Quantum Mechanics Trading Bot
PIVOT uses physics to highlight real-world applications. We explore a niche idea in finance-treating stocks like quantum objects. Since both markets and quantum systems feel unpredictable, we built a proof-of-concept bot that trades on paper, not for profit, but to show the power of physics-driven thinking.
Project Overview
We represented NYSE stocks as quantum‑like objects and kept the math at a manageable level. The goal was clarity and demonstration over complexity, bringing physics and finance together in a way that’s hands‑on and testable.
The outcome is a bot that can place automatic trades on a paper‑trading account via API. Its purpose is educational: to show we can translate core physics ideas into working software.
At a Glance
The Idea in One Equation
This Hamiltonian represents total energy of a particle. We kept the math simple enough to be practical, then mapped each term to market features for a clear demonstration.
Mapping Physics to Markets
m → Market Cap
Mass corresponds to market capitalization. Heavier stocks move differently.
F → Volume
Field strength maps to trading volume. The push from market activity.
ω → Volume Cycle
Frequency reflects cyclical volume patterns observed in some assets.
Implementation
How We Built It
We implemented the concept with a simple, modular pipeline-ingesting market data, applying the physics‑inspired logic, and sending orders to a paper‑trading API.
- Education first: the goal wasn't profit, it was demonstration.
- Fast iteration: keep math and code lightweight to move quickly.
- Clear mapping: tie each physics term to an intuitive market feature.
Collaboration
We love turning physics ideas into practical demos. If you’re interested in data partnerships, validation, or exploring real‑time experiments, we’d love to connect.