u/saintshing

On mobile, use Chrome instead of Google and choose Desktop site in setting.

He copied the news from wallstengine. The picks are from x accounts like serenity and pennycheck. The regime has already shifted away from trading ai supply chain bottleneck(to software, biotech, commodities). Many of these stock pickers on x are terrible at technical trading, don't notice sector rotation and are permabull for certain themes. They are good when the theme is in trend. Same thing happened last cycle for nuclear, quantum, space.

bitcoin has a different price in Korea?

related

https://www.reddit.com/r/LocalLLaMA/comments/1mr8rfh/analysis_on_hyped_hierarchical_reasoning_model/

SpaceXAI rented out Collosus 1 to Anthropic.

Many critical photonics suppliers are from Asia and Europe. FOTO seem to have only US stocks. LYTE should have Asian stocks like DRAM. It would be interesting for people who can't buy them with their brokers.

https://x.com/i/status/2058612863158432121

Same short seller as last October

https://x.com/FuzzyPandaShort/status/2054537279746826444

Use an unitree g1 to operate it

Did it work?

The proof of the Four Color Theorem involved using computer to check that thousands of specific configuration could be colored using four colors.

Mixture of Experts (MoE) was originally invented by Robert Jacobs and Geoffrey Hinton in their 1991 paper, "Adaptive Mixtures of Local Experts".

Key figures in the development and evolution of MoE include:

1991 (Origin): Robert Jacobs and Geoffrey Hinton introduced the foundational concept, with contributions from Michael I. Jordan and Steven Nowlan.

1994 (Hierarchical): Michael I. Jordan and Robert A. Jacobs developed the "Hierarchical Mixtures of Experts".

2013-2017 (Deep Learning Integration): Researchers including David Eigen, Marc'Aurelio Ranzato, and Ilya Sutskever worked on integrating MoE into deep neural networks.

2017 (Sparse MoE): Noam Shazeer and colleagues at Google Brain (including Geoffrey Hinton and Jeff Dean) introduced "Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer," which enabled scaling to billions of parameters.

Why buy after the earning spike? Is it some legal requirement?

The CEO has a really shitty track record. That is enough of a red flag for me.

That's because he has way more games on briar than trundle(literally only one soloq game). His winrate as briar is only 1% higher than his cho(only other champ with more than 4 games) and he is actually terrible at using briar ult.

i think it'd be hilarious if someone makes a satirical series of ridiculous super over-the-top ai generated ads in the same style.

It seems to be backed by stat https://imgur.com/a/HGfIQ7z

In Hongkong/Japan, it's not considered dangerous to leave your belongings unattended for a short period of time in a student study room full of people, exactly because this happens so rarely.

These happened recently

https://www.reddit.com/r/uwaterloo/s/XwRc1RiagM

Cambridge man arrested after riding stolen bike with ‘inert grenade’ at UW main campus
https://kitchener.citynews.ca/2025/07/22/police-investigation-at-uw-main-campus-tuesday-morning/

https://www.reddit.com/r/uwaterloo/s/s41y2lOtSb

https://www.reddit.com/r/uwaterloo/s/JHfyCH1sz8

https://www.waterloochronicle.ca/news/crime/laptop-thefts-on-the-rise-in-northdale-area-of-waterloo-police-say/article_5b2c7c16-cb75-515f-bced-e208410f241f.html

https://www.reddit.com/r/uwaterloo/s/Ypf7jjaUwf

May have something to do with the AWS outage

Thanks

Someone spent $2M to buy TSLL $30 call exp on 01/21/2028. Why would they buy leap calls on a leveraged etf of a highly volatile stocks instead of buying TSLA call?

The workaround doesn't work any more.

https://x.com/ronakshah12345/status/1973361072804602363

I have trouble visualising the tradeoffs between different variables. Is there an option simulation tool that lets me set the trajectories of price movement+iv change and see how the prices of two contracts change as I adjust the expiry dates/strike prices?

Or is it that structurally, leveraged funds are likely to lose value over time, so maybe the inflated IV represents that intrinsic expected loss?

I thought leveraged funds lose value over time because they usually increase gradually and have sharp dips once in a while. Since LLY just had a big dip recently, this is unlikely to happen again soon. That's the assumption I wanted to exploit.

It's the same settings I have always used. I was able to place orders in premarket before. It works again now. Still not sure about the reason. I almost panicked. Couldn't find an active user forum to seek help.

Thanks for your detailed answer.

Sounds like you are under-capitalized to be trading options at all, then.

I agree this is probably my biggest issue.

But all of the premium is time value, so instead of only part of the premium being at risk of time decay when ITM, all of it is at risk. Plus, OTM is lower delta, so if the underlying moves favorably, you get less of a gain for the same $1 move of the underlying.

So I should go ITM even if I expect the stock price to go ITM eventually? If I buy ITM, doesn't the time value part is still at risk but now I also risk losing the intrinsic value too?

Regarding leveraged etfs, what I noticed was that LLYX had much higher IV30 % Rank than LLY. People seem to be willing to pay more for options of LLYX. According to marketchameleon, current 20D HV and 252D HV of LLYX are 2 times that of LLY but current IV of LLYX is like 2.18 times that of LLY.

It seems Marketchameleon shows only the overall iv for a stock. https://marketchameleon.com/Overview/LLY/IV/ I thought it applied to all options. That makes a lot of sense.

Is there a way to see the iv change of long dated options only?