AI, Automation and the Next Trading Architecture

Artificial intelligence is increasingly becoming part of financial technology. Its potential applications range from data analysis and classification to monitoring, research and decision-support systems.

But greater intelligence also increases the importance of governance. ASIC has noted that AI and

machine-learning systems can create additional risks in algorithmic trading, including unexpected outputs, opacity in decision-making and the possibility of amplified market movements when systems react similarly to market conditions.

The Future Is Not Automation Without Oversight

The stronger model is automation with controls: clear objectives, measurable constraints, testing, monitoring, auditability and the ability to intervene.

The Technology Stack Will Matter More

• Data quality and validation

• Strategy and signal architecture

• Risk and exposure management

• Execution and order-state management

• Observability and real-time monitoring

• Security, access control and resilience

• Governance, testing and documented change management

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