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Journey into Quant Finance

Don't really know where to begin with this. Maybe a brief where I currently find myself is a good intro to what this is about.

I'm currently a data analyst intern who is trying desperately to land a finance job in a data related world. I recently developed an eagerness for quantitative finance, so going back to uni seemed the obvious choice, but I need to be working while going after this goal, as I'm a big fan of not starving to death or living in the streets. And working in a transitionable field seems to be the smartest choice.

If I'm being completely honest here, the main reason why quant became a goal of mine is because I want to be financially independent, and God knows I've tried multiple things in other to be so. Of all I tired though, day trading seemed to be the one I actually saw a glimpse of hope, more specifically Order Flow trading. But if you are as impulsive as I am, implementing the strategies you learn can prove to be challenging. Plus the recent skills I acquired during my level 5 (I live in Portugal) Data Science and Information Management course meant I could actually find a way to automate OF concepts without having to actually see the charts.

So I came up with the idea of creating portfolio worthy predictive models. It initially felt like I'd done successfully. But my earlier projects leaned heavily on AI for the coding, which left me with results I couldn't fully explain. Thus moving forward, the approach will be using AI as a guide pointing to documentation and concepts, not as a code generator.

Looking something like the following:

  1. I prompt my AI mentor to give me a Quant Research Ecosystem roadmap. This resulted in 8 projects.
  2. Then every project is divided the into sessions, with specific tasks.
  3. I am directed to books and documentations for the coding, debugging and concepts.
  4. After every session I explain in my own words what I've learnt. 
  5. Because I love validation, but more importantly, for feedbacks, I post my findings and learning on platforms.

So hopefully by the end of each project I have a complete mental image of what I built.

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