GPT
EA Series Trust Intelligent Alpha Atlas ETF
stock NASDAQ ETF

If you use GPT 5.1 ChatGPT already responds with weaving ads into responses.

And then GPT came out. And the nosedive continued.

It isn't a powerful, all-purpose trawling net that faithfully catches every story, large or small. It's a secondary news aggregator that gets a steady trickle of news from the handful of news services Schwab pays for. (Which is why you'll see lots of Bezinga, Reuters.)
This is useful enough for a few breaking news items... like 8:30am employment and interest rate reports. (But for that, I just go to SPY a few times a day, and open news, as most of the gov data is appended to that ticker.)
But it isn't a “complete, global news-wire terminal.” For that you might want a dedicated news-terminal (e.g., Bloomberg, Refinitiv) that integrates dozens of wires, analyst notes, local reporting, regulatory filings, etc.
It has a fairly parochial bias (US crap, a few major tech companies), and it rarely has stories you can't get on any number of free news aggregators like yahoo finance. I find it mostly useful as an after-the-fact glimpse at the news, when I see something pop or drop unexpectedly in my watchlist. But for deep dives or reliable as-they-happen news you almost certainly will want to look elsewhere.
I would just ask GPT for the best (deepest, widest, fastest, etc) news aggregator or news feed, from free to paid subscription, and use TOS news as a handy little tool when you're only semi-curious.

Your logic is mostly wrong. Ask chat GPT to explain it to you, it does a really good job.
Basically you should do pretax in almost all cases because the benefit of lowering taxes TODAY is the optimal benefit. Deferred growth, auto DCA, easy plan to follow, higher limits, loans, protections, these are all secondary things.
There are some niche situations where the Roth “can” make more sense, but you have to make some pretty wild assumptions about the future and forgo “known” tax advantages today.
There is a value to “preference”, but sheer math sense, assuming you have a decent salary, pretax wins the math award most times. I live Roth by the way, but it is a preference thing for me on lower earning years.
Match is a no brainer, maxing out the rest is a brainer. And not lowering your taxable income is just overpaying taxes by choice. Best of luck.

https://preview.redd.it/au6224vp7s5g1.jpeg?width=1284&format=pjpg&auto=webp&s=3e13bd64471379ecb220a2c00593c5c8df158769
This What Chat GPT Has To Say About It

Ob OP überhaupt gelesen hat was er/sie/es da übergibt? 🙈 aber genauso einen Rotz hat letztens auch ein CEO einen Finanzdienstleisters zum Thema ETF geschickt für einen redaktionellen Beitrag. Hat sich selbst als Experte präsentiert und schickt einen bunten Screenshot von GPT ... das ist der Anfang vom Ende

Chat gpt, grok, etc do the exact same as you would: search the web and collate answers.
There may be differing quality of collation and presentation but how is your manual effort superior to the GPT/LLM?

Chat GPT ahh post..

\> It’s not very difficult to tell what code has been written by a GPT model, and at BEST it’s of middling quality.
But chat gpt is not designed to code better than you lol. I'm talking about AI that is specifically designed to perform well at a given task.
Chat gpt would probably beat you at chess with the right prompt, but no, it's not THAT good at chess and it won't beat a grandmaster either. It doesn't have to be. It's impressive enough that it got this good at chess from just having access to pgn files.
\> Please do not insult my intelligence by suggesting I don’t know how to structure a prompt either.
It's not like prompting is a trivial issue. It wouldn't be an insult to your intelligence to assume that you probably didn't use the perfect prompt. There are researchers that at this point devote their lives to understanding the various determinants in your prompting that will affect your results. For example I recently saw a study with quite surprising and counterintuitive results on the performance of some llms depending on the language you use to give them a task. [https://arxiv.org/abs/2503.01996](https://arxiv.org/abs/2503.01996)
\> It’s trained on the data that is available online. And thus its quality will always be a statistical average of the mountains of shit that is publicly available.
It's not a problem that is technically completely insurmountable tho is it? And it will be even less so with advances for AI in generalizing knowledge from limited data.
\> So yes I am fully claiming to be able to write code better than whatever model you wish to throw at me also.
Yeah you think you would have beat AI in that coding competition too? Or you're saying you code better than chat gpt or just in some specific setting? In which case it's already a statement that requires more nuance than "i code better than AI".

Weird! No where in my responses do I give any optimistic view points on Trump, that would be hard to do but I do slam CNN and their Boloney "reporting" but somehow you have taken the back roads to go on a trump rant, good for you! You probably don't color in the lines well yet. Oh, I am super impressed with your use of "elucidate", it's good to see Chat GPT being used by the masses...

turn off GPT & talk to your children, Elon

GPT suggested this too, and I would not have known otherwise -- thank you!

