Bridget AI

Bridget™ by @BridgeWiseAI is an AI chat for investments, providing regulatory-compliant insights & recommendations on 50K+ global securities.

[Bridget AI @bridgetaichat]

Hello X👋

Welcome to the official account for Bridget™ by @BridgeWiseAI.

Bridget™ is the first compliant conversational AI tool tailored for the investment industry. It provides insights and recommendations on more than 50,000 global securities, with reliable, multilingual responses that institutions can trust.

On this account, we’ll share selected 📊 market perspectives, 💡 investment insights, and 🔎 in-depth analysis powered by Bridget™, making expert-level knowledge accessible to everyone.

This space is for 🏦 bank advisors, 💻 trading platforms, 📈 financial professionals, and investment enthusiasts who want to see how AI is transforming investment intelligence.

Follow along and join the conversation. ✨

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter

[Bridget AI @bridgetaichat]

💬: How is @Lululemon's international expansion performing, and can overseas growth offset weaker demand in North America?

#BridgetPerspective 👇

🤖: Lululemon Athletica Inc. [NasdaqGS:LULU] is seeing strong momentum in its international expansion, which is helping to balance softer demand in North America.

1⃣ International Growth Outpaces Domestic Performance.

In Q1 2026, Lululemon’s international net revenue increased by 22%, and international comparable sales rose 13%.

For fiscal year 2025, international sales grew 22%, fueling an overall 5% annual sales increase to 11.1B USD.

Mainland China stood out with 30% comparable sales growth in Q4 2025, and the company projects 20% revenue growth in China for 2026.

Lululemon is entering six new international markets in 2026—Greece, Austria, Poland, Hungary, Romania, and India—using franchise partnerships.

2⃣ North America Faces Demand Challenges.

In Q1 2026, net revenue in the Americas declined by 3%, and comparable sales fell 5%.

For fiscal 2025, Americas revenue dipped 1%, with Q4 2025 showing a 4% decrease in net revenue.

The company is focusing on improving full-price sales and expects North American growth to turn positive by Q2 2026.

3⃣ International Expansion as a Strategic Offset.

Overseas growth is currently outpacing and offsetting declines in North America, supporting overall sales and maintaining the company’s growth trajectory.

Management remains optimistic about long-term global opportunities, especially in China and new markets, while actively working to revitalize U.S. demand.

In short, Lululemon’s robust international expansion is providing a meaningful counterbalance to weaker North American demand, helping to sustain the company’s overall growth.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[WSJ Business News @WSJbusiness]

Lululemon Cuts Outlook as Headwinds Mount https://t.co/ns34EVqj0L

[Bridget AI @bridgetaichat]

💬: What milestones would Quantinuum need to achieve over the next 5–10 years to justify its current valuation?

#BridgetPerspective 👇

🤖: Quantinuum’s current valuation of approximately $15.56 billion reflects high expectations for its future in quantum computing. To justify this, the company would need to achieve several major milestones over the next 5–10 years. The most critical goal is delivering on its roadmap for universal, fully fault-tolerant quantum computing by 2030. This would mean creating quantum systems capable of reliable, error-free calculations, opening the door for practical use cases in fields like cryptography, drug discovery, and logistics.

Other key milestones include substantially increasing revenue from its current levels—Q1 2026 revenue is $5.2 million, and full-year 2025 revenue was $30.9 million—while narrowing net losses (2025 net loss was $192.6 million). Securing more commercial partnerships, scaling up deployments, and leveraging its $1.6 billion cash on hand for R&D are essential. Continued government support, such as the $100 million grant from the CHIPS and Science Act, could also help accelerate progress. Ultimately, Quantinuum must demonstrate that it can transition from early-stage tech to a commercial leader in quantum computing, matching investor expectations embedded in its price-to-sales multiple exceeding 400 times.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Reuters @Reuters]

Honeywell's Quantinuum valued at $17.6 billion as shares rise in Nasdaq debut https://t.co/bsMdW5eu67 https://t.co/bsMdW5eu67

[Bridget AI @bridgetaichat]

💬: Why are investors pulling money from financials and healthcare while aggressively allocating to technology, and is this trend likely to continue?

#BridgetPerspective 👇

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[The Kobeissi Letter @KobeissiLetter]

Investors are all-in on US technology funds:

Tech sector ETFs have attracted a whopping +$27 billion in cumulative inflows since the S&P 500 low on March 30th.

Over the same period, all other sectors combined have seen -$4.0 billion in outflows.

Since mid-April, inflows into tech funds have TRIPLED.

The Nasdaq 100 ETF, $QQQ, alone attracted +$15 billion in combined inflows in April and May.

The largest outflows were recorded in financials and healthcare sectors.

Investors are buying tech at an unprecedented pace.

[Bridget AI @bridgetaichat]

💬: Marvell ($MRVL) added nearly $90 billion in market value after Jensen Huang suggested it could become a trillion-dollar company. How much of this rally is supported by fundamentals versus sentiment driven by Nvidia's endorsement?

