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

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Subscribe for free.</p> </div> </a> </div> </div>  </div> </div> </div> </header>  <main> <article data-type="podcast" class="article"> <section class="container section white"> <div class="container__inner"> <p class="crumbs"> <span data-nosnippet><a href="/" title="InfoQ Homepage">InfoQ Homepage</a></span> <span data-nosnippet><a href="/podcasts" title="Podcasts">Podcasts</a></span> <span data-nosnippet class="active">Eric Horesnyi on High Frequency Trading and How Hedge Funds are Applying Deep Learning to Markets</span> </p> <div class="actions"> <div class="actions__left"> <div class="article__category architecture-design"> <a href="/architecture-design/" class="article__tag box--info" title="Architecture & Design"> Architecture & Design </a> </div> </div> <div class="actions__right"> <div data-nosnippet class="notice"> <div class="box--warning"> <a target="_blank" rel="nofollow" href="https://devsummit.infoq.com/conference/boston2025?utm_source=infoq&utm_medium=referral&utm_campaign=infoqyellowbox_idsboston25 ">InfoQ Dev Summit Boston (June 9-10, 2025): Solve your dev challenges with insights you can trust. </a> </div> </div> </div> </div> <div class="actions heading__container article__heading"> <div class="actions__left"> <h1 class="heading"> Eric Horesnyi on High Frequency Trading and How Hedge Funds are Applying Deep Learning to Markets </h1> </div> </div> <script type="text/javascript"> $("#translated_"+InfoQConstants.userDetectedCountryCode.toLowerCase()).show(); </script> <div class="columns article__explore"> <div class="article__main" data-col="4/6"> <div class="article__metadata metadata"> <div class="actions__left article__actions actions__sidebar"> <button id="toggleLikeContent" class="icon button button__icon like button__gray icon__like" aria-label="Like">Like</button> <button id="bookmarkBtn" data-ref="bookmarkPage" aria-label="Read later" class="login button__gray button button__icon icon icon__bookmark icon--only"> </button> <a id="showBookmarks" href="/showbookmarks.action" class="button button__gray button__icon icon icon__bookmark">Bookmarks</a> <div id="toastContainer" class="toast-none toast-hide"> <div class="toast"><span></span></div> </div> <script type="text/javascript"> if(loggedIn){ $('#showBookmarks').show(); } function performBookmark() { Bookmarks.toggleBookmark('podcasts', 'eric-horesnyi-ai-hft'); } infoq.event.on('bookmarkRequested', function(e) { Bookmarks.toggleBookmark('podcasts', 'eric-horesnyi-ai-hft'); }); infoq.event.on("loaded", function(){ if(loggedIn){ var href = window.location.href; if(href.indexOf("#bookmarkPage") != -1){ $('#bookmarkBtn').click(); } } }); $(document).ready(function() { if(Bookmarks.isContentBookmarked == 'true'){ $('#bookmarkBtn').addClass('button__green'); $('#bookmarkBtn').removeClass('button__gray'); }else{ $('#bookmarkBtn').removeClass('button__green'); $('#bookmarkBtn').addClass('button__gray'); } }); </script> </div> <p class="article__readTime date"> Mar 27, 2017 </p> <div class="widget article__authors"> <div> <p class="meta">Podcast with</p> <ul class="no-style authors"> <li data-id="author-Eric-Horesnyi"> <p class="meta author__bio"> <a href="/profile/Eric-Horesnyi/" class="avatar author__avatar" aria-label="Eric Horesnyi"></a> <span class="author__name"> <a href="/profile/Eric-Horesnyi/" class="author__link">Eric Horesnyi</a> </span> </p> </li> </ul> </div> <div> <p class="meta">by</p> <ul class="no-style authors"> <li data-id="author-Charles-Humble"> <p class="meta author__bio"> <a href="/profile/Charles-Humble/" class="avatar author__avatar" aria-label="Charles Humble"></a> <span class="author__name"> <a href="/profile/Charles-Humble/" class="author__link">Charles Humble</a> </span> </p> </li> </ul> </div> </div> <div class="widgets"></div> </div> <div class="article__content">   <div class="intro article__data"> <div class="intro__text"> <p>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.    </p> </div> <div class="separator separator__three-dots center"></div> </div> <div class="article__data"> <div class="takeaways"> <h3 class="icon icon__takeaways heading">Key Takeaways</h3> <ul> <li>Streamdata.io was originally built for banks and brokers, but more recently hedge funds have begun using the service.</li> <li>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.</li> <li>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.</li> <li>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.