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#quantitative 기사 18개 표시 중
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Normal Distribution vs Real Market Returns
The bell curve is the foundation of most risk models — but real returns have fatter tails than it predicts. Learn where the normal distribution helps and where it lies.

Law of Large Numbers: Streaks and Reality
The Law of Large Numbers explains why your strategy's long-run results will match its expectancy — and why your short-run results absolutely will not.

Hypothesis Testing and Sample Significance
Is your strategy's edge real, or just luck? Hypothesis testing gives you a framework to separate genuine edge from random noise in trading results.

Descriptive Statistics: Mean, Median, StdDev for Traders
Descriptive statistics summarize price behavior into a handful of numbers. Learn how mean, median, and standard deviation reveal the character of any market.

Correlation and Covariance Between Assets
Covariance and correlation measure how assets move together. Learn the math, the limits, and why diversification fails exactly when you need it most.

Confidence Intervals and Trading Uncertainty
A point estimate of expected return is a single number that hides how uncertain it is. Confidence intervals expose that uncertainty and keep you honest.
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