Hacker News new | past | comments | ask | show | jobs | submit login
Show HN: AI-Powered Stock Market Analyst with Global Coverage (decodeinvesting.com)
51 points by clark-kent 6 months ago | hide | past | favorite | 31 comments
We’re thrilled to announce the launch of our AI-powered stock market analyst chatbot, designed to help you analyze stocks and gain valuable market insights with ease. Our intuitive conversational chat interface makes it simple for anyone to get started.

Why You’ll Love It: Our AI Analyst uses a long-term value-growth investing strategy, similar to those employed by legendary investors like Warren Buffett, Mohnish Pabrai, Phil Town and Charlie Munger. It’s built to provide you with thorough, data-driven analysis to help you make informed investment decisions.

Key Features: - Comprehensive Analysis: Analyze, review, and compare financial records of multiple companies at once. - Global Coverage: Access over 68,000 stocks across 69 stock exchanges worldwide. - Rich Data Insights: Our AI Analyst taps into a wealth of data, providing deeper and more insightful analyses.

Data Access Includes: - Company stock quotes (price, volume, market cap, etc.) - Company profiles - Key product information - Financial ratios & metrics - Latest earnings call transcripts - Recent news headlines and summaries - Company press releases - 15+ years of financial statements (income, balance sheets, cash flow) - Executive compensation - Insider trading activity - Past earnings call transcripts - Trailing Twelve Months (TTM) ratios - Analyst earnings estimates - Historical analyst recommendations - Historical dividends and stock splits - Key ratios, owner earnings, and enterprise value - Price target summaries - Analysts’ price targets - Historical stock price and intraday price charts - ESG ratings and benchmarks - Daily most active, gainer, and loser stocks and much more.

Available now at decodeinvesting.com/chat.

We’d love to hear your feedback and thoughts. Try it out and let us know what you think! Your insights will help us continue to improve and provide the best possible tool for stock market analysis.




Who is your target market? This seems like it's too simple/without any integrations with common trading platforms to be useful for pros, but it provides too deep of information for amateurs.

I'm always skeptical of financial tooling involving AI. If it was truly valuable, I don't think it would be released as it's basically a money printer with the edge it provides by keeping it private. On the other hand, I don't trust any of these tools to be accurate enough to provide an edge, especially if I can't see the code.

Additionally, for a lot of traders, reading these documents is in itself enlightening as there is quite a bit of reading between the lines that happens with things like 10ks.


This reasoning for fintech is mostly wrong. The people who have alpha and are trading are very rarely the people who have data engineering and infrastructure skills.

Your hypothesis is essentially that Bloomberg, as a company, doesn't make sense.


> This reasoning for fintech is mostly wrong.

If it is wrong, what is right?

> The people who have alpha and are trading are very rarely the people who have data engineering and infrastructure skills.

How do you know this? Can you cite some useful information?

> Your hypothesis is essentially that Bloomberg, as a company, doesn't make sense.

Providing pickaxes to miners has been a viable business model since the dawn of the modern age. But that's not what (mis)using LLMs for picking stocks is, unless you are in the shitty tool business. Bloomberg's tools are top of the line.


Yeah I am confused. The hedge fund or market maker is literally all those people in one room.


Arguably the question is whether:

- The edge is large enough

- The provider has sufficient capital to exploit the edge

I guess if you can prove the edge, you could find capital, but I really have no clue how difficult that might be.


It is released by both OpenAI and Anthropic each to one of their key partners(large hedge fund) with exclusive access. I have inside sources at both that have told me as much.


That's great, but that's not what this app is.


I had considered this idea for a while so I'm happy someone built it, but I think because it's an llm it may be putting too much weight on the statements made by the company in reports/transcripts, which are generally given a lot of spin and light on details. The general info about competitors and the business also seems very out of date, at least from the few responses I could test. It could use more news summaries as training data so it at least has an idea of what current trends are and what companies are doing this year.


Your financial AI is quite awesome. We have built Aiswers.com, an open collective AI platform for user to get answer from different AI, and for AI developer to showcase their AI ability. I think your AI model/agent will fit the financial user's questions.


It used to be the standard knee-jerk reaction here on HN to comment on how requiring sign-up just to try was a big no-no.

I'm curious if you're actually seeing people sign-up and try it. From the comments below, it seems after 2 hours, none of the commenters have tried it.

Did you consider not having a sign-up? How are you planning to get over this hurdle? Is it a hurdle?


Is this financial advice?


Entirely restricted from watchlists unless you pay? This is going to drive people away. At least allow a few..


Great suggestion! I will look into making watchlists and favorites completely free.


Would 100% try and buy a tool like this as I am the target market, but no way I'm going to go out of my way to sign up and pay for something I can't see value in behind a paywall.. "you and everybody else." Try a freemium or something? Good luck.


Addendum: It's not about the money, it's about the complexity. It isn't worth my mental overhead if I can't see a transparent value of the thing I'm buying. (Then I have to cancel, etc.. )


I didn't get the chance to play with the tool. I work in fintech and recently started to dive into generative AI.

Please tell how is tech different from having a RAG built on top of financial data?


Doing RAG over financial data is ok for simple tasks. But if you want the Assistant to answer complex questions with a lot of context, and compare the metrics of multiple companies at once then just RAG over financial data will not be enough.

Our AI Assistant focuses on pulling the right data for each question over a large amount of data, then understanding and synthesizing it to provide nuanced insights.


No information of consequence is being shown on the site. The site is not working for me. It's hardly loading.


Can you try using https like https://decodeinvesting.com/chat/


It was not working with uBlock Origin, but it started working after I disabled the extension.


Lots of tools already provide this info in a dense and easy to consume form. How is doing it through a chatbot better?


Does it covers all the markets or specific to a country.


It covers all the major stock exchanges worldwide, including NYSE, London Stock Exchange, Nasdaq, Hong Kong Stock Exchange, Euronext, and many more. In total, it covers 69 stock exchanges worldwide.


decodeinvesting.com/chat

this doesn't work. maybe you need the https?


I will look into that. It should redirect to HTTPS. This will work https://decodeinvesting.com/chat


[flagged]



Thanks, that's, er, good. It's so rare to find a comedian I'd never heard of who's that good.


Maybe because they are launching their own product after presumably a lot of work, undertaking a reasonably huge risk, and possibly the first one?


Maybe it's a cultural thing: https://www.youtube.com/watch?v=houFuiYrEi0


Well given that it's an AI based product, it's not unreasonable to assume that they might have delved into using an LLM (see what I did there?) to help generate the launch announcement, and that's just the kind of overly effusive verb ChatGPT would lean towards using.


Good one




Consider applying for YC's Spring batch! Applications are open till Feb 11.

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: