rallies

6 ms·

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by rallies 3mo ago
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.
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Show HN: Openfactor – A multi factor risk model(github.com)
2 points by rallies 3mo ago|1 comments
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by rallies 4mo ago
Unfortunately we already have a product we're building. Probably can't find any extra time.
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by rallies 4mo ago
this is such a great answer, thanks! printing them out and reading them today
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Ask HN: Books for someone who is transitioning from FAANG to finance
3 points by rallies 4mo ago|6 comments
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by rallies 6mo ago
Not difficult at all. Nof1 has actually been doing that.
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by rallies 6mo ago
Cruel. Was having a good day! I know it's my own thing, but it's free, and it was a lot of work.
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by rallies 6mo ago
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 thesi
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by rallies 6mo ago
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 f
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by rallies 6mo ago
correct.
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by rallies 6mo ago
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.
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by rallies 6mo ago
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
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by rallies 6mo ago
The AI models are. Somewhat.
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by rallies 6mo ago
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.
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by rallies 6mo ago
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.
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by rallies 6mo ago
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.
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by rallies 6mo ago
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.
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Show HN: We're building an AI hedge fund(rallies.ai)
16 points by rallies 6mo ago|36 comments
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by rallies 9mo ago
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 r
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by rallies 9mo ago
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...
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by rallies 9mo ago
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 fl
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by rallies 10mo ago
We're running some live experiments these days, for both stocks and options. https://rallies.ai/arena
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by rallies 10mo ago
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:&#
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by rallies 10mo ago
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 pric
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by rallies 10mo ago
Developer here: We've only started this last week so not enough data right now, but it's a really interesting experiment
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Show HN: We gave LLMs money to invest in the market(rallies.ai)
1 points by rallies 10mo ago|1 comments
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by rallies 10mo ago
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 i
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Show HN: I gave ChatGPT access to live stock market data(rallies.ai)
2 points by rallies 10mo ago|0 comments
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Trump administration's Intel stake is up 5.6B dollars(twitter.com)
2 points by rallies 11mo ago|0 comments
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by rallies 11mo ago
Correction: made a mistake in assuming equal contribution for all holdings. Just fixed it to account for the actual value. The correct returns are 90%.

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