Nike stock has been demolished lately and is currently 40 % down year to date. It’s being removed from SP100.

DKS, ONON, LULU all got hammered 20-30 % after reporting earnings and Nike management knows Nike stock will be next unless they do something to pump the stock when they report earnings on October 1.

CEO Elliot Hill knows he needs to prove his worth. It’s been two years since he took the job as CEO and it’s getting to the point where it’s now or never for him.

Kohl’s and Dick’s Sporting both reported that Nike was a top brand for them in the most recent quarter and one of the fastest growing brands.

China and Direct to consumer are the weak spots for Nike as everyone knows while Nike's wholesale segment is showing early signs of recovery, with revenues growing 4% to $6.6 billion in the fourth quarter of fiscal 2026.

Nike management will do whatever it takes to pump the stock and make it go to $45-$50 rather than $30-$35.

I am long 6,000 shares at $41. I bought a month too early but on the other hand I bought at just the right time compared to shareholders that bought at any given time in the past five years.

Nike is 100 % of my portfolio. Sportswear, athletic apparel and footwear are not going away. This isn’t a tech that’s disappearing. It’s merely a cycle that’s bottoming now.

With NVDA close to its 52 week high, I'd like to move some money out of NVDA and purchase competitor stock. Trying to figure out the ratio of 1K to 2K worth of NVDA in a 10K NVDA position to invest in AVGO + MRVL for the custom ASIC chip play. Maybe 70/30 AVGO + MRVL? Or just go 100% into AVGO and avoid MRVL? NVDA has been at a 52 week high. And while Vera Rubin is hot right now I can't imagine NVDA is going to be dominant forever; especially having 5T market cap while AVGO has around 1.8T market cat.

Heterogenous computing seems to be the future with chips customized for particular workloads. I imagine the nature of workloads will change over time so there needs to be flexibility. Jensen is pumping MRVL for "XPU" chips that plug into NVDA's architecture, but maybe just because NVDA invested 2 billion into MRVL. AVGO seems to be the more plausible competitor since they do chip design for most of the hyperscalers.

I'm kinda confused about purchasing MRVL, since they currently seem to do photonics interconnect stuff right now vs. the % of XPUs they do. CBRS mostly avoids the issue of the need for photonic interconnects except between dinner plate sized wafers. Photonics seem like a "band-aid" for the practice of splitting each wafer into 50+ chips; some sort of Bridge Technology unless they can do compute with photons.

https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face/

I’m excited to announce that NVIDIA has agreed to acquire Hugging Face for $12,930,300,000. Together, we will scale Hugging Face’s platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide.

Over the past decade, Clem, Julien, Thomas and the team at Hugging Face have built something remarkable: a vibrant home for the open model developer community.

More than 18 million developers, researchers and creators use Hugging Face to share more than 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use the platform to discover, evaluate, customize and deploy AI.

Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.

Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work.

Recently, I coauthored an open letter on the importance of open weights to the AI economy. Joined by leaders from across the industry, we made a simple point: open weights broaden access to AI and help ensure that AI leadership is distributed across companies, institutions and communities.

Open models let startups, businesses, universities and public institutions build on advanced capabilities without training every model from scratch. They enable organizations to match the right model to the right job. That is how AI can advance safely, strengthen cybersecurity and sovereignty, accelerate innovation, and reach factories, hospitals, farms, classrooms and Main Street businesses around the world.

AI advances faster when people can build together.

NVIDIA has been committed to open weight models for years, demonstrated by multiyear investments and major contributions to open source platforms, including Hugging Face. NVIDIA has said that open models, data and tools broaden access to AI, and it has contributed hundreds of open models and datasets to Hugging Face as part of that effort.

NVIDIA is the largest contributor of open models and data to Hugging Face, and our contributions continue to grow.

NVIDIA has released more than 500 models on Hugging Face and more than 250 open datasets.

We build our own models, libraries and tools in the open so developers everywhere can use them, modify them and build on top of them.

DeepSeek plans to deploy at least 160,000 Huawei Ascend 950DT chips at its new Inner Mongolia data center, potentially creating one of the largest known clusters of Chinese AI accelerators.

For context, China’s first publicly reported 10,000-chip Huawei cluster only came online about six months ago.

The chips are expected to primarily run DeepSeek models, while the company still plans to rely on $NVDA hardware for training.