</li> <li>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.</li> </ul> <div class="separator separator__three-dots center"></div> </div> </div> <div class="podcast__subscribe__list"> <h3>Subscribe on:</h3> <button aria-label="Apple podcasts" class="button button__unstyled button__medium" onclick="window.location.href='https://itunes.apple.com/gb/podcast/the-infoq-podcast/id1106971805?mt=2'">Apple Podcasts</button> <button aria-label="Youtube Podcasts" class="button button__unstyled button__medium" onclick="window.location.href='https://youtube.com/playlist?list=PLndbWGuLoHeZLVC9vl0LzLvMWHzpzIpir&si=Kvb9UpSdGzObuWgg'">YouTube</button> <button aria-label="Soundcloud" class="button button__unstyled button__medium" onclick="window.location.href='https://soundcloud.com/infoq-channel'">Soundcloud</button> <button aria-label="Spotify" class="button button__unstyled button__medium" onclick="window.location.href='https://open.spotify.com/show/4NhWaYYpPWgWRDAOqeRQbj'">Spotify</button> <button aria-label="Overcast" class="button button__unstyled button__medium" onclick="window.location.href='https://overcast.fm/itunes1106971805/the-infoq-podcast'">Overcast</button> <button aria-label="Podcast Feed" class="button button__unstyled button__medium" onclick="window.open('http://feeds.soundcloud.com/users/soundcloud:users:215740450/sounds.rss','_blank')">Podcast Feed</button> </div> <script type="text/javascript" src="https://w.soundcloud.com/player/api.js"></script> <iframe title="Eric Horesnyi on High Frequency Trading and How Hedge Funds are Applying Deep Learning to Markets" frameborder="no" height="166" id="player" scrolling="no" src="https://w.soundcloud.com/player/?url=https%3A//api.soundcloud.com/tracks/314328868&color=1d8042&auto_play=false&hide_related=false&show_comments=true&show_user=true&show_reposts=false" width="100%"></iframe> <script type="text/javascript"> var player = SC.Widget('player'); var milliseconds = -1; player.bind(SC.Widget.Events.PLAY, function() { if (milliseconds >= 0) { player.seekTo(milliseconds); } }); seekTo = function(minutes, seconds) { milliseconds = ((minutes * 60) + seconds) * 1000; player.isPaused(function isPaused(p) { if (p == true) { player.play(); } else { player.seekTo(milliseconds); } }); } </script> <script type="text/javascript"> var uriMapping = "podcasts"; var showVcr = "false"; var fillWithVcr = "true"; var sponsorshipsJson = "{"links":[{"styleName":"pdf","style":"PDF","text":"How to end the confusion in cloud transformations: Insights from McKinsey & Company","id":"6c54648f-f238-4bdc-91de-e21d960e03c8","target":"https://www.infoq.com/vendorcontent/show.action?vcr=fd6a6585-2ab0-4abe-827e-aef70463a48d&utm_source=infoq&utm_medium=RSC&utm_campaign=vcr_fixed_link","active":true}]}"; var sponsoredLinks = $.parseJSON($("<div/>").html(sponsorshipsJson).text()).links; var numberOfSponsoredVcrIds = sponsoredLinks != null ? 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If you have a one hour time horizon, you can employ all the techniques of deep learning— gradient descent, back propagation and techniques that come with the discipline like learning, testing, validating</li> <li><a href="javascript:void(0);" onclick="seekTo(7,26);">7m:26s</a> It takes time to consume data, and the more data you consume, the better your prediction</li> <li><a href="javascript:void(0);" onclick="seekTo(7,35);">7m:35s</a> If you want to have an impact on the market every minute or second these models are more difficult to apply.</li> </ul> <p><strong>Overfitting</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(8,21);">8m:21s</a> There are limitations to using data sets to make your decision - if you make a decision using data and the market changes mood, then you’re going to make wrong decisions.</li> <li><a href="javascript:void(0);" onclick="seekTo(8,38);">8m:38s</a> If you think about your machine learning as a brain that can learn and adapt to conditions in the marketplace effectively, failure can occur if the brain is trained incorrectly.</li> <li><a href="javascript:void(0);" onclick="seekTo(10,18);">10m:18s</a> The classic AI issue with overfitting—if you’ve trained the brain to something that was specific to a time and environment and the brain got fit to that environment so much, that it cannot perform different when things change.</li> </ul> <p><strong>Avoiding Overfitting</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(10,45);">10m:45s</a> To avoid overfitting introduce some noise in the test data sets that you put into your machine learning</li> <li><a href="javascript:void(0);" onclick="seekTo(11,00);">11m:00</a> However when you introduce noise, you could end up having a brain that may not be fit for any market.