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quantum_stock_simulator

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quantum_stock_simulator
A
3rd-year B.Tech (AI & ML) at PES University, EC Campus. Founder of Khojapp.in β€” a campus lost & found platform with 500+ users. C4GT DMP '26 contributor: migrating Helpline104 healthcare UI at Piramal Swasthya, mentored by IIIT Hyderabad. GSSoC '26 open-source contributor. I write about building in public, AI systems, open source, and the specific chaos of shipping real products as a student. Not tutorials. More like notes from the field.

πŸ“ˆ Simulating Stock Markets with Quantum Fluctuations

What if stock markets were governed not just by human behavior, but also by quantum probability?

Welcome to my project: quantum_stock_simulator β€” a quantum-inspired financial model that simulates stock price behaviors using stochastic quantum fluctuations.


πŸ’‘ Why I Built This

Traditional market simulations use Brownian motion or geometric random walks. I wanted to explore an unconventional path β€” leveraging quantum-inspired randomness to simulate unpredictability in stock price movement.

The result? A tool that blends quantum theory with financial modeling.


🧠 What It Does

quantum_stock_simulator is a Python-based simulator that:

  • πŸ“‰ Models price movement using quantum-inspired noise

  • πŸ“Š Generates stochastic outputs mimicking real-world stock behavior

  • πŸ”€ Introduces non-deterministic price jumps based on qubit-state fluctuation logic

It’s not financial advice, but it’s definitely a fun way to learn how quantum randomness can impact simulations.


βš™οΈ Tech Stack

  • Language: Python

  • Libraries: numpy, matplotlib, custom quantum RNG functions

  • Domain: Quantum + Finance

πŸš€ GitHub Repo

πŸ”— quantum_stock_simulator

Open-sourced and ready for contributions!


πŸ§ͺ How It Works

  • Instead of pseudo-random number generation, it uses quantum randomness logic.

  • Qubit-inspired variables impact whether stock prices rise, fall, or remain stable.

  • The price evolution is plotted, reflecting quantum uncertainty in markets.

This can be useful for:

  • πŸ“š Learning simulations

  • πŸŽ“ Teaching quantum uncertainty

  • πŸ§ͺ Experimental finance


🧲 Real-World Relevance?

Quantum computing is starting to impact finance β€” from optimization to fraud detection.

This project is an experimental peek into how quantum randomness might offer a new layer of realism in modeling complex financial systems.


🀝 Let’s Connect

Love quantum finance or cool simulations. Let's connect and build together!

πŸ™ GitHub: Aarti-panchal01

πŸ’Ό LinkedIn: Aarti-panchal

πŸ“§ Email: aartipanchal539@gmail.com

Thanks for reading! The future of finance may just be a quantum leap away πŸš€πŸ“‰πŸ§