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GPT
EA Series Trust Intelligent Alpha Atlas ETF
stock NASDAQ ETF

At Close
Jul 17, 2026 10:13:16 AM EDT
33.12USD-0.927%(-0.31)1,569
33.05Bid   33.21Ask   0.16Spread
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GPT Reddit Mentions
Subreddits
Limit Labels     

We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
Take me to the API
GPT Specific Mentions
As of Jul 21, 2026 12:16:36 AM EDT (1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
2 hr ago • u/DyehuthyTV • r/quant • are_llms_reshaping_and_consolidating_the_industry • C
As a Quant, you will focus more on:
* Python
* PyTorch
* Transformers
* MLflow
* Prefect
* Databases (e.g., DuckDB)
* Machine Learning (e.g scikit-learn)
* Reinforcement Learning (e.g RLlib)
* HMMlearn
* and many other tools!
That AI Engineers and Quants use to develop and deploy models (*for different purpose, of course*)
The goal is to develop local AI models (*if you introduce technologies like Qwen, Ollama, LangChain/LangGraph, etc.*) or specialized Agents for financial analysis, risk management, portfolio management, macro analysis, factor investing, alpha research, and other quantitative workflows.
In a quantitative firm, a quant's role is usually focused on building and developing proprietary models and systems, not simply customizing commercial models (like Claude or GPT) and applying them to "financial tasks" :P
**As a quant, you are a builder of AI systems (LLMs, Agents) not just a consumer of AI models** lol
This is the big difference!
sentiment 0.84
3 hr ago • u/JRskatr • r/amcstock • fed_chat_gpt_a_bunch_of_box_office_data_and_amc • BULLISH!!! • T
Fed Chat GPT a bunch of box office data and AMC earnings data to calculate what number we need to hit in Q3 to be profitable, and it’s $2.7B. As of yesterday we’re well on our way!
sentiment 0.68
3 hr ago • u/-SPM- • r/wallstreetbets • why_doesnt_meta_acquire_openai_anthropic • C
For now, but that’s probably going to change. Their models are absurdly expensive, with the release of Chinese open source models almost on par with their best model they won’t be able to keep charging their high API pricing, plus GPT 5.6 is also almost half the price of Fable as well
sentiment 0.86
7 hr ago • u/Melodic-Scheme8794 • r/wallstreetbets • trumps_new_50_tariffs_on_canada_risk_igniting_a • C
Wait let me ask GPT to say thank you!!
sentiment 0.47
7 hr ago • u/InquisitorCOC • r/stocks • goldman_has_the_uschina_ai_capex_gap_narrowing_to • C
Kimi K3 is more expensive to run than GPT 5.6
It's a good model, but its cost advantage is gone
All recent developments show that 2T+ models are a must, and there's not enough compute
sentiment 0.53
8 hr ago • u/_FIRECRACKER_JINX • r/wallstreetbets • what_are_your_moves_tomorrow_july_21_2026 • C
I used chat GPT and a prompt I designed to pick 10 stocks to trade for a simulator.
I tested it's performance in August 2025, and again in January 2026, and again back in May 2026. All three times, the stocks it picked, 9 out of 10 had gains.
I'm deploying real cash once I get my first paycheck.
It took me months of testing to get the final refined perfect prompt and consistent performance, but once I had it written, it continued to perform
sentiment 0.47
14 hr ago • u/Ok_Beginning_5025 • r/IndianStockMarket • got_my_first_salary_looking_for_a_beginners • C
As a 40-year-old working in a senior IT leadership role, if I could give one piece of advice to every 20-year-old, it would be this:
Start contributing to **NPS** as early as possible to take full advantage of long-term retirement planning and tax benefits.
Build an **emergency fund** that can cover at least **6 months of your living expenses**. This provides financial security during unexpected situations like job loss or medical emergencies.
**Let compound interest work in your favor.** Starting at 20 gives you one of the biggest advantages in wealth creation. Begin investing regularly in a few well-chosen **mutual funds and ETFs**, and stay invested for the long term.
Allocate a small portion of your portfolio to **gold** through **gold coins or Gold ETFs**. Avoid buying gold ornaments as an investment because of making charges and lower resale efficiency.
**Invest in yourself.** Learn new skills, improve your communication, build technical expertise, and continuously expand your knowledge. Your ability to earn is your greatest asset.
**Travel whenever you can.** Explore new places, meet different people, and experience diverse cultures. The perspectives and memories you gain are often far more valuable than material possessions.
**Avoid lifestyle inflation.** As your income grows, increase your investments before increasing your expenses. Live below your means.
Stay away from **bad debt**. Don’t finance phones, gadgets, vacations, or luxury purchases with EMIs. If you use a credit card, always pay the full outstanding balance every month.