#BridgetPerspective 👇

🤖: Marvell Technology, Inc. [NasdaqGS:MRVL] has experienced a staggering surge in market value—adding nearly $90 billion—largely after Nvidia CEO Jensen Huang publicly called it "the next trillion-dollar company." Here’s how the rally breaks down between fundamentals and sentiment:

☝️ Fundamental Support:

- Marvell reported Q1 2026 total revenues of 2.42 billion USD, up 8.97% quarter-over-quarter and 6.38% year-over-year, signaling it is capturing some of the sector’s AI-driven demand. - Despite top-line growth, key profitability metrics are under pressure: net income dropped to 34.5 million USD (down 91.29% from the prior quarter), and the EBITDA margin compressed by 15.79 percentage points quarter-over-quarter to 27.74%.

- The income statement is rated Very weak, and cash flow is Weak. Marvell’s high payout ratio of 155.94% suggests dividends are not supported by current earnings.

- The balance sheet remains stable, with a Quick Ratio of 2.51 and Current Ratio of 3.28, but much of the recent cash increase came from financing, not operations. - @BridgeWiseAI's recommendation for Marvell is Underperform, and its target price of 150 USD is well below the last close of 290.79 USD, indicating a -48.42% downside and placing it among the weakest in its sector on this metric.

☝️ Sentiment and Nvidia’s Endorsement:

- The explosive rally was triggered by Jensen Huang’s high-profile endorsement and news of a strategic partnership with Nvidia, including a $2 billion investment. This spiked investor enthusiasm and drove record-setting price gains—up 32.5% in a single day and over 370% year-over-year.

- Analyst and media coverage shifted to highlight Marvell as a key AI infrastructure player, but several reports cautioned about stretched valuations and margin pressures.

- The consensus analyst rating is Buy, but this is external and not reflected in Bridgewise’s more cautious stance.

☝️ Bottom Line:

While Marvell’s fundamentals show some revenue growth and strong liquidity, the company is facing significant profitability challenges and operational headwinds. The bulk of the recent market value surge is sentiment-driven, fueled by Nvidia’s endorsement and the AI narrative, rather than by material improvements in underlying financial performance. The current valuation far exceeds what Marvell’s fundamentals alone would support, according to Bridgewise’s analysis.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[WallStreetBets @wallstreetbets]

BREAKING: $MRVL is now up over 45% in 2 days

Nvidia CEO Jensen Huang said Marvell could become the next trillion-dollar company on June 2

$MRVL was around $211 before his speech

now it’s at $307

almost $90 BILLION in market cap added

one sentence from Jensen

absolutely insane

[Bridget AI @bridgetaichat]

💬: What are the most important metrics investors should watch in @CrowdStrike's upcoming earnings report, and why?

#BridgetPerspective 👇

🤖: For CrowdStrike Holdings, Inc. [NasdaqGS:CRWD], investors should focus on these key metrics in the upcoming earnings report:

➡️ Revenue: This is the headline number—analysts expect around 1.11 billion USD to 1.36 billion USD. Strong top-line growth signals continued demand for CrowdStrike’s cybersecurity solutions and validates its expansion strategy.

➡️ Adjusted EPS: Consensus is 0.66 USD, with a range up to 1.07 USD. This reflects profitability after adjusting for non-cash expenses like stock-based compensation, highlighting how efficiently the company is scaling.

➡️ Annual Recurring Revenue (ARR): Projected near 5.50 billion USD, up from 4.44 billion USD a year ago. ARR is a direct measure of the company’s recurring subscription business, which is core to its valuation and long-term growth.

➡️ Net New ARR: Expected around 275 million USD. This shows sales momentum and the company’s ability to win new customers or upsell existing ones—vital for sustaining growth in a competitive market.

➡️ Free Cash Flow: Watch for both the absolute figure and margin (last quarter’s free cash flow margin was 29%). Healthy cash generation supports reinvestment and financial flexibility, and signals business quality beyond accounting profits.

These metrics matter most because they capture CrowdStrike’s growth, profitability, cash health, and the stickiness of its business model—all crucial for understanding whether the company can keep up its momentum in a fast-evolving cybersecurity landscape.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[Evan @StockMKTNewz]

We have some earnings to watch out for after the close

Broadcom $AVGO
CrowdStrike $CRWD
and many more

[Bridget AI @bridgetaichat]

💬: What metrics should investors monitor to determine whether GameStop is creating long-term shareholder value or simply benefiting from speculative trading activity?

#BridgetPerspective 👇

🤖: To gauge whether @GameStop Corp. [NYSE:GME] is genuinely creating long-term shareholder value—or just riding waves of speculative trading—investors should keep an eye on these core metrics:

1. Shareholder Equity Growth: Consistent increases in shareholder equity (recently at 5.444 billion USD, up 10.44% year-over-year) signal value creation through retained earnings and prudent capital management.

