carefully consider whether you understand how these instruments work and whether you can afford to take the high risk of losing your money.FX Empire encourages you to perform your own research before making any investment decision, and to avoid investing in any financial instrument which you do not fully understand how it works and what are the risks involved. Read More

Scan QR code to install app Important DisclaimersThe content provided on the website includes general news and publications, our personal analysis and opinions, and contents provided by third parties, which are intended for educational and research purposes only. It does not constitute, and should not be read as, any recommendation or advice to take any action whatsoever, including to make any investment or buy any product. When making any financial decision, you should perform your own due diligence checks, apply your own discretion and consult your competent advisors. The content of the website is not personally directed to you, and we does not take into account your financial situation or needs.The information contained in this website is not necessarily provided in real-time nor is it necessarily accurate. Prices provided herein may be provided by market makers and not by exchanges.Any trading or other financial decision you make shall be at your full responsibility, and you must not rely on any information provided through the website. FX Empire does not provide any warranty regarding any of the information contained in the website, and shall bear no responsibility for any trading losses you might incur as a result of using any information contained in the website.The website may include advertisements and other promotional contents, and FX Empire may receive compensation from third parties in connection with the content. FX Empire does not endorse any third party or recommends using any third party’s services, and does not assume responsibility for your use of any such third party’s website or services.FX Empire and its employees, officers, subsidiaries and associates, are not liable nor shall they be held liable for any loss or damage resulting from your use of the website or reliance on the information provided on this website.Risk DisclaimersThis website includes information about cryptocurrencies, contracts for difference (CFDs) and other financial instruments, and about brokers, exchanges and other entities trading in such instruments. Both cryptocurrencies and CFDs are complex instruments and come with a high risk of losing money. You should carefully consider whether you understand how these instruments work and whether you can afford to take the high risk of losing your money.FX Empire encourages you to perform your own research before making any investment decision, and to avoid investing in any financial instrument which you do not fully understand how it works and what are the risks involved. Read More