API

stonkade

Bro would’ve been far better off with that 4.1% API 😭

dcsan

tx for the reply! \> earnings sentiment based on the 3 weeks prior are you taking social media sentiment, or analysts? for retail/social is that just general forum chats? I know stocktwits has an API and benzinga and others provide analyst guidance, but it doesn't update that much.

GarbageTimePro

Python and Alpaca's API

Tachiiderp

New revenue model? More than 90% of revenue is from ads, and during earnings call management said ads are the focus. Not sure where you get the idea a 'large portion' is from selling the API.

SheriffBartholomew

> What AI bubble? And why would RDDT be in that basket? Because a large portion of Reddit's new revenue model is selling API access to AI companies for LLM training.

skilliard7

> OpenAI does not have an exclusivity contract that requires them to use Azure for API through 2030. The original agreement was modified to allow them to use other clouds because Microsoft didn't want to commit to the datacenter build out OpenAI was requesting. They had right of first refusal and refused. Hence why they are using Oracle and Google now. They used to require OpenAI to use Microsoft for everything. The deal was changed to only apply to API usage

Echo-Possible

1. Nowhere do you explain where you get 100B+ by 2029 from. 2. OpenAI does not have an exclusivity contract that requires them to use Azure for API through 2030. The original agreement was modified to allow them to use other clouds because Microsoft didn't want to commit to the datacenter build out OpenAI was requesting. They had right of first refusal and refused. Hence why they are using Oracle and Google now. [https://www.techzine.eu/news/infrastructure/128011/microsoft-allows-openai-to-use-other-cloud-providers/#:\~:text=Microsoft%20has%20changed%20its%20agreement,other%20cloud%20providers%20as%20well](https://www.techzine.eu/news/infrastructure/128011/microsoft-allows-openai-to-use-other-cloud-providers/#:~:text=Microsoft%20has%20changed%20its%20agreement,other%20cloud%20providers%20as%20well) 3. If OpenAI is raising capital to subsidize compute then by definition they are not making a profit and don't have to pay Microsoft anything. 4. The length of the deal with Broadcom is not disclosed. You cannot claim they have a 10B commitment in 2026. This analysis is chalk full of holes. I could go on.

AtheIstan

Well, isnt soon every single company and office worker in the world going to use Co-pilot in all their Microsoft apps using the OpenAI API? Very easy to imagine OpenAI getting revenue growth here and having a huge advantage over other AI companies.

easye_was_murdered

OpenAI sells a lot of API tokens to businesses.

mixxoh

If you think it’s a simple API call change…

Echo-Possible

Yes it is. It’s an API call away. The external vendor is already integrated on their hardware and their cloud.

USMCinUSA

>run scheduled tasks within ChatGPT Was referring to this post/reply that requires a paid account to get the API keys. Thanks for the link to the script to ask ChatGPT !

bschug

Depends on what you build / run on it. If you want to run a state-of-the-art serverless stack with fully managed API gateway, cdn, storage, database, etc, then AWS is probably the best place to do it. But for government systems or legacy corporate systems that are really just docker containers running code that was largely written 30 years ago, it doesn't make much of a difference. Even the small European providers can do that.

GuaSukaStarfruit

Not gonna work on a new API unless they pay me in 300k USD per year. You see the problem?

zoomin1098

No API Fidelity sucks ass.

Ernest_EA

Some companies I’ve worked with are dumb af. Uses a RPA when you can literally use API call to simplify it

McCorkleDaddy

LocBox is a web-based stock loan inventory management platform with a corresponding API. LocBox empowers entities to monetize their Hard-To-Borrow inventory by making it available to short sellers in need of Legal Compliant Locates and Preborrows. By providing traders with reliable and verifiable locates, LocBox ensures short sale executions with full compliance, reducing settlement risks and eliminating the possibility of naked short selling. The PreBorrow is the simple solution for the age old problem of Naked Short Selling. This creates a transparent and efficient market, giving traders confidence that their short positions are backed by legitimate inventory.

Troll_berry_pie

Easy API integration on web shops? No idea really. I'm just saying that because every shop seems to have it as their main or only BNPL option.

ExcuseImmediate3047

Interesting. I didn't documentation for their API. Can you drop a link?

Worf_Of_Wall_St

It's brilliant really, *if* it ever works well enough. Rather than operate an expensive cloud service at a loss because users won't even pay what it costs to run, they're using hardware they sold to users and user-provide electricity - all while having all local user context available and preserving privacy. In the meantime users can still access the cash-burning services from their iPhones. Where it gets tricky is if it turns out that a significant percentage of users *want* to be able to give OpenAI etc full access to their personal data and an ability to automatically take action on their phone then Apple will lose those customers if it doesn't build a "give this company all my stuff" API. I have a hard time believing that they would build that, at least not without a bunch of leadership changes and a shift away from their privacy focus.

______deleted__

Adobe and Figma just repackage AI developed by actual AI development companies like GOOGL. They’re just putting a GUI over an API. There’s little moat in that if the real players wanted to come along and disrupt them.

