Category: Finance

  • Glomo Achieves Visa Principal Membership, Becoming India’s First Non-Bank Acquirer on the Network

    Glomo Achieves Visa Principal Membership, Becoming India’s First Non-Bank Acquirer on the Network

    Glomo, a regulated payment service provider based at GIFT IFSC in Gujarat, has announced that it is now a Visa Principal Member. This milestone makes Glomo the first non-bank acquirer in India and the first GIFT IFSC-licensed payment service provider to join the Visa network directly.

    With this membership, Glomo can process Visa-powered card payments for merchants on its platform without relying on intermediary acquirers. This direct access gives the company greater control over transaction approvals, fraud monitoring, risk management, and dispute handling through Visa’s infrastructure. The move is expected to accelerate merchant onboarding and payment processing, particularly for businesses with cross-border needs such as exporters, AI platforms, SaaS companies, financial services firms, and educational platforms.

    Benefits for Merchants and the Payments Ecosystem

    The direct acquiring arrangement reduces the number of intermediaries in cross-border card payments, which often create friction in settlement, approvals, and risk management. For merchants, this translates into more predictable settlement times, improved payment performance, and a smoother experience as they expand internationally. Glomo also plans to use its membership to enhance card infrastructure capabilities, including the development of issuing products.

    Akash Arun, Founder and CEO of Glomo, commented: “Cross-border card payments often pass through multiple intermediaries, which can create friction across settlement, transaction approvals, risk management and dispute handling. Becoming Visa’s Principal Member gives us direct control over these critical parts of the payment chain. For merchants, this can translate into more predictable settlement, improved control over payment performance and a more consistent experience as they expand across markets. It is also an important validation of the financial infrastructure being built at GIFT IFSC.”

    Rishi Chhabra, Country Manager for India at Visa, added: “We are pleased to welcome Glomo as a Principal Member of the Visa network. As Indian businesses expand across borders, trusted and secure payment infrastructure becomes critical to enabling commerce that is seamless, reliable and resilient. Visa’s global payments network, built on decades of trust, security and scale, will play a crucial role in supporting this evolution.”

    Strategic Implications for India’s Cross-Border Payments

    By managing acquiring directly, Glomo can optimize merchant onboarding, payment processing, settlement, and risk policies. It also helps reduce unnecessary foreign exchange conversion costs and limitations associated with intermediary-led processing. The announcement comes at a time when more Indian businesses are seeking robust payment infrastructure that can handle multiple currencies, banking systems, and regulatory requirements.

    About Glomo

    Glomo (Glomo Payments IFSC Private Limited) is the first regulated payment service provider at GIFT City, building financial infrastructure for global businesses. It offers a unified platform for collecting, holding, disbursing, and managing funds across multiple currencies. The platform integrates global payments, payouts, treasury management, identity verification, AML screening, and outward remittance through a single compliance-first stack. Glomo partners with over 18 large banks and non-banks to provide superior payment capabilities to enterprise customers. Authorized by IFSCA and PCI-DSS certified, Glomo is designed for businesses that need compliant, programmable cross-border money movement.

    For more information, visit www.glomopay.com.

  • FTSE 100 Opens Lower Amid Mixed UK Jobs Data and Falling Oil Prices

    FTSE 100 Opens Lower Amid Mixed UK Jobs Data and Falling Oil Prices

    The FTSE 100 opened 22 points lower at 10,502 on Tuesday as investors weighed a proposed 10-day US-Iran ceasefire against fresh attacks in the Strait of Hormuz. Stronger-than-expected UK jobs data and lower June public borrowing offered a mixed picture for markets.

    Market Overview

    Brent crude futures fell 0.54% to $88.74 per barrel, while US West Texas Intermediate (WTI) declined 0.19% to $82.32 per barrel. Sterling strengthened to $1.3446 early Tuesday, up from $1.3418 at the London equities close on Monday. Against the euro, sterling rose to 1.1767 from 1.1755 a day earlier.