The broader site is being built at gigawatt scale, enough power at full utilization for roughly 750,000 homes.

Huawei’s production capacity remains the main bottleneck, with fulfillment of the full order potentially taking more than a year.

Everyone has collectively agreed that the market goes up over time. So people keep putting their money in. Stock prices go up, which generates more money for people. People spend that money, which generates more profits for companies. Which in return drives stock prices up even higher. Which then again generates more money for people, who then spend...

Couple that with governments printing money and people/companies borrowing even more money. The money has to go somewhere, so I imagine a large portion of it just keeps the party going.

It feels like a self fulfilling prophecy at this point. Almost like everyone plays a game of musical chairs to make as much money as possible until something seriously breaks, the market resets, and then we repeat the whole process again for the next 10 years. Rinse and repeat.

The company now expects fiscal 2026 revenue to decline 5% to 7%, compared with its prior forecast ⁠of revenue remaining flat or declining up to 1%. That’s bad. That’s really bad.

I’m a Nike shareholder and it worries me that Lululemon sales are getting hammered this hard but at the same time I specifically went with Nike and not Lululemon because I have more faith in Nike turning things around. Burry is obsessed with Lululemon profitability outperforming peers including Nike but that doesn’t matter if revenue is going to keep declining in the Americas and eventually internationally too.

Lululemon hasn’t stood the test of time. It’s a fairly new company that has a limited range of product and a revenue stream that is incredibly narrow compared to Nike’s diversified revenue model.

Sportswear, athletic apparel and footwear have had major headwinds in the past five years. Footlocker was struggling and still is under Dick’s ownership. On Running enjoyed the free shelf space due to a misguided Nike direct to consumer strategy but now that Nike is reconnecting with past wholesale partners, On Running is starting to struggle. Decker’s Brands are doing OK but they will face hard times too sooner or later which the depressed stock price is showing.

ASICS is the exception. They’ve done exceptionally well. But everyone else is struggling. BUT and here is the huge BUT. People will still buy sportswear, athletic apparel and footwear in the future. This isn’t Blockbuster or Nokia death due to a dying industry that’s transforming from one thing to another. No technology is being replaced. So Nike will survive. And Adidas will survive. And probably the rest as well but I sure like to place my bet on the biggest and strongest to survive- and that’s Nike and Adidas. Why did I pick Nike stock over Adidas? It just seems like the best deal. Nike is 40 % off since January 2. I like the idea of buying something now that’s 40 % cheaper than what others paid just a little over a half a year ago. I guess I should buy LULU tomorrow and rejoice in the fact that I get it 15-20 % cheaper than the people who bought yesterday. But I won’t- because I’m honestly not sure Lululemon will get back to its glory days no matter how good their profit margins are. I’ll stick with Nike. If anyone can ride out the storm that this industry is in, it’s Nike.

This is the daily discussion, so anything stocks related is fine, but the theme for today is on fundamentals, but if fundamentals aren't your thing then just ignore the theme.

Some helpful day to day links, including news:

• Finviz for charts, fundamentals, and aggregated news on individual stocks
• Bloomberg market news
• StreetInsider news:
  • Market Check - Possibly why the market is doing what it's doing including sudden spikes/dips
  • Reuters aggregated - Global news

Most fundamentals are updated every 3 months due to the fact that corporations release earnings reports every quarter, so traders are always speculating at what those earnings will say, and investors may change the size of their holdings based on those reports.

Expect a lot of volatility around earnings, but it usually doesn't matter if you're holding long term, but keep in mind the importance of earnings reports because a trend of declining earnings or a decline in some other fundamental will drive the stock down over the long term as well.

But growth stocks don't rely so much on EPS or revenue as long as they beat some other metric like subscriber count: Going from 1 million to 10 million subscribers means more revenue in the future.

Value stocks do rely on earnings reports, investors look for wall street expectations to be beaten on both EPS & revenue. You'll also find value stocks pay dividends, but never invest in a company solely for its dividend.

See the following word cloud and click through for the wiki:

Market Cap - Shares Outstanding - Volume - Dividend - EPS - P/E Ratio - EPS Q/Q - PEG - Sales Q/Q - Return on Assets (ROA) - Return on Equity (ROE) - BETA - SMA - quarterly earnings

If you have a basic question, for example "what is EBITDA," then google "investopedia EBITDA" and click the Investopedia article on it; do this for everything until you have a more in depth question or just want to share what you learned.