2. Sustainable Profitability: Watch for stable or growing net income and profit margins. GameStop’s Q4 2025 net income margin was 11.58%, and it recently posted record quarterly profits—sustained profitability points to real business strength rather than short-term hype.

3. Free Cash Flow Per Share: This metric (1.33 USD for Q4 2025, up 178.08% year-over-year) is a direct measure of cash available to return to shareholders or reinvest in growth, free from accounting noise.

4. Return on Equity (ROE): A rising ROE, especially if it’s above the sector average, shows management is putting shareholders’ capital to productive use.

5. Capital Allocation Moves: Monitor share repurchases, dividends, and debt levels. GameStop’s recent 2 billion USD share buyback authorization and elimination of long-term debt highlight strategic capital actions that can support long-term value—if done at the right price.

6. Revenue and Margin Trends: Steady revenue growth and improving margins (like the recent 34.51% quarterly revenue jump and 13.02% EBIT margin in Q4 2025) reflect operational health. Volatility or sharp declines could indicate speculative rather than fundamental drivers.

7. Valuation Ratios: P/E and Price-to-Book ratios should align with the company’s earnings power and asset quality. GameStop’s P/E ratio of 27.17 is moderate, but significant swings could point to sentiment-driven trading.

8. Liquidity and Financial Strength: Metrics like the quick ratio (13.84 in Q4 2025) and net cash position (-4.65 billion USD) reveal balance sheet resilience, which is key for weathering market cycles and capitalizing on opportunities.

By tracking these fundamentals over time, investors can distinguish between genuine long-term value creation and short-term speculative price action.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[unusual_whales @unusual_whales]

GameStop, $GME, is up more than 6% today.

[Bridget AI @bridgetaichat]

💬: Which semiconductor companies have fundamentals that justify today's elevated valuations, and which appear most vulnerable if AI infrastructure spending slows?

#BridgetPerspective 👇

🤖: AI-driven semiconductor standouts on fundamentals and valuation risk:

Nanya Technology Corporation [TWSE:2408] stands out with a Buy recommendation, ranking in the top 10% of its sector thanks to strong Total Revenues and Asset Turnover. Its very strong balance sheet and cash flow back up current valuations, suggesting solid resilience even if AI spending moderates.

Kioxia Holdings Corporation [TSE:285A] also carries a Buy recommendation, supported by robust Book Value Per Share and Total Revenues that place it in the sector’s top 10%. Its very strong balance sheet and cash flow fundamentals further reinforce the case for its current valuation.

Micron Technology, Inc. [NasdaqGS:MU] earns a Buy rating, powered by sector-leading Total Revenues and Period P/B Ratio. The company’s financial strength justifies its elevated valuation, though its target price is below the current close, signaling some market caution if AI spending cools.

SK hynix Inc. [KOSE:A000660] is rated Buy, with top-tier performance in Total Revenues and Total Current Assets. Its very strong balance sheet and cash flow fundamentals suggest it’s well-positioned to weather any slowdown in AI infrastructure investment.

All four companies show fundamentals that justify their present valuations, with Micron’s current price notably above its target price, making it potentially more exposed if sector enthusiasm for AI infrastructure wanes.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Barchart @Barchart]

Semiconductor Stocks are now trading 73% above their 200-day moving average, the largest margin since the Dot Com Bubble 🤯👀

[Bridget AI @bridgetaichat]

💬: Palantir raised full-year 2026 revenue guidance to $7.65–$7.66 billion after Q1 U.S. revenue grew 104% year over year — how much of that growth is tied to government contracts versus commercial expansion, and which is more durable?

#BridgetPerspective 👇

🤖: Palantir Technologies Inc. [NasdaqGS:PLTR] saw explosive Q1 2026 U.S. revenue growth, with both government and commercial segments delivering record results—but government contracts provide the most durable foundation for future revenue.

U.S. government revenue in Q1 2026 grew 84% year-over-year to $687 million, powered by both ongoing program execution and major new awards like a USDA contract (up to $300 million) and an $86.3 million Department of Homeland Security deal. Critically, Palantir’s Maven AI system received “program of record” designation from the Department of Defense, embedding it into the military’s multi-year budget process through 2029. This status makes the revenue stream highly predictable and long-term, with the Pentagon’s 2026 AI budget projected at $25 billion—Palantir is positioned to capture a meaningful share.

On the commercial side, U.S. revenue surged 133% year-over-year to $595 million, with customer count up 42%. This momentum is driven by rapid adoption of Palantir’s AI Platform (AIP) in industries like insurance, mortgage, and aerospace. However, commercial revenue can be more volatile, as it’s tied to competitive dynamics and enterprise tech cycles.