Throwing some Chat GPT conspiracy/data in the mix.. numbers make since, and are actually pretty realistic too our current patterns.
Starting facts (real data)
• BB price now ≈ $4.36. 
• Current short interest ≈ 27.58M shares, avg daily volume ≈ 7.24M, DTC ≈ 3.1. 
• MY assumption: 40% shorts expire → 11.03M shares must cover by Dec 31.
• Spreading that across ~18 trading days implies ~0.61M shares/day of extra buying (~8–9% volume).
Single most likely price path (point estimate)
To produce one clean line (not ranges), I’m assuming:
• Covering drift: ~+0.5% per trading day into year-end (steady tailwind).
• ER reaction: mildly bullish but not a blowout → ~+6% gap/pop on/after Dec 18.
(Basically: in-line numbers, but positive QNX/guidance tone that breaks some shorts.)
Projected path
• Now (Dec 6): $4.36
• Into ER (Dec 17 close):
4.36 \times 1.005^{8} \approx $4.54
• Right after ER (Dec 19):
4.54 \times 1.06 \approx $4.81
• Year-end (Dec 31 close):
4.81 \times 1.005^{10} \approx $5.06
• Early Jan 2026 (after forced covering ends):
Most likely small digestion / giveback ~3% as mechanical buying fades → ~$4.90 base
So the clean “most likely” line is:
$4.36 → $4.54 pre-ER → $4.81 post-ER → $5.06 year-end → ~$4.90 early-Jan base.
Why this is the “most likely” line
• 11M shares of forced buying isn’t enough to create a true squeeze by itself, but it is enough to keep a steady bid under BB for the rest of December.
• BB’s liquidity is decent, so the impact shows up as a grind higher rather than a vertical move unless the call is a huge positive surprise.
• After Dec 31, once the forced flow stops, markets typically digest and re-price based on fundamentals.
(Hoping for a re-price and better fundamentals)
Quick summary of ranges:
Here’s the trimmed range recap around that line:
• Neutral ER: year-end $4.50–$4.80
• Bull ER: year-end $5.00–$5.60
• Bear ER: year-end $4.10–$4.35
If any of this is actually true, we are staying above $4 in a worst case scenario!.
Zen!.

ich würde eher in deinem Interessensgebiet (Subreddit) nachfragen falls es da was gibt.
Jedenfalls geh dem nach was deiner Leidenschaft entspricht. Wenn das der MINT Bereich ist, dann suche danach. Frag durchaus GPT und generiere Ideen. Falls du aber sozial bist, dann wäre auch dieser Bereich als Quereinsteiger denkbar. Überfordere dich aber nicht. Anscheinend warst du ja bereits mental angeschlagen. Meist ist man dann langfristig nicht mehr so belastbar, wie jemand, der absolut gesund durchs Leben marschiert und nie mit der Psyche sonderlich zu kämpfen hatte.
Vielleicht kannst du dich auch tiefgehend mit KI Agenten befassen? Modelle trainieren? Prompt Engineering/KI Operator? Auch schauen ob du da tiefer einsteigen willst? Es wird dahingend wohl auch ein Berufszweig entstehen ...

I’m gonna go against the grain on this one because I despise most senior citizens but I think the age of the boomer is over. This is not your grandpas market anymore, we live in an era where one tweet can tank the market. I’d bet my last remaining $2 that buffet doesn’t know what GPT stands for

what in the fuck is up with GPT saying “tendies”? Fuck.

Which app are you doing market research for? Chat GPT survey

You are proving my point, which is, that you made no point. Have a nice weekend bro. Keep practicing your GPT prompting. Eventually, you'll figure it out.

As a final note, rereading your section which says that I’m not claiming to write better code because I know I can’t. I would like to clarify that I didn’t claim that because It’s so self evidently true that I’m better at writing code that I didn’t think it worth mentioning. It’s not very difficult to tell what code has been written by a GPT model, and at BEST it’s of middling quality. This will remain fundamentally and trivially true for as long as the output of these models is tied to the training data it receives, I can confidently say it wouldn’t pass the standards for any self respecting engineer.
It’s trained on the data that is available online. And thus its quality will always be a statistical average of the mountains of shit that is publicly available. Garbage in, garbage out. If they somehow have access to some private enterprise software, that’s even worse ahah. A great deal of code is simply very old and very bad. After all, the field is relatively new all things considered, and we now know a lot more than when we did when we started.
So yes I am fully claiming to be able to write code better than whatever model you wish to throw at me also. Especially in the languages that aren’t as well documented online (which is several). To give an example, I sometimes will program in Nix. It’s a relatively niche functional programming language which is mostly used for declarative operating system and package management. Let me tell you, the utter SHITE it produces trying to write the most BASIC of Nix will make your skin crawl. It shits itself even trying, and will make up garbage the entire way through. Please do not insult my intelligence by suggesting I don’t know how to structure a prompt either.
That’s just one example where I can see the delta between performance when training data is limited and documentation is sparse. A decent developer can figure it out, the most advanced models can’t and I will die on that hill until we see something completely revolutionary

Just saw a chat GPT commercial with two kids flirting, then a message popped up on the screen saying: How do I plan a trip with my sister... Sam Altman your incest is showing 👀