{"id":19421488,"url":"https://github.com/tradologics/algotradingsummit","last_synced_at":"2026-01-30T15:32:27.366Z","repository":{"id":119803841,"uuid":"388851544","full_name":"tradologics/AlgoTradingSummit","owner":"tradologics","description":"Videos, slides, and code made available by speakers of the 2021's AlgoTrading Summit","archived":false,"fork":false,"pushed_at":"2021-07-26T21:17:03.000Z","size":41938,"stargazers_count":126,"open_issues_count":0,"forks_count":13,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-06-02T22:49:43.673Z","etag":null,"topics":["algotrading","algotradingsummit","tradologics"],"latest_commit_sha":null,"homepage":"https://algotradingsummit.com","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tradologics.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-07-23T15:48:54.000Z","updated_at":"2025-05-21T21:21:33.000Z","dependencies_parsed_at":"2023-06-03T05:30:50.977Z","dependency_job_id":null,"html_url":"https://github.com/tradologics/AlgoTradingSummit","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tradologics/AlgoTradingSummit","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tradologics%2FAlgoTradingSummit","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tradologics%2FAlgoTradingSummit/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tradologics%2FAlgoTradingSummit/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tradologics%2FAlgoTradingSummit/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tradologics","download_url":"https://codeload.github.com/tradologics/AlgoTradingSummit/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tradologics%2FAlgoTradingSummit/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28914905,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-30T12:13:43.263Z","status":"ssl_error","status_checked_at":"2026-01-30T12:13:22.389Z","response_time":66,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["algotrading","algotradingsummit","tradologics"],"created_at":"2024-11-10T13:28:27.993Z","updated_at":"2026-01-30T15:32:27.350Z","avatar_url":"https://github.com/tradologics.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cimg src=\"https://user-images.githubusercontent.com/1185458/126810508-913dca95-fae6-4f7e-bdb3-e4820a5d4e20.png\" width=\"260\"\u003e\n\n\u003e [Tradologics](https://tradologics.com) is proud to have hosted the [AlgoTrading Summit](https://algotradingsummit.com/) \n💜\n\u003cbr\u003e\n\n# AlgoTrading Summit\n\nThis repository contains link to videos of the [2021 AlgoTrading Summit](https://algotradingsummit.com/) talks, along with slides and code made available by the speakers.\n\n📺 **[Watch all the videos](https://www.youtube.com/playlist?list=PLlmbulluktVRAg-h4vp-u4iEElCERgIAP)**  (YouTube playlist)\n\n\u003cbr\u003e\n\n---\n\n\u003cbr\u003e\n\n## 📚 Tradologics platform demo\n🔗 Check out the **[Tradologics platform demo](https://tradologics.com/ats)** and see just how easy it is to launch a trading strategy on the Tradologics cloud platform for traders.\n\n\n\u003cbr\u003e\n\n---\n\n\u003cbr\u003e\n\n## 📺 Talks:\n\n\u003e _**NOTE:** We've made available the slides and code that were given to us by the speakers. If there's no link to download the slides and/or code for a talk - it was not provided to us (yet) by the speaker._\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n### ⭐️ Algorithmic Short Selling\n\nIf investment is a process, then automation is the only logical conclusion. In this session Laurent will explain why short-selling is the key to raising AUM, and how to generate more Long/Short ideas than you will ever have capital to allocate.\n\n\u003e **Laurent Bernut**, 20+ Years Long/Short, Short-Seller expert, and Algorithmic Trader\n\n[Video](https://youtu.be/pTw_0YnvRdY) | \n[Twitter](https://twitter.com/lb_ASC) | \n[LinkedIn](https://www.linkedin.com/in/laurent-bernut-97056812/)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Integrating Alternative Data Into Your Strategies\n\nIn this presentation, based on The Book of Alternative Data, we will introduce the topic of alternative data and how it can be used by investors. We show specific use cases where it can be used by traders in markets including FX.\n\n\u003e **Saeed Amen**, Founder at Cuemacro, Author, Visiting Lecturer at QMUL\n\n[Video](https://youtu.be/XD7OfnUaTEs) | \n[Twitter](https://twitter.com/saeedamenfx) | \n[LinkedIn](https://www.linkedin.com/in/saeedamen/) | \n[Website](https://www.cuemacro.com/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Feature Selection is the New Factor Modeling\n\nTraditional factor model is based on linear regression, with all its attendant shortcomings. The machine learning technique of feature selection can take into account nonlinearity, collinearity, and interdependence of such factors in returns prediction or attribution.\n\n\u003e **Ernest Chan**, CEO at PredictNow.ai, Managing Member of QTS Capital Management\n\n[Video](https://youtu.be/i2zNCyKbEkw) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Twitter](https://twitter.com/chanep) | \n[LinkedIn](https://www.linkedin.com/in/epchan/) | \n[Website](https://www.predictnow.ai/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ A look inside the world of HFT: What lies beneath the surface?\n\nThe session will cover the various important aspects of building \u0026 running a HFT setup, and the potential sources of alpha for such strategies.