**Prioritize your health.** Exercise regularly, eat nutritious food, get adequate sleep, and maintain a healthy lifestyle. Good health is an investment that pays lifelong dividends.
Used GPT for rephrasing
sentiment 0.99
14 hr ago • u/SangerGRBY • r/wallstreetbets • daily_discussion_thread_for_july_20_2026 • C
Kimi gaining popularity is bad for Claude/GPT but great for cloud providers?
sentiment 0.81
14 hr ago • u/NeatHoneydew4624 • r/Trading • algo_trading_via_llm • Discussion • B
So I been working on this trading algo for the past few months. Im a data engineer, so coding it wasnt the hard part, but I have basically zero real trading experience. I cant read chart etc. This is genuinely my first time doing anything like this.
The strategy is crafted by GPT 5.5, which is mean reversion, when a stock drops hard, im betting it bounces back soon after. I only buy if the bigger trend is still up, so I'm not catching stocks that are just falling apart, just short dips. To find the dip I use something called RSI(2) method. When its oversold enough, I buy the next morning. I sell when it hits a small profit target, hits a stop loss, or just hasnt moved after a few days (plus a backup stop in case it gaps down overnight). How much I buy depends on how risky the trade looks, so bad setups get less money.
Backtest results (8 years of data, around 11,000 trades):
\-Won about 71% of the trades.
\-The losing trades are bigger than the winning trades on average, but overall it still made a small profit.
\-Average holding time is around 4-5 days.
\-6 of the 8 years made money, while 2 years lost money.
\-There was one period where it lost a decent amount before recovering.
Paper trading (about 7 weeks so far):
\-Around 50 trades.
\-About an 80% win rate so far.
\-The results are actually a bit better than the backtest, but I know 50 trades probably isn't enough to mean much yet.
\-I also had one trade gap down overnight and lose more than I expected.
The thing I'm stuck on is my account size. My account is only in the low four figures. Once i include commissions and trading fees, they eat up a lot of the profits because each trade is pretty small. If I pretend I had a much bigger account, the fees barely matter and the strategy looks much better.
So now I'm wondering if the strategy is actually okay and my account is just too small, or if that's a sign the strategy isn't as good as I think it is.
Queston:
\-Does a 71% win rate sound good, or should I be worried that the losing trades are bigger than the winning ones? It feels like one really bad trade could wipe out a lot of small wins.
\-What are some mistakes beginners usually make when testing a strategy? I'm sure there are things I havent even thought about yet.
\-Is around 50 paper trades still way too early to know if a strategy actually works? How long did you paper trade before you started using real money?
sentiment 0.98
16 hr ago • u/Fromasalesman • r/Superstonk • copilot_surprises_me_with_absolutely_refusing_to • C
Hey friend, you need to ask Chat GPT or any LLM if it is vulnerable to media manipulation which influences the inputs it uses as a reference and if it can even differentiate Ai generated articles from a prompt a user creates and intelligently distinguish it from a credible post by an intelligent journalist. Every LLM worth its salt should admit to you this is waaaay outside of their current scope the sheer volume of bearish or bullish articles published and the exact cases built within them is the reference for what you are reading. You cannot rely on an LLM to give you a guiding light in the market when it comes to sentiment - it is only pulling from what already exists so it will be especially unlikely to catch a change before it is published or written about.
sentiment 0.90
18 hr ago • u/Life-Lengthiness-594 • r/Finanzen • abschaffung_der_dienstleistungsindustrie_durch_ki • C
My 2cents, der viel mit AI und den Profi-Modellen arbeitet und als Techniker auf diese Vorgänge guckt.
1. Du brauchst immer jemand der den Output überprüft. Du kannst ner AI niemals zu 100% vertrauen. Wir in der Entwicklung merken Grad langsam aber immer mehr das bleibt ein riesiges Bottleneck, zB kann ein Entwickler am Tag nicht 3000 Code Reviews an einem Tag leisten. Auch wenn das der Output einer KI schaffen wird.
Und die Fehlerquote liegt an einem Problem der Modelle das immanent ist. Wer behauptet wir wären hier bei einem Anfangsproblem dass sich schon lösen wird, der soll bitte die Grundlagen dieser Modelle sich angucken. (Für interessierte nicht techies oder Kids gibt's da ein sehr gutes kurzes Video von der Sendung mit der Maus übrigens, das das Problem sehr anschaulich beschreibt).
Klar verkaufen die CEOs die damit ihre Blaseninvestitionen retten wollen das ganze anders.
Die Techniker der jeweiligen Firmen sehen das nämlich schon ganz anders, bzw nüchterner.
