Trading is Math Audiobook By Steve Burns, Holly Burns cover art

Trading is Math

The Formulas for Profitable Trading in Any Market

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Trading is Math

By: Steve Burns, Holly Burns
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Trading Is Math

The Formulas for Profitable Trading in Any Market

Most traders lose money for one simple reason: they approach trading as a game of opinions, predictions, and stories.

The market doesn’t reward confidence.
It doesn’t reward intelligence.
And it certainly doesn’t reward hope.

It rewards math.

Trading Is Math shows you how profitable trading actually works—through probability, risk control, expectancy, and disciplined execution. Instead of chasing predictions or relying on gut feelings, this book teaches you how to build a repeatable, mathematical trading framework that works over hundreds and thousands of trades.

Inside, you’ll learn how professional traders think in terms of distributions, not individual outcomes—and why being wrong most of the time can still be profitable when the math is on your side.

In this book, you’ll discover:
  • How win rate, average win, and average loss combine to create (or destroy) profitability

  • Why risk-to-reward ratios matter more than how often you’re right

  • How proper position sizing protects your account and stabilizes results

  • The hidden math behind drawdowns—and why small losses matter more than big wins

  • How expectancy determines whether a strategy is actually viable

  • Why trade frequency and repetition are required for an edge to emerge

  • How compounding works in real trading—not theory

Whether you trade stocks, options, futures, or crypto, the principles in this book apply universally. No indicators to memorize. No secret setups. Just the mathematical foundation every successful trading system relies on.

This is not a book about predicting markets.
It’s a book about surviving, scaling, and staying in the game long enough to win.

Because in the end, trading isn’t about being right.
It’s about letting the math work.

Analysis & Strategy Investing & Trading Stocks Mathematics Technical Analysis
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