    Gainers & Losers

    On the upside, Babcock International Group surged 6.65% to £11.07, Antofagasta advanced 3.58% to £35.89, and BAE Systems gained 3.17% to £19.35. Endeavour Mining climbed 3.15% to £35.32, while Fresnillo rose 2.89% to £25.28. Glencore also added 2.19% to £5.23.

    On the downside, Games Workshop Group fell 1.44% to £198.50, London Stock Exchange Group declined 1.31% to £87.28, and Unilever slipped 1.19% to £45.84. Diploma lost 1.02% to £72.95, Admiral Group dropped 1.51% to £35.22, and Next edged 0.61% lower to £147.90.

    UK Unemployment Declines

    UK unemployment fell to 4.9% in the three months to May, down 0.1 percentage points on the quarter and below the 5% forecast, the Office for National Statistics (ONS) reported Tuesday. Employment rose by 148,000 in the quarter, well above analysts’ estimate of 80,000, pushing the employment rate to 75.1%. Average weekly earnings grew 4.3% year-on-year, just shy of the 4.5% forecast, while pay excluding bonuses rose 3.4%, in line with expectations.

    Private-sector regular pay growth was 2.9%, compared with 5.5% in the public sector. Vacancies fell by 7,000 to 712,000 in the second quarter.

    MHA’s Pre-Tax Profit Rises

    Professional services firm MHA posted double-digit revenue growth in its first year as a London-listed company. The group’s pre-tax profit jumped 11% to £39 million as revenue grew 12% to £251 million. Over the past year, listed client fees surged 16%, driven largely by 15% organic growth within that client base. Since its IPO, MHA has completed two key acquisitions: Baker Tilly South-East Europe and MS UAE in the Middle East. The firm aims to double its current size, targeting annual revenues of over £500 million.

    Key Fiscal Target Missed

    Official data on Tuesday showed the current budget deficit exceeded forecasts from the Office for Budget Responsibility (OBR). The ONS reported that borrowing to fund day-to-day public sector spending was £11.8 billion in June, around £1.3 billion above the OBR’s estimate. Government borrowing was slightly lower than expected at £16 billion in the month, though total borrowing in the current financial year reached £57.6 billion. Public sector debt was higher than the same point last year at 94.9% of GDP.

    Global Market View

    In the US, the S&P 500 fell on Monday as oil prices advanced, dropping 0.19% to close at 7,443.28. The Nasdaq Composite lost 0.05%, and the Dow Jones Industrial Average fell 307.16 points, or 0.59%. In Asia, Tokyo’s Nikkei 225 rose 3.26% to 66,232.19, while China’s Shanghai Composite advanced 1.79%. Hong Kong’s Hang Seng fell 0.094%, and South Korea’s Kospi gained 3.56%. In India, both the Nifty 50 and the Sensex fell by 0.33% and 0.41%, respectively.

  • How Data-Driven Security Is Transforming Online Payment Safety for Businesses and Consumers

    How Data-Driven Security Is Transforming Online Payment Safety for Businesses and Consumers

    With online payment transactions moving faster and more efficiently than ever, ensuring their safety for all users is a top priority. By examining how big data is leveraged across various industries, we can see how a secure, real-time infrastructure has been maintained. This article explores the shift from static fraud filters to adaptive risk scoring, the role of iGaming platforms in payment security, and the rise of behavioral biometrics.

