The Blushing Quants Podcast

By theblushingquants

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Subscribers: 1
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Episodes: 38

Description

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.


Episode Date
Antonio Berenguer: How Options Market Makers Price Volatility and Manage Risk | Blushing Quants #38
Aug 24, 2026
Gilad Bar-Ilan: Turning Crowd Sentiment into Trading Signals with AI | Blushing Quants #37
Aug 24, 2026
Paul MacGregor: Building Electronic Markets and Commodity Exchanges | Blushing Quants #36
Aug 24, 2026
Roger McIntosh: Institutional Portfolios, Factor Models and Alpha Decay | Blushing Quants #35
Aug 24, 2026
Nam Nguyen: Sell-Side vs Buy-Side Quants, Monte Carlo and AI | Blushing Quants #34
Aug 24, 2026
Antonio Marrazzo: How to Build Robust Factors with Data and Machine Learning | Blushing Quants #33
Jul 22, 2026
Vincent Randazzo: Market Breadth, Risk and Systematic Portfolio Management | Blushing Quants #32
Jul 14, 2026
Jerome Busca: Inside Citadel, Alpha Decay and the Future of Quant | Blushing Quants #31
Jul 14, 2026
Paul Chalmers: Trading Education Done Right - AI, Risk & Real Market Education | Blushing Quants #30
Jun 08, 2026
Jonathan Davies: The Theory That Challenges Every Trader and Investor | Blushing Quants #29
Jun 01, 2026
Eren Biri: How Volatility Traders Think and What Defines AI-Native Hedge Fund | Blushing Quants #28
May 25, 2026
Nikolai Nowaczyk: Credit Risk and Quant Infrastructure | Blushing Quants #27
May 18, 2026
Ufuk Tasdan: Physics, Crypto, and Energy Market Complexity | Blushing Quants #26
May 14, 2026
Oded Shimoni: Low-Correlation Strategies, Research, and ETF Innovation | Blushing Quants #25
May 07, 2026
Ben Charoenwong: Academia, Hedge Funds, AI, and Applied Finance | Blushing Quants #24
May 04, 2026
Garret Brennan: Deterministic AI for Institutional Quant Workflows | Blushing Quants #23
Apr 27, 2026
Roman Isachenko: Alpha Decay, Derivatives, and the Reality of Quant | Blushing Quants #22
Apr 14, 2026
Zach Marx: Where Retail Sentiment Meets Systematic Equities | Blushing Quants #21
Apr 09, 2026
Mark Aron Szulyovszky: Crypto, Alpha Factors, and Market Neutrality | Blushing Quants #20
Apr 06, 2026
Manuel Ritsch: AI, Asset Management, and the Business of Funds | Blushing Quants #19
Apr 02, 2026
Francisco Prack: Tape Reading, RL, and Sequential Decision-Making | Blushing Quants #18
Mar 30, 2026
Denis Lukyanov: Quant Research, GenAI Agents, and Trading Systems | Blushing Quants #17
Mar 27, 2026
Toby Morris: Trading Desk Operations, Market Execution, and Sales Trading | Blushing Quants #16
Mar 23, 2026
Mattia Spreafico: AI Is Rewriting Quant Workflows | Blushing Quants #15
Mar 23, 2026
Robert Tratt: 25 Years in Markets - From Prop Trader to Sharpe 4 Systems | Blushing Quants #14
Mar 19, 2026
Haris Chalvatzis: From Fast Quant Research to Alpha, Execution, and Portfolio | Blushing Quants #13
Mar 16, 2026
Israel Bergenstein: Systematic Strategy Design to Deployable Trading Models | Blushing Quants #12
Mar 12, 2026
Carl Wells: The Quant System That Spots “Quality” Before Markets Do | Blushing Quants #11
Mar 09, 2026
Paul Bilokon: Backtesting, RL, and Robust Quant Research | Blushing Quants #10
Mar 02, 2026
Raffaele Ghigliazza: Backtesting, LLMs, and Explainable Deployment | Blushing Quants #9
Feb 25, 2026
Orlando Gemes: Market Efficiency, Dirty Data, and Pricing Beyond Black Scholes | Blushing Quants #8
Feb 22, 2026
Matthias Bouquet: Systematic Macro and Volatility Trading Explained | Blushing Quants #7
Feb 18, 2026
Meir Barak: The Truth About Learning the Financial Markets | Blushing Quants #6 [HEBREW]
Feb 15, 2026
Marco Santanché: Quantitative Research in Practice - From KPIs to Live Trading | Blushing Quants #5
Jan 26, 2026
Jared Broad: QuantConnect CEO and the Open-Source Quant Trading Stack | Blushing Quants #4
Jan 23, 2026
Oren Tapiero: How Machine Learning Works in Live Trading | Blushing Quants #3
Jan 20, 2026
Oz Pirvandy: The "S&P 500 Algorithm" Most Traders Don’t Understand | Blushing Quants #2
Jan 07, 2026
Ryan Ling: Inside the Market Maker Playbook | Blushing Quants #1
Dec 29, 2025