\n\n\u003e **Nitesh Khandelwal**, CEO \u0026 Co-Founder at QuantInsti, Partner \u0026 Co-founder at iRage\n\n[Video](https://youtu.be/HeLTQ912Apk) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Twitter](https://twitter.com/niteshkh) | \n[LinkedIn](https://www.linkedin.com/in/niteshkh/) | \n[Website](https://www.quantinsti.com/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ From idea to a trading robot. Quickly\n\nIn this talk, we'll be building a simple machine learning model to trade the \"buy low sell high\" daily strategy, and use tools like Jupyter Lab to backtest our strategy using Python.\n\n\u003e **Dr. Hui Liu**, Creator of IBridgePy \u0026 CEO of Running River Investment LLC. BS, MS, Phd and MBA\n\n[Video](https://youtu.be/HnQyvWXjBmo) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Code](https://github.com/tradologics/AlgoTradingSummit/tree/master/code) | \n[LinkedIn](https://www.linkedin.com/in/hui-liu-18356a14/) | \n[Website](https://ibridgepy.com/)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Why Dirty Data is Your Best Friend\n\nOverview of the importance of working with real data... and real data is not clean\n\n\u003e **Chris Bartlett**, CEO @ AlgoSeek\n\n[Video](https://youtu.be/LiNjD7i_z1g) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Twitter](https://twitter.com/AlgoseekData) | \n[LinkedIn](https://www.linkedin.com/in/chrisnbartlett/) | \n[Website](https://www.algoseek.com/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Smart-Beta Portfolios - a Machine Learning Approach\n\nIn this session we'll talk about how to build better-factor, smart-beta portfolios using Hierarchical Risk Parity Algorithm. We'll also take a look at how fundamental data is used to filter-out the stock universe to replicate specific factors, and how to mix various factors inside of one portfolio using ML allocation techniques.\n\n\u003e **Alexandr Proskurin**, CIO at Principia Invest, Head of Consulting at Hudson and Thames\n\n[Video](https://youtu.be/TR4WtaOXOOo) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Twitter](https://twitter.com/proskurinalex) | \n[LinkedIn](https://www.linkedin.com/in/proskurinolexandr/) | \n[Website](https://hudsonthames.org/)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ A Scientific Approach to Market Prediction\n\nDiscussion of the elements of price action, including direction, volatility/range, and trend, as well as go over the metrics/ways to measure and categorize these factors - and their practical implications on trading strategies\n\n\u003e **Brian Blandin**, Co-Founder at Markets Science, Writer @ Quantfiction\n\n[Video](https://youtu.be/uttGcfgFSyA) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Code](https://github.com/tradologics/AlgoTradingSummit/tree/master/code) | \n[Twitter](https://twitter.com/quantfiction) | \n[LinkedIn](https://www.linkedin.com/in/brian-blandin/) | \n[Website](https://quantfiction.com/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Down, Down, Deeper and Down\n\nIs the drawdown a useful statistic for risk scaling?\n\n\u003e **Robert Carver**, Independent futures trader and Best-selling author\n\n[Video](https://youtu.be/XD7OfnUaTEs) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Code](https://github.com/tradologics/AlgoTradingSummit/tree/master/code) | \n[Twitter](https://twitter.com/investingidiocy) | \n[LinkedIn](https://www.linkedin.com/in/robert-stuart-carver/) | \n[Website](https://www.systematicmoney.org/?ref=algotradingsummit)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Hedge Fund Misadventures (\u0026 How We Eventually Raised Funding)\n\nChristina started Domeyard, a hedge fund focused on HFT, almost 10 years ago. In this rapid-fire talk, Christina will open up about her biggest mistakes and lessons learned from fundraising, to hiring, to building strategies, to launching the fund.\n\n\u003e **Christina Qi**, CEO of Databento, Founding Partner of Domeyard LP, Forbes 30 Under 30\n\n[Video](https://youtu.be/x_s1u3EoBsQ) | \n[Twitter](https://twitter.com/christinaqi) | \n[LinkedIn](https://www.linkedin.com/in/christinaqi/) | \n[Website](https://www.databento.com/)\n\n\n\u003cbr\u003e\\*\\*\\*\\*\\*\\*\\*\\*\\*\\*\n\n\n### ⭐️ Applying Machine Learning to Pairs Trading\n\nIn this presentation, based on The Book of Alternative Data, we will introduce the topic of alternative data and how it can be used by investors. We show specific use cases where it can be used by traders in markets including FX.\n\n\u003e **Illya Barziy**, Quantitatve Research Lead @ Hudson \u0026 Thames\n\n[Video](https://youtu.be/7RIs8MvZt8I) | \n[Slides](https://github.com/tradologics/AlgoTradingSummit/tree/master/slides) | \n[Twitter](https://twitter.com/IllyaBarziy) | \n[LinkedIn](https://www.linkedin.com/in/illyabarziy/) | \n[Website](https://hudsonthames.org/)\n\n\n\u003cbr\u003e\n\n---\n\n\u003cbr\u003e\n\n## 📚 Books:\nGet the [books written by the speakers](https://www.amazon.com/hz/wishlist/ls/1IJ81BAGM9JUU) on Amazon (not an affiliate link).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftradologics%2Falgotradingsummit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftradologics%2Falgotradingsummit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftradologics%2Falgotradingsummit/lists"}