</li> </ul> <p><strong>Different Ways To Train Models </strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(11,52);">11m:52s</a> Have the model trained on the subset of data, with a time horizon and window that evolves based on the time you’re targeting.</li> <li><a href="javascript:void(0);" onclick="seekTo(12,12);">12m:12s</a> The model will be able to adapt to the market and make decisions quickly; this is using data streaming algorithms</li> <li><a href="javascript:void(0);" onclick="seekTo(12,37);">12m:37s</a> If in machine learning your investment strategy is long term or okay with making a decision once per day, then that’s not an issue you have.</li> <li><a href="javascript:void(0);" onclick="seekTo(12,54);">12m:54s</a> The issue comes about when you start getting into strategies where you are pretty close to the market and you want to leverage momentum.</li> </ul> <p><strong>The Buyer-side Industry</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(13,16);">13m:16s</a> The buy-side industry is the group of companies that everybody knows like Vanguard, Fidelity, CapGroup, BlackRock - they take money from people and invest it in the long term investments (for retirement for example)</li> <li><a href="javascript:void(0);" onclick="seekTo(14,08);">14m:08s</a> The human trader is an exception in the market now - it’s all algorithms these days</li> </ul> <p><strong>The Rise of Electronic Exchanges</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(14,31);">14m:31s</a> In the US between 1998 - 2005 we had an explosion of regulation to open the market and allow opportunity for new players to make the market to become more efficient electronically</li> </ul> <p><strong>Reducing Latency from an Infrastructure Perspective </strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(15,44);">15m:44s</a> There are multiple elements to work with to reduce latency</li> <li><a href="javascript:void(0);" onclick="seekTo(15,50);">15m:50s</a> The propagation time depends on the distance and density of the medium you use</li> <li><a href="javascript:void(0);" onclick="seekTo(16,09);">16m:09s</a> Serialization: the time it takes a data packet to be put on the medium and to play with this is a matter of using big pipes</li> <li><a href="javascript:void(0);" onclick="seekTo(16,33);">16m:33s</a> Processing time: anytime you have equipment that is active - it will take latency.</li> </ul> <p><strong>Propagation </strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(17,17);">17m:17s</a> We saw in the year 2000 that companies would start getting as close as possible to exchanges. Then they asked for dark fibres- a way to connect directly from one point to another over the shortest distance. Now largely superseded by using radio waves.</li> </ul> <p><strong>Serialization</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(19,08);">19m:08s</a> The size of the pipe you use between one point and another. The typical media was a 10MB then is went to 100MB if you go from 100MB to 10GB you can reduce your latency by a few milliseconds as well.</li> </ul> <p><strong>Processing </strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(19,57);">19m:57s</a> It’s very well understood by all developers. It’s two things: equipment avoidance and building dedicated, specialist equipment for feed handling using FPGA.</li> <li><a href="javascript:void(0);" onclick="seekTo(20,33);">20m:33s</a> You can accelerate that processing time by building dedicated circuits for your feed</li> </ul> <p><strong>GPU’s</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(21,26);">21m:26s</a> Everyone working on AI is using GPU whether they know it or not</li> <li><a href="javascript:void(0);" onclick="seekTo(21,46);">21m:46s</a> Just using GPU is so powerful to perform calculus computation on various metrics—which is what you need for gradient descent or back propagation</li> </ul> <p><strong>Cloud vs. Data Centers</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(22,35);">22m:35s</a> The industry is conservative for good reason—we’re talking about IP that generates a lot of money</li> <li><a href="javascript:void(0);" onclick="seekTo(22,54);">22m:54s</a> Even if it costs more, the return on your risk will be better. Some elements can probably be put in the cloud.