Research case study
Algotraders
How do trading interfaces shape investor behaviour?
- Behavioural finance
- Market experiments
- Platform design
Research question
How do trading interfaces shape investor behaviour?
This research stream studies how market information, interface design, and feedback change attention, risk-taking, and trading decisions. Custom market infrastructure connects behavioural questions to observable order placement and execution.
Design
Interfaces become experimental treatments
The programme combines online and laboratory experiments with purpose-built trading environments. Interface features, market-data access, and feedback can be varied while the platform records orders, executions, balances, and timing.
Participants receive experimentally controlled prices, order-flow signals, or interface features.
Human and algorithmic traders submit, cancel, and execute orders.
The market engine updates liquidity, spreads, positions, and transaction history.
The studies measure risk-taking, attention, information use, and performance.
System evidence
A controlled market behind the interface
The diagram represents a synthetic session: no participant records or live market data are shown.
Contribution
From research question to market infrastructure
I built the core market infrastructure and co-developed the studies. The platform coordinates human and algorithmic actors, maintains the order book, exposes controlled information, and produces structured behavioural records for analysis.
Outputs