Brand New LLM & AI Tool for Investments and Trading | Hacker News Reader

Brand New LLM & AI Tool for Investments and Trading

2 pointsAllMind5 comments

Hello, Everyone; I'm Anwaar Malik. I have a background in CS+Finance from the University of Waterloo with additional education in Economics from Harvard. Today, I officially launched AllMind AI to the public. We have been in beta for the past two months and have had analysts, independent investors, and professionals from the finance world review our product to see how we can improve it. I developed AllMind AI to address common challenges faced by investors. In the finance sector, investors typically encounter three significant hurdles: 1) High cost of data; 2) Data is scattered, requiring visits to multiple locations to obtain information, each with its learning curve and fees; and finally and 3) The complexity of transforming raw financial data into actionable insights for investment or trading decisions. This led me to create AllMind AI, designed to significantly reduce the time and money investors spend on research and analysis. During our beta testing, professional analysts from major firms and independent users reported an average savings of 90% in research time and 98% in subscription costs. Our goal at AllMind is to save time and increase profits for investors. We want you to make confident data-driven decisions for your investments. If you are interested in this product, I recommend you check it out (you can use it for free!) https://allmindinvestments.com/

Interesting concept. I tried the query "Please provide a comprehensive analysis of Bell Canada's fundamental financial metrics" as I am quite familiar with BCE as a company.

The output was quite generic. Lots of buzzwords, without any substantial discussion about the what the company actually sells or what they are investing in (fibre to the home network, 5G, evolution from telco to tech services firm, cloud consulting, etc...).

Also the financial "analysis" was limited to discussing the PE ratio and P/B of the company. Telcos are typically valued based on EV/EBITDA or EV/FCF -- this is standard amongst analysts and investors in the Telco community.

The analysis seemed very surface-level, but it's an interesting start.

Hi GetToTheChopin. Firstly, thank you so much for trying out this product. It truly means a lot for people trying out something new that you made. To help you improve your experience. When looking at "financial metrics," traditionally, analysts would look at "metrics". These would include features such as "P/E," etc. If you were looking more toward products than, a prompt such as "Hi AllMind, could you tell me what Bell Canada's top revenue sources and products are?" Would help you. I tried the prompt out myself, and AllMind AI's response included the products you mentioned (Fibre Network, 5G, IoT, Consulting, etc.). The EV/EBITDA and the other metrics you mentioned are in our roadmap and will be added very soon. In our initial launch, we wanted to focus on very common and most used metrics. These include the EPS, P/B, Book Value, etc., which most investors use primarily. However we plan to add over 250 more metrics to be incorporated with the model in which EV/EBITDA and EV/FCF are included. This update will be added very soon shortly in our next major update. As great minds think alike, I appreciate that you wanted to push AllMind's limits very early in the launch, and I assure you that it will be able to handle both metrics very soon. If you have any other feedback, I would love to hear it because only from user feedback can we improve and better our product for the satisfaction of our users such as yourself.

Thanks, Anwaar

Also today is our launch on product hunt: https://www.producthunt.com/products/allmind-ai

Super cool product

Super cool shill account

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