RandomC6

Use python's API solution with the yfinance package

Singularity-42

Claude code is quite popular and only really makes sense at the $100 and $200 subs for anything even remotely serous. First time for me paying more than $20 for a subscription but the $200 plan is actually a great value. Also Anthropic gets a ton of API usage through Cursor etc.  If I had to choose between OpenAI and Anthropic at current valuations I'd pick Anthropic any day. That said neither probably isn't a great investment... 

SleepySquid-

If you can or are willing to learn to script a simple program, Python has several very easy to use packages for the yahoo finances API, such as `yfinance`, which let's you download the history for any number of tickets you'd like in any time range.  And it is one line of code to them dump that data to `.csv` for you.  It is also more consistent than having to go on the web page of every stock you want to download every day. 

RdyPdy

I run OA through 3 brokerages: schwab, tradestation, and tradier. All funds are deposited into the brokerage directly. OA uses API connections to open, monitor, and manage trades. You dont send them any funds

MagnificentLee

Did you see that Unusual Whales has an API for their stats: [https://unusualwhales.com/public-api](https://unusualwhales.com/public-api) Having said that, many options brokers have APIs: e.g., Interactive Brokers, Lime Brokerage, TastyTrade, LightSpeed, TradeStation, Tradier, WeBull, eTrade, etc. You can search for a list of options brokers and then "\[Option Broker\] API" to figure out if a broker has an API. However, you may encounter two significant limitations: 1. ***Limits on how much data you can request/stream.*** 2. ***A minimum account balance requirement***. Interactive Brokers is a rare exception, as I don't believe they have a requirement, but LightSpeed and TradeStation are approximately $10k. Lastly, there are non-brokerage options APIs such as [polygon.io](http://polygon.io) and [https://orats.com/data-api](https://orats.com/data-api) you could consider, which likely allow more requests/streams than the brokers. Good luck!

hgreenblatt

Why would you need this, and why do you need an API, Do you have a small 100 million dollar firm doing Arbitrage ?

AskGrok

Sorry, I've reached my API usage limit for today. Please try again later or contact my administrator if this persists.

AskGrok

Sorry, I've reached my API usage limit for today. Please try again later or contact my administrator if this persists.

skilliard7

>Gemini family of models has the most API calls and is being used the most by software developers for integration into mobile, web and business applications. Hence why it is ranked number 1 in market share in API calls. This is the data from a single SAAS platform that resells API access. This is not indicative of the overall market. Most developers just buy API access through OpenAI directly, not through third parties. >Simply put, no one agrees with you and actual software developers rather hitch their trailer to Gemini than alternatives. I'm a software developer myself, I've tried Gemini, it is not any good. Pretty much the only good thing about Gemini is that they have a free tier for API usage, which is nice for prototyping without needing to invest money upfront for testing/development.

Echo-Possible

That only applies to ELO scores on lmarena. That does not apply to other benchmarks and Gemini is still near the top in many important benchmarks despite being a generation behind and due for a big update which will likely leapfrog the pack again (Gemini 3.0). Gemini 2.5 Pro is still #3 in GPQA reasoning benchmark, #3 in MMLU-Pro reasoning benchmark, #3 in Humanity's Last Exam, and #2 in Aider Polyglot coding. [https://artificialanalysis.ai/evaluations/gpqa-diamond](https://artificialanalysis.ai/evaluations/gpqa-diamond) [https://artificialanalysis.ai/evaluations/mmlu-pro](https://artificialanalysis.ai/evaluations/mmlu-pro) [https://artificialanalysis.ai/evaluations/humanitys-last-exam](https://artificialanalysis.ai/evaluations/humanitys-last-exam) Gemini family of models has the most API calls and is being used the most by software developers for integration into mobile, web and business applications. Hence why it is ranked number 1 in market share in API calls. [https://openrouter.ai/rankings](https://openrouter.ai/rankings) Simply put, no one agrees with you and actual software developers rather hitch their trailer to Gemini than alternatives.

VolatIQ

I was browsing posts and this one caught my eye. I am not sure if this is exactly what you guys are looking for but we've been working on a new app/website for tracking stocks [r/VolatIQ](https://www.reddit.com/r/VolatIQ/). It is a community based (free) website to track stocks in a user-friendly format. The site has not launched yet but we have been trying to gain community insights on things that people would want implemented on the site. The site will feature an API that brings live stock information, media news, & political news (of relevance to a stock). We recently added a "My Portfolio" option that allows you to track your current portfolio (or even a mock portfolio). The "My Portfolio" option will have an option to link an online brokerage and perhaps (not available at the moment) offer the options you were interested in. Pretty new to this so if it is of interest to anyone, let us know what you would want featured on the site and become a member on our page. Thanks!

Shopinator

created an API + custom coding a prompt

Shopinator

I'm like a fucking...wizard at excel. It took me like 100 hours to make it. Lots of VBA coding, API's and custom macros. I made it to sell, but honestly when I got done it's just dope to use. Even made the little KEvin the snail guy say stuff based on what ticker you search with built in AI.

xRamos

Interesting, is it simple to connect them? Where can I find out if my brokerage also has an API with Yahoo?

