rallies
Re:Show HN: Agency – Manage Agents for Your Robinhood Agentic Account
on Thursday September 24, 2026 @03:08PM (#49835454)
I get this a lot.
1) I think as agents get better, the probability that this happens becomes low. 2) I hate saying this tbh, but Robinhood is very clear that any mistake in the account is user's responsibility.
The only thing I can do on our end as we build this is make sure all context is there for the model to not make such decisions, there are software based safeguards, etc.
It'll take some time but I think as long as there's good context and guardrails, you can really prevent a lot of bad stuff from happening.
Re:Show HN: Agency – Manage Agents for Your Robinhood Agentic Account
on Thursday September 24, 2026 @03:01PM (#49835360)
I'm very bullish on LLMs being able to invest in the market well, as long as proper safeguards are there.
Robinhood agentic accounts is an amazing idea but you can't really automate stuff that can run on its own. Different companies have different ways for setting up automation which most retail traders are not aware of.
Agency fixes a lot of this. It's a Mac OS app that keeps your account on your device, and lets you build agents that can run on their own every day to manage a sleeve of your cash.
Re:Show HN: Openfactor – A multi factor risk model
on Wednesday June 24, 2026 @12:17PM (#48662104)
Software engineer, trying to get into fintech. This is an open source tool I built to test out a bunch of portfolios I'm building with AI.
Show HN: Openfactor – A multi factor risk model
Re:Ask HN: Books for someone who is transitioning from FAANG to finance
on Saturday May 30, 2026 @09:42PM (#48342314)
Unfortunately we already have a product we're building. Probably can't find any extra time.
Re:Ask HN: Books for someone who is transitioning from FAANG to finance
on Saturday May 30, 2026 @09:41PM (#48342311)
this is such a great answer, thanks! printing them out and reading them today
Ask HN: Books for someone who is transitioning from FAANG to finance
I have been an AI engineer for the last 10 years of my life, and have continued to build small algo-trading systems during my weekends.I'm getting into finance full time and starting to build a product in the net worth tracking / agentic finance / LLM driven investing space (B2C)I would love to read up on as many books as I can just to deeply understand the field, the way things run,...
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:24PM (#47632496)
Not difficult at all.
Nof1 has actually been doing that.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:24PM (#47632490)
Cruel. Was having a good day! I know it's my own thing, but it's free, and it was a lot of work.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:21PM (#47632461)
Two goals.
- First is to actually evaluate whether these LLMs have any intelligence around investing. If you actually give them all the data, can they do well? Can they beat the market? I'm not sure, we're testing that.
- My thesis is that they will actually beat the market (I know a lot of you will disagree). If that's the case, how can we invest a lot of resources in building the best harness, tool calling, etc to enable these models to invest.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:19PM (#47632436)
I agree. A couple of things.
- We've built a local vector database with every SEC filing over the last few years. And we've built a tool call on top of that to allow these LLMs to read and query sec filings. - Have done the same for a lot of other data sources, just giving the LLM access to them and allowing it to spend some time to actually research.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:11PM (#47632341)
correct.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:06PM (#47632290)
haha lol.
I actually think it's doing better now. It was just too stubborn to exit its position for the first few months. It did that, and put some money into MSFT/JPM recently.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @05:05PM (#47632279)
In case it's not clear.
This is an experiment to see how well can LLMs invest in the market through a lot of research. We give them tool calls to access every financial dataset that exists online, and also some money to manage. And we then see how well they do.
The experiment started in November 2024.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @04:56PM (#47632159)
The AI models are. Somewhat.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @04:55PM (#47632148)
I'm fixing it. Give me a minute, apologies.
Edit (reply on your edit lol): you're right.
Second edit: fixed now. No more walls anywhere.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @04:55PM (#47632142)
there is no human in the loop, there is no high frequency trading. We're trying to have AI mimic what fund managers do:
- lots of research - longer time horizons - zero humans in the loop, but explain every single thing you do.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @04:54PM (#47632136)
ML driven is. LLM driven is still nascent, especially the idea that as large language models get more advanced, can they research and invest like a fund manager.
Re:Show HN: We're building an AI hedge fund
on Friday April 03, 2026 @04:38PM (#47631943)
Founder here: YC actually had an "AI hedge fund" idea in one of their recent "request for startups" post. We've been working on evaluating the capabilities of frontier models in investing money in the stock market. Results are encouraging and we're not doubling down on it.
Happy to answer any questions.
Show HN: We're building an AI hedge fund
Re:Ask HN: What Are You Working On? (December 2025)
on Sunday December 14, 2025 @03:46PM (#46266707)
https://rallies.ai
Working on building an investment assistant backed by real time data. ChatGPT and Perplexity finance are amazing, but all of them are based on web search data only, which is a big limitation in finance since realtime data is important.
We have an agent that has access to almost every data point you can think of in the stock market (as much as we can get), which gets leveraged before answering.
And we also figured out ways to build amazing charts in between answer snippets, which looks very cool. Investors are usually very visual.
Here's a nice parsing of all the important financials from an SEC report. This used to be really hard a few years ago.
https://docs.google.com/spreadsheets/d/1DVh5p3MnNvL4KqzEH0ME...
I work at the intersection of AI and investing, and I'm really amazed at the ability of this model to build spreadsheets.
I gave it a few tools to access sec filings (and a small local vector database), and it's generating full fledged spreadsheets with valid, real time data. Analysts in wallstreet are going to get really empowered, but for the first time, I'm really glad that retail investors are also getting these models.
Just put out the tool: https://github.com/ralliesai/tenk
Re:We gave 5 LLMs $100K to trade stocks for 8 months
on Thursday December 04, 2025 @11:41PM (#46156899)
We're running some live experiments these days, for both stocks and options.
https://rallies.ai/arena
Re:We gave 5 LLMs $100K to trade stocks for 8 months
on Thursday December 04, 2025 @11:41PM (#46156896)
I think the big limitation of nof1 is that they're not using a lot of data that an actual investor would use when researching companies.
We're trying to fix some of those limitations and run a similar live competition at https://rallies.ai/arena
Re:We gave 5 LLMs $100K to trade stocks for 8 months
on Thursday December 04, 2025 @11:40PM (#46156894)
This is pretty cool.
We're also running a live experiment on both stocks and options. One difference with our experiment is a lot more tools being available to the models (anything you can think of, sec filings, fundamentals, live pricing, options data).
We think backtests are meaningless given LLMs have mostly memorized every single thing that happened so it's not a good test. So we're running a forward test. Not enough data for now but pretty interesting initial results
Re:Show HN: We gave LLMs money to invest in the market
on Thursday December 04, 2025 @03:09PM (#46152296)
Developer here: We've only started this last week so not enough data right now, but it's a really interesting experiment
Show HN: We gave LLMs money to invest in the market
Re:Ask HN: What Are You Working On? (Nov 2025)
on Sunday November 09, 2025 @11:53PM (#45872556)
Working on building a chatgpt wrapper with real time stock market data. More than 70% investors are using Chatgpt for their investment analysis these days, but the data is quite dated since it's all based on web search. Trying to fix it.