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About the channel
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.
Latest videos
Antonio Berenguer: How Options Market Makers Price Volatility and Manage Risk | Blushing Quants #38
134 views · 08/24/2026
Gilad Bar-Ilan: Turning Crowd Sentiment into Trading Signals with AI | Blushing Quants #37
15 views · 08/24/2026
Paul MacGregor: Building Electronic Markets and Commodity Exchanges | Blushing Quants #36
24 views · 08/24/2026
Roger McIntosh: Institutional Portfolios, Factor Models and Alpha Decay | Blushing Quants #35
48 views · 08/24/2026
Nam Nguyen: Sell Side vs Buy Side Quants, Monte Carlo and AI | Blushing Quants #34
54 views · 07/26/2026
Antonio Marrazzo: How to Build Robust Factors with Data and Machine Learning | Blushing Quants #33
98 views · 07/22/2026
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