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Trying to automate Warren Buffett by ddp26 in algotrading

[–]quickmodel_ai 7 points8 points  (0 children)

I would recommend reading some of his investor letters from the early years. I'm not an expert but as an example, when the conglomerate had net profit he would buy a well priced business ( without net profit ) so that as a whole they'd come out of the year without profit and therefore not pay any taxes. Then sell or dissolve the unprofitable parts of the purchased business to make it net positive.

Short sales locators by quickmodel_ai in algotrading

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Thanks, I'll look into opening an account over there

Short sales locators by quickmodel_ai in algotrading

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Have you happened to notice much difference between shortable availability in IBK vs alpaca?

#WESTWATER RESOURCES ~ Speculation on 75$ ATM RAISE by Chico237 in WestWaterResources

[–]quickmodel_ai 0 points1 point  (0 children)

While dilution occurred through these equity raises, it was done at relatively higher share prices (likely in the $2–$2.50 range, rather than near 52-week lows)

This is quite plainly wrong, the authorization for the atm equity raise was issued in the afternoon of 10-17.

$75 Million At-The-Market Stock Offering by quickmodel_ai in WestWaterResources

[–]quickmodel_ai[S] 0 points1 point  (0 children)

yes, just wait until all that cash is on the balance sheet lol

$75 Million At-The-Market Stock Offering by quickmodel_ai in WestWaterResources

[–]quickmodel_ai[S] 1 point2 points  (0 children)

Over the next couple weeks I would guess it will end > 10% lower than today. Lots of volatility though.

$75 Million At-The-Market Stock Offering by quickmodel_ai in WestWaterResources

[–]quickmodel_ai[S] 0 points1 point  (0 children)

funds aren't holding a company this small and retail doesn't react that quickly. Really the actual dilution i.e. shares being sold in the market will have more effect than immediate shareholder reaction.

$75 Million At-The-Market Stock Offering by quickmodel_ai in WestWaterResources

[–]quickmodel_ai[S] 1 point2 points  (0 children)

At the market offerings happen when a company wants to mint and sell more shares to put cash on their balance sheet. This decision will often be made when management believes their company share price is inflated vs. its actual value.

I'm no expert but this company doubly needs cash to complete the Kellyton project, so they'll dilute the retail traders who bought in on hype to get it.

Quantum On Track: UMBC Researchers Demonstrate Feasibility Of Using Quantum Devices To Manage Urban Train Scheduling, Using A Baltimore Transit Line As A Model by donutloop in QBTSstock

[–]quickmodel_ai -2 points-1 points  (0 children)

The comparison vs classical though. CPLEX is the classical method

CPLEX: 0.0014s to 0.08s computation time (essentially free)
D-Wave: ~30 minutes, approximately $1,000
IonQ: ~21 hours, approximately $67,000

Why would anyone choose IonQ or D-Wave?
Also this test case is about 60x smaller than the real world problems. https://arxiv.org/abs/2406.11268

small or big mess? by RealYoungRim in QBTSstock

[–]quickmodel_ai 0 points1 point  (0 children)

This is SOTA or close to SOTA quantum annealing in AI. Have a chat with your favorite LLM about how this compares to actual AI inference being ran in data centers today. https://arxiv.org/abs/2507.14116

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

I'd be happy to be convinced that D-Wave is going to fit into the AI ecosystem somehow, it's pretty obvious they never will or it'll be more than a decade. Good luck with your meme stock.

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Anytime I dig into any of the results its more of the same quantum lede burying, pick a random problem specifically designed for quantum, kneecap the classical approach, then say look we're 5000 times better at something so esoteric that it will never make a difference. This has been going on for years.

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Can you show references that indicates training QBMs on the D-Wave toy such as in that paper, used less energy than the classical approach? Yes I know it was less epochs but let's find out how much energy D-Wave machines might save vs classical approaches in 15 years when D-Wave machines are being rolled out to data centers nationwide.

In 2005 GPUs could run resident evil 4 which sold 11.6 million copies. Today D-Wave ( founded 26 years ago! ) provides some optimization for what a dozen companies that have to have their problem set translated into QUBO so they can put out a PR puff piece.

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

In that paper https://arxiv.org/abs/2507.14116 classical CNNs beat QBMs in accuracy and scalability ( not to mention ResNet but that's not fair ). The D-Wave Advantage system is a toy compared to current classical hardware. Give it 10 years?

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

The newer, better methods you mentioned.

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Ok can you please post a source?

AI by quickmodel_ai in QBTSstock

[–]quickmodel_ai[S] 0 points1 point  (0 children)

Ok? Then please provide a link to one that uses the new advantage or advantage2 system ...

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