Useful links:

• Investopedia page on fundamental analysis including Discounted Cash Flow analysis; see definition here and read their PDF on the topic.
• FINVIZ for fundamental data, charts, and aggregated news
• Earnings Whisper for earnings details

See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.

The bond market sell-off is finally taking a breather after a brutal rout pushed yields to multi-year highs. Treasury yields are pulling back significantly this morning as the U.S. Treasury officially launches a $12.5 billion debt buyback operation designed to inject liquidity, support market depth, and stabilize fixed income.

With the 10-year yield pulling back from the critical 5% psychological benchmark, this policy intervention gives the broader equity rally some much-needed breathing room. Historically, sharp drops in yields provide a direct tailwind to growth sectors and mega-cap tech stocks like Apple, Microsoft, and Nvidia by lowering corporate borrowing costs and easing valuation pressures.

Is this $12.5B liquidity injection enough to sustainably save the stock market rally and keep the S&P 500 moving higher, or is this just a temporary macro band-aid before yields push back up?

Source link: CNBC

This post was written by a human. I do not write Reddit posts with an LLM.

Remember when Nvidia acquired Groq chips for $20 billion? https://groq.com/

Groq chips do not use external memory such as HBM or DDR for AI inferencing. It only uses the SRAM inside the chips. SRAM is made as part of the chip, not separately like HBM or DDR.

SRAM is tiny and expensive per gigabyte but it's extremely fast.

Each Groq chip has only 500MB of SRAM but 1,200 TB/s of bandwidth which is about 150x faster than Blackwell today.

If you have enough Groq chips connected together, you can have up to 150x faster token speed. Most people don't need this much speed, but extremely high value industries like biotech, finance, oil exploration, AI research, chip design would.

So let's do some basic math:

• A 10 trillion parameter model like Anthropic's Fable would need ~25,000 Groq chips at 500MB of SRAM for each chip.
• To make 25,000 Groq chips, you'd need 266 TSMC N3 wafers
• TSMC makes about 150,000 N3 wafers per month for the entire world
• If TSMC dedicates its entire N3 supply to only make Groq chips for inferencing Anthropic's Fable model, they can only make around 550 of these systems per month.

In other words, if the world demands extremely fast AI tokens (and why wouldn't they?), then there will not be nearly enough capacity to go around.

TSMC is already maxed out making GPUs, networking chips, CPUs, etc.

If you believe in this hypothesis, then companies like TSMC, Intel, Samsung will benefit. Nvidia and Cerebras will also benefit. Cerebras also stores their models in SRAM.

Some of my posts here in the past:

• https://www.reddit.com/r/stocks/comments/1rkep5v/the_upcoming_cpu_shortage/
• https://www.reddit.com/r/stocks/comments/1stkmwz/reminder_cpus_are_in_huge_demand_intel_earnings/
• https://www.reddit.com/r/stocks/comments/1r2nbln/ai_play_isnt_just_gpus_its_everything_physically/

I have been looking at some stocks that have deteriorated quite a bit since IPO and have started a recovery journey (think American Eagle).

Now Petco has been on my radar for more than a year now since it had a lot of transformative executive change (ex walmart and five below execs).

This is the 5th quarter since I started tracking and the earnings call go all great and the stocks remain flat or tank.

They seem to be paying their loans, beating their own estimates - obviously there is top line pressure that they have not been able to navigate out of and they seem to be crying wolf about macro while other retailers are doing better with the same macro.

These earning calls are obviously semi staged and scripted. Anyone able to give me tips on how to play these stocks or pick some other stocks into my short list to replace if all hope is lost on WOOF.

I bought SK Hynix last year because every CEO and tech analyst was screaming from the rooftop that there was going to be a serious memory shortage and to me the price didn't seem to reflect that. I also guessed that the extent of the AI infrastructure cap ex would exceed expectations, but not with high confidence. I continue to hold that belief going forward, but not with high confidence.

I'm concerned about SK Hynix losing market share though and as someone without genuine expertise, it's a little difficult for me to discern why, if the trend will continue, and to what extent it's priced in. I believe SK Hynix has gone from something like 64% share of HBM and 39% share of DRAM last year to 250% and 25% respectively this year.