    From Static Fraud Filters to Adaptive Risk Scoring

    Traditional payment systems relied on rigid, binary rules—for instance, declining a transaction if the billing address didn’t match the IP. Today, sophisticated data engines aggregate information from multiple sources, allowing machine learning models to generate real-time analytics. These models consider factors like historical user velocity and network latency, giving genuine users a frictionless experience tailored to their payment behavior. Adaptive risk scoring has become popular in cross-border e-commerce, digital wallets, and the on-demand economy, where instant, low-value transactions are common.

    iGaming Platforms Analyze Payment Data to Verify Bonus Eligibility

    In the iGaming sector, operators must balance speed with security due to high transaction volumes and often large sums. They instantly verify details from various payment methods—bank cards, e-wallets, or bank transfers—using fraud prevention techniques like device fingerprinting and pre-authorization, alongside KYC processes and constant monitoring. A critical moment occurs when new players claim welcome bonuses. To prevent multiple-account abuse, operators immediately cross-reference payment details against other accounts linked to the same method, ensuring bonuses go only to eligible users.

    Behavioral Biometrics Analyze User Interactions

    Beyond where money comes from, how payment details are entered is now crucial. Advanced financial platforms map user interactions with behavioral biometrics during checkout. They analyze keystroke dynamics and touchscreen metrics to distinguish human users from bots. Additionally, delays in mobile transactions can be cross-referenced to flag potential payment scams where the user is coerced. These methods ensure online payments remain fast and secure, even as the behind-the-scenes data work goes unnoticed.

    All these approaches demonstrate how smart data use helps maintain speed and security in online payments, even when customers are unaware of the intricate assessments happening in real time.

  • Indian Stock Market Ends Lower: Sensex Drops 316 Points, Nifty Closes at 24,172 as IT and Financial Stocks Weigh

    Indian Stock Market Ends Lower: Sensex Drops 316 Points, Nifty Closes at 24,172 as IT and Financial Stocks Weigh

    Indian equity markets ended Tuesday’s session on a subdued note, with benchmark indices witnessing a volatile trading day before recovering most of their intraday losses. Investors remained cautious amid the ongoing June-quarter earnings season, global geopolitical developments, and uncertainty surrounding crude oil prices. While select financial and IT stocks attracted buying interest, weakness in banking and healthcare counters kept the broader market range-bound.

    At 3:00 pm, the Sensex was at 77,392.41, down 316.11 points or 0.41% lower. The Nifty was at 24,172.30, down 65.65 points or 0.27% lower.

    Top Gainers Lead a Mixed Session

    The buying was seen in selected financial and tech stocks, wherein the day’s biggest gainer turned out to be Shriram Finance, which was up more than 2.5 percent. In addition to this, HCLTech and Bajaj Finserv were also seen in the list of top gainers of the day.

    Banking and Healthcare Stocks Weigh on the Market

    On the flip side, the HDFC Bank was the worst performer in terms of affecting the Nifty performance, followed by Dr. Reddy’s Laboratories, Max Healthcare, Cipla, TCS, Infosys, and SBI. The profit-taking in banks and pharmaceuticals companies prevented the index from closing in positive territory.

    Also Read: Stock Market Update: Nifty Opens 0.09% Lower, Sensex Falls 91.25 points Amid Tensions in the Middle East

    What Today’s Market Trend Signals

    The trading activity on Tuesday also highlighted a trend that has become very apparent in the earnings season; the markets are being moved more on an individual stock basis rather than as a result of any sectorial momentum. Instead of following the indices, investors have been buying selective stocks with potential for earnings growth while selling those that look expensive.

    The erratic performance in the stock market is also a function of continued uncertainty surrounding global developments such as the crude oil prices and geopolitical tensions, which continue to pose risk for emerging economies like India. However, the fundamentals domestically will continue to offer support to keep any correction at bay.

    In the coming days, the direction of the market may well depend on earnings and management statements, FII flows, and global macroeconomic signals. Till then, volatility will rule the markets and the action will be largely specific to stocks.

    Disclaimer: Analytics Insight does not provide financial advice or guidance on cryptocurrencies and stocks. Also note that the cryptocurrencies mentioned/listed on the website could potentially be risky, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. This article is provided for informational purposes and does not constitute investment advice. You are responsible for conducting your own research (DYOR) before making any investments. Read more about the financial risks involved here.

