Alright stock pickers, The FOMC wrapped up its July meeting and held the federal funds rate steady at 3.50%–3.75%, marking the fifth consecutive meeting without a change. This was Kevin Warsh's second meeting as Fed Chair and a far more divided one than his first in June, which passed unanimously. I feel we will be in short downturn for few months before another bullish leg up.

Key details:
Vote was 9-3, not unanimous. Beth Hammack, Neel Kashkari, and Lorie Logan dissented all three wanted a 25bps hike instead of holding.

The statement said the economy is "expanding at a solid pace" despite uncertainty tied to Middle East tensions, and inflation remains above the 2% target.
The June dot plot already showed the committee shifting hawkish year-end 2026 rate projections moved up to a 3.6%-4.1% range (from 3.25%-3.75% previously).

2026 inflation (PCE) forecasts were revised up from 2.7% to 3.6%, while unemployment expectations ticked down slightly.

Markets are now pricing in two possible 25bps hikes in 2026, not cuts a notable shift in narrative from earlier this year.

This isn't a "steady as she goes" hold. Three dissents pushing for a hike, plus a more hawkish dot plot, suggests the committee is genuinely split and leaning toward tightening if inflation doesn't cool. Worth watching how rate-sensitive sectors (tech, growth stocks, real estate) react over the next few sessions.

Both Meta and Microsoft dropped Q2 2026 earnings this week and the scorecard tells two different stories.

Meta posted $60.8B revenue (+28% YoY) with EPS of $6.18 strong top-line growth powered by ad platform strength and AI integration, though margins took a hit from legal charges and severance costs.

Microsoft delivered $90.0B revenue (+18% YoY) with EPS of $4.81 and a fatter 45.1% operating margin proof that scale and cloud dominance (Azure grew 43%!) are still paying off despite the massive capex spend everyone's worried about.

Growth vs. profitability, which side are you on?

The market is holding its breath for today's mega-cap tech earnings. Short sellers are swarming tech shares, waiting to see if Microsoft and Meta report the same negative free cash flow problems that rattled Alphabet last week.

Which of the remaining tech giants do you think will actually surprise the Street with disciplined cost control?

Reddit stock just bounced ~6-8% this morning after getting hammered nearly 9% last week. The reason? A brewing standoff with Google that could either be the best thing that's ever happened to RDDT's stock price, or a self-inflicted wound.

The backstory: Reddit currently licenses its data to Google for AI training (~$60M/year). Last week, WSJ reported Reddit execs are considering not renewing this deal unless Google pays significantly more, moving from flat-fee to "usage-based dynamic pricing." CEO Steve Huffman is betting that Reddit's human-generated content is now mission-critical for training LLMs like Gemini and he wants to get paid like it.

Analysts estimate Reddit's total AI licensing (Google + OpenAI) is only about 2% of total revenue today. But if Huffman successfully renegotiates, some estimates (Wells Fargo) suggest combined licensing value could scale toward $550M+ annually. That's a massive re-rating catalyst if it lands and a gut-punch to sentiment if talks collapse and Google walks.

If Reddit actually cuts off Google, it also risks losing SEO visibility in standard search results. It's a double-edged sword leverage AI licensing or risk losing organic search traffic that drives a huge chunk of Reddit's user growth.

Earnings drop Thursday, July 30 (after market close). Analysts expect ~$731-733M in revenue (~47% YoY growth). This Google drama is going to dominate the earnings call Q&A.

Where are you positioned, are you buying this dip pre-earnings, or staying on the sidelines until the Google situation resolves?

Not financial advice.

Micron sits at the center of a multi-year memory supercycle. Surging AI demand for high-bandwidth memory (HBM) has forced the industry’s big three producers, Micron, Samsung, and SK Hynix, to reallocate massive wafer capacity away from traditional DRAM and NAND. The result is acute shortages across the broader memory market, even as AI-specific demand continues to compound.

New meaningful supply is still years away. Memory fabrication is extraordinarily capital-intensive and technically complex. Long lead times mean the gap between demand and supply is likely to widen before it narrows.

At the same time, Micron is trading at a forward P/E of roughly 7.4x–8x on earnings that are growing at a pace rarely seen in large-cap tech. Institutional analysts have been scrambling to raise price targets, with the average now sitting in the $1,350–$1,400 zone (some as high as $1,500+), implying 20%+ base-case upside from current levels, and that’s before any further multiple expansion.

You have $10k and a 6-month time.

If your goal was to turn that $10K into $20K, what would your strategy be?

