📚Wall Street Series #11#: Why Good Earnings Can Still Send a Stock Down 💰Good earnings ≠ stock goes up. Why? Because Wall Street reacts to expectations, not just results. A company can beat EPS and revenue… but the stock can still fall if: 🔸The good news was already priced in 🔸The guidance was weaker than expected 🔸Margins showed rising costs 🔸Growth looked less sustainable 📌 The key lesson: Stocks move on the gap between what happened and what investors expected. That’s why “good” earnings can still disappoint the market. Educational only. Not financial advice.

Weekly Market Outlook | Jul 27–31, 2026 A pivotal week puts the spotlight on the Fed’s policy decision, inflation data, Q2 economic growth and the next wave of Big Tech earnings. Key events: 7/27: U.S. Durable Goods Orders 7/28: FOMC meeting begins; Advance Goods Trade Balance & Inventories; Boeing, UPS, Coca-Cola and Visa earnings 7/29: Fed rate decision & press conference; Microsoft, Meta, Qualcomm, Arm, Procter & Gamble and Starbucks earnings 7/30: Q2 GDP advance estimate; June PCE inflation data; Initial jobless claims; Apple, Amazon and Mastercard earnings 7/31: Employment Cost Index; Final University of Michigan Consumer Sentiment; ExxonMobil, Chevron and AbbVie earnings Top watch: 7/29 Fed decision + Microsoft/Meta earnings, and 7/30 GDP/PCE inflation data + Apple/Amazon earnings For social sharing only. Not investment advice.

🇺🇸 Macro Update | US July Flash PMI The latest S&P Global Flash PMI shows the U.S. economy remains in expansion: 📊 Composite PMI: 53.6 🏭 Manufacturing PMI: 53.8 🏦 Services PMI: 53.6 Services continued to lead growth, highlighting ongoing U.S. economic resilience. Markets now focus on the Fed’s next policy moves and global asset trends. 📈 Stay ahead of global markets with 🚀 📷

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Stockcoin AI Decoded Ep. 05 | 💡 The AI Bottleneck No One Talks About: Networking AI isn’t just limited by GPUs. As models scale, thousands of GPUs must talk to each other at extreme speed. That makes networking critical. Faster chips only matter if data can move fast enough. Key layers to watch: • High-speed switches • Optical modules • Ethernet & InfiniBand • Custom networking chips • Data center interconnects Stocks investors often track: NVIDIA, Broadcom, Marvell, Arista Networks, Cisco, and optical suppliers. In the AI buildout, networking is becoming a hidden bottleneck. And bottlenecks often become investment themes. 📷

Intel finally delivered a quarter investors could believe in.💡 Q2 revenue jumped 25% YoY to $16.1B, with adjusted EPS at $0.42 — nearly 2x expectations. Data Center & AI surged 59% to $6.3B, while Foundry revenue grew 31% to $5.8B.💰 The bigger story: AI growth is expanding beyond GPUs. CPUs, custom silicon, advanced packaging, and foundry capacity are becoming part of the same AI infrastructure cycle. Q3 guidance also came in strong. But challenges remain: GAAP losses, foundry profitability, and rising capex. $INTC is no longer just a turnaround story. The next test is whether AI demand can translate into sustainable margins, cash flow, and manufacturing leadership. Not financial advice.

Tesla’s Q2 report shows why $TSLA is still such a difficult stock to value.💡 Revenue rose 26% YoY to $28.24B and deliveries hit 480k, suggesting demand is improving. Energy and Services also kept growing, giving Tesla more than just an EV volume story.💰 But the cost is rising. Margins remain thin, EPS missed, and free cash flow turned negative as capex surged. Takeaway: The long-term AI, Robotaxi and Optimus thesis is still alive, but investors now need to see that vision convert into real cash flow.

Alphabet Q2 was strong, but not simple📊. Revenue +24% YoY to $119.8B. Search still grew 17%, YouTube ads stayed healthy, and Google Cloud surged 82% to $24.8B.💰 The bull case: AI is already driving real demand across Cloud and core Google products. The caution: EPS was boosted by a $98B investment gain, while AI capex hit $44.9B and free cash flow turned negative. $GOOGL remains one of the clearest AI winners, but the next question is ROI. Growth is obvious. Now investors need to see whether this AI infrastructure spend turns into durable cash flow.

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📚Wall Street Series #10#: What Is Earnings Per Share (EPS)? EPS tells you how much profit a company makes for each share of stock. 📌 Simple formula: EPS = Net Income ÷ Shares Outstanding Why it matters: EPS helps investors judge a company’s profitability. It also helps explain valuation metrics like the P/E Ratio. Example: If a company earns $100M in profit and has 50M shares, its EPS is $2. But EPS is not the whole story. A rising EPS can signal stronger profits. A falling EPS may suggest pressure. Still, investors should also look at revenue growth, margins, debt, and future outlook. EPS answers one key question: “How much does each share earn?”

OpenAI Pre-IPO allocation results have been released. Each participant received 100% of their subscribed amount. Check your allocation in Asset - Pre-IPO on Stockcoin. We have adjusted the final settlement price. Please refer to the announcement for the detailed rules. 👇

Weekly Market Outlook | Jul 20–24, 2026 A light macro calendar puts the spotlight on Big Tech earnings, AI spending and corporate guidance. Key events: 7/20: U.S. Leading Economic Index 7/21: General Motors and Capital One earnings 7/22: Alphabet, Tesla and ServiceNow earnings; AMD AI event 7/23: Initial jobless claims; Intel, T-Mobile and major airline earnings 7/24: Flash manufacturing and services PMIs, new home sales; Verizon and American Express earnings Top watch: 7/22 Alphabet + Tesla earnings and 7/24 U.S. PMI data For social sharing only. Not investment advice.

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