  • Big Tech’s Revenue Per Second: How Amazon, Apple, and Others Generate $68,000 Every Moment

    Big Tech’s Revenue Per Second: How Amazon, Apple, and Others Generate $68,000 Every Moment

    Every second, the world’s largest technology companies collectively generate nearly $68,000 in revenue, a staggering figure that puts their financial scale into perspective. Amazon, Apple, Alphabet, Microsoft, and Meta—the five US tech giants ranked by trailing twelve-month revenue through March 2026—drive this rapid cash flow through distinct business models: cloud infrastructure, digital advertising, enterprise software, hardware ecosystems, and online retail.

    Why Revenue Per Second Matters

    Market cap and headline revenue are common benchmarks, but revenue per second reveals how quickly money moves through a business. Calculated by dividing trailing twelve-month (TTM) revenue by 31,536,000 seconds in a year, this metric stays current—unlike stale annual reports. Critically, revenue is not profit; it’s income before costs, R&D, marketing, and taxes. A company can have high revenue per second yet thin margins, a distinction often overlooked in coverage.

    Company-by-Company Breakdown

    Amazon

    Amazon leads by a wide margin, thanks to its three-tiered model: retail (thin margins), AWS cloud (roughly 30% operating margin), and advertising (near-pure margin). Together, they outpace rivals even in categories where Amazon isn’t the largest player.

    Apple

    Apple’s speed comes from maximizing existing customers. Services like the App Store, Apple Music, iCloud, and Apple TV+ now boast gross margins above 70%. Each device sold becomes a platform for recurring services revenue.

    Alphabet

    Alphabet’s revenue flows from a live auction. Every search query triggers real-time bidding among advertisers, with Alphabet taking a cut. Billions of daily queries translate into constant per-second revenue tied to auction volume.

    Microsoft

    Microsoft benefits from structural stickiness. Enterprise customers reliant on Azure or Microsoft 365 face high switching costs, turning contracts into recurring compounding revenue. AI tools like Copilot further deepen that dependency.

    Meta

    Meta doesn’t sell products to its 3.56 billion daily active users; it sells access to their attention via ad inventory. Average ad prices rose 12% year-over-year while impressions climbed 19%, meaning Meta earns more per unit of attention and more units overall.

    What the Numbers Really Reveal

    Revenue per second says nothing about margin. Amazon’s TTM net income is about $90.8 billion on $743 billion revenue, a far lower conversion than Apple’s $451.4 billion revenue yielding over $100 billion profit. Two companies can move money at similar speeds but land in very different profit positions. The underlying business mechanism—ad auction, subscription, or cloud contract—matters far more than the per-second figure itself.

    Final Thoughts

    Two companies can match revenue speed yet have almost nothing in common underneath. One lives off subscriptions, another off cloud contracts, another off ad auctions in an ecosystem users rarely leave. The number grabs attention, but the differences underneath explain everything.

  • BASF Q2 Earnings Surpass Forecasts as Coatings Sale Boosts Profit; Abishai Financial Asia Analyzes Revised Outlook

    BASF Q2 Earnings Surpass Forecasts as Coatings Sale Boosts Profit; Abishai Financial Asia Analyzes Revised Outlook

    BASF delivered a strong second-quarter performance, clearing consensus estimates by a wide margin and raising its full-year guidance even as the company adopts a more cautious economic outlook. Adjusted EBITDA reached $2.7 billion, above the $2.4 billion consensus and the $1.8 billion reported a year earlier. Net profit surged to $4.7 billion from $90 million, driven by a $4.4 billion pre-tax gain from the sale of its coatings business to Carlyle.

    Quarterly sales came in at $19.6 billion, a 16% year-over-year increase and ahead of the $18.8 billion analysts had expected. Pricing contributed 11 points of the growth, volume added 7 points, while currency and portfolio effects each reduced a point. Strong automotive and construction demand supported cost pass-through.

