The Institute of Trading and Portfolio Management (ITPM) provides industry-leading financial education. Listeners will have access to some of the best minds in the Investment Management industry talking through current and relevant ideas in the financial markets. Expect to expand your investment knowledge and improve your trading performance. more

Created by Professor Patrick Zoro The podcast aims to capture the latest trends in Data analytics, Asset Management, Blockchain, Risk Management.Patrick Zoro is also the program manager of the Master of Financial Engineering program at Lehigh Universityhttps://cbe.lehigh.edu/academics/graduate/master-analytical-finance more

Welcome to Papers With Backtest, where data means profit in the world of algorithmic trading. Each episode dives into backtests, real-life trading applications, and groundbreaking research that every aspiring quant should know. Tune in to stay ahead in the algo trading game. Our website: https://paperswithbacktest.com/ Hosted on Ausha. See ausha.co/privacy-policy for more information. more

The Algorithmic Advantage is a podcast about quantitative trading and investing. We're here to expand the toolkit of the quant-trading community and introduce investors to the many advantages of systematic trading. Our goal is to educate and inspire as we embark on a captivating journey into the vast knowledge and experience of leading portfolio managers and other experts in the field! www.algoadvantage.io more

Dive into the fast-paced world of cryptocurrency trading with the Insilico Terminal Podcast , the ultimate audio companion for traders of all levels. Hosted by the team behind Insilico Terminal - the high-performance, user-friendly platform. We bring you expert insights, market analysis, and behind-the-scenes stories straight from the crypto trenches. Each episode features in-depth discussions on trading-strategies, execution tips, emerging trends in crypto, and exclusive interviews with top traders, builders, and industry innovators. Tune in for actionable advice, real-time market breakdowns, and the latest updates on Terminal's advanced features. more

The Blushing Quants is a candid look at the intersection of quantitative finance and machine learning. We discuss the hard truths of building ML-based investment systems. What works, what fails, and why. We leave the LLMs to the chatbots and focus on the heavy hitters of quantitative finance: Neural Networks, Time Series Analysis, and Statistical Learning. *DISCLAIMER* The information shared on this podcast is for educational and informational purposes only and reflects the personal opinions of the hosts and guests at the time of recording. Nothing in this podcast constitutes financial, investment, legal, tax, or trading advice , and nothing should be interpreted as a recommendation to buy, sell, or hold any security, cryptocurrency, derivative, or financial product. Trading and investing involve substantial risk , including the possible loss of all or part of your capital. You are solely responsible for your own decisions, and you should consult a qualified professional before making financial decisions. By listening to this podcast, you agree that the hosts, guests, and producers are not liable for any losses or damages arising from the use of any information discussed. more

The Talking Tuesdays Podcast is all about quantitative topics but mainly focused around quantitative finance, data science, machine learning, career development, and technical topics. Join me for some insight from a risk management professional on how the industry works and how to break in! more

The Philosophical Quant is a weekly series focused on trading education, strategies, and the psychology of trading. The show combines Michael Nauss's technical analysis and quantitative trading expertise with Lia Holmgren's focus on trading psychology and mindset. It is tailored for active traders (stocks/options) who want to sharpen their skills, offering a mix of practical how-to's and critical discussions on discipline and personal development. more