Traders Mastermind

Sponsored by Pepperstone

AI has just taken a massive leap. You can now ask it pretty much any question about price action, drop in a free CSV from TradingView, and properly interrogate the data. But most traders are asking the wrong questions.

In this episode, Mark breaks down a simple 5-question framework for using AI to support discretionary trading… not replace it.

It's not about building quant algorithms. It's about testing the hunches you've carried around for years, layering another edge onto your setups, and trading with a bit more conviction because the data has your back.

Covers:

Why "what will happen?" is the wrong question
The 5 questions to ask before writing any prompt
How to export a CSV from TradingView in 10 seconds
Real prompt examples for FX, indices and metals
The mindset shift from prediction to historical probability

If you've ever said "gaps always fill" or "after a trend day we always retest" this is the episode that shows you how to actually test it. Quickly.

Sponsored by Pepperstone

Most traders just pick 1% because someone told them to. But where did that number come from? And does it actually make sense for your goals, your win rate, and your R:R?

In this episode I break down how to reverse engineer your risk per trade from your actual trading data.

We look at why trade frequency can be a trap, why small changes in R:R massively shift the maths, and why the textbook approach ignores the one thing that matters most... your goal. I also built a risk per trade calculator you can play with.

Risk Per Trade Calculator

Sponsored by Pepperstone

Charlie Munger used to do something interesting when he was stuck on a problem.

Instead of asking how do I succeed, he'd ask how do I guarantee failure… then simply not do that.

In this episode I take that idea and apply it to trading. How would you guarantee you never improved?

How would you make sure a small loss became a big one?

How would you design a routine that burned you out within a year?

The answers are uncomfortably familiar.

Sometimes the edge isn't something you add to your trading. It's what you stop doing.

Sponsored by Pepperstone

Most traders think they’re struggling because they don’t know enough.

In reality… it’s often the opposite.

In this episode, Mark breaks down The Curse of the Intellectual Trader. Why smart, successful people often find trading harder than expected, and how overthinking kills performance.

You’ll learn:

Why intelligence can work against you in the markets
How traders confuse complexity with edge
Why simple strategies feel wrong (but often work best)
A powerful example from Pit Bull: Lessons from Wall Street’s Champion Day Trader
How to strip your strategy back to something you can actually execute

If you’ve ever felt like you’re thinking too much, hesitating, or overcomplicating your trading… this one’s for you.

Sponsored by Pepperstone

Something happened to me the other day that I wasn't expecting. A woman trapped in a window, fourth floor, covered in blood, screaming for help.

I went in. And as I was debriefing afterwards... I realised every skill that kicked in came from trading. Signal vs noise. Risk management.

Clarity under pressure. Acting on incomplete information. Being firm first, then calm. This episode is that story, start to finish.

Then I walk back through it and pull out the trading parallels. It's a different one. But if you trade, you'll get it.