Callum | Morsel

JPMorgan tells a similar story—just from a different angle. Broad revenue growth remains strong. But rising costs and tighter regulation are starting to weigh on margins. Same environment. Different pressure points. $JPM

Goldman Sachs shows where strength is right now: - Equities trading - Investment banking But fixed income and credit are softer beneath the surface. How much does that matter if capital markets stay strong? $GS

@stockpickz_hq This is very true. Pension crises across the world are putting retirement on our shoulders. Investing in more important now than ever

Your parents' retirement plan: pension + Social Security. Your retirement plan: ??? Pensions are nearly extinct. Social Security may not be enough. The responsibility has shifted entirely to you. Most people don't realize this until it's too late. Do you have a plan?

@Dividend_P That’s an easy trap for sure - an overpriced stock on sale may not actually be good value

Most people miss this: A stock that’s up 100% can be more undervalued than one that’s down 50%.

@stats_feed I think a bigger question is what is meant by “clean”. From a CO2/emissions level, Nuclear comes out very well (embodied emissions of the plant are significant, though).

⚡The most consistent U.S. power sources (capacity factor - how often they actually produce power) ⚛️ Nuclear: 91% 🌋 Geothermal: 66% 🌿 Biomass: 59% 🔥 Natural Gas (combined cycle): 58% 🪵 Wood: 57% 🪨 Coal: 49% 💧 Hydroelectric: 35% 🌬️ Wind: 34% ☀️ Solar (photovoltaic): 24% 🛢️ Petroleum (steam turbine): 11% Same grid. Completely different reliability. Solar produces power only ~1/4 of the time. Nuclear runs almost nonstop. So the real question: Should energy policy focus on “clean” - or on what actually works 24/7? 🤔

This really puts the publicity around early production challenges into perspective. Yes there were problems ramping up production but the speed that the problems were overcome compared to the time established manufacturers had to develop their production lines is in another league.

⚡ $TSLA: from 500 cars to millions One of the steepest ramps in modern industry: from a few hundred deliveries to millions in just over a decade. Now the challenge shifts: scaling from millions to tens of millions is a different game.

@Dividend_Engine Exactly - if you know the business you can better identify temporary sentimental swings from underlying shifts. That’s the difference between spotting opportunities and running in fear.

Understanding the business gives you confidence when prices move. If you don’t know what you own, every drop feels like danger... Knowledge is what prevents emotional decisions!

@ElvisAjdarpasic I think you have to understand and trust your plan in order to stick with it when emotions run high. That’s hard to do with copy and paste strategies - learning the fundamentals of investing is key.

The plan works. Until you get emotional.

Apple is navigating product delays, legal risk, and slowing services growth. So far, the market is taking it in stride. At what point do these pressures start to matter for the long-term story? $AAPL

@UltraLinx I have noticed a good step up in Codex 5.4 - it seems to be more precise

I’ve been using a mix of Codex and Claude Code but can’t really tell any difference. Anyone notice anything different? Would be interested to hear other experiences.

For now, this sits in the “watch” category. Huge opportunity — but execution (and financing) will matter just as much as demand.

Oracle Corporation recently delivered strong AI-driven growth. But the stock is down ~50% in 6 months. That tension is the real story

So the real question isn’t growth. It’s: Can Oracle turn this AI momentum into durable returns without stretching the balance sheet too far?

At the same time: • Workforce cuts up to 18% • Significant restructuring This is a company reallocating aggressively toward AI.

But this expansion comes at a cost. ~$30B raised via debt + convertible preferred stock → Higher leverage → Potential dilution

Oracle is going all in: • $50B planned AI infrastructure spend • Raised FY2027 revenue target to $90B They’re positioning themselves at the centre of AI.

The numbers look excellent: • Revenue: $17.2B (+22% YoY) • Cloud infrastructure: +84% • Backlog: $553B (+325%) AI demand is clearly accelerating.

@ScotsInvestor Auto investments are the single best tool to secure your financial future IMO

£50 auto-invested this beautiful Easter Monday morning, taking my account value to £551.95 😅 Slow and steady wins the race 🙄🤣

@TradingComposur Constant exposure = consistent learning. Learning, over time, leads to success.

Accept small losses. Protect yourself from the big ones. Keep exposing yourself to the market. Success = consistent exposure.

@danielisdizzy Yea I definitely see where you're coming from. But I think as AI becomes more "normal" to more people, we start to become less wrapped up in the novelty and a little more critical of the tools we use. That could just be wishful thinking though

@callum_morsel Interesting take, but I don’t think so. If people truly valued privacy and copyright, $META would already be out of business.

Larry Ellison $ORCL made a critical point: Models like ChatGPT, Gemini, Grok, and Llama are all trained on largely the same public data. Over time, that leads to convergence. The model stops being the differentiator. So what actually matters? Data. Proprietary data is becoming the biggest moat in AI — possibly the only one that holds long term. Companies like $HIMS are already positioned to benefit from this shift. If you own unique datasets that others can’t access, you’re not just competing… you’re operating in a different league.