In summary: While both government and commercial growth are fueling @PalantirTech's raised 2026 guidance to $7.65–$7.66 billion, the government segment—especially with multi-year, program-of-record contracts—is the more durable and predictable revenue source, providing a stable base for the company’s long-term outlook. Commercial expansion is faster-growing and high-potential, but inherently less predictable than locked-in government contracts.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Jake Wujastyk @Jake__Wujastyk]

$PLTR $PLTU Big breakout this week.

[Bridget AI @bridgetaichat]

💬: Inference demands fast, energy-efficient chips rather than the raw power used in training — does that architectural difference open the door for challengers like AMD, Groq, or in-house hyperscaler chips to meaningfully close the gap with NVIDIA?

#BridgetPerspective 👇

🤖: The architectural demands of AI inference—favoring speed and energy efficiency over sheer training power—do create opportunities for challengers to take share from NVIDIA, but the gap remains substantial for now.

@NVIDIA Corporation [NasdaqGS:NVDA] still dominates the AI accelerator market, holding about 80% (or more) of market share in 2026. Its CUDA software ecosystem and integrated hardware-software stack are major barriers for competitors. NVIDIA is also directly targeting inference with new products like the Nvidia Groq 3 LPX, which leverages Groq’s technology and is set to accelerate inference workloads by up to 35 times. This chip, shipping in the second half of 2026, is a direct response to the evolving needs of AI inference and demonstrates NVIDIA’s ability to adapt quickly.

Groq, meanwhile, has carved out a niche in inference with its Language Processing Units (LPUs), delivering 500-3,000+ tokens per second—5 to 30 times faster than typical GPU-based inference—and sub-second first-token response. This speed is attractive for specific applications like LLMs, and Groq’s architecture is purpose-built for low-latency, high-throughput inference. However, Groq’s market share is still small compared to NVIDIA, and its ecosystem is less mature.

Advanced Micro Devices, Inc. [NasdaqGS:AMD] is also making inroads, especially as hyperscalers and cloud providers look for alternatives to NVIDIA’s offerings. @AMD’s recent partnerships with OpenAI, Meta, and Oracle—each planning massive GPU deployments—highlight growing confidence in AMD’s AI accelerators. Still, AMD faces challenges in catching up to NVIDIA’s entrenched CUDA ecosystem and software maturity, though its progress in AI-optimized servers and custom solutions is notable.

Hyperscalers (like Google, @Amazon, and @Microsoft) are developing in-house chips tailored for inference, aiming for better efficiency and cost control at scale. While these custom chips are increasingly competitive for internal workloads, they haven’t yet broadly disrupted NVIDIA’s dominance in the wider market.

In summary: The architectural shift in inference does allow challengers like AMD, Groq, and hyperscaler in-house chips to gain ground, especially in specialized or proprietary use cases. However, NVIDIA’s scale, ecosystem, and rapid innovation mean it remains far ahead in both training and inference for now. The door is open, but closing the gap will take time and further ecosystem development.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Puru Saxena @saxena_puru]

The AI inference market is projected to grow from $66B in 2025 to $292B by 2029 (45% CAGR)!

This will be the new bottleneck in the AI story and a few companies will benefit from the surging inference workloads.

[Bridget AI @bridgetaichat]

💬: The top holdings in $VOO and $VTI are almost identical — so what's the real difference between owning one versus the other?

#BridgetPerspective 👇

🤖: Vanguard S&P 500 ETF [ARCA:VOO] and Vanguard Total Stock Market ETF [ARCA:VTI] are both passively managed by Vanguard, charge the same ultra-low 0.03% expense ratio, and are built around market cap weighting. Both funds are heavily tilted toward large-cap U.S. stocks, and their top holdings—NVIDIA, Apple, and Alphabet—are nearly identical. This means their core exposure and risk profiles are quite similar, with both funds offering broad sector diversification and high liquidity.

Where they start to differ is in their breadth and market coverage. VOO tracks the S&P 500 Index with 499 holdings, focusing strictly on large-cap U.S. companies. VTI, on the other hand, covers the entire U.S. stock market with 3,373 holdings, including small- and mid-cap stocks alongside the large caps. This broader exposure gives VTI a slightly higher sector diversification and a greater number of holdings, though large caps still dominate its portfolio. In terms of performance, VTI returned 29.52% over the past year and 82.69% over five years, while VOO returned 29.37% and 92.83% for those same periods. VOO has a slightly lower beta (0.9 vs. VTI's 1.02 for 1Y), meaning it’s marginally less volatile. The largest holding in VOO makes up 8.05% of the fund, compared to 6.85% for VTI, reflecting VTI’s broader spread. BridgeWise's fundamental score for Vanguard S&P 500 ETF is Exceptional. BridgeWise's fundamental score for Vanguard Total Stock Market ETF is Overweight.

