The 2-to-1 Rule That Makes You Profitable
Stansberry Investor Hour
Stansberry Research
4.3 • 680 Ratings
🗓️ 3 March 2026
⏱️ 48 minutes
🧾️ Download transcript
Summary
In this week's Stansberry Investor Hour, Dan welcomes Steve Burns to the show. Steve is the founder of New Trader U, a blog with thousands of articles plus online courses.
Steve kicks things off by explaining how trading is math, detailing how its different components are formulaic. He says that understanding the "math" of expectancy for your returns can help you with managing your discipline, and knowing the risk-to-reward ratio for any trade is the first important step that every investor needs to take before they enter a trade. Steve notes that despite what many folks might believe, being right 50% of the time is pretty good. But even performing that well requires understanding the risks that your trades have. (0:00)
Next, Steve reflects on his early trading days, comparing his methodology and results then with his current strategies. Then he details one metric that determines profitability. It's the most important thing you need to be mindful of that will impact the profits your trades bring in, regardless of factors like win rates. And Steve analyzes the cons with modern trading that ease of entry has provided. Most individual investors don't realize these risks exist and stand poised to lose big. (14:37)
Finally, Steve discusses how to create an edge in trading as an individual investor despite the overwhelming odds. He then explains "positive expectancy," a mathematical formula that shows your average losses versus your average wins. Knowing this can help you more properly filter out volatility, which traders should keep in mind when establishing their position sizes and stop losses. And Steve shares the green lights he looks for when entering a trade. (30:53)
Transcript
Click on a timestamp to play from that location
| 0:00.0 | Math is fun. Math is awesome and you need math to trade. Trading is math. Those are our lessons today and it's going to be a lot of fun learning about them. |
| 0:11.1 | The man who can teach us all those things is here. His name is Steve Burns. Let's talk with him. Let's do it right now. |
| 0:26.6 | Steve, it's great to have you here. |
| 0:34.6 | And I have to know, I have to know, like most people think math is not sexy. |
| 0:38.7 | But when I read your stuff and listen to you, I think, okay, he's got my attention. And your thing is like, trading is like math. So can you just lay it on me? |
| 0:45.6 | Like how, how, where do we start? I don't even know where to start from here. How is trading |
| 0:50.9 | like math? It's interesting how that all started. I tweeted out one time. |
| 0:56.1 | I said, you know, trading is not predictions and opinions. |
| 0:59.0 | Trading is math. |
| 1:00.3 | And I tweeted that. |
| 1:01.6 | And I had people start, you know, messaging me on Instagram and Twitter going, going, |
| 1:05.9 | saying, what do you mean trading is math? |
| 1:07.7 | Exactly. |
| 1:08.2 | So I thought, okay. |
| 1:09.1 | I mean, in my mind, it's always natural, you know, risk |
| 1:11.2 | order ratios, moving averages, positive expectancy. I always thought, you know, how big your wins are, |
| 1:19.1 | how many lost you out in a row, compounding interest, all the stuff. I thought, you know, |
| 1:22.3 | that's very simple in my mind. It all makes sense, but people are saying, what the heck do you mean? |
| 1:25.5 | So I had a private message. I explained all the different mathematical dynamics and then uh i thought this is a really good uh |
| 1:32.5 | reply and i thought i'm gonna share this on social media and i shared across all my social |
| 1:36.3 | media platforms and it was one of the most viral things this year he just went nuts who knew people love |
| 1:42.2 | math i would yeah i never, the title like trading is math when I, |
... |
Please login to see the full transcript.
Disclaimer: The podcast and artwork embedded on this page are from Stansberry Research, and are the property of its owner and not affiliated with or endorsed by Tapesearch.
Generated transcripts are the property of Stansberry Research and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.
Copyright © Tapesearch 2026.