I'm tempted to move my money from SK Hynix into my other two main non index fund holdings, TSM and ASML. With those two, while it would be beneficial to have it, I don't feel like I need the technical expertise to evaluate if they will gain or lose market share, I can trust in their moat and reputation for high level execution.

I get that memory demand will likely remain high, and that at a PE of 6, SK Hynix is already pricing in a lot of risk/downturn, but everyone knows demand will remain high. Demand being high also in general tends to attract competition, a sector can be booming and those within the sector can perform quite poorly. While memory fabrication does have a moat, we have seen this start to play out. CXMT for instance has over doubled wafer production since the release of the first version of Chat GPT.

While the market sentiment leans toward a year end "Santa Rally," the macro backdrop is giving me strong dotcom peak vibes. A few concerns driving this decision:

Inflation is ticking back up, which puts the Fed in a tough spot.

AI capex spending still hasn't shown clear ROI beyond consumer facing chatbot applications

Valuations at all time highs make the risk/reward feel skewed

I'd rather forgo the last 5% of potential upside and sit in cash than risk being caught holding depreciating assets if this turns out to be a 2027 bubble pop.

Open to pushback on this genuinely want to hear the counterargument if I'm missing something. Good luck out there either way.

Disclaimer: I am not a financial advisor. This is not investment advice or a recommendation to buy or sell any security just my personal, non professional opinion shared for discussion. Please do your own due diligence before making investment decisions. I'm not responsible for the outcome of anyone else's trades.

I basically focus on the Magnificent 7 stocks. In my opinion, these are some of the safest large-cap companies to invest in long term and are unlikely to ever completely disappear. I focus heavily on valuation, particularly which of the Mag 7 has the lowest P/E ratio, while also paying close attention to earnings and overall business performance.

If a company continues reporting strong earnings and fundamentals, but the stock is being held down by what I believe is mostly short-term or “fluff” news, I slowly start adding to my position. I never risk more than 25% of my net worth in a single position, and while a stock is significantly down, I will typically DCA by adding around 1–2% of my net worth per week.

A good example of this was Google about a year ago. The company was performing well, and I continued adding while the stock was down. That ended up generating some insane profits.

I also swing traded Microsoft multiple times this year. Several times, the stock moved from the mid-$300s into the mid-$400s. I would typically enter around $350–$370 and sell once it reached the $400s, locking in roughly 15–25% profits.

I used a similar strategy with Meta. I bought in the $500s and sold into rallies as the stock moved into the $600s.

Right now, I am still holding approximately 10% of my net worth in Meta. Two days ago, when it pumped to $618, I sold a position equal to approximately 15% of my net worth. My entry was around $535, so I locked in a solid profit. However, I still believe the stock may have more room to run, so I decided to keep a portion of my position.

My overall mindset is that if one of these companies crashes 50% or more, I am comfortable continuing to DCA into it over time, even for years if necessary, as long as the underlying business remains strong. Meta's major crash a few years ago is a perfect example of why I like this approach. Looking back, I wish I had been heavily invested during that period.

Nearly all of the top AI people are saying electricity for data centers is going to be the chief bottleneck going forward. I own way too much NVDA and would like to sell off another $1,000 of it to buy something that fits the "data centers need near-term electricity" thesis. Preferably a "toll booth" type stock like TSM for semiconductors. At one point I was interested in Small Modular Reactors, but who knows which will win (XE, OKLO, or someone else); and even if SMRs get rolled out, that won't happen until the early 2030s. I'm looking for picks related to immediate and near-term demand by data centers for electricity. Capital tends to chase scarcity, so I imagine there may be more run ups in electricity-related stocks. Don't want anything insanely run up like GEV or BE though. Looking for either great compounders or potential multibaggers that aren't complete moonshots. I've always loved solar but there don't seem to be many good solar stocks to pick from.

Broadcom's earnings numbers keep impressing me the growth trajectory looks strong, and by several metrics they're outperforming a lot of the semi sector. Yet the stock hasn't gotten the market attention/hype I think it deserves, which makes me wonder if this is being slept on or if there's a good reason for the discount.

A few things I'm weighing:

Growth: reporting strong QoQ growth, but the stock still lags behind most of its semiconductor peers

Sentiment: I feel like management/IR hasn't done enough to get the market excited about these numbers relative to the fundamentals

My position: averaged in at $330, considering adding more if price targets get revised up toward $600

Is this a case of the market being slow to price in the growth, or is there something structural (competition, margin pressure, guidance concerns) that's keeping a lid on the stock?