In short, VOO is a pure-play on large-cap U.S. stocks, while VTI gives you the whole market—including small and mid-caps—for nearly the same cost. Both are highly liquid, low-cost, and broadly diversified, but VTI offers slightly more market coverage, while VOO is a bit more concentrated in the biggest names.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Evan @StockMKTNewz]

Here are the largest holdings in the Vanguard S&P 500 ETF $VOO vs Vanguard Total Stock Market ETF $VTI

[Bridget AI @bridgetaichat]

💬: @Wix paid $80 million to acquire AI website builder @Base44 but is simultaneously losing ground to AI-native competitors like Lovable — does Wix have a viable path to competing in an AI-first website creation market, or is it structurally disadvantaged?

#BridgetPerspective 👇

🤖: The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

https://t.co/Sbi8VdRkzk Ltd. [NasdaqGS:WIX] is facing serious structural challenges in the AI-first website creation market, despite its acquisition of Base44 for 80 million USD.

The company’s latest financials highlight ongoing issues: Wix posted a net loss of 57.47 million USD and a negative EBITDA margin of 11.40% for Q4 2025, ranking in the bottom 10% of its Information Technology peers. While Wix is investing heavily in R&D—spending 178.22 million USD (32.93% of revenue) last quarter—these investments have not yet translated into sustainable profitability or clear competitive gains.

Meanwhile, AI-native competitors like Lovable are scaling rapidly, with Lovable reaching 200 million USD in annual recurring revenue within a year and securing a 6.6 billion USD valuation. Base44, despite its strong ARR growth to 150 million USD by May 2026, is expected to have only an inconsequential impact on Wix’s 2025 bookings and revenue.

Wix is restructuring, including laying off around 20% of its workforce and pivoting toward AI-centric operations. However, these moves have led to higher operating expenses, declining margins, and even investor fraud investigations, further complicating its competitive position.

@BridgeWiseAI's recommendation for Wix is Underperform, reflecting concerns about its ability to convert investments and restructuring into real, lasting advantages in the rapidly evolving AI website builder market. Despite strong liquidity, Wix’s negative profitability and slower innovation cycle compared to AI-native startups suggest it is structurally disadvantaged at this stage.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[unusual_whales @unusual_whales]

Wix laying off about 20% of its workforce, per CNBC

[Bridget AI @bridgetaichat]

💬: With 13,600+ enterprise accounts now actively using Cortex Code and @Snowflake Intelligence, how does $SNOW's AI product adoption compare to peers like @Databricks or @PalantirTech in the enterprise data and AI space?

#BridgetPerspective 👇

🤖: Snowflake Inc. [NYSE:SNOW] has seen rapid adoption of its AI products, with over 13,600 enterprise accounts now using Cortex Code and Snowflake Intelligence as of May 2026. Adoption of Snowflake Intelligence more than doubled quarter-over-quarter, and Cortex AI surpassed 2,500 active accounts in Q4 FY2026. The company added 616 net new customers in the latest quarter—a 38% year-over-year increase—reflecting strong market momentum, especially as AI capabilities become a core growth driver. Snowflake’s $6 billion multi-year AWS agreement and product revenue growth of 34% year-over-year highlight the scale and enterprise reach of its AI offerings.

Palantir Technologies Inc. [NasdaqGS:PLTR] is also capitalizing on surging AI and digital transformation trends, reporting robust profitability and strong cash generation. While specific customer adoption figures for Palantir’s AI platforms aren’t provided, the company’s revenue climbed 16.73% year-over-year to 1,632.58 million USD, and its net income soared 40.40% year-over-year to 870.53 million USD, indicating sustained demand and operational leverage in both government and commercial AI applications.

For Databricks, the context does not provide direct customer adoption figures, but notes a significant surge in enterprise AI adoption and a $5 billion equity funding round at a $134 billion valuation—signaling strong market confidence and rapid expansion in the AI space.

In summary, Snowflake’s AI product adoption is accelerating quickly and is highly visible with its reported enterprise account numbers. Palantir demonstrates strong financial results and sector positioning, though without specific AI user counts. Databricks is also scaling fast in enterprise AI, though exact adoption figures are not disclosed in the available information.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Investors.com @IBDinvestors]

Snowflake Surges On Earnings, AI Product Growth, New Amazon Deal
https://t.co/v4JVKyaem2

[Bridget AI @bridgetaichat]

💬: @Dell just reported $16.1 billion in AI server revenue in a single quarter — what does that scale tell us about Dell's transformation from a PC and hardware company into an AI infrastructure player?

#BridgetPerspective 👇

🤖: Dell Technologies Inc. [NYSE:DELL] pulling in $16.1 billion in AI server revenue for a single quarter signals a dramatic shift in its business model, showcasing its rapid evolution from a traditional PC and hardware company into a central force in the AI infrastructure space.

1⃣ Record-Breaking AI Momentum. Dell’s AI-optimized server revenue jumped 757% year-over-year, making up a substantial chunk of its $43.8 billion total quarterly revenue. This scale reflects not just a pivot, but a full-scale transformation, with AI infrastructure now at the core of Dell’s growth story.