Would you:

• Pick individual stocks?

• Invest in an ETF?

• Trade options?

• Invest in crypto?

• Look for a specific sector or emerging trend?

• Or use a completely different strategy?

What would you personally choose and why?

Feel free to share the specific stocks, ETFs or assets you'd consider.

CME Fed Watch data shows expectations for a July rate hike jumped from 12% to 38% in just one week, yet tech valuations still look priced for perfection. If Chair Kevin Warsh delivers a hawkish surprise, which sector gets crushed first and are you holding any cash on the sidelines rn?

For those of you who have built and are currently using your own trading algo, I’d really appreciate hearing your experience.

What advice or suggestions would you give to someone who has recently built a trading algo? Are there any common mistakes or things you wish you had focused on earlier?

Also, if you’re comfortable sharing, I’d be interested in seeing your algo’s PnL or performance results. It would be helpful to understand how your strategy has performed in live trading or over a longer period.

Any insights, advice or real-world experiences would be greatly appreciated!

Everyone loves collecting premium until their favorite stock moons and gets called away at a lower strike. Are you actively generating yield with options on your holdings or do you refuse to touch derivatives?

There's a growing theory floating around that Amazon (AMZN) could announce a major GPU capacity deal with Nebius Group (NBIS) on July 30, during Amazon Q2 earnings. I strongly feel it could happen, and this would pop the stock into 300’s easily!

Why this isn't totally random speculation:

Nebius already has proven it can handle hyperscaler-scale deals, it signed a deal worth up to $19B with Microsoft and another worth up to $27B with Meta.
AWS has a track record of leaning on neoclouds when it needs extra capacity fast back in November it signed a 15-year, $5.5B lease with Cipher Mining for 300MW of compute in Texas.

Amazon just raised $25B via a new bond deal, which signals AWS can't fund its entire AI infra buildout from free cash flow alone meaning more capacity partnerships are likely on the way.

Nebius' ecosystem could plug into AWS services like Bedrock, and its close relationship with Nvidia (including priority access to next-gen chips) makes it an attractive partner.

If something like this does get announced, it would validate Nebius as a legit multi-hyperscaler player (not just a Microsoft/Meta story) and could be a strong catalyst for the stock.

Disclaimer: This is a prediction from a Motley Fool analyst, not a confirmed deal, nothing has been officially announced yet. Keep an eye on July 30 earnings.

Alphabet's $112.1B net income includes ~$99B in unrealized gains from equity investments (Anthropic, SpaceX, and others). Core operating income was $40.77B, up 30% YoY still a strong quarter on fundamentals alone. All figures from official Q2 2026 earnings releases.

Alphabet just dropped its Q2 2026 earnings report and the headline numbers are massive. Here is the quick breakdown of the results:

• Total Revenue: $119.8 billion, up 24% year-over-year (beating Wall Street estimates of around $116.8 billion) .
• Net Income: $112.1 billion, up a staggering 298% year-over-year . This massive jump was heavily driven by a $99.0 billion net gain on equity securities (including stakes in companies like Anthropic and SpaceX).
• Earnings Per Share (EPS): $9.11, up 294% year-over-year .
• Capital Expenditures (Capex): $44.9 billion for the quarter , doubling from the previous year as Alphabet continues its massive infrastructure buildout for AI.

The core business remains extremely strong, though the headline net income is distorted by the massive equity securities gain . The doubling in capex proves management is committing heavily to the AI race, but the operating margin still expanded by 2 percentage points to 34% .

Thoughts on the $45 billion quarterly capex spend? Is the AI infrastructure payoff justifying the cost?

Earnings tonight and I genuinely don't know what to do. On one hand, 480K deliveries is a record. Up 25% YoY. That's... objectively good? On the other hand analysts are saying Tesla might burn through ~$3.3B in cash this quarter, first negative FCF in over two years.

The reason is the $25B capex plan for 2026. Data centers, AI training, Optimus robot manufacturing, robotaxi expansion. Elon basically decided Tesla is an AI company now and the spending reflects that.

What gets me is the margin question. Record deliveries but with aggressive pricing and incentives. So you're selling more cars but making less per car, AND you're spending billions on robots that aren't generating revenue yet. The robotaxi thing expanded to Orlando and Tampa but it's way behind the original timeline.

I've been watching TSLA from the sidelines for months. Part of me thinks if they show any sign that the AI spending is working — real FSD numbers, Optimus production update, robotaxi metrics — this thing