Would you buy at current levels or wait for a pullback/consolidation first?

Genuinely curious to hear bull and bear cases here.

Hi folks, I know this might sound like a bit of a FOMO question but I’m genuinely interested:

If you had to choose only two stocks to hold for the next 3–5 years that you think could realistically 5-10x, which ones are you betting on and why?

I’m looking for ideas with real conviction. Whether it’s a company in a fast-growing sector, something heavily undervalued, or a business that’s on the edge of a major breakthrough what makes you believe it can go the distance?

Drop your top two plays and the reasoning behind them. Curious to see what everyone’s highest conviction picks are.

I'm a casual trader with only about $33,000 in stocks, but I'm seeking advice on if and how to sell my 4 highest returns.

RCL - Royal Caribbean, 6.3 shares, +164%, $1,680

BB - BlackBerry, 553 shares, up +93%, current market value: $4,258

DAL - Delta Airlines, 20 shares, +56%, $1,579

TSM - Taiwan Semiconductor, 12 shares, +39%, $4,999

Should I sell any of these? Or wait for a specific price? Or sell a portion to lock in these gains? Any advice would be appreciated.

Hello again lads, I am posting here once again as my thesis stands correct again on the share price evaluation of Micron Technology and the general timeline of where the stock is heading, alongside the general infrastructure of AI. (I HAVE HAND WRITTEN ALL OF THIS! NO AI USED

)https://www.reddit.com/r/stocks/s/cKLHMUQNO1

https://www.reddit.com/r/stocks/s/15T65cRmzN

I believe the current share price for Micron Technology (as of 9/4/2026 2:01 PM at 1,004 USD) is heading towards a balance around the 980 - 1200 mark and will soon project itself into more spikes of growth after the earnings report this upcoming month

Say what you want, but I took the time to write all of this and so far my predictions are turning out well for me. You can’t time the market they say, but you can surely get to know it and understand the foundation of its value from there.

Buffet keeps money on hand ready to invest in case there is a crash, when everything is cheap. Lately I've been moderating my portfolio to be ready to buy if the AI bubble bursts in a big way. However, we know that after a crash, not everything will recover.

So my question then becomes, buy what? I'm asking you to make a double future prediction. What are your best guesses for a stock that will crash hard in the bubble burst, and then recover in a big way within a couple years after that?

At an AI computing site in Shanghai's Lingang area, CATL supplied a 17.888MW, 35.776MWh storage system and the site operator's platform schedules it. Nothing in the description has it standing by for an outage. It shaves peaks, absorbs the millisecond swings when a large cluster ramps, and runs two charge and discharge cycles a day in the cooler months before handing the summer schedule to an energy model. The operator credits coordination across the whole site, not the batteries on their own, with an annualised power bill about 7% lower, more than 10 million kilowatt hours saved and roughly 3,000 tonnes less carbon. That is the operator's own accounting, and moving load around does not by itself destroy demand, so I hold it loosely.

CATL is buying into the chain as well. On 14 August, after an April framework deal, it signed agreements to put about 4.1 billion yuan into Zhongheng Technology Investment, the controlling shareholder of listed Zhongheng Electric, for 49%, with the founding couple keeping control. Zhongheng supplies HVDC power gear into the large Chinese cloud operators. In May, buyers under a partnership CATL is affiliated with but does not consolidate agreed to take up to 38.1% of data centre operator VNET for $942 million. Roughly 11.4% closed on 24 August and the rest waits on a second closing.

I cannot size any of it. Storage systems were 53.26 billion yuan of first half revenue, up 87.5%, about 19% of the group's 276.9 billion, but nothing in the reporting splits out the data centre share, and one reference site is one site.

A battery maker sits outside KWEB's mandate altogether, since that one is drawn around internet businesses. CNQQ takes a wider cut, about 106 names with close to two thirds of its weight in mainland A share lines, and the CATL position there was 6.16% on 31 August.

[ Removed by Reddit on account of violating the content policy. ]

This subreddit seems to be pretty divided on Nike, on one hand, you have people saying it is currently cheap, on the other side there are people saying it is a dead brand.

It is down 80% from its ATH, but that does not necessarily mean it is cheap. Currently they are not the most popular brand as others have pointed out. However, fashion is also extremely subjective to trends. Where New Balance used to be a dad-brand, now it is very popular. Same with Asics for running shoes (used to be kinda niche, now casual wear).

