Trade Simulator
Understand a trade’s mechanics before executing it.
A desktop cryptocurrency trade simulator for visualizing live order books and estimating slippage, market impact, fees, and maker/taker behavior.
APPLICATION SCREENSHOT · ILLUSTRATIVE OUTPUT
The problem
The quoted market price does not tell the full story of an order. Size, available liquidity, fees, and execution behavior influence the estimated cost.
How it comes together
A controller connects exchange WebSocket data to an order-book parser and simulation engine, then updates a PySide6 interface with cost estimates and market information.
Follow the flow.
Live exchange order-book feeds.
Slippage, impact, and exchange-fee estimates.
Maker/taker prediction for a selected order size.
A provider boundary designed for multiple exchanges.
Why this approach?
Separate market-data handling, simulation logic, and UI state so changes to one exchange adapter do not reshape the entire application.