Wolvshammy

lol...yes. I literally mentioned that in the post. I took out a 10% downtime factor in my calculation for shift swaps and API swaps. =)

SilverMagnum

This is actually probably the best answer that’s actually realistically doable.  Hell I feel like it wouldn’t even be that hard and I’m a passable coder at best.  Just depends on how capable / open Reddit’s API is after the changes a couple years back (I’ve never looked into it myself).  Add in some processing of loss porn image posts to the raw scraping of posts themselves and you’re basically there. 

Paul_Robert_

At work, someone was going through the new API changes, and referred to a PUT request as a "put call". I felt like a sleeper agent 💀 I wonder how that Figma put caller is doing

greytoc

Your statement isn't wrong but it's not quite accurate on a few levels. In general, for a casual options trader that is primarily writing puts, Fidelity is going to be much more convenient. But that doesn't necessarily mean that Fidelity is the right broker for other traders that write contracts. > So even when your cash tied up in CSPs, you’re still getting that 4% This is a common misconception. Most brokers including Schwab support the use of cash equivalents as collateral in a cash account. The primary advantage at Fidelity is that they have a sweep feature so it can be more convenient for less active traders. But for an active options trader that may want to generate a higher cash yield, brokers like Schwab offer more flexibility to generate a higher yield than a Fidelity sweep. And in a pm account - Schwab has much better cash equivalent opportunities than Fidelity through the use of long box spreads, treasuries, short-duration munis, ultra-short duration bond funds, etc. >Schwab uses PFOF. Fidelity uses PFOF for options as well as Schwab. Look at each broker's required 606 disclosures. Fidelity is able to claim that they don't use PFOF for stocks because they receive exchange rebates as a liquidity provider. But Fidelity uses PFOF for options. >That means, your orders get filled at the best price for Schwab - not the best price for you. That is not true - Schwab is an agency broker. Schwab receive pfof. The benefit It is a lot more nuanced and it depends on how an option trader trades. In general, Fidelity offers much better broker support for price improvements than Schwab. So if a trader tends to be pedantic about how they are filled, the trader will have more control at Schwab. For example - Schwab supports the use of penny orders even for contracts that have a nickel quote - Fidelity doesn't support it. Additionally - Schwab has a retail API for more experienced and sophisticated traders.

Neither_Way_either

It’s infuriating tbh. I’ve become a solo dev using AI and my goal is to offer one time purchase option on subscription apps. There are some cases in which you need to charge monthly usage but there are also ways around it - e.g provide your own Gemini API key etc. If you have suggestions I’d be happy to have a look.

bikkhu42

Not reading all of that because your premise is faulty and probably generated by AI anyway. Nobody (who was ever anybody) said AI is a bubble. The adults in the room recognize its value, as someone who works in tech I do too. If you don’t code and have never played around with an LLM, and you think that AI is a catch phrase for a meme generator, you don’t understand 2% of the value of these systems. If AI advancements were to stop today, I’d still fucking say it’s a big leap not just in capability but scale and cost of labor. The problem is that there are too many speculators in the room, too many people who have inflated this to the tits. For every 1 legit company that is building a useful AI application or inference layer there are 9 snake oil sales people who are building wrappers around the open AI API. We are definitely in a bubble. I just dont know if it will burst, but if it does it’s always a chain and it will hurt everyone bad, even ordinary people who didn’t gamble on any of this

ccnomas

well actually if you need compiled + deduped data, I have opened up my SEC data API: [https://nomas.fyi/research/apiDocs](https://nomas.fyi/research/apiDocs) Also I have visualized the data just in case. Any feedback is welcome.

thesuperspy

The sheets support sticks from over 30 countries. OR at least they did until Yahoo Finance changed their API. The sheets are currently broken since Yahoo Finance locked their API.

pagalvin

I don't wheel for the stupid reason that I'm not approved for it. eTrade has not approved me and I'm doing fine as is, so I haven't dug into why they won't let me get to level 2. I'm quite accustomed to this approach by now and it's working, so I'm not in a rush to wheel. As for "how much" - I pull down the option chain via an API and a custom app I wrote tells me what strike price I need in order to net 1% and I go with that. (I do a bunch of research too, using the same app which is also integrated with Gemini AI). I have been forced to sell a couple stocks at a slight loss and I'm still grinding away at getting positive with one of them (RXRX). But even for that one, I'm earning my 1% a week at the current strike price. I sort of think of the stocks as investment properties and the premium as rent. If I can get paid my rent every week, I don't care as much about the state of the building. It's not a perfect analogy. I think there's a YouTuber out there that calls this "getting the juice". I don't follow him but I'm aware of him.

skilliard7

You are not understanding the article then. ChatGPT garthers the majority of its sources from Bing, only falling back on SerpAPI in rare instances when Bing cannot find the source. SerpAPI allegedly uses scraped Google results- which is where this article is coming from; Google doesn't like that it is scraping Google results, rather than paying for API access.

Aggravating-Fig2692

Its a growth story. They never tried to grow before Ipo. After covid they decided its time to expand for real to save human lifes. Watch them get a huge % of the Trump EO for emergency API and more state contracts for emergency preparedness. Wayne is truly an american hero and usa nr.1 expert in complex logistics. You gotta see the forest not the leaves here.

