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Discussion (177 Comments)Read Original on HackerNews
LLM's can actually be exceptionally good at research and pattern recognition, i.e. analysis. And while they aren't great at running numbers themselves, they can do exceptional work passing off Python scripts to an interpreter to generate the numerical results they need.
I'm quite sure the Robinhood AI is going to be trash, i.e. just a gimmick.
But, it's not crazy to think that with the right harness, there are big opportunities for identifying profitable strategies. Especially relying on unparalleled and essentially unlimited research capacity based on public information. More analysis than any single firm could ever hire.
And even for Robinhood users, it's entirely plausible that AI-traded stocks will perform much better than the trades a majority of users would make, since most investors are really unsophisticated.
No they aren't, they're good at imitating analysis based on representations of analysis in their training data. Also, Its likely that out dated techniques would over represented in training data.
Do you think Jane Street would have the returns they do if they just imitated all their competitors and everyone was using the same strategies?
Sure but knowing where to start research is also a problem. Just saying “do research” isn’t going to work even with volumes of public information.
I didn't like the relatively high fees for QQQ, and I realized that Invesco releases the weights for QQQ for free. I also think Tesla is too overvalued, and I want to avoid the SpaceX IPO. With the Interactive Brokers MCP, I just feed it the CSV of QQQ's weights, tell it to remove and redistribute Tesla, and then I tell it to buy "$1000 of pseudo-QQQ", in the form of raw stocks.
Doing this, I still basically get the same exposure as QQQ, without any fees.
EDIT: Some of the responses here were right; this is a actually a bad idea, at least with the naive way I was describing it. There's a lot more tax stuff that you avoid with ETFs compared to the makeshift thing I'm describing.
Every single time you rebalance your portfolio, you will need to pay short-term capital gains taxes on any gains, as opposed to an ETF in which you simply pay for the gains when you sell your stock which can be years/decades from now. This alone will reduce your average expected earnings by 20% over a 10 year period eviscerating whatever tiny advantage you think you'll get from saving a few bucks in fees.
Furthermore, assuming you rebalance your portfolio monthly, which is the minimum you need to rebalance in order to remain even somewhat aligned with QQQ, you're basically going to be paying a MINIMUM of 30-40 bucks a month in commissions to Interactive Brokers, or 400 dollars a year. And on top of IBKR's commissions you then need to pay the pass through fees of about 5-10 dollars a month for a total of around 500 bucks a year.
Compare that to QQQ which only costs you 18 dollars a year for every $10000 invested.
I've read some incredibly foolish investment advise on HackerNews, but I think this one just about takes the cake.
You still are paying the capital gains taxes with the ETF, they are just rolled into the management fees.
You can avoid a lot of the short-term capital gains taxes by only rebalancing within certain thresholds and being ok with being "close enough" to QQQ instead of being completely aligned with QQQ.
ETA:
Looked it up, looks like I was wrong about the taxes being rolled into the fees. There's some extra weirdness associated with tax efficiency of ETFs.
I still think some of the numbers the parent provided were a bit handwavey and bullshit, but I'll acknowledge I was mostly wrong in my response.
Stating the obvious here, but only in a taxable account.
I rebalance frequently and on small divergences in the IRA, which has no trading fees and obviously no tax consequences.
In a taxable account I try to favor growth over dividends and rebalance very rarely.
I just found it a bit of a pain in the ass to manage a service to do that automatically, vs thirty seconds of chatting and getting results immediately, and having something that can be supplemented by RAGs in the process.
[1] I swear I had a blog post about how I did it somewhere but I seem to have misplaced it.
all while dealing with different and complex broker APIs and routing to different exchanges that have their own rules and limitations
on the other hand, agents just do it and handle edge cases themselves
I don't let it buy anything without confirming, and I will load the CSV into Google Sheets to make sure that the numbers more or less correspond to what I think they will. It's just easier to directly use the MCP and set up some custom skills for what I want to do.
Dunno, it seems to work fine.
