Episode 030: How to think like an Algo-millionaire

Apr 29, 2019

If I asked you today:

Can you see yourself flying on a private jet in 12 to 24 months?

What would you reply?

Could you see yourself in that position in a year from now?

From my personal experience, a lot of traders will say ‘No WAY’. They’ll completely shut down the idea and intention of visualizing their near-term future.

But as a matter of fact, visualizing your 1 to 2-year goals is what may actually help you get there faster.

And I’m living proof of it.

But it’s not just me. Top performers and athletes all around the world are using these techniques to succeed.

So, if you want to become an Algo-millionaire, you have to start thinking and visualizing like you are one already.

And how do you do it exactly?

That’s the topic of today’s podcast, where we discuss the techniques that could help you experience tremendous progress in your trading, even in a very reasonable amount of time. Here’s what you’ll discover:

  • Why it’s so hard for traders to visualize their near-term results,
  • How our subconscious mind prevents us from moving in the right direction,
  • How emotional visualization pushes traders to a whole new level of achievement,
  • How to successfully practice emotional visualization,
  • And much more!

So go listen to it now.

Andrew and Tomas

“The right direction can only be put into the subconscious mind through visualization.” - Tomas Nesnidal Click To Tweet “When you combine visualization with a feeling, you’re hacking your subconscious mind and opening it for new programs to come in.” - Tomas Nesnidal Click To Tweet “If you keep practicing emotional visualization, you’ll experience new prolific moments. You’ll be more efficient.” - Tomas Nesnidal Click To Tweet

Do you have any trading questions you’d like answered? Submit them here, and we may cover them in a future episode!

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DISCLAIMER: Trading involves significant risk of loss and is not suitable for everyone. People can and do lose money. Hypothetical results have many inherent limitations. Past performance is not necessarily indicative of future results.

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