Special_Builder_4171

Thanks for checking... I agree that this trade and the video are introductory to the concept of options trading but it's useful for me (as a new trader) to learn how calendar spreads behave and how to manage them. It's been instructive to see how these fail (e.g. SPY opens more than 0.5% from the center of this trade and goes further) and to learn the hard way that's there's no saving these if they go bad unlike put credit spreads and iron condors. I'm also looking to see if a simple calendar spread can be automated effectively. I looked at the Flyagonal, some double calendar spreads and other more complex trades and concluded I don't have the account to support these trades yet (a $250 debit is pushing my risk limits at this time on a $5K account). I could automate this on E-Trade, but it's a significant piece of work against their API, so I was wondering if someone has done some like this on another platform. If not, I'll check with Chat GPT and see for which platforms it can provide samples (IB? TradingView?) and then see what their account requirements are.

Outrageous-Gur6848

Thank you! I actually really like Moomoo. I've had an account with Robinhood (3 years), Webull (8 years), Public (1 year) and now Moomoo (2 years). It's very reliable. I wasn't a fan of the other ones except for Webull's ability to integrate with TradingView, back test, and utilize Pinescript. But Moomoo can do that too. The desktop version has a whole section dedicated to algorithmic trading, along with an API. I do have to use Moomoo in conjunction with spreadsheets though in order to calculate the profit of each cycle.

fungoodtrade

i keep RH for keeping an eye on new small caps, and i keep 1 share of all the companies I hold. I also have vanguard and ibkr. I think long term everything will be in ibkr. vanguard is shit for options trading. ibkr is good, and I think after 10 contracts/ mo they don't charge you for your options data. I think I have a higher options trading level at vanguard though, and ibkr considers a cc level 2 I think? and a csp level 3? , so there was a reason i didn't move everything over there yet... but it is much more efficient to trade on. They also have a good API at ibkr, so doing some form of automation down the line is something I'd like to do.

d33p7r0ubl3

What is it? High yield API?

Wide_While86

With everything said, I think they're still a pretty good social network app and could easily be turned into a major digital distribution asset. However, they're erroneously self limited on traffic sources (no Google indexation or Chatgpt/LLM citations traffic). They also need to open up the API and sharpen up their ads product. We wanna see more founder mode aggression from Spiegel or it's time to gtfo.

babyburger357

The current AI megacorps have a huge valuation based off of future returns that would rival or even dwarf the arrival of the internet, that is what some of the top have been predicting. There are many startup companies getting crazy funding and evaluation despite just providing a couple hundred lines of middleware code between some AI API and a UI. I am looking at the Devoxx convention in Belgium this year and about 1/8th of the talks revolve around building your own custom AI agent. We are already flooded with them and they are not very well received. Maybe I am not creative enough to envision what greater purpose we can achieve in the coming years, but I tend to be cautious and feel that we are already hitting diminishing returns while the market still factors in extreme growth year on year. When the smaller companies stop getting handed large bags of money for free, the megacorps will feel it in their B2B business as well.

RazDoStuff

I am a software developer, I work for a very small company. My team is comprised of 15 engineers working on a community-engagement application. Cursor works fine within our codebase because we maintain a fairly simple and maintainable codebase. However, when I worked at a F500 company, AI struggled immensely. It could not grasp the entirety of the codebase and required multiple subsequent calls to the API to have it grasp any bit of our repo. Basically, the context was too large for it. Larger more expensive models had more token capacity, but 200k tokens would only be so much for it to maybe understand a subsystem/service. TLDR: It’s good for small projects or companies. Not for large enterprise solutions.

SteadfastEquity

It's almost certainly a chatgpt API.

kx____

P/S on this shitstock is still above 110. Most don’t realize what this means and how inane that kind of valuation is! And no Palantir is not an AI company, it merely makes API calls to AI services for data analytics purposes. The only thing it’s got going is government contracts thanks to under the table bribery of government officials, and the insane PR marketing tactics by alex karp and his marketing gang.

fbiscalledwhatnow

Is there an API that gives info about a company's competitors? Or how the company's KPI measures up to the industry?

Evol_Etah

There's a button at the bottom. Looks like a checklist icon. It fact checks its own response. The info is decent. Imho, none of the other AIs can give satisfactory answers either. Gemini is better by comparison, not Gemini is perfection. Also, while typing my original comment. My mind had it's other AI suites like aiplayground, it's voiceAI, notebook LM, it's (I forgot, new API creating AI, and the other "workflow ai") I forgot the names, it wasn't available in my country and its all super new. But they have tons of AI models & AI-domaim specific stuff releasing. They just suck at marketing any of it. (This is unrelated to Googl stock, I'm only speaking in regards to personal use of all AI I can find that's coming out. Like elevenlabs & everything else. - mind thinking outside stocks. Purely cause my day-job is working on building AI professionally)

Over_Historian_8548

OpenAI API with Pydantic AI is what I see OP is using to answer. Ollama models won’t be able to answer this.

