The prop firm technology stack, layer by layer.

Signup, identity verification, purchase, the dashboard, education, competitions and payout requests. This layer determines conversion and a large share of support volume, because everything a trader cannot see for themselves becomes a ticket.

The common failure is that the dashboard reports numbers it computes independently, so what a trader sees and what the firm acts on diverge under load. See trader dashboard.

The trading workspace, the data feed behind it and the engine that matches orders. This layer carries the licensing obligations and produces the fills everything downstream depends on.

The common failure is treating market data as a feature rather than a licensed input with reporting duties. The second is a matching engine whose behaviour cannot be reconstructed, which makes disputes unwinnable.

Rule definition, continuous evaluation against live state, breach determination, resets, scaling and payout eligibility.

The common failure is splitting authority: rules enforced in the trading platform, eligibility computed in the back office, and no single record that reconciles them. See risk management.

The customer record, agreements, purchases, refunds, identity verification, payout requests and the money movement behind them.

The common failure is that the CRM holds a customer while the trading platform holds an account and nothing authoritative joins them, so a person with three accounts looks like three people — which is also how fraud hides. See operations CRM and fraud prevention.

Support is the layer where every other layer's gaps surface, and observability is what lets you answer rather than guess.

The common failure is having no way to reconstruct a specific trader's experience at a specific moment. If answering 'why did this account fail on Tuesday' takes an engineer and three exports, the stack has an observability problem regardless of how good its features are.