Building a Monte Carlo Stock Simulator on a Restricted School Chromebook

Constraints create creativity.
I am a 13-year-old student (7th grade) with a dream: getting into Wharton Business School. But currently, I only have a school-issued Chromebook with strict network filters and no local dev environment.
Instead of giving up, I spent my time mastering raw JavaScript logic. Today, I’m showing off my latest project: High Capital, a quantitative trading simulator.
🚀 Key Features:
Monte Carlo Engine: Real-time price simulation using drift and volatility variables.
Performance First: 2000+ lines of raw JS/HTML/CSS optimized for low-end hardware.
Data Driven: 24+ procedural industries with randomized economic events.
Dynamic Visuals: Real-time charting using Chart.js.
🛠️ The "Chromebook" Challenge:
Developing on ChromeOS meant dealing with CORS issues and a lack of professional IDEs. I had to keep everything in a single, massive 1600+ line file to ensure it runs smoothly.
📜 My Background:
I might only be 13, but I’ve already cleared simulations from Goldman Sachs, Citi, BCG, and Google. I believe that logic and grit matter more than having a $3000 MacBook.
I'd love to hear your feedback on my simulation logic!
(Optional: Here is a snippet of my Monte Carlo loop:)
javascript
// Quick logic peek
const noise = (Math.random() - 0.5) * 2;
const dailyChange = s.drift + (noise * s.volatility);
s.price *= (1 + dailyChange);