skilliard7

>If that were true, it wouldn't score so high on LMarena. Have you read "The leaderboard illusion" paper? Google gamed the system to inflate their scores. Real world performance is much worse. >It also has 1M context window which admittedly isn't so reliable after about 600k tokens or so, but still much better than OpenAI models which are a pathetic 32k on the app/website and ~200k max in the API. Blew everything else out of the water with context window when it came out. It is concerning to me that despite a large context window, Gemini 2.5 Pro performs worse than GPT-5 and even O3/O4-mini.

iwantxmax

If that were true, it wouldn't score so high on [LMarena](https://lmarena.ai/leaderboard). Additionally it was [SOTA in benchmarks ](https://www.datacamp.com/blog/gemini-2-5-pro)when it came out and still holds up strong. It also has 1M context window which admittedly isn't so reliable after about 600k tokens or so, but still much better than OpenAI models which are 32k on the app/website and ~200k max in the API. Blew everything out of the water with context window when it came out. I dont know what you did, but it's objectively not a bad model and is certainly not behind in any major way.

ImHungryAsFuck

Going with XP Puts, FN Puts, and API Calls. Really wanted to play PANW, but got not clue how it’ll turn out, seems could go other way. Prolly have to straddle it.

MyndexResearch

Last minute adjustments API - added PUT, took profit on some calls ITRN - added PUT, took profit on some calls WDS - added PUT, took profit on some calls

ImHungryAsFuck

Looks like I’m going with FN Puts, API Calls, and XP Puts.

therealocn

The active users on both platforms are not really enjoying the (new) experience. Hence on Reddit there's many people still using old reddit, which inevitably will be phases out. People also didn't like the changes to the API, effectively stopping the use of 3rd party apps. People are dreading the influence of AI on the platform more and more. The platform has become increasingly polarized.

Different_Record3462

Oh, I didn't really care about the API changes. I just think talking about a stock of a company on said company platform is kind of funny. Part of a CEOs job is to get people to buy shares. So, spez would benefit from talking about his stock on his platform.

Mapleess

Yet here you are using Reddit after everyone and their mother cancelled Reddit for the API changes.

cliffngong

You might want to check out the Mboum API. They have both stocks and options endpoints

Filoleg94

Is there an irony in him saying this though? I dislike the guy heavily as well, but as far as I saw, he wasn't talking about competing companies creating LLMs (like Llama or Deepseek or Claude or etc.). He was talking to all those startups that build on top of those LLMs, where it is just a group of 3 dudes who waste money on tokens and just act as a wrapper around ChatGPT/Claude/Llama/etc. Example: "we are a startup of 3 genius dudes working on an AI-powered solution for insurance claims processing, and we recently graduated from the YC startup accelerator + got funded by a16z". Reality: "we are just 3 dudes who wrote a custom prompt, and simply route your calls using our custom prompt directly to ChatGPT/Claude/etc., all while burning our cash on the API costs". Yeah, Sam is right here, no matter how much I dislike him. Just look at the few most recent YC startup batches, and it is clear as day that most of them are just fancy ChatGPT wrappers with a custom prompt and frosting on top.

kx____

PR That’s what Palantir does good; PR. Palantir is simply data analytics along with some API calls to ML and LLM systems for what they call AI data analysis.

Heyhayheigh

It is the easiest one. You can accomplish with brokers that allow API trading. But M1 is just easier. Everyone I’ve ever seen use this is being overly fancy though. Just set a fractional auto buy of VOO or QQQM on a place like Fidelity that does fractional. Pivot when you feel like, but no selling, just acquire more on an automated basis. People who have fancy setups tend to not increase their automatic purchases. With a weekly auto buy of VOO of say $300/week, for example, you just have one place to increase to 350, 400, etc. That’s the value of having an advisor, at least a good one. When the money gets big, it is just one account to deposit into and they automatically handle the rest. And if they are good, they push you every time to increase those automatic deposits. That makes the fee worth it. People hate fees, but if no one is paid to push you, you will just have the same level of savings and investment. Maybe even less… Best of luck!!