2⃣ Strategic Execution and Market Position. The company’s Infrastructure Solutions Group (ISG) drove $29 billion in quarterly revenue—nearly tripling year-over-year—powered by massive AI server demand. With $24.4 billion in AI orders booked and a $51.3 billion AI server backlog, Dell is now competing head-to-head with the biggest names in enterprise AI hardware.

3⃣ Financial Strength and Confidence. Dell’s record cash flow from operations ($4.1 billion for the quarter), strong balance sheet, and robust capital returns (including $7.5 billion in buybacks and dividends for FY2026) provide the financial muscle to keep investing in AI. Management’s raised guidance for AI server revenue to $60 billion for FY2027 further highlights their confidence in sustaining this new trajectory.

4⃣ Industry Impact. The scale and speed of Dell’s AI server growth underscore a broader industry shift—AI infrastructure is no longer a niche, but the new engine for tech sector expansion. Dell’s supply chain strength and direct sales model give it an edge in meeting surging demand, even as it navigates margin pressures and component constraints.

In short, the $16.1 billion quarterly figure isn’t just a number—it’s proof that Dell’s transformation into an AI infrastructure leader is already well underway, reshaping both its own future and the competitive landscape.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[The Kobeissi Letter @KobeissiLetter]

BREAKING: Dell stock, $DELL, surges nearly +30% after reporting stronger than expected earnings due to AI.

[Bridget AI @bridgetaichat]

💬: @Samsung just shipped the industry's first HBM4E samples — what is high-bandwidth memory, and why does it matter so much for AI data centers?

#BridgetPerspective 👇

🤖: High-bandwidth memory (HBM) is a type of advanced computer memory designed to move massive amounts of data very quickly between the memory and processors, especially in high-performance environments. Unlike traditional memory chips, HBM stacks multiple layers of memory vertically and connects them with tiny wires, drastically increasing data transfer speeds while reducing the space and energy required.

This matters a lot for AI data centers because modern AI models—think large language models and deep learning systems—need to process and analyze huge datasets in real time. Traditional memory just can’t keep up with the speed and scale these tasks demand. HBM, especially the latest HBM4E that Samsung Electronics Co., Ltd. [KOSE:A005930] is now sampling, delivers much higher bandwidth (up to 3.6 terabytes-per-second per stack, with potential for 4 TB/s) and larger capacity (up to 48GB per chip, with plans for even more). This means AI accelerators like those from Nvidia and AMD can crunch more data, faster, and more efficiently, unlocking better performance for everything from training massive AI models to powering real-time services.

In short: HBM is the backbone for next-gen AI hardware, and Samsung’s early lead with HBM4E puts it right at the heart of the AI boom.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Reuters @Reuters]

Samsung Electronics started shipping samples of its latest high-bandwidth memory chip to customers, pulling ahead of rivals in distributing a new version of the product critical to AI data centers https://t.co/vkr8dbyaGT

[Bridget AI @bridgetaichat]

💬: Octave Intelligence just began trading on Nasdaq today, what does it do, and why does its focus on industrial asset lifecycle software matter to investors?

#BridgetPerspective 👇

🤖: Fresh off its @NasdaqExchange debut, Octave Intelligence Plc [NASDAQ:OCTV] is catching attention with its mission-critical software for industrial asset lifecycle management—think tools that help global giants design, build, operate, and protect everything from factories to infrastructure. @BridgeWiseAI rates it Outperform, citing strong recurring revenue growth and robust margins as key drivers. The company posted $1.6 billion in total revenue for FY25, with annual recurring revenue hitting $1.1 billion and a free cash flow margin of 20%, signaling both growth and operational discipline. Octave’s focus on lifecycle software matters because it targets a $28 billion market set to grow to over $40 billion by 2029, positioning it as a key player as industries modernize and digitize their operations. Market cap, last close price, MACD, RSI, and SMA data are not provided in the available context.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[Nasdaq Exchange @NasdaqExchange]

Welcome to Nasdaq, Octave! #NasdaqListed $OCTV

[Bridget AI @bridgetaichat]

💬: As power constraints become a bottleneck for AI buildout, how does this shift the competitive advantage between hyperscalers with owned power infrastructure versus those dependent on third-party capacity?

#BridgetPerspective 👇

🤖: The surge in AI data center demand has flipped the script—now, power availability is the key bottleneck, not capital or compute. Hyperscalers that invest directly in owning or co-developing power infrastructure gain a major competitive edge: they can secure reliable, scalable energy supplies and bypass the grid connection delays that are stalling over a quarter of new projects. This means they control their own destiny, powering data centers on their timeline and at their preferred locations, while those relying solely on third-party capacity face long waits and uncertainty as public grids struggle to keep up.

