Math Archives - New Trader U

10 Math Rules That Made Warren Buffett a Billionaire

Investing, Math, Warren Buffett / Steve Burns

Warren Buffett’s legendary investment success stems from his disciplined application of mathematical principles to stock market investing. While he famously stated that complex math isn’t necessary for successful investing, his wealth-building strategy consistently relies on simple fundamental mathematical concepts that provide a systematic framework for evaluating opportunities and managing risk. Here are the ten math […]

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Why Luck Isn’t Real

Math / Steve Burns

In a world where the idea of luck often clouds our perception of success and failure, it’s time to unravel the truth behind this commonly held belief. Is luck a real force shaping our lives, or is it merely a convenient excuse for the unexplained twists of fate? This article dives deep into why the

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How Much is a Penny Doubled Every Day for a Month

Math / Holly Burns

A penny doubled every day for a month is $5,368,709.12 after 30 days. The concept of doubling a penny every day may seem simple, but it demonstrates the powerful principle of exponential growth. The idea is to start with a penny and double it every day for a month, which leads to a surprising final

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The Simplest Math Problem No One Can Solve (Collatz Conjecture)

Math / Steve Burns

3x+1 Concerning the above math problem, Paul Erdös said that “Mathematics is not yet ripe for such questions.” He also offered $500 USD for its solution. Jeffrey Lagarias said in 2010 that this math problem: “Is an extraordinarily difficult problem, completely out of reach of present day mathematics.” Richard Guy has this on his list

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Math Cheat Sheet For Traders

Math, Trading / Steve Burns

Understanding the mathematical principles of profitable trading can help a trader understand how to create a positive expectancy trading system with an edge. The understanding of the underlying math can change how you look at your own trading and see what really matters: risk per trade, win rate, losing streaks, drawdowns, positive expectancy, and growth

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Qualitative vs Quantitative Trading

Math, Trading / Steve Burns

Qualitative analysis seeks to understand human behavior from the perspective of the researcher of information. It looks for the dynamic in an integrated reality. Information can be gathered through observation, historical research, and interviews of human behavior. Data is analyzed through descriptions and themes. Data is translated and reported through the perspective of the researcher’s

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The Normal Distribution Formula

Math / Steve Burns

In probability theory a normal distribution is a kind of probability distribution with a set value of random variables. The normal distribution formula is: Normal distributions are valuable in statistical analysis and is used a lot in trading to set values on random variables of future distributions that are not known. Normal distribution states that under market conditions over many average

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The Sortino Ratio Formula

Investing, Math, Trading / Steve Burns

The Sortino ratio is a way to measure the risk adjusted return of an asset, investment portfolio, or trading strategy. The Sortino ratio is an adjustment to the Sharpe Ratio that filters volatility from upside moves from downside moves. The Sortino ratio only measures downside moves that are below a specified volatility target or return

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The Simple Interest Formula

Investing, Math / Steve Burns

Simple interest is only calculated on the original amount of capital inside a set time period. It does not include the compounding effect of returns on new money accrued. Simple interest can be used over any time period but annual returns is the one that is most commonly used. Simple interest is calculated on original principle alone. Compound interest includes the additional

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The Rule Of 72 Formula

Investing, Math / Steve Burns

The rule of 72 is a process for quickly projecting how long it will take for a rate of investment return to make capital double. The number 72 is used in figuring out the answer by dividing the rate of return percentage per period to get an approximation of the number of years in most

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