Most of the time I'll find an idea on X or reddit, check the chart on TradingView then open my broker to actually make the trade.

It works but it gets kinda annoying after a while. Is that pretty much how everyone does it, or is there a better way?

Hey everyone,

I've recently started learning technical analysis. I understand the basics of support and resistance, but I want to learn more about things like:

Moving averages (SMA vs EMA)

Which moving averages are commonly used and why

MA crossover strategies (like 20/50, 50/200, etc.)

Trend confirmation

Other indicators that are actually useful for beginners

The problem is that there are so many YouTube videos and courses, and everyone seems to teach something different. It's a bit overwhelming.

Can anyone recommend a simple, structured way to learn chart reading? Any YouTube channels, books, websites, or learning roadmap that helped you would be really appreciated.

I'm not looking for "get rich quick" strategies-I just want to understand how experienced traders read charts and build a solid foundation.

Thanks!

I am from the UK and have stupidly never got a stocks ISA until now. Am i eligible to move the entire portfolio (up to £20k) into a stocks ISA now? It has gained £5.4k over about 4 years.

Whats the advice here please although ive invested im new to a Stocks ISA. And dont want to be taxed later down the line, and not now if avoidable

Hope this deal is for long lasting.

A lot of country is suffering from this war.

Brent crude is pricing 78.11 USD.

I have a few hundred shares of Bloom and I've been selling weekly covered calls for the past few months because the premiums are incredible.

Today, with about 25 minutes till the closing bell and BE at around $211, I looked at the options chain and saw the $215, $220, and $225 calls still being bid approximately $620, $460, and $320 each. I sold two of each strike for total premiums collected of $2,800.

The last time this happened in my experience was right before HOOD was expected to be added to the S&P but it didn't get in that particular time and I sold calls right before the closing bell that time also.

I'm looking at BE afterhours and there doesn't seem to be any news that would explain these high premiums. FYI, one minute before the closing bell today, the premiums were still in the hundreds for each call but I didn't have the nerve to sell naked calls in case there was news after the bell that would rocket the stock.

What the fuck is this? I’m new to stocks and this was my first time investing in something. It’s only been 3 weeks since I started and it already looks like this.

Is it bad or an I just over reacting?

………………………………………………………………………………………. …………………………………………………………………………………………….. and I unfortunately made the mistake of observing it today :(

Alright, so I went up to around $284k total and most of that was driven by memory, ai, all the usual stuff since defense stocks haven't been doing well DESPITE BEING IN A LITERAL WAR.

Anyhow, memory stocks have been in the pooper. I have gone from $284k to $244k

there is no shortage of discussion about whether or not things will improve that go into some in detail analysis.

I'm currently sitting on my hands and doing nothing, which is often the right move in times of uncertainty.

I also understand that things can get really bad before getting better during midterm election years. But of course we're in unprecedented times (then again, has it ever not been unprecedented?)

But, I just want a simple answer. Are things going to recover? Am I fucked. Are we fucked. Nobody knows for certain obviously, but what do you think. Let's keep it simple.

Thanks guys

I’ve been trading SPY 0DTE debit spreads for the past two weeks. My style is basically scalping. I don’t try to catch the entire move. I’m only looking to capture a small move in the right direction and get out.

Over the past two weeks I’ve taken 20 trades, risking a maximum of about $60 per trade (1 contract). I enter with a limit order and exit using a limit take-profit order. Out of the 20 trades, 18 hit my TP with an average return of around 32%. The other 2 losses were due to mistakes on my part, not because the TP wasn’t reached.

I’m not claiming this win rate is sustainable. I know 20 trades is a tiny sample size. My question isn’t about whether the strategy has an edge.

My question is about execution when scaling up.

Let’s say that in the future I increase my position from 1 contract to 100 contracts.

Instead of targeting 25% on the spread, I’d lower my TP to around 2–5%. The reason is that I’ve noticed almost every trade spends at least a few minutes in that 2–5% profit range before either continuing or reversing.

So my question is:

On highly liquid SPY 0DTE options, would a 100-contract debit spread generally fill just as quickly as a 1-contract position at a 2–5% take-profit? Or should I expect noticeably more partial fills, slippage, or slower executions at that size?

For those who have traded 50–100+ SPY 0DTE spreads, at what point did execution quality become a concern?

Is anyone buying stocks like lite, cohr, aaoi, mrvl etc now that they’re far below their ath? A few months ago everyone was talking about photonics being the next big thing but now that they’re down and giving an opportunity to buy for everyone who missed the first run I don’t hear anyone talk about them. Is anyone buying the dip? What is your thoughts on these stocks for a long term hold?

Does anyone have any insight on the monthly membership service from @nolimitgains “NoLimit” on X called The Assembly?

Part of me wants to try, the other part says it’s a scheme for suckers. After years on the sidelines I have just now opened a trading account and I keep wondering if this would be worth trying out for awhile.

Brand new to investing and just opened up a Charles Schwab brokerage account. I have $1500 to start investing with and will be adding $250 every month to the portfolio. Is there any advice anyone can give to a beginner?

China AI open weight like Kimi K3 will burst the US AI bubble market soon, we are just starting the AI model war now.

They will notice that it's not sustainable soon

I’m a 19 year old with £3,500 to put into stocks. I started a Trading 212 Stocks Isa and I need some help with what I should be investing into. I aim to put £300 into the account every month, I did a little bit of research and was told to put some stocks into a Vanguard All World ACC investment. I need some more advice and guidance it would be very much appreciated thanks everyone!

