Hello world

Hey! I’m building an AI agent that can automate fundamental/discretionary research and trading processes. I’m creating this blog to showcase and improve upon my agent. At the same time, I’m also going to record my own thoughts/judgements as I want to personally improve my investing and trading. I’m making this blog public so I can hear other perspectives and see what I’m missing, right now, I’m building the agent to automate my trading process (which is also brand new as I’ve just started trying to make my own calls). Thus, I hope to provide you an interesting perspective to view the markets and to hear back from you on what I’m missing and potentially getting wrong.

The philosophy of this project:

Idea generation in trading can often take a long time, however I think that this process can be significantly shortened via automation. I’ve listened to many podcasts where traders/investors speak of their process for getting ideas and turning them into trades. Many of these processes involve asking a checklist of questions, doing research, modeling, etc. When trying to start trading, I began by thinking of how to create my own trading process, and the task felt incredibly daunting. For me, there were two issues. First, researching extensively takes a lot of time and there are many rabbit holes to go down. Second, even after forming convictions, you have to constantly monitor the markets to find good trades. With my time and attention incredibly limited, I realized I needed a more efficient approach and thus, this project was born. While I believe idea generation can be automated, I don’t think the human judgement piece can or should be. My end goal is to automate as much of the trading process as possible so that humans can focus on the judgement part of the process where it is most important for them to focus.

What does the agent do at present and how can you get the most value from it:

I’m very interested in macro, so I started building an agent to research the fed. Eventually, I will roll out more agents for other markets, but I want to improve this agent’s process first. The current process is 1 the agent does deep research to report fundamentals and market beliefs from the news, then 2 the agent looks at Kalshi markets and tries to see where the fundamentals diverge from prices or if markets aren’t consistent with one another. I think the most important and interesting parts of the resesarch are the overlooked material information section, objective mosaic conclusion section, and the Kalshi discrepancy scan. However the whole report itself has lots of information and is worth a read if you’re interested.

Obvious disclaimers:

While the AI will explicitly mention that its trying to be objective, everything is still up to YOU to make judgements on. You should ALWAYS think for yourself and make your own judgements. Nothing on this website is investment advice. Also, while I have taken efforts to reduce AI hallucinations (and I think I’ve done a pretty good job), you should always be aware that they are possible and if you are basing judgement off of specific metrics, then you should take care to double check them yourself.

About me:

I’m a recent college grad who’s super into markets and machine learning/AI.

Where I hope to see this blog go:

As I keep working on this project, I hope to either create my own AI native hedge fund or build a tool that all institutional investors will need.

Why the goofy website name:

I think there is inherent uncertainty when trying to predict the future because the future is dependent on the actions of humans and humans are irrational. Trading/investing in my mind is akin to gambling, but you can actually get good at it unlike roulette which is always stacked against you. Even still, inherent uncertainty means you shouldn’t delude yourself into thinking that you aren’t still gambling.