Tech

infoq

Eric Horesnyi, CEO @streamdata.io, talks to Charles Humble about how hedge funds are applying deep learning as an alternative to the raw speed favoured by HFT to try and curve the market.

Why listen to this podcast:

 - Streamdata.io was originally built for banks and brokers, but more recently hedge funds have begun using the service.
 - Whilst Hedge Funds like Renaissance Technologies have been using mathematical approaches for some time deep learning is now being applied to markets. Common techniques such as gradient descent and back propagation apply equally well to market analysis.
- The data sources used are very broad.  As well as market data the network might be using, sentiment analysis from social networks, social trading data, as well as more unusual data such as retail data, and IoT sensors from farms and factories.
 - By way of contrast High Frequency Trading  focusses on latency. From an infrastructure stand-point  you can play with propagation time, Serilization (the thickness of the pipe), and Processing time for any active component in chain.
 - One current battleground in HFT is around using FPGA to build circuits dedicated to feed handlers.  Companies such as Novasparks are specialists in this area.

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2nv71M8

Subscribe: www.youtube.com/infoq
Like InfoQ on Facebook: bit.ly/2jmlyG8
Follow on Twitter: twitter.com/InfoQ
Follow on LinkedIn: www.linkedin.com/company/infoq

Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2nv71M8

You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq

InfoQ Podcast

Show Notes

Eric Horesnyi on High Frequency Trading and how Hedge Funds are Applying Deep Learning to Markets

Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.