Eric Horesnyi on High Frequency Trading and how Hedge Funds are Applying Deep Learning to Markets
The InfoQ Podcast24 Maalis 2017

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

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

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(396)

AI, ML, and Data Engineering InfoQ Trends Report 2026

AI, ML, and Data Engineering InfoQ Trends Report 2026

In this episode of the podcast, members of the InfoQ AI and MIL editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular featur...

30 Loka 1h 11min

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

The Future of Web Apps: Will AI Agents Generate UIs on the Fly?

Rachel Lee Nabors, former React core team member, dives into the architecture and philosophy behind local-first applications, exploring how small language models (SLMs) running directly on-device can ...

19 Loka 47min

What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz

What Does It Really Mean To Program With AI: A Conversation with Joy Ebertz

In this podcast, Michael Stiefel spoke to Joy Ebertz about how the use of artificial intelligence is changing the way architects and developers do their jobs. Focusing on the long term success of the ...

12 Loka 44min

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography

Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography

In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion exp...

5 Loka 34min

The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle

The AI Revolution Fails Without Psychological Safety For Developers: A Conversation with Erin Doyle

In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architect...

28 Syys 54min

The Future of AI: From Enterprise Adoption to Open Source Sovereignty

The Future of AI: From Enterprise Adoption to Open Source Sovereignty

In this episode, a panel of AI experts, Meryem Arik (DoubleWord), Clara Higuera Cabañes (BBVA), and Jeff Smith (C Proof), demystify the current state of AI in the enterprise. The discussion navigates ...

25 Syys 52min

Securing AI Agents: Identity, Authorisation, and the DPACT Framework

Securing AI Agents: Identity, Authorisation, and the DPACT Framework

In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditabil...

21 Syys 41min

How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

How Will We Train Developers If AI Does the Routine Work: A Conversation with Scott Hanselman

In this podcast Michael Stiefel spoke to Scott Hanselman about developing new software engineers when artificial intelligence agents are doing most of the work on which junior developers were trained....

14 Syys 36min