noonetoldmeismelled

Nvidia has been pretty good at keeping CUDA dominant. Huang a long time ago has been hyping up ML and GPGPU programming. Pretty much since CUDA 2007. Before that Nvidia always talked up their software in terms of speed and quality of driver updates for specific software along with utilities for customizing some display settings and later video game centric utilities.  Nvidia's software moat began before 2007 because Nvidia was the hardware company that since the early 2000s has been talking up how software was the future. By the time AMD realized this, they were spinning the drain approaching bulldozer and Intel was being the Intel we've known for the last decade. In those days AMD and Intel had software teams but nothing compared to Nvidia. By the time they started to see the software advantage Nvidia had and how that was benefitting them, Intel and AMD weren't in the position to heavily expand software investment. At least hard to justify  AMD was in survival most pretty much the whole of 2010-2020. Now they a strong high margin data center business especially with the AI boon. Intel manufacturing problems for the past decade. Failure to break into mobile. Failure with the cellular radio business. Whatever happened with 3D X Point and Altera. Whatever other business that they've sold or spun out the past decade What I'm getting there is that all the ones that could reasonably have the domain knowledge to compete in building out a GPGPU API and get that supported in damn near all the relevant major open source projects and commercial software were in financial straits and/or had their attention all over the place. Anyone that wasn't a SPARC, MIPs, Power, Imagination Technologies enthusiast looked at the backing companies as ready to compete with the breadth of Intel, Nvidia, AMD. Qualcomm was growing but not there yet. At that time future super major could have been Qualcomm, could have been Texas Instruments So up to AI boom, there wasn't really a stablly well funded CUDA alternative. It was all side projects for these hardware companies. Then AI boom and every non-Nvidia hardware company is like, "crap, CUDA, scramble what resources we have to show off something and start trying to hire more software developers." It's a multi year process to find and hire developers to develop a good CUDA equivalent. A lot of time to push support in software projects that are all CUDA It's not that it's impossible. Just that the major investment didn't come in and in the case of AMD, wasn't really possible until the 2020's post ChatGPT public release. So it would be years until a cross platform solution can become ubiquitous. But this decade compared to the 2010s, hardware companies are spending way more money than before and the market is proven. It's no longer Nvidia constantly trying to hype up the future of ML and self driving cars. DLSS was major for gamers, CharGPT and stable diffusion were what changed the whole venture capital market Everyone else here being super dismissive, people seem triggered at the thought of CUDA facing competition which I remember this is the investing sub so people are team sports about this and are simultaneously past doesn't predict the future and the present will be the same in the future. CUDA is old but AI mania is young. There are no AI products that are so superior and mature to upstarts that using a non-CUDA API is a non-starter. Most of all this AI stuff is regularly something new from scratch. No technical debt. Very limited profitable products. Still searching for what is monetizable and how monetizable Also the dismissals of Linux vs Windows. In the late 90s and early 2000s Steve Ballmer was railing against Linux and trying to motivate investors and engineers to combat the Linux virus coming for Microsofts business. Linux took the server and is now growing substantially in desktop usage in Europe. It was already pretty prominent in India. The US government has support contracts with Red Hat and on network you'll have managed Windows, RHEL, and Ubuntu machines. ChromeOS and iPads made major inroads into education In terms of investing it doesn't matter as much in terms of investing because Microsoft diversified. Office, Azure, now copilot, GitHub, LinkedIn, they bought Activision and became a huge huge publisher of already live service games, etc. Windows market share on the server tanked a long time ago. Windows market share has been dropping since like 2005 primarily to OSX/MacOS but if you include mobile, it was a bloodbath the last 15 years. iOS and Android. If Microsoft didn't diversify and were a Windows company, they'd be a much smaller company than they are today because the Windows moat was penetrated multiple times in the last 25 years

Ok-Recommendation925

1. Scaling up their supply chain solutions with heavy investments geared towards manufacturing (Factories, Packaging, API Labs, etc) to meet their drug sale demands. They are moving towards building their 4th factory in North Carolina, 1,000 jobs estimated incoming. 2. Pipeline is still robust. With the latest FDA application submitted, and awaiting approval for Oral Semaglutide. ETA: Late 2025. 3. Well managed Balance Sheet. The increase in debt isn't reckless, but is incurred due to scaling up their internal supply chain. Their avg FCF has increased from approximately $5B in 2014, to $10B in 2024. 4. New CEO appointment. 5. The GLP-1 Market is just getting started. Expected to grow to $130B in 2030. 6. The stock market has mis-priced Novo, as though Obesity/Diabetes are dead. Also I'm not going to shit on LLY, because the truth is, the market needs both NVO and LLY to meet the growing obesity numbers. Not just within the USA, but also globally.

thicc_dads_club

A very popular choice for newbies is TradingView, which supports IBKR (and other brokers). You can write strategies and helpers in PineScript, a programming language specifically intended for trading and non-expert programmers. Getting your execution helper implemented in PineScript could be pretty cheap, and no IBKR-specific API knowledge needed.

fungoodtrade

ok sounds good thank you for the tips. I just started talking with a guy on fiverr that knows at least something about IBKRs API. Will see how it goes. I've been aware of algotrading for a while, but never really had a need to consider automating or somewhat automating until now. I've messed around with chat gpt and the IBKR api a bit with 0 programming knowledge, so I may at least be able to create a good framework of features I'm looking for with gpt. If I can come up with something basic and useful I'll post it over there.

thicc_dads_club

For sure, algotrading IMO can range from developing screeners and execution tools to fully automatic, 100% hands-off. IBKR has a very feature full API, even though it is a bit painful to work with. Something like you described would be relatively straightforward, at least the “given these stocks and this delta, open a cc” part. Continuous monitoring is a bit tricky because now you need regular automated connectivity, but most IBKR clients require web auth for every connection. (You could use a different market data source for monitoring though.) If you are interested in developing it yourself, post on r/algotrading. Describe what you’re trying to accomplish and folks can give you advice on programming languages, clients, and paradigms. If you’re looking to hire somebody to write it for you, I think you can post that there too (check the sub rules). Depending on what you want, feature wise, and level of support, you might find somebody to do it for you for $2k - $5k.

