Bquant Spotlight – Building an Ai-Powered Pair Trading Application
Pair trading has long been a strategy favoured by traders to capture alpha regardless of the market direction.
Join us as we show how we've moved simple pair trading models from Excel to BQNT, and how we can now use BQNT enterprise to fully automate trade idea generation, with unlimited data sets and powerful machine learning libraries.
-How to build a BQNT application to test co-integration of stock pairs and ETFs, and see how the trade signals would have performed.
-Watch as we add larger data sets and features to the pair trading idea generation process, and improve performance using machine learning libraries.
-Discover how enhanced features of BQNT enterprise leverage cloud compute and scheduling to deliver trade ideas in a timely manner.
Join us as we show how we've moved simple pair trading models from Excel to BQNT, and how we can now use BQNT enterprise to fully automate trade idea generation, with unlimited data sets and powerful machine learning libraries.
-How to build a BQNT application to test co-integration of stock pairs and ETFs, and see how the trade signals would have performed.
-Watch as we add larger data sets and features to the pair trading idea generation process, and improve performance using machine learning libraries.
-Discover how enhanced features of BQNT enterprise leverage cloud compute and scheduling to deliver trade ideas in a timely manner.
Speakers
Christian Contino
BQuant Solution Analyst
Bloomberg L.P.
Christian is the BQuant solution analyst for Australia and New Zealand. He has a wealth of experience in this area, having previously worked in a family office as a quant researcher and at the United Nations as a Fixed Income portfolio manager. He holds a PhD in Financial Statistics from the University of Sydney.