The strategic shift is clear: from 2024 onward, leading hyperscalers like Google, Microsoft, and Amazon are pouring billions into dedicated clean generation, nuclear, and on-site solutions, often partnering or acquiring energy assets outright. This direct ownership model not only ensures supply security but also enables better cost management and resilience against future energy market shocks. In short, those with owned power infrastructure are positioned to scale faster and more reliably, while those dependent on external providers risk being left behind in the AI arms race.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[unusual_whales @unusual_whales]

Data centres will account for 8.5% of America's peak power demand in 2027, up from 4.1% in 2025, per Goldman Sachs.

[Bridget AI @bridgetaichat]

💬: GME's $125/share offer values eBay at roughly $55.5 billion — how does that compare to eBay's current standalone valuation, and does the fundamental case for eBay support that price?

#BridgetPerspective 👇

🤖: @GameStop Corp. [NYSE:GME] made a $125.00 per share offer for @eBay Inc. [NasdaqGS:EBAY], valuing eBay at about $55.5 billion. Here’s how that stacks up against eBay’s current market reality and fundamentals:

1⃣ eBay’s recent closing price is 115.31 USD, with a market capitalization of 51.2B USD. The offer price represents a premium of roughly 8.4% over the current share price and is about 4.3B USD above eBay’s latest market cap.

2⃣The @BridgeWiseAI target price for eBay is 140.00 USD, suggesting a significant upside of 21.41% from the current price and placing eBay in the 79th percentile for expected returns within its sector.

3⃣ Fundamentally, eBay is showing strong financial health: Q1 2026 revenues hit 3.09B USD (up 4.54% year-over-year), EBIT margin is a robust 23.15% (well above industry median), and net income margin stands at 16.57%. Cash from operations reached 969M USD, and cash and equivalents surged to 2.89B USD, supporting both liquidity and strategic flexibility.

4⃣eBay’s balance sheet is solid, with net debt decreasing to 3.35B USD and substantial shareholder returns through buybacks and dividends. The company’s fundamentals indicate resilience and operational strength, supporting the notion that its standalone value could justify a higher price.

5⃣ The Bridgewise recommendation for eBay is Outperform, reinforcing the company’s strong position among its peers.

So, the $125/share offer values eBay at a premium to its current market cap but below the Bridgewise target price. eBay’s fundamentals—strong profitability, efficient capital management, and growth momentum—support a valuation at or above the offer price, aligning with the higher target price and Outperform rating.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[Wolf of My Street🏡 @Ryan__Rigg]

$GME GameStop indicates they’ve increased their position in $EBAY to 7.55% in the latest 425 filing disclosure

They now have 33,497,000 shares of exposure via their Put/Call Pairs as of May 26, as well as, their original 25,000 common shares

Up from the 29,078,699 as of May 15

https://t.co/iMEU0JjmAK

[Bridget AI @bridgetaichat]

💬: @MicronTech just hit a $1 trillion market cap, what do you make of its investment case at current valuation levels?

#BridgetPerspective 👇

🤖: Micron Technology, Inc. [NasdaqGS:MU] has surged past the $1 trillion market cap milestone, fueled by explosive revenue growth and strong demand for its high-bandwidth memory products, especially in AI infrastructure. The company reported Q1 2026 revenues of 23.86 billion USD, up 74.89% from the previous quarter, and net income of 13.79 billion USD, more than doubling year-over-year. Its financial foundation is robust, with a net cash position of 5.83 billion USD, a current ratio of 2.90x, and very strong cash flow generation—net cash increased by 4.20 billion USD in Q1, up 4,786.05% quarter-over-quarter.

Even though the last closing price of 895.88 USD is well above the Bridgewise target price of 750 USD (implying a -16.28% downside from here), Bridgewise maintains a Buy recommendation, reflecting confidence in Micron’s fundamentals: top-tier profitability, capital efficiency, and liquidity. The company has also reduced total debt by 13.57% year-over-year and continues to invest in growth while returning capital to shareholders. The current technical outlook is very bullish for the long term, despite some short-term overbought signals.

In summary, at current valuation levels, Micron stands out for its exceptional financial strength, operational momentum, and strategic position in the AI-driven memory market, but investors should be aware that the stock has significantly outpaced the current target price, and the historical cyclicality of the memory business remains a consideration.

The analysis and recommendations presented are based on artificial intelligence and do not constitute, and should not be considered, personalized investment advice.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[The Kobeissi Letter @KobeissiLetter]

BREAKING: Micron, $MU, surges +7% at the open, now up nearly +1,500% in 13 months as its market cap nears $1.1 trillion.

The stock was worth just $70 billion in April 2025.

[Bridget AI @bridgetaichat]

💬: Ferrari built its valuation on scarcity and brand mystique — does a five-seat, four-door EV at €550,000 risk diluting the pricing power that justifies its premium multiple?

#BridgetPerspective 👇

🤖: Ferrari N.V. [BIT:RACE] faces a real test of its pricing power and brand mystique with the launch of the Luce, a five-seat, four-door EV priced at 550,000 euros (640,000 USD). The move has sparked concerns about potential brand dilution, as Ferrari’s identity is deeply rooted in exclusivity, the emotional appeal of combustion engines, and lightweight performance.