    Adjusted EBITDA exceeded consensus across all segments except Surface Technologies. Reported EBITDA was approximately $2.3 billion after special charges. The coatings divestiture, now completed, is expected to incur a mid triple-digit million-dollar tax charge. According to Daniel Coventry, Director of Private Equity at Abishai Financial Asia, “the profit line flatters a quarter that was already improving on its own merits.”

    Segment performance was mixed: Materials, Industrial Solutions, and Agricultural Solutions exceeded forecasts; Nutrition and Care slightly surpassed estimates; while Chemicals and Surface Technologies fell short. Surface Technologies struggled due to the absence of prior catalyst gains, weaker Battery Materials earnings from lapsed subsidies, and the exit from Brazilian decorative paints.

    Cash generation was more cautious, with free cash flow turning negative to $0.2 billion from positive $0.6 billion a year earlier, as raw material costs absorbed working capital. Operating cash flow fell to $0.6 billion from $1.8 billion, and capital expenditure held at $0.8 billion.

    Management raised full-year adjusted EBITDA guidance to $7.9 billion to $8.8 billion, up from $7.1 billion to $8.0 billion, and nearly 17% above the previous year’s $7.5 billion. The consensus stood at $8.3 billion. Free cash flow guidance remained at $1.7 billion to $2.6 billion, and capital expenditure at $3.9 billion. Coventry described the upgrade as “delivered without loosening a single discipline on the balance sheet.”

    However, macroeconomic assumptions were trimmed: GDP growth forecast lowered to 2.5% from 2.7%, industrial production to 2.0% from 2.3%, and chemical production to 1.8% from 2.4%. The oil price assumption was raised to $87 per barrel from $70.7.

    The second-half outlook remains unusually uncertain, with the key risk being negotiations between the United States and Iran over access to the Strait of Hormuz. A prolonged closure could disrupt feedstock supply and demand, while a timely settlement could boost chemical demand. BASF maintains that neither individual risks nor their combined weight threaten its continued existence.

    Liquidity remains strong, with cash and equivalents of $3.6 billion at the end of the quarter, a $13.6 billion commercial paper program, and a $6.8 billion standby facility maturing in several years. Credit ratings from S&P, Moody’s, and Fitch are stable at A-/A-2, A3/P-2, and A/F1, respectively. Capital returns continue alongside portfolio pruning, with a buyback of up to $1.7 billion and approximately $912 million in Wintershall Dea receipts collected earlier in the year. Coventry noted that the balance sheet is “built to absorb a rougher second half rather than to chase it.”

    In summary, the quarter reflects a selective recovery, with strength in Materials, Agricultural Solutions, and Industrial Solutions offsetting weakness in Surface Technologies and Chemicals. The coatings gain dominated reported profit, capital discipline remains intact, and softer growth assumptions inject uncertainty. The Strait of Hormuz remains the key swing variable for feedstock costs and demand. Abishai Financial Asia continues to monitor segment trends, cash generation, and macroeconomic revisions.

    About Abishai Financial Asia

    Abishai Financial Asia Pte. Ltd. (UEN: 201016239E) is a Singapore-based asset manager focused on a research-first approach to capital allocation. Its strategy emphasizes risk-aware compounding in public markets, combining active equity selection, bottom-up analysis, and disciplined rebalancing with overlay tools such as systematic tilts, opportunistic hedging, and drawdown-aware controls. Governance relies on macro-aware risk budgeting with explicit limits, exposure and concentration guardrails, liquidity filters, stress testing, and transparent attribution. ESG considerations are incorporated where financially material. The firm is also exploring compliant product wrappers and distribution routes that may, subject to suitability criteria, extend selected solutions to retail-qualified investors over time. For more information, visit abishai.com. Media inquiries can be directed to Peng Joon at p.joon@abishai.com.

  • How AI Is Revolutionizing Financial Fraud Detection in Banking

    How AI Is Revolutionizing Financial Fraud Detection in Banking

    Online fraud is growing as more people use digital banking and online payments. AI helps banks find suspicious transactions before criminals can steal money. Human experts are still needed because AI cannot stop every type of fraud on its own.

