I built financial technology used by traders, ALyCs, and prop firms — from scratch, with Python, broker APIs, and a lot of broken bots that taught me more than any classroom ever could.
While the world was debating which credentials you need to "belong" in finance...
I was shipping:
→ A Black Swan Monitor tracking 14 tickers in real time
→ Options pricing models with Black-Scholes & IV mispricing detection
→ Algo bots integrated with IBKR, Binance, BYMA, and KuCoin
→ Full-stack fintech tools deployed for real clients
The black swan doesn’t warn you.
And it doesn’t ask for your resume.
The market doesn’t care about the diploma on your wall.
It cares about whether you can read what others can’t see — and build what others won’t.
I’m not saying don’t study.
I’m saying don’t wait until you feel “ready.”
Results are the only degree that matters.
—
🚀 At QuantEdge Solutions we build high-performance financial technology. No excuses. No academic gatekeeping. Just results.
I've heard this from 3 different startups this year.
So I built one.
Metriva is an AI-powered business analyst that:
📊 Turns messy spreadsheets into executive dashboards
🧠 Writes C-level business briefs automatically
📈 Forecasts trends + detects anomalies
💬 Answers questions about your data in plain English
🎯 Finds your Pareto 80/20 — who drives 80% of your revenue?
No SQL. No Python. No data team.
Just upload your file and get answers.
Built with Flask, vanilla JS, and a lot of late nights.
Turning messy sheets into executive dashboards in one click cuts the data crunch time dramatically. Getting plain English answers from raw files removes the back and forth with analysts.