Here is my investing story.
I didn’t come into markets chasing excitement or quick money. I came in because I had to understand how money actually works. A few years ago, a poor investment decision at home pushed me to take markets seriously much earlier than most people. That moment made one thing clear early on: investing without a framework is just guessing with confidence.
Over the last 1–2 years, markets have become more than just a side interest. Through a mix of equity investing, broader themes like gold and silver, and market-linked work, I’ve been able to meaningfully support my own college expenses and help reduce family liabilities. Some of the best outcomes didn’t come from clever stock picking, but from being positioned in the right themes early and staying disciplined.
My process today is top-down. I start with sector trends and where capital is flowing. Once a few sectors stand out, I look at institutional activity and stock rotation to validate the move. This alone filters out a lot of weak ideas. From there, I apply basic fundamental checks to avoid obvious red flags.
The biggest bottleneck for me used to be management commentary: concalls, investor presentations, filings. Reading everything manually across dozens of companies was slow and mentally draining. That’s where platforms like **Multibagg AI, AskFuzz and even ChatGPT** started fitting naturally into my workflow. Being able to ask focused questions on indexed company documents helped me move faster without skipping context. For anyone curious, this is the platform I’m referring to: [https://www.multibagg.ai](https://www.multibagg.ai), [askfuzz.ai](http://askfuzz.ai)
I still use general AI tools occasionally to understand macro themes or concepts, but for stock-specific research, portfolio tracking, and staying updated, I prefer tools built specifically for investors. I’m more momentum-oriented than purely long-term, but everything I do is process-driven.
For me, investing is no longer about finding the perfect stock. It’s about reducing noise by filteration and trusting a process that holds up across different market cycles.
Thinking to create a video on the same soon.