    Banking has become much easier over the last few years. With the invention of new systems like UPIs and internet banking, people can now transfer money, pay bills, shop online, and even apply for loans without visiting a bank. Everything happens in just a few clicks.

    Unfortunately, criminal activities also have evolved over the years. These fraudsters don’t rely on stolen cards or fake signatures; now they have other ways to scam people, including fake websites, scam messages, copied identities, and even AI-made voices. The increasing number of financial scams has put banks under pressure to maintain transparency. Every day millions of transactions happen, and finding one or two fake among them is next to impossible, at least manually. Older security systems mostly worked on fixed rules. Once criminals learned those rules, they found new ways to avoid them.

    This is where AI is making a difference. Instead of checking only one or two details, AI studies many things at the same time. It looks at spending habits, login locations, devices, and transaction history. If something looks unusual, it reacts within seconds.

    The Evolution of Financial Frauds Over the Years

    Before looking at how AI works, it is important to understand how financial fraud has changed in recent years. Online fraud has become more common because digital banking is now part of everyday life. One of the biggest threats is phishing. Criminals send fake emails, text messages, or links that look real. Once people enter their passwords or banking details, the criminals gain access to their accounts.

    Identity theft is another major problem. Personal information is stolen and then used to open bank accounts, take loans, or make purchases in someone else’s name. Payment fraud has also increased. Criminals use stolen banking details to make online payments without the account owner’s knowledge. Credit card fraud continues to affect millions of people every year. A stolen card number can be enough for someone to shop online before the owner notices anything.

    Banks also deal with account takeovers, fake loan requests, business email scams, and money laundering. Criminals keep changing their methods, making it harder for old security systems to keep up.

    How AI Is Helping Banks Stop Fraud Faster

    The use of AI is changing how banks protect customers. New technologies allow banks to prevent fraud even before it hits customers and causes unauthorized transactions. The biggest strength of using AI is its speed. AI can study thousands of transactions in a few seconds. It checks where the payment came from, which device was used, how much money was spent, and whether the activity matches the customer’s normal behavior.

    For example, if a customer generally uses their debit or credit card in Delhi and suddenly makes a large payment from another country shortly after, AI will quickly notice the unusual pattern and may stop the payment instantly. It may even ask the customer to confirm the transaction before allowing it.

    The next advantage of AI is that these systems keep learning. Every fraud case helps the systems understand new tricks used by criminals. This makes the systems better over time. Another undeniable advantage is fewer false warnings. Older systems often block genuine payments, marking them as scams. AI studies customer habits more carefully, so it is less likely to stop a normal transaction.

    Additionally, AI is used in banks for customer verification. Face recognition, fingerprint scans, and voice checks generally help confirm that the right person is handling the account. Some banks even use AI to detect fake identity documents when opening new accounts. Customer support has improved too. AI-powered chatbots can answer questions, report suspicious activity, and help customers at any time of the day. Even with all these improvements, people remain an important part of the process. Security experts still investigate difficult cases and make important decisions that AI cannot handle alone.

    Why It Matters

    As criminals use AI to create smarter scams, fake voices, and realistic messages, banks also need stronger AI systems to protect customers. Better technology and careful users will both be needed to reduce financial fraud in the future.

    Smarter Security Will Shape the Future of Banking

    Financial fraud is not going away. Criminals will continue finding new ways to target people as technology becomes more advanced. Banks know they can’t rely on old security systems anymore. AI helps them detect fraud faster, reduce losses, and improve their customers’ safety. Each new fraud case helps improve AI’s ability to detect future attacks. The future of banking will be shaped by powerful technology and clever users working together. AI is proving to be a powerful defense against financial fraud, and its role will continue to increase in the coming years.