Although maybe a bit spicier, VGT is half the cost of QQQ, so that is what my "NASDAQ" has been. I also blend in VTI to cut the volatility a bit, which is 1/3 the cost of VGT.
Some tax software nowadays will allow you to simply upload the tax documents with all the transactions and it will tabulate everything for you, so I don't think it will be too hard for me.
I'll admit that there's primarily just kind of a coolness factor to be able to say that I ripped off and copied QQQ without any fees, but I do genuinely like the idea that I can avoid companies that I think are terrible in the process.
On a more serious note, why do you need an LLM for this at all? It's an excel spreadsheet difficulty level task.
@dang if possible can you add this to my comment because I genuinely do not want to mislead anyone and have them repeat my mistakes.
I don't think that this contraption should necessarily perform tolerably, but the use of an LLM is not necessarily a wrong move.
https://en.wikipedia.org/wiki/Parable_of_the_broken_window
https://www.bogleheads.org/wiki/Getting_started
Basically what investment agents used to do in the 80s-90s where the only way to make a trade was to call someone at the broker and explain what you want.
Taking a step back, I see this as what llms are actually useful for. Empowering people to do things they might otherwise need to study and research for a few weeks to do. When ultimately, that research is just unnecessary gatekeeping.
And it shouldn’t take you weeks to understand how to trade options or any of the myriad of ways you can invest.
After a month, I’m going to check their mock trading sheet and see which one was the most “profitable” and then give that agent $500/day to make trades.
This is like going to war with the HFT firms armed only with a stalk of celery ("it's much pointier than the tomatoes, even though those are more expensive").
Obviously how much the average user will profit / compile debt from this change is a lot more variable.
r/wallstreetbets enters the picture... it will happen. And if it's not the "well-regarded" WSB people, it will be someone who drank way too much of the AI kool-aid.
On the other hand maybe it's just chasing trends, like their previous forays into blockchains. It pays because it keeps their name in the news.
Institutional order flow can move the market, or be an indicator that the market is going to move in that direction. So executing against it a worse bet than executing against retail flow.
1. https://cdn.robinhood.com/assets/robinhood/legal/rhc-fee-sch...
This feels like when everything became webified for no reason, or everyone added features like 3D TVs that were clearly not necessary.
This is only about removing friction for the non-professionals to rapidly burn their money...
If you’d like to make dubious trades that’s your prerogative and who am I to stop you.
https://www.npr.org/2026/04/05/nx-s1-5762276/teens-getting-h...
https://kyla.substack.com/p/gen-z-and-financial-nihilism
https://web.archive.org/web/20240226104327/https://youngmone...
https://web.archive.org/web/20240226104327/https://coinmarke...
Also, Claude knows about a lot of the traps that consumers can fall into: spread, execution, risk concentration, etc. -- high chance that if I tell Claude I'm thinking of going all in on AMC because some Reddit post told me to, it'll say "slow down cowboy"
Will it be is a different thing though. And if it’s not, who exactly is accountable?
With funds and portfolio managers that run them, there’s a clear accountability model (if the fund sucks, the manager loses their job and the company loses credibility)
With AI agents doing the management, who is accountable when the fund sucks? If it’s the customer, we’ve moved accountability from someone who at least in theory, knows what they’re doing to someone who has little to no clue.
An individual investor can invest with their risk appetite on their time horizon and not be subject to Citadel's "5% draw down in a quarter and you're fired" culture which can be toxic to returns over time.
Maybe if you prompt it to be highly critical of you, the user.
Otherwise it will absolutely right you out of money.
I am sure there are some very happy people in the larger firms due to this news.
I have ranted on here before about the SV startup mindset of “I don’t need to know anything about the industry I’m ‘disrupting’ nor do I need to play by their rules” and this was an example of that. On that day, everybody who was actually in capital markets went, “what f-ing idiots those guys are”
https://en.wikipedia.org/wiki/GameStop_short_squeeze
I suspect that the folks that get it right, will do nicely.
But not everyone will get it right...
> Oops, your in deep debt now.
Will be waiting for the notice to say that 70% of users lose money to now 90% of users lose money.