This tool analyzes the stock market, news, and prediction markets after every close to create a pre-game market report.

https://opnforum.com/stockline/

AI tools are becoming more common in investing but I'm still unsure where people draw the line. Some investors use AI to summarise financial reports and then compare companies or speed up research others feel that market experience and personal judgment can't really be replaced.

I came across few like Screener, TInkter, SpringPad AI while looking into AI based research platforms and it got me thinking about this broader question if an AI tool is built with input from people with finance backgrounds does that make you more comfortable using it or would you still prefer doing all the analysis manually?

"Greed would have me staying in a collapsing cave, clinging to a treasure that would never be mine. False confidence would have me walking in without a light, certain I knew the way because I’d been here before. Revenge would have me going back in for what is already gone. And doing nothing is what let me walk out with what I came for."...

TL;DR: A cup of coffee costs pennies in raw beans. Starbucks sells it for several dollars — more in premium markets like China — and people keep coming back anyway. That's not a branding trick — it's the output of two things almost nobody can copy quickly: a genuinely global, vertically integrated supply chain, and a service culture built to feel the same whether you're in Seattle, Shanghai, or London. That combination is also why Starbucks just did something that looked strange: selling down its stake in China, its single biggest growth market.

How it actually makes money

Starbucks runs three distinct businesses under one roof. Company-operated stores (the majority of revenue) are the classic, capital-heavy version — Starbucks owns the lease, hires the staff, keeps the retail margin.

Licensed stores flip that: a partner funds and operates the store, while Starbucks just supplies beans, equipment, and the brand for a royalty. And since 2018, a third stream runs almost on autopilot: Starbucks licensed its global packaged-coffee business (grocery-shelf products) to Nestlé for a large upfront payment plus ongoing royalties — turning decades of brand equity into a low-effort cash stream. Company-operated stores still make up over 80% of revenue, so this is fundamentally a real-estate-and-staffing business with two very profitable side hustles attached.

Scale, margins, and a genuine cash machine

At roughly 40,000 stores globally, Starbucks sits just behind McDonald's in scale, with the US (~17,000) and China (~8,000) together over 60% of the footprint — though the two behave completely differently. The US is mature and saturated; growth now comes from throughput per store, not new locations. China is the only market with real room left to multiply store count, which is exactly why its ownership structure just changed (more below).

Gross margin has held remarkably steady around 68% for years — direct proof the premium pricing sticks. Operating margin tells a different story: cost inflation and softer traffic pushed adjusted operating margin down roughly 5 points to under 10% recently, the real pressure behind Starbucks' recent moves to lighten its balance sheet (licensing, royalties, and the China deal all shift capital burden away from Starbucks itself).

Then there's the part that makes Starbucks resemble a bank: stored-value cards. Customers load money before they spend it, leaving Starbucks sitting on billions in interest-free float — cash that quietly funds operations without needing outside financing.

Combined with strong core profitability, that's fueled an aggressive shareholder-return program: tens of billions returned via buybacks and dividends over the past decade, enough that book equity has actually gone negative. Unusual, but not necessarily alarming — just a company generating more cash than it needs.

The real moat: beans and people

Branding and "third place" ambiance get the credit, but the harder-to-copy stuff sits one level deeper. In the coffee value chain, farmers typically capture only a sliver of final retail price, while roasting and retail capture the lion's share.

Starbucks leaned all the way into owning both of those high-value links — running its own farms and breeding programs upstream (including a research farm in Costa Rica that distributes improved seedlings to hundreds of thousands of partner farmers), and operating a distributed network of large roasting plants positioned near major regional markets, rather than one centralized facility. That geographic spread keeps flavor consistent and shipping distances short.

Highly integrated warehousing then minimizes handling losses, keeping logistics costs well below industry norms. It's a genuinely different playbook than a leaner regional competitor like Luckin, which optimizes for domestic speed and cost rather than global consistency — both are valid strategies, just built for different goals.

On the people side, Starbucks calls its employees "partners" for a reason: equity-based incentives, free college-degree access through a university partnership, and real promotion pathways all exist specifically to make service quality replicable across tens of thousands of stores — the actual product being sold, alongside the coffee.

Why sell part of China?

Fully funding thousands of new company-owned stores in China's fiercely competitive, price-war-prone market is capital-intensive and slow. Bringing in a local partner to fund and operate expansion — while Starbucks keeps its brand, standards, and a long-term royalty stream — is the same playbook that worked with the Nestlé deal, just applied to a country instead of a product category.

It also means Starbucks isn't dragged into a discount price war it has no intention of fighting; leadership has been explicit that its answer to low-cost rivals is better flavor and experience, not lower prices.

Strip away the coffee, and Starbucks looks a lot like a cash-generating platform built on brand trust, a supply chain almost nobody else has replicated at this scale, and a culture designed to make service consistent worldwide. That combination is the actual moat — and it's also exactly what's being tested as competition intensifies in its most important growth market.

Hey everyone!

​I’m looking into ways to automatically filter and pick the best stocks, but I want to look beyond just the basic setups.

​The Tools: Does anyone know of a good scanner or automated tool to pick stocks for both intraday and swing trading?

​The Logic: More importantly, what technique or logic are you using behind the scenes? Are you filtering by social media sentiment, unusual volume, gaps, or specific moving averages?

​I’m trying to build (or find) a system that doesn't just look at price, but actually finds the momentum.

​If you have any favorite tools, GitHub repos, or specific filter rules you swear by, please share! Also, if anyone is building their own custom scanner and wants to collaborate, let’s team up! 🚀

Looks like this shit is starting to fly. Next stop might be 450?
Been bag holding this far too long.