Scannerguy3000

Fascinating. I’ve gotten my “system” down to almost algorithmic in nature. But I’m still in the decision loop. I’ve been wondering if I can get it completely rule based in something like Python, then do everything automatically via API. Is that close to what you’re doing?

noworsethannormal

Perhaps... but we've been in a training boom and Reddit shifted their business and API licensing model awhile ago already to capitalize on it. I'm sure it will grow in dollars of revenue but don't see it making massive jumps as a percentage of revenue. Just saying I don't think it's a dark horse here for Reddit.

Norqj

I'm likely to be moving to Schwab if they match my margin portfolio and fees per option contracts to do boxx and leverage.. I've also built a trading bot with the Schwab API and the API Team is very very responsive over email. Fantastic customer support there. I might stick with Fidelity if I can get them to lower my margin even closer to boxx. PM there is very unlikely based on all the convos I had.

rehpyz_

Here’s how I see UiPath in this “AI kills SaaS seats” debate: UiPath isn’t a seat app. It’s the execution layer that actually does the work across whatever stack a company has—SAP/Oracle, M365/SharePoint, Salesforce/ServiceNow, plus the ugly stuff with no APIs (mainframes, Citrix, fat-client Windows apps, supplier portals). MuleSoft moves records; UiPath finishes tasks (read the PDF, update system A, reconcile in system B, file evidence in system C, with an audit trail). AI cuts headcount ≠ fewer UiPath “licenses.” In most deployments the unit is robots/automation hours/modules, not human seats. When firms “do more with less,” they usually run more automations, not fewer. (And UiPath’s stack—Process/Task Mining → IDP → robots/agents → orchestration/governance → testing—lets them find more work to automate.) Agentic AI needs a last-mile layer. LLM agents still hit real-world snags: no API, legacy UIs, exceptions, humans-in-the-loop, compliance. UiPath can orchestrate LLMs + humans + deterministic bots with roles, queues, secrets, audit, and change control. Suite vendors will automate deepest inside their own clouds; UiPath’s job is the cross-suite, legacy, governed bits. Where I’d change my mind: if Salesforce/ServiceNow/Microsoft ship truly neutral end-to-end agents that reliably operate across SAP/Oracle/SharePoint/desktop apps and we see customers retire large UiPath bot fleets. Short of that, UiPath’s niche looks durable. Watch items: multi-module attach (Mining + IDP + Robots), usage intensity (bot-hours/automations per customer), >$1M deals/platform wins, and case studies where UiPath orchestrates agents + humans across multiple systems. TL;DR – I’m bullish on PATH because it’s not “another SaaS seat”; it’s the neutral, last-mile work engine that AI actually rides on.

Reputation_Many

So I asked chatgtp 5 to do it. It wrote something for me. Basically ask it to make an autopilot clone. Now you need to be able to walk through the output and have basic u standing of JavaScript and or python. Depending on what language you choose to use. I used JavaScript for all of mine. Basically. It can pull data on trades from an api that’s $10 a month (it will work) or you can have it scrape pdf’s for data and it will most likely work. Politicians: Optional QuiverQuant API is where the api is. Then working with Robinhood or other brokerage api is another step. This is the one part you really need to understand what is going on since it could fubar and mess up your trades. And since it changes so infrequently I’d probably just have it send me a notification and I manually do the trades.

Interesting_Ear_1

Do you use an API with your brokerage and make the bets automatically? Or do you just follow what the models advise you to do? Sorry for the beginner question.

CallMePyro

It’s users paying for the product my guy. “Scaling to production” means making money. OpenAI is making billions(both from API usage -businesses, and from subscribers) and growing at a blistering rate

salty0waldo

For crypto Coinbase has a free API for basic product info like pair pricing including candles. For stocks I have always used the yfinance python library that is open source.

_2f

They’re just using their API. They did not partner any more than you partner with Amazon if you host your website through AWS. 

Left-Agency-9292

ai stocks like c3 are in a world of butthurt because their all like builder.ai a bunch of humans error correcting an API on lsd

jackyy83

Yes, Google+ is also a better product than Facebook, so what? I work with several large enterprise for AI deployment, it is either OpenAI or Anthropic s model, no one use Google or Elon’s model. There are switch costs with AI model because of the differences in API and training set and certain behavior, just because google occasionally score 0.1 better on some benchmark, don’t mean everyone will switch to their model.

Cashfable

I think their tool is great and I've used it a couple times as well. Great API's but as I said they didn't only quit, they found ways to reduce costs. Tableau is used for many things and seems to be the biggest reason from what I read online. Also the so called bad news of the data leak didn't help much. I am thinking to start a position, because it seems vwry undervalued, but might wait this week.

SnooOpinions1643

AI is great. You’re confusing ChatGPT with API.

IllustriousFuture639

That’s like me asking where you bought your shirt and saying you avoided Wal-Mart. Which API are you using the pull the market data?

Ti_Guardo_Per_Sempre

Hey! Thanks for asking, mainly through a partnership with a big player in this industry. However nowadays real time market data is getting more accessible: if you take a close look at Binance or competitors, they offer a free web socket API with real-time access to their feeds.