</li> </ul> <p><strong><strong>What’s Next at Streamdata.io</strong></strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(23,25);">23m:25s</a> What’s exciting for us is servicing more AI companies on top of the application builder we’re using for presenting real-time data</li> <li><a href="javascript:void(0);" onclick="seekTo(23,56);">23m:56s</a> Exploring sectors other than finance using real-time data including transport and healthcare.</li> </ul> <p><strong>Data Sources Used</strong></p> <ul> <li><a href="javascript:void(0);" onclick="seekTo(24,31);">24m:31s</a> Streamdata are offering people the possibility to build these event-driven "brains". You want the brain to be fed with as much information as possible about the world around it.</li> <li><a href="javascript:void(0);" onclick="seekTo(25,25);">25m:25s</a> You need market data, and you also need to consume data about what people say about companies that you can find on social media networks</li> <li><a href="javascript:void(0);" onclick="seekTo(25,32);">25m:32s</a> You also have networks like StockTwits that specialise in social trading data with people that are experts in the area and talk about what they think about specific companies as specific times</li> <li><a href="javascript:void(0);" onclick="seekTo(25,51);">25m:51s</a> You can also consume API’s specialized in providing sentiment</li> <li><a href="javascript:void(0);" onclick="seekTo(26,21);">26m:21s</a> The brain can then make an educated decision as if it was on the floor of all exchanges and sitting by all the traders and analysts in the world</li> <li><a href="javascript:void(0);" onclick="seekTo(26,37);">26:37</a> You can see people consuming unusual data for forecasts</li> <li><a href="javascript:void(0);" onclick="seekTo(27,01);">27m:01s</a> If you’re trading on Meat Futures, it’s probably a good idea to listen to what’s going on in Argentina using IoT sensors to check the health of cows there</li> <li><a href="javascript:void(0);" onclick="seekTo(27,25);">27m:25s</a> These unusual sources of data are opening a wealth of possibility for the brain to know everything that’s happening at a given moment in the world to make the best possible decision on whether to buy or sell</li> <li><a href="javascript:void(0);" onclick="seekTo(28,35);">28m:35s</a> It used be about speed, today it’s about knowing more than others, every second</li> <li><a href="javascript:void(0);" onclick="seekTo(28,58);">28m:58s</a> It’s about how fast you can make sense of all the data, and what’s your ability to build a model to make sense out of data that could seem uncorrelated.</li> </ul> <h3><strong>Technology Mentioned</strong></h3> <ul> <li><a href="https://www.infoq.com/machinelearning/">Machine Learning</a></li> <li><a href="https://www.infoq.com/artificial_intelligence">Artificial Intelligence</a></li> <li><a href="https://www.infoq.com/natural-language-processing/">NLP</a></li> <li><a href="https://www.infoq.com/serialization/">Serialization</a></li> </ul> <h3><strong>Companies Mentioned</strong></h3> <ul> <li><a href="http://streamdata.io/">Streamdata.io</a></li> <li><a href="https://stocktwits.com">StockTwits</a></li> <li><a href="https://www.rentec.com">Renaissance Technologies </a></li> <li><a href="https://investor.vanguard.com/home/">Vanguard</a></li> <li><a href="https://www.fidelity.com/">Fidelity</a></li> <li><a href="https://www.thecapitalgroup.com/">Capital Group</a></li> <li><a href="https://www.blackrock.com/">BlackRock</a></li> <li><a href="http://www.ecncapitalcorp.com/">ECN</a></li> <li><a href="http://www.novasparks.com/">Novasparks</a></li> <li><a href="https://www.infoq.com/facebook">Facebook</a></li> <li><a href="https://www.infoq.com/google">Google</a></li> </ul> </div> <div class="clear"></div> <h2><strong>More about our podcasts</strong></h2> You can keep up-to-date with the podcasts via our <a href="http://www.infoq.com/podcasts/eric-horesnyi-ai-hft/" target="_blank">RSS Feed</a>, and they are available via <a href="https://soundcloud.com/infoq-channel" target="_blank">SoundCloud</a>, <a href="https://itunes.apple.com/gb/podcast/the-infoq-podcast/id1106971805?mt=2" target="_blank">Apple Podcasts</a>, <a href="https://open.spotify.com/show/4NhWaYYpPWgWRDAOqeRQbj" target="_blank">Spotify</a>, <a href="https://overcast.fm/itunes1106971805/the-infoq-podcast" target="_blank">Overcast</a> and <a href="https://youtube.com/playlist?list=PLndbWGuLoHeZLVC9vl0LzLvMWHzpzIpir&si=Kvb9UpSdGzObuWgg" target="_blank">YouTube</a>. 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Eric Horesnyi on High Frequency Trading and How Hedge Funds are Applying Deep Learning to Markets - InfoQ