Analytics for Capital Market Trading
This course offers a broad coverage of quantitative trading and financial portfolio optimization, which consists of trading strategies based on quantitative analysis. It will also aim to identify trading opportunities, practices, optimal execution and placements of trading on current technological platforms. Regulations and risk management of quantitative trading will also be emphasized.
API access to data and analytics
Streaming and on-demand commute capability
Implement Machine Learning to automate workload Extensive coverage of global market data
Access to reference data
Evaluating algorithms and counter parties
Hosting/Ability to distribute content on an enterprise scale
Engaging with data has proven critical to growth in the financial services industry, and it has been demonstrated significant value can be derived from analytics led solutions. One of the biggest reasons financial companies in transition to data analytics have trouble taking full advantage of Big Data is that old leaders, unaccustomed to it’s capabilities, have under-estimated and under-planned for the scale of operation. Meticulous research and decades of industry experience have been brought together by NUS to provide a new leadership perspective into the practical benefits of bringing Big Data to your trading platform, and showcase industry leaders deploying the same techniques in their enterprise. Learn now, and position your company to be at the forefront of the best analytical capabilities available.
Who should attend?
- C level c level minus 1
- Those who don’t yet have Fintech strategy or looking for an industry disruption strategy
- Those looking engage in the latest technology
Course fees: $2568 (inclusive of GST)