Reasonable_Roger

Does it still have a ton of shitty ads and just overall bad vibes? I've been paying $2/mo for relay since the API drama

Lazeetrader

**TradeUltra: Pure STP & A-Book Broker for Traders & IBs** * Fully regulated (Labuan FSA & FSC Mauritius) * Algo trading supported (MT5/EA/API) * 3,000+ instruments: forex, stocks, crypto & more * Tight spreads & leverage up to 1:500 * $6 per lot commission for IBs + customizable markups * $1M client fund insurance * Fast onboarding & 24/5 multilingual support We offer direct market access—no dealing desk, no conflict of interest.

I_Am_Robotic

My theory is that they are about as well positioned as anyone on AI sales and marketing agents. They’re already fully integrated with so many companies and have API hooks into so much data. It would seem logical to turn on their AI sales or support chatbot rather than start fresh with someone else. Servicenow could be similar play on the service side.

JuliusFIN

Show me an indexer that doesn’t use Google search and comes anywhere close to it’s performance and accuracy. All the current AI API’s will almost certainly just use Google search under the hood. It really is lightyears ahead of the competition.

WenMunSun

My 2c. NVDA is quite alot more risky than the market thinks. Fact is NVDA can make more chips than the hyperscalers can logistically bring online in any given year. The reason for this is mostly due to power limitations. There isn't enough existing electricity available to power the amount of chips NVDA/TSMC can produce in a given year. Tangentially, nat gas turbines are sold out through 2032. A new nuclear power plant takes multiple years to build. The quickest way to actually get power to bring online massive amounts of AI training chips is Solar/Wind + Battery Storage. Solar+Batteries can get a power plant up and running in 3-6 months. So NVDA is actually demand limited. Despite Zuckerberg's desire to spend $150B in CapEx on AI this year. It's simply not possible. The infrastructure doesn't exist. Enter AMD. For many years now AMD has actually been quite competitive vs NVDA in terms of price/performance. The main issue as i understand it preventing wider adoption of AMD chips in AI/Datacenters is the software ecosystem. Namely CUDA. CUDA is NVDA's proprietary API and AMD doesn't have anything competitive. CUDA is NVDA's moat. Or at least has been historically. However, now that AI chips are so desirable and expensive, it's possible we could see a bigger push by some of the AI companies/hyperscalers to make a serious push to develop an alternative API/software ecosystem to CUDA - one for AMD. If AMD can undercut NVDA's prices enough, it's possible one or more of the big tech companies will decide to spend several billion to develop a CUDA comptetitor on AMD chips. At the right price point it might be worth it if they can save multiple billion by buying AMD chips. I think this is a distinct risk to NVDA. If this happens then NVDA will be forced to respond by cutting the price of their own AI chips (because remember they aren't supply constrained - they're demand limited by power). So if AMD undercuts NVDA's prices and a suitable alternative to CUDA exists, then NVDA will need to cut prices or lose market share. And this would cause NVDA's margins to drop. In this scenario it's possible we see an AMD vs NVDA price war which could decimate AI GPU margins. Another threat to the NVDA hegemony is the hyperscalers developing their own in-house chips. I believe some of them are already doing this. Apple for example did this for the PCs/laptops. Google is developing their own chips. Tesla has been designing its own inference chips for almost a decade now. This trend is likely to continue if the demand for AI chips remains elevated and as long as NVDA's prices and margins remain high. Lastly, i think the OpenAI vs Musk battle could be an industry catalyst (to the downside). It's very possible the court rules OpenAI cannot convert the non-profit company into a for-profit company. If this happens Softbank will pull their funding for OpenAI. It's also not clear what happens to the value of the stock/shares of OpenAI in this scenario. If the courts rule against OpenAI, that might make it very difficult for Altman to secure any additional funding (which he desperately needs because they are hemorraging money). If that happens it could significantly reduce demand for AI chips which could cause NVDA to lower earnings estimates which could cascade throughout the industry.

Past-Entertainer335

just saw your reply, thank you. Can you access Market Chameleon data via API call in google sheet?

Shutterstormphoto

You can look up how they sell their API. It's more than that.

skilliard7

ChatGPT has a lot more potential to monetize their users: - Using AI and the content of discussions, they can achieve ad targeting that is incredibly effective, monetizing free users. - Their service provides a lot of value to users that are willing to pay as much as $200 a month for Pro. - On the enterprise side, their API will bring in a lot of money from business systems and automation.

Echo-Possible

I'd argue Deepmind is worth more. Google is the only vertically integrated frontier lab. They own their hardware (TPU), their own models (Gemini, Veo3, Genie3, AlphaFold), their own cloud services for hosting (GCP), and they own a bunch of endpoints for deploying these models that have billions of users each (Android, YouTube, Workspace, Search). Billions of users interact with Gemini on Search page every day already. Even more when you start to look at third party software applications. The Gemini family of models is preferred by software developers who are building mobile, web, and business applications around LLMs. Gemini leads in API integrations at 38%. [https://openrouter.ai/rankings](https://openrouter.ai/rankings)

EventHorizonbyGA

How much are you willing to spend? How we do this is we record every event. Every press release (because they disappear and not all are filed), every SEC filing, etc. And we process events from each. It costs about $1000/month on AWS to do this. If you have a prime brokerage account your broker's API should have access to a similar database.