nential increases in amount of data (“Big Data”) to analyse in support of trade decisions.
Advanced financial instruments and increased government regulations driving more complex trading workflows.
Algorithmic trading and electronic trading leading to more frequent trades and less natural liquidity.
Traders being pulled into more parts of the trading workflow – research, analytics, customer relationships.
Consumerisation of tech, and uptake of sentiment analysis of Twitter for trade support.
Traders are being asked to do more with fewer people supporting the trade workflow.
Overall, the trader desktop environment is relatively closed and has not kept pace with advances available to enterprise.