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Predicting Price using Lorentzian Classification with Justin Dehorty - Trading Bot Sessions (EP 010)

This is episode 10 of Trading Bot Sessions where we talk with traders who have built automated trading strategies and trade everything from stocks and options to futures and crypto. In this session, I speak with Justin Dehorty, a software engineer with a background in computational chemistry and biophysics. Most recently, Justin wrote an open source machine learning indicator that was chosen as an editor's pick on TradingView. The indicator seamlessly merges key concepts from Lorentzian space, a component of general relativity, with a nearest neighbors algorithm to predict future prices in markets. We cover Justin's work in Pine Script, as well as the application of machine learning in technical analysis, how kernel regressions are an overlooked and powerful alternative to moving averages, and the limitations and future of Pine Script. JUSTIN'S LINKS: Patreon: https://www.patreon.com/user/about?u=... Discord:   / discord   Twitter:   / justindehorty   LinkedIn:   / justin-dehorty   TradingView: https://www.tradingview.com/u/jdehorty/ THE LORENTZIAN CLASSIFICATION INDICATOR:    • Lorentzian Classification: Machine Le...   https://www.tradingview.com/script/Wh... KERNEL LIBRARY: https://www.tradingview.com/script/e0... https://www.tradingview.com/script/AW... _________ ✅ Automate Your Strategy and Indicator Signals from TradingView and TrendSpider and try TradersPost free for 30 days. https://traderspost.io/pricing _________ 💬 Join our Discord Channel for updates on automated trading on TradingView and TrendSpider. Or find us on social. https://traderspost.io/community 00:00:54 Intro 00:01:25 Justin's Background in Biophysics and Computational Chemistry 00:05:08 A Brief Intro to Lorentzian Distance 00:07:59 Connecting with His Mom - A CPA and Investor 00:09:31 Using Machine Learning and LLMs for Other Investment Ideas 00:14:09 Intro to the Machine Learning Lorentzian Classification Indicator 00:24:37 Interpreting the Win Rate and Other Metrics 00:25:46 Using the Backtest Adapter for More Comprehensive Testing 00:26:35 Experimenting with Other Indicators 00:30:18 Releasing the Next Version v1.5 and an Open Source Philosophy 00:30:56 How Machine Learning can Impact Technical Analysis 00:32:25 Using Kernel Regression over Moving Averages 00:38:31 Limitations of Pine Script and Exploiting the Built-in For Loop 00:41:40 The Future of Pine Script 00:45:35 Testing the Lorentzian Classification Strategy 00:48:49 Using Lorentzian Classification as a Trend-Following Strategy 00:55:09 What's Next for Justin 00:56:52 Getting in Touch with Justin DISCLAIMER: Trading in the financial markets involves a risk of loss. Content and strategies produced by TradersPost are for informational or educational purposes only and do not constitute trading or investment recommendations or advice.