    Frequently Asked Questions

    1. What is AI fraud detection? AI fraud detection uses artificial intelligence to find suspicious banking activity before money is stolen.
    2. How does AI detect financial fraud? AI studies customer behavior, transaction history, devices, and locations to identify unusual activity.
    3. Can AI stop phishing scams? AI can detect many phishing attempts, but people should still avoid clicking unknown links or sharing personal information.
    4. Does AI replace bank security teams? No. AI helps detect fraud quickly, while security experts investigate difficult cases and improve protection.
    5. Why is AI becoming important in banking? AI helps banks detect fraud faster, reduce false alerts, improve customer safety, and respond to new scam methods.
  • Tesla (TSLA) Technical Analysis: Bearish Pressure Mounts as Stock Tests Critical $368 Support

    Tesla (TSLA) Technical Analysis: Bearish Pressure Mounts as Stock Tests Critical $368 Support

    Tesla (TSLA) continues to face significant selling pressure, with the stock trading near $369.56 and exhibiting a clear bearish trend on its 30-minute chart. A combination of weak moving averages, low Relative Strength Index (RSI), strong selling volume, and repeated lower highs suggests that downside momentum remains intact. The $368–370 zone now serves as a critical support area that bulls must defend to prevent further declines.

    Key Technical Takeaways

    • Tesla is forming consistent lower highs and lower lows, confirming a bearish trend.
    • The RSI is near 24.67, indicating weak momentum and an oversold condition.
    • Immediate support lies at $368–370, while resistance levels are at $376 and $386.

    Price Action Remains Weak

    On the 30-minute chart, Tesla’s price action shows a steady series of lower highs and lower lows. Every attempted recovery fails to surpass the previous high, allowing sellers to regain control quickly. This pattern keeps the stock under persistent downward pressure as the latest trading session concludes.

    Moving Averages Signal Continued Weakness

    The moving averages reinforce the bearish outlook. The stock consistently trades below both the short-term and long-term moving averages, with the shorter average positioned below the longer one—a classic bearish signal. Each minor rally stalls at these moving averages, which now act as resistance rather than support. Until TSLA closes decisively above these levels, the trend remains negative.

    Bollinger Bands Highlight Downside Volatility

    Bollinger Bands reveal heightened volatility during sharp price moves. Earlier sessions featured wide bands after large declines, followed by a period of contraction before another selling wave. The latest candles are hugging the lower Bollinger Band, confirming that sellers retain control. While price near the lower band can occasionally trigger a short-term bounce, strong bearish trends often keep the stock pinned near this zone for extended periods.

    Volume Confirms Bearish Dominance

    Volume analysis supports the bearish narrative. Large red candles appear with elevated trading volume during sharp declines, indicating strong seller participation. Although green candles appear intermittently, their associated volume is significantly lower than selling volume. As a result, each recovery attempt loses momentum quickly, and the stock fails to build any lasting rebound.

    RSI Signals Oversold but Not Reversal

    The RSI stands near 24.67, well below the neutral 50 level and close to the oversold threshold of 30. While an oversold reading can sometimes precede a short-term bounce, it does not confirm a trend reversal. A sustained recovery would require stronger price action, higher buying volume, and a move above key resistance levels.

    Price Structure Favors Sellers

    The chart shows multiple failed recovery attempts. After an initial drop, Tesla attempted to climb back toward $415–420 before sellers returned. Another rally near the middle of the chart also stalled below the prior high. This series of lower peaks confirms that bullish momentum continues to fade, with sellers defending each resistance zone effectively.

    Key Support and Resistance Levels

    • Support: $368–370 – The stock has found temporary stability here, but repeated tests weaken this level. A breakdown below this zone could trigger further downside.
    • Resistance 1: $376 – Near the short-term moving average.
    • Resistance 2: $386 – Where the longer-term moving average and previous price congestion converge.

    A strong close above both resistance levels would improve the technical outlook and could signal that buyers are regaining control.

