Long-form articles for operators in this space. Written by the team building Quorum.
Most AI trading platforms bolt risk controls onto strategy logic. The serious ones build risk halt at the framework level so it cannot be bypassed. Here's why that distinction matters and how to evaluate it.
Single-model AI trading platforms have one set of failure modes. Multi-agent systems have internal disagreement, which surfaces uncertainty before it becomes P&L damage. The architectural argument.
The most common failure pattern in retail algo trading is a profitable backtest that produces flat or losing live results. Five reasons backtests overstate live performance and how to test for them before deploying capital.