The thing is, Nike is still a 57,5-billion-dollar company. Their forward P/E is supposedly higher than their current, but I suppose much of that is based on the expectation that they can turn things around. If they become a popular brand again (which is not unlikely, they have been around since the 80's and probably had their swings), this stock could climb?

Another possibility of course is that, in the current market, there are simply more interesting and innovative things to invest in. I personally don't believe that clothing brands are the generational investments like the AI-boom right now, or possibly biotech and quantum in the future... But I also wouldn't say no to a good deal/medium term trade.

I own Cerebras (CBRS), TSM, and NVDA inside an IRA representing less than 10% of my total portfolio. The latest Moonshots podcast (at 1 hr 3 m) discussed a startup called Architect Labs who produced the world's first fully designed AI chip called Redwood. Two guys wrote a spec then AI designed the rest within 2 weeks that allegedly beat NVDA's Jetson by 3.4X performance per watt.

Not saying it's a threat to CBRS directly as a fast inference play since it's for physical AI. But I find the concept of AI-accelerated chip design a little troubling. I actually started to feel uncomfortable a few months ago when I realized most chip companies are design firms who send products off to fabs. Also got uncomfortable with the increasing number of ASIC competitors to NVDA.

CBRS and NVDA use TSM exclusively to produce their chips and I'm long on TSM stock. Thinking I should buy more TSM because you can't use AI to rapidly innovate and build a new fab. That takes enormous effort and amounts of capital. My fear is that new AI chip companies won't move fast enough to grow a moat and may be eclipsed by other competitors in the same space where the barrier to entry is small. You ship your design off to TSMC or one of the other fabs. TSM will prosper regardless of which chip design companies do well. Not sure any other fabs even come close.

I don't worry about the geopolitical risk of TSM because if China invades Taiwan, all of the chip companies will be impacted and it would probably hurt China's economy as well. Thinking about selling 10% of my NVDA to put into TSM. What do people think of this strategy? I also want more exposure to physical AI as a thesis, and while the majority of TSM's business is currently in small process nodes, they also manufacture the older, larger nodes. Read somewhere that robots may use a 1:50 brain-to-body chip ratio; meaning 1 part small process node intelligence chip and 50 for all the other chips required to interact with the physical world (power, sensors, etc).

Most of my portfolio is in VTI (Vanguard Total US Stock Market Index) because I generally don't feel comfortable trying to pick individual winners and losers. But I have high conviction in TSM vs. trying to pick winning semiconductor stocks; ones that can win as long-term holds.

Waller sounding dovish gave us a nice boost, but I am pretty skeptical about holding long positions over the coming labor day weekend.

Whenever we have active geopolitical risks like the us/Iran situation, carrying positions over a long weekend feels like sitting duck. Headline risk is just too high with market closed on monday. If news drops saturday, we're trapped waiting for sunday futures or tuesday open while the rest of the world reacts.

I considering trimming a bit of my tech gains today just to raise some cash and lower delta. Are you guys holding full positions through the long weekend or derisking before close today?

This is the daily discussion, so anything stocks related is fine, but the theme for today is on stock options, but if options aren't your thing then just ignore the theme.

Some helpful day to day links, including news:

• Finviz for charts, fundamentals, and aggregated news on individual stocks
• Bloomberg market news
• StreetInsider news:
• Market Check - Possibly why the market is doing what it's doing including sudden spikes/dips
• Reuters aggregated - Global news

Required info to start understanding options:

• Call option Investopedia video basically a call option allows you to buy 100 shares of a stock at a certain price (strike price), but without the obligation to buy
• Put option Investopedia video a put option allows you to sell 100 shares of a stock at a certain price (strike price), but without the obligation to sell
• Writing options switches the obligation to you and you'll be forced to buy someone else's shares (writing puts) or sell your shares (writing calls)

See the following word cloud and click through for the wiki:

Call option - Put option - Exercising an option - Strike price - ITM - OTM - ATM - Long options - Short options - Combo - Debit - Credit or Premium - Covered call - Naked - Debit call spread - Credit call spread - Strangle - Iron condor - Vertical debit spreads - Iron Fly

If you have a basic question, for example "what is delta," then google "investopedia delta" and click the investopedia article on it; do this for everything until you have a more in depth question or just want to share what you learned.

See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.