    Overall Outlook

    The overall technical picture remains bearish. Lower highs, lower lows, weak moving averages, strong selling volume, and a low RSI all point to continued downside pressure. Tesla remains one of the most volatile large-cap technology stocks, and factors such as earnings reports, EV demand, market sentiment, economic data, and regulatory updates can rapidly shift price direction.

    For now, the chart continues to favor sellers. A more constructive outlook would require a sustained move above the key resistance levels, supported by higher buying volume and improving momentum. Until then, downside risk remains the dominant theme.

    Frequently Asked Questions

    1. What is the current trend for Tesla stock? Tesla remains in a bearish trend with consistent lower highs and lower lows.
    2. What does the RSI indicate? The RSI near 24.67 reflects weak momentum and an oversold condition.
    3. What is the nearest support level? The closest support zone is around $368–370.
    4. Which resistance levels are important? Immediate resistance is near $376, followed by stronger resistance around $386.
    5. What could improve Tesla’s technical outlook? A sustained move above key resistance levels with stronger buying volume could signal a positive trend change.
  • Meesho Denies GST Allegations, States No SEBI Notice Received

    Meesho Denies GST Allegations, States No SEBI Notice Received

    Meesho has denied allegations concerning its Goods and Services Tax (GST) treatment, following reports that proxy advisory firm InGovern had asked the Securities and Exchange Board of India (SEBI) to review the company’s tax practices. The e-commerce platform clarified that it has not received any notice or communication from SEBI or any other regulatory body.

    The controversy emerged after ET Now reported that InGovern raised concerns about Meesho’s GST treatment. The representation to SEBI reportedly highlighted potential financial, disclosure, and regulatory risks linked to the company’s tax position. However, there is no confirmation that SEBI has initiated an investigation or requested clarification from Meesho.

    A Meesho spokesperson stated, “Meesho rejects the claims in this representation, which reflects no finding by SEBI or any tax authority. We have not received any communication from SEBI or any regulator on this matter.” The spokesperson added that the company remains confident in its tax position, asserting that its GST treatment complies with the existing legal framework and that it continues to meet all disclosure requirements.

    Meesho also questioned the authenticity of the documents attached to the representation. According to the company, the sample invoice included in the complaint appears to belong to an Amazon employee whose LinkedIn profile identifies the person as a finance manager. This raises questions about the credibility of the supporting material.

    The issue arises at a time when Meesho is already contesting a separate GST demand of Rs. 14.29 crore. Despite the latest allegations, the company reiterated that it has received no communication from any regulator. SEBI has not yet issued any public statement on the matter.

  • London Stock Exchange to Launch Overnight Trading Platform LSE 24 in 2027

    London Stock Exchange to Launch Overnight Trading Platform LSE 24 in 2027

    The London Stock Exchange (LSE) has announced plans to launch a new overnight trading platform called LSE 24 in the first half of 2027. The initiative aims to provide global investors with extended access to exchange-traded products (ETPs), offering greater flexibility and enhanced liquidity across different time zones.

    LSE 24 will operate as a separate trading venue, with sessions running from 5:00 PM to 7:50 AM GMT, including a 30-minute intermission at 6:30 PM and 7:00 PM for end-of-day processing. The main exchange will continue its regular trading hours from 8:00 AM to 4:30 PM. Initially, the platform will focus on ETPs that track UK and US equity indices, with potential expansion to other asset classes in the future.

    The move comes as global exchanges increasingly extend their trading hours to meet investor demand for round-the-clock access to financial markets. Nasdaq is planning to expand trading to 23 hours on weekdays, while CME already offers 24-hour trading for cryptocurrency futures and options. LSE’s decision reflects a broader trend toward continuous market access, particularly driven by retail investors from Asia who seek the same flexibility as cryptocurrency markets provide.

    By enabling trading outside regular hours, LSE 24 allows investors to respond to overnight news and events, manage risk more effectively, and participate in global markets regardless of their time zone. The exchange expects the platform to strengthen its competitive position and attract a wider range of international participants.