My name is Shubham Sood and my forte is First Principles.

I set out to solve a problem: understanding markets beyond the noise. I came from outside the system—hotel management, facilities management, technical support—no elite credentials, no Silicon Valley pedigree. But that’s precisely why I see markets differently. Where others chase signals, I chase understanding.

Markets are drowning in data—satellite feeds, order flows, institutional signals—yet most traders still rely on signals, not reasoning. The race for faster trades is over. The race for smarter trades is just beginning. And the winner won’t be who is just the fastest—it will be the one who understands first and then executes with lightning fast speeds.

The markets are not a puzzle to be cracked. They are consequences—of decisions, flows, power, and patterns. I’ve always believed that understanding those patterns requires more than speed. It requires reasoning. I learned that the hard way—trying to be a trader, chasing alpha, chasing news, and realizing that the market always runs ahead. Alpha isn’t found in the race. It’s found where everyone stops running and starts thinking.

But no human can reason through it all—not with the scale of information that shapes markets today. Satellite imagery revealing supply chain stress, institutional order flows hiding behind the tape, Level 3 market data exposing liquidity walls, and company books telling stories that earnings reports won’t. The truth is in the digits—flows, patterns, cause and effect. Not hype. Not noise.

So, I made a choice. I could spend my life chasing alpha—or I could teach silicon to do it for me.

I chose silicon—not because it’s cheaper than tuition, but because it never sleeps, never forgets, and can learn without limits. I taught myself to code—not to become an engineer, but to become a builder. And today, with AI-powered coders as my pair-programmers, I can write industry-grade code myself. Phase one, I will build alone. No team, no overhead—just me and the machine.

What I’m building isn’t a trading software. It’s an intelligence system—a machine that doesn’t just predict prices but understands companies. It will read markets like a forensic analyst, seeing through books, tracing liquidity flows, detecting patterns that vanish in noise. Institutional order flows, satellite intelligence, real-time sentiment analysis—all deduced down to executed trade signals.

This is not a race for speed. It’s a race for clarity. 

Why Me?

Because I built this pursuit on necessity—pure necessity. I don’t have a Stanford degree, and I won’t hide that. Because last I checked, investors don’t back résumés—they back skills- they back reasoners and doers. And I am both. A self-learner who taught himself to speak the language of machines at the age of 30—not for technicality, but for being able to communicate with silicon.

Even my help is AI-powered. I can write industry-grade code in 20+ languages, not by convention, but by ingenuity. I believe when you pair self-learning with a relentless need to ask 'why', limitations disappear. 

And that’s why I believe: A machine that reasons, deduces, and acts—will win. Not by chasing the market, but by deducing knowledge down to Alpha. It will be a system that learns, adapts, and refines itself with every data point. Its never static, never finished, always evolving. An absolute Student, because teachers stop learning. This is not just a trading engine connected to multiple Stock Exchanges, No. It is a cause-and-effect engine, capable of mapping the world through every signal it emits. And based on this intelligence—the highest form of intelligence—We don’t just ride the waves of the FinTech world, we position ourselves as someone who is in the leagues of those who create them.

Student1.0 is not just a single engine—it’s the foundation of a financial intelligence ecosystem. But unlike tools built to serve analysts or hedge funds, this one wasn’t made to scale outward. Because here’s the truth: "Alpha, once understood by the masses, is lost."

We aren't in the SaaS business. We are not analysts. We are not dashboards. We don’t chase price — we deduce cause and effect using Science and Mathematics. This system is not a product. It’s an edge.

A proprietary model that learns, reasons, and acts — not for a few but strictly for ONE entity.

The Future is Lean

I envision a future where Student1.0 will have thousands of employees and a few hundred humans. Welcome to Bayesian Valley.

This Is Student 1.0. Because it learns.

And because the pursuit of understanding never stops.