For over two decades, the Pattern Day Trader (PDT) rule was the biggest barrier for retail traders in the US, requiring a strict $25,000 minimum balance just to execute four or more intraday trades in a rolling five-business-day window.

On June 4, 2026, that rule is officially eliminated.In this episode, we explore the SEC's approval of the amended FINRA Rule 4210 and what it means for your trading account.

We break down the shift from an outdated fixed dollar minimum to a modern, dynamic intraday margin framework.

What we cover in this episode:

• The End of the PDT Designation: We explain why the $25,000 minimum, the 4-in-5-days trade limit, and the special 4x day-trading buying power multiplier are all going away.
• Dynamic Margin Monitoring: Discover how brokers are shifting away from counting trades and will instead calculate your margin based on your actual, real-time risk exposure.
• What Isn't Changing: Learn why you still need a margin account to day trade, how standard Regulation T requirements still apply, and why you may still face margin calls.
• How to Prepare: Actionable steps you can take before the June 4 deadline, including why it is critical to ask your specific broker about their 18-month phase-in timeline (which can last until October 2027).

Whether you are a seasoned algorithmic trader or someone who has been locked out of the markets by the $25K wall, tune in to understand how these massive regulatory changes will level the playing field and impact your trading strategies!

Artificial intelligence is reshaping nearly every industry, and financial markets are no exception. But as AI adoption accelerates, it is increasingly being sold as a shortcut to trading success. Social media is full of screenshots claiming spectacular AI-generated trades, while new platforms promise automated strategies that can beat the market with little human effort.

The appeal is obvious: let the machine do the thinking while humans collect the profits.

That is unlikely to be how trading works.

In our latest episode of our podcast series, we talk to Gilles Laurentin who shares his journey into the world of Algo Trading with us. Gilles hails from France, has done Engineering, studied Maths, and has a 20+ year career in Sales and Algo Trading. You’ll be able to relate to Gilles’ story if you’re doing a full-time job, and wish to develop your very own trading algorithms that will trade for you automatically, side by side.

A candid conversation on high-frequency trading (HFT) in India with Deepak Kaushal (Senior Data Scientist at iRage Capital). It covers concepts like colocation and direct market access along with required infrastructure and popular trading strategies.

'EPATians' Share' is an initiative where EPATians from across domains have come forward to share their wealth of knowledge with EPATian community by way of series of short sessions of 25 - 40 minutes, in their area of expertise.

A Quant Trader with 10 years of trading experience, BNS Kumar is a Quant Trader at a reputed firm. Having a robust experience of Modelling, analysis, setting up trading desks and automation among many key factors, in this session, BNS takes you through the entire process of building an Algo Infrastructure. BNS Kumar is an EPAT Alumni.

'EPATians' Share' is an initiative where EPATians from across domains have come forward to share their wealth of knowledge with EPATian community by way of series of short sessions of 25 - 40 minutes, in their area of expertise.

Rohit Gupta (VP, Investment Bank, Singapore) in this session explains the secondaries market and covers everything from the introduction, sellers, case studies to buyers, factors and all that you would need to know to get started. Rohit is an EPAT Alumni.

'EPATians' Share' is an initiative where EPATians from across domains have come forward to share their wealth of knowledge with EPATian community by way of series of short sessions of 25 - 40 minutes, in their area of expertise.

In this podcast, Jigam Gandhi (Sr. Trader at a reputed trading firm), and an EPAT Alumni, shares his experiences and learnings from his trading. He treads on the individuality of a trader, the prerequisites, thought process and various scenarios among other things.

In this episode, Vivek Krishnamoorthy (Head of Content & Research,‎ QuantInsti) shares his story in the algorithmic trading domain.

In this episode, Nitesh Khandelwal (CEO and Co-Founder, QuantInsti) shares his story in the algorithmic trading domain.

We've just started off with our first podcast series 'Algo Trading Concepts'. In our very first episode, we discuss:

• Concept of neural network and reinforcement learning

• How a deep learning model functions

• Why deep learning is important

• Applications in the financial markets

• Future of trading for individual traders

• How to start learning from scratch

We hope you enjoy this podcast. Let us know if there are any topics you would like us to cover in our future podcasts.