Trading Simulator

• Select one of five fictional equities.
• Watch prices update once per second.
• Enter a quantity and buy or sell at the current simulated price.
• Hold positive quantities for long positions and negative quantities for short positions.
• Track total equity, score, portfolio quantities, position values, and gains or losses.

The simulator includes NL Co, Bank of Finance, DCF Industries, Walls and Streets Architecture, and AI Tech. Each asset is assigned different drift and volatility parameters, creating distinct price behavior across runs.

Prices are generated using Geometric Brownian Motion, a stochastic process commonly used to model financial prices. A random shock is combined with asset-specific drift and volatility each second.

S(t + dt) = S(t) x exp((mu - 0.5 sigma^2)dt + sigma sqrt(dt)Z)

Prices are constrained to remain positive, and recent history is retained for charting.

The application tracks a cash balance and a position quantity for every equity. Total account value is calculated as cash plus the market value of all positions.

Total equity = cash balance + sum(position quantity x current price)

Short positions gain value when prices decline and lose value when prices rise. The score equals current total equity minus the $10,000 starting value.

The interface displays a selected-equity price chart, a total-equity chart, a live portfolio list, quantity controls, and buy and sell actions. The application is client-side, uses no external market feed or database, and does not persist between runs.

This is an educational simulation using fictional assets and generated prices. It does not model order books, liquidity, transaction costs, slippage, taxes, or real brokerage execution, and it should not be interpreted as investment advice or a performance forecast.