2. In Deutschland (wahrscheinlich EU) ist es geradezu unvorstellbar für solche Technologien, die einfach Fehler machen und nicht deterministisch wie ne Maschine sind,keine menschliche Verantwortung dahinter zu setzen. Wer ist verantwortlich wenn in D/EU ein falsches Formular rausgeht und hinterher sucht man Schadensersatz? Und in D werden solche Fragen als allererstes gestellt.
Ich will den KI-TüV sehen 🙃 (wahrscheinlich so kommen wird und ne Clownshow wird).
3. Kundenakzeptanz: ich such mittlerweile als Kunde die Firmen wo ich einen menschlichen Kontakt habe aus. Wer kennt nicht diese ewige AI Kundensupport scheiße. Wobei das eher Kunden-behinderung heißen sollte und nicht mehr Support (oft bestimmt gewollt dieser Zustand um Kosten zu sparen...trotzdem fängt es JETZT schon an die Leute massiv zu nerven sich mit Chatbots auseinandersetzen zu müssen).
4. Wir haben das erste große GPT für die Masse vor über 5 Jahren bekommen. Wo ist jetzt diese rasante Entwicklung wo man gar nicht mehr hinterkommt?
Ich hoffe da wird noch aufgeräumt und die Leute wieder eingestellt die von aktuellen FOMO-entlassungswellen betroffen sind.
5. Meine damit auch: da ist so ein Brain-Drain grad von den Firmen die die Leute rausschmeißen...was zum Kollaps einiger Bereiche führen wird wenn..
6. ..Die wahren Kosten von KI auf uns zu kommen. Das wird nochmal richtig richtig teuer. Alles auf Pump bisher (soviel wie noch nie bei ner Blase glaub ich?). Aber der Landgrab (hallo Netflix, Spotify) hat dann schon stattgefunden und die alle sich abghängig gemacht. Herzlichen Glückwunsch du kannst deine Firma jetzt zusperren oder solange dein Geschäftsmodell die Preise der Konzerne aushält.
Das ist stand heute alles ein riesiges Gezocke in meinen Augen.
Herbert hat zum Glück dann nen neuen Job und denkt zurecht gar nicht zurückzukommen für ne Firma die ihn wegen eines Chatbots rausgeschmissen hat.
7. Das soll nicht heißen dass es nicht nerviger wird im Büro zu arbeiten, wenn man nen Chatbot Babysitten darf. Weil kleben bleiben wird das leider schon denk ich. Die menschliche Faulheit das Hirn zu benutzen ist ein nicht zu unterschätzender Faktor. Und damit meine ich natürlich auch mich selbst, will niemanden beleidigen. 😄
8. Das soll nicht heißen das Handwerker nicht sinnvoller wäre für viele! Bist evtl irgendwann dein eigener Chef, und mein Text will eigentlich nichts sagen außer: bleib wenn du's aushältst. Geh wenn du eh Bock hast. Verdient man in Zukunft auch sehr gut. (Hab vorhin das Roboter Argument gegen Handwerker lesen und musste hart schnaufen. Es wird Handwerker mit roboterartigen Hilfen geben, ja. Geräte zur besseren Analyse mit AI-Assistant, das sicher. Aber ne one-size-fits-all Lösung/Roboter wie den Menschen wird es (auf kurze Sicht) nicht geben.
Klar der Roboter rennt dir nen Marathon, der andere tanzt crazy Breakdance...aber lass den mal durch n snüffelstück blasen wie Meister röhrich ob das "noch gud is do", das Auto einladen, ne Sache mit feingefühl hinbiegen.
Es sind gigantische Entwicklungs und Forschungsgelder darin reingeflossen was uns jetzt schon "Future is now" gerade beworben wird. Das will auch nochmal bezahlt werden und wird ne wirtschaftliche Obergrenze haben.
TL;Dr: den Human in the Loop wird es noch lange geben. Auch im Büro.
Aber das schützt einen nicht vor der Dummheit aller Chefs dieser Welt die da ihre große Chance sehen. Ohne Ahnung davon zu haben, aber den Versprechen von Altman, dem Nvidea Heini, dem Technofaschisten mit den Raketen und dem Typen der ne ganze Stadt zur Hochzeit kauft, zu glauben.
Gute Typen denen man alles glauben sollte!
sentiment -1.00
23 hr ago • u/Forward-Log1772 • r/investing • anthropic_and_openai_dont_have_any_secret_sauce • C
You can only name a few. What you don’t mention is the companies you mentioned use multiple models, some of them choose one Chinese model over another Chinese model, but none will exclude both GPT and Anthropic.
sentiment 0.25
2 hr ago • u/DyehuthyTV • r/quant • are_llms_reshaping_and_consolidating_the_industry • C
As a Quant, you will focus more on:
* Python
* PyTorch
* Transformers
* MLflow
* Prefect
* Databases (e.g., DuckDB)
* Machine Learning (e.g scikit-learn)
* Reinforcement Learning (e.g RLlib)
* HMMlearn
* and many other tools!