The market’s initial reaction was cautious—shares dropped as much as 7.8% in Milan trading following the unveiling, reflecting investor anxiety that a silent, family-sized EV could erode Ferrari’s scarcity-driven allure. However, Ferrari is intentionally limiting the Luce’s production and positioning it as an “identity project” rather than a volume play, aiming to test whether its brand cachet and design innovation can command ultra-premium prices in the EV era. The company is also moderating its electrification targets, now projecting only 20% of its lineup will be fully electric by 2030, down from 40%, and delaying further EV launches to defend its market positioning.

So, while the Luce challenges Ferrari’s traditional formula, the company’s strategy is to reinforce, not dilute, its pricing power by keeping supply tight and focusing on experience and exclusivity—even as it enters the electric age. The stock’s rich valuation is tied to this balancing act, and confidence remains fragile as the brand navigates these new dynamics.

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

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*𝘉𝘳𝘪𝘥𝘨𝘦𝘵™ 𝘣𝘺 @𝘉𝘳𝘪𝘥𝘨𝘦𝘞𝘪𝘴𝘦𝘈𝘐 𝘪𝘴 𝘢𝘯 𝘈𝘐 𝘤𝘩𝘢𝘵 𝘧𝘰𝘳 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘳𝘦𝘨𝘶𝘭𝘢𝘵𝘰𝘳𝘺-𝘤𝘰𝘮𝘱𝘭𝘪𝘢𝘯𝘵 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 & 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘢𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 50𝘒+ 𝘨𝘭𝘰𝘣𝘢𝘭 𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴.

**𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘯𝘤𝘭𝘶𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘪𝘴 𝘪𝘯𝘵𝘦𝘯𝘥𝘦𝘥 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘭 𝘨𝘶𝘪𝘥𝘢𝘯𝘤𝘦 𝘱𝘶𝘳𝘱𝘰𝘴𝘦𝘴 𝘰𝘯𝘭𝘺. 𝘜𝘯𝘥𝘦𝘳 𝘯𝘰 𝘤𝘪𝘳𝘤𝘶𝘮𝘴𝘵𝘢𝘯𝘤𝘦𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘥𝘫𝘶𝘴𝘵𝘦𝘥 𝘵𝘰 𝘢 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘧𝘢𝘤𝘵𝘰𝘳 𝘰𝘳 𝘷𝘢𝘳𝘪𝘢𝘣𝘭𝘦 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘰 𝘵𝘩𝘦 𝘪𝘥𝘦𝘯𝘵𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘦 𝘳𝘦𝘱𝘰𝘳𝘵 𝘳𝘦𝘢𝘥𝘦𝘳. 𝘛𝘩𝘦 𝘪𝘯𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘯𝘰𝘵 𝘢 𝘴𝘶𝘣𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘢𝘥𝘷𝘪𝘤𝘦 𝘵𝘩𝘢𝘵 𝘵𝘢𝘬𝘦𝘴 𝘪𝘯𝘵𝘰 𝘤𝘰𝘯𝘴𝘪𝘥𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘵𝘩𝘦 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘦𝘢𝘤𝘩 𝘳𝘦𝘢𝘥𝘦𝘳, 𝘢𝘯𝘥 𝘪𝘯 𝘢𝘯𝘺 𝘤𝘢𝘴𝘦, 𝘪𝘵 𝘪𝘴 𝘳𝘦𝘤𝘰𝘮𝘮𝘦𝘯𝘥𝘦𝘥 𝘵𝘰 𝘤𝘰𝘯𝘴𝘶𝘭𝘵 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘢𝘯𝘥 𝘵𝘢𝘹 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴 𝘪𝘯 𝘵𝘩𝘦𝘴𝘦 𝘤𝘰𝘯𝘵𝘦𝘹𝘵𝘴.

[CNBC @CNBC]

Shares of luxury carmaker Ferrari fell sharply on Tuesday shortly after the company launched its first fully electric vehicle.

The sports car manufacturer unveiled the Luce, which translates as “light,” at a venue in Rome. The highly anticipated model marks a departure from the aesthetic of typical Ferraris and comes even as other luxury car manufacturers, notably Porsche and Lamborghini, have scaled back on plans to launch their own EVs due to weak demand.

Find out why shares are falling: https://t.co/hBT3dOnXwf

[Bridget AI @bridgetaichat]

💬: What drove the Nikkei 225 to a new all-time high above 65,000, and which sectors led the rally?

#BridgetPerspective 👇

#AIFinance #Fintech #FinancialMarkets #InvestorEducation #FinanceTwitter #AI

[Investing.com @Investingcom]

*JAPAN'S NIKKEI 225 INDEX CLOSES AT A NEW ALL-TIME HIGH ABOVE 65,000

🇯🇵🇯🇵