The Blushing Quants Podcast

The Blushing Quants Podcast

theblushingquants

5.0from 4 ratings

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42
Episodes
8
Transcribed
4
Ratings
Weekly
Cadence
2025
First episode

About The Blushing Quants Podcast

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.

Publisher
theblushingquants
Category
business · education · technology
Language
en
Explicit
No
First episode
29 Dec 2025
Latest episode
23 Sept 2026

Latest episodes

8 of 42 episodes have a transcript.

  1. 23 Sept 2026TRANSCRIPT

    Eyal Neuman: Market Impact, Optimal Execution and Quantum Computing | Blushing Quants #42

  2. 23 Sept 2026TRANSCRIPT

    Joseph Chen: Building AI-Powered Backtesting and Trading Systems | Blushing Quants #41

  3. 23 Sept 2026TRANSCRIPT

    Peter Kostovčík: Why Features Matter More Than Models in Quant Trading | Blushing Quants #40

Inside a recent episode

Eyal Neuman: Market Impact, Optimal Execution and Quantum Computing | Blushing Quants #42

Published 23 Sept 2026 · Transcript excerpt

[…] And one of, maybe the most famous one is called the square root law, which says that if I'm now, if I would like to execute a certain amount of stocks until the end of the day, then I will, let's say I'm buying. So then my purchase will push the price up. And on average, the peak of that push price or the peak of that price impact will be square root of the quantity that I'm going to execute. So if I'm executing 1,000, it will be a square root of that. This is the amount, I mean, of course, normalized with various factors such as market volume and so on, but it's proportional to the square root of your entire meta order. […]

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Who has been a guest on The Blushing Quants Podcast

Names identified in recent episode analyses. Showing up to five guests.

  • Eyal Neuman
  • Joseph Chen
  • Peter Kostovčík
  • Julien Riposo
  • Antonio Berenguer

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Spotify
5.0 / 5
4 ratings

Contact The Blushing Quants Podcast

Guest appearances
Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.

Questions about The Blushing Quants Podcast

How often do new episodes come out?

The show publishes weekly, based on its RSS feed.

Does The Blushing Quants Podcast take guests?

Yes. Guests have been identified in episode analyses.

Where can I read transcripts?

8 of 42 episodes have a transcript on Pod Engine. Full transcripts are available with a Pod Engine plan.

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