That AI Engineers and Quants use to develop and deploy models (*for different purpose, of course*)
The goal is to develop local AI models (*if you introduce technologies like Qwen, Ollama, LangChain/LangGraph, etc.*) or specialized Agents for financial analysis, risk management, portfolio management, macro analysis, factor investing, alpha research, and other quantitative workflows.
In a quantitative firm, a quant's role is usually focused on building and developing proprietary models and systems, not simply customizing commercial models (like Claude or GPT) and applying them to "financial tasks" :P
**As a quant, you are a builder of AI systems (LLMs, Agents) not just a consumer of AI models** lol
This is the big difference!
sentiment 0.84
3 hr ago • u/JRskatr • r/amcstock • fed_chat_gpt_a_bunch_of_box_office_data_and_amc • BULLISH!!! • T
Fed Chat GPT a bunch of box office data and AMC earnings data to calculate what number we need to hit in Q3 to be profitable, and it’s $2.7B. As of yesterday we’re well on our way!
sentiment 0.68
3 hr ago • u/-SPM- • r/wallstreetbets • why_doesnt_meta_acquire_openai_anthropic • C
For now, but that’s probably going to change. Their models are absurdly expensive, with the release of Chinese open source models almost on par with their best model they won’t be able to keep charging their high API pricing, plus GPT 5.6 is also almost half the price of Fable as well
sentiment 0.86
7 hr ago • u/Melodic-Scheme8794 • r/wallstreetbets • trumps_new_50_tariffs_on_canada_risk_igniting_a • C
Wait let me ask GPT to say thank you!!
sentiment 0.47
7 hr ago • u/InquisitorCOC • r/stocks • goldman_has_the_uschina_ai_capex_gap_narrowing_to • C
Kimi K3 is more expensive to run than GPT 5.6
It's a good model, but its cost advantage is gone
All recent developments show that 2T+ models are a must, and there's not enough compute
sentiment 0.53
8 hr ago • u/_FIRECRACKER_JINX • r/wallstreetbets • what_are_your_moves_tomorrow_july_21_2026 • C
I used chat GPT and a prompt I designed to pick 10 stocks to trade for a simulator.
I tested it's performance in August 2025, and again in January 2026, and again back in May 2026. All three times, the stocks it picked, 9 out of 10 had gains.
I'm deploying real cash once I get my first paycheck.
It took me months of testing to get the final refined perfect prompt and consistent performance, but once I had it written, it continued to perform
sentiment 0.47
14 hr ago • u/Ok_Beginning_5025 • r/IndianStockMarket • got_my_first_salary_looking_for_a_beginners • C
As a 40-year-old working in a senior IT leadership role, if I could give one piece of advice to every 20-year-old, it would be this:
Start contributing to **NPS** as early as possible to take full advantage of long-term retirement planning and tax benefits.
Build an **emergency fund** that can cover at least **6 months of your living expenses**. This provides financial security during unexpected situations like job loss or medical emergencies.
**Let compound interest work in your favor.** Starting at 20 gives you one of the biggest advantages in wealth creation. Begin investing regularly in a few well-chosen **mutual funds and ETFs**, and stay invested for the long term.
Allocate a small portion of your portfolio to **gold** through **gold coins or Gold ETFs**. Avoid buying gold ornaments as an investment because of making charges and lower resale efficiency.
**Invest in yourself.** Learn new skills, improve your communication, build technical expertise, and continuously expand your knowledge. Your ability to earn is your greatest asset.
**Travel whenever you can.** Explore new places, meet different people, and experience diverse cultures. The perspectives and memories you gain are often far more valuable than material possessions.
**Avoid lifestyle inflation.** As your income grows, increase your investments before increasing your expenses. Live below your means.
Stay away from **bad debt**. Don’t finance phones, gadgets, vacations, or luxury purchases with EMIs. If you use a credit card, always pay the full outstanding balance every month.
**Prioritize your health.** Exercise regularly, eat nutritious food, get adequate sleep, and maintain a healthy lifestyle. Good health is an investment that pays lifelong dividends.
Used GPT for rephrasing
sentiment 0.99
14 hr ago • u/SangerGRBY • r/wallstreetbets • daily_discussion_thread_for_july_20_2026 • C
Kimi gaining popularity is bad for Claude/GPT but great for cloud providers?
sentiment 0.81


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