CORE
Introduction to Statistics for Trading and Investing
A foundation course in statistics for trading and investing, built for engineering graduates, coders, data scientists and systematic traders. Covers descriptive statistics, probability, distributions, correlation and regression, and hypothesis testing, all grounded in NSE and BSE market data, with worked calculations, real Indian stock examples, and hands-on practice exercises in every lesson.
Descriptive statisticsProbabilityDistributionsCorrelation and regressionHypothesis testingBacktesting
MODULES
6
DURATION
~8.3 hrs
TRACK
Quantitative Finance
What You'll Master
Calculate and interpret mean, variance, standard deviation, skewness and kurtosis on real stock return data
Apply probability rules and Bayes' theorem to trading decisions
Understand why fat tails and log-normal distributions matter more than the normal distribution in real markets
Use correlation, covariance and linear regression to evaluate diversification and calculate beta
Test whether a trading strategy's backtested edge is statistically real or a product of chance and overfitting
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates
Curriculum Breakdown
Why Statistics Matter in Markets
4 LessonsDescriptive Statistics for Market Data
5 Lessons▶
Mean, Median and Mode in Stock Returns20 min read
▶
Range, Variance and Standard Deviation: Measuring Risk20 min read
▶
Skewness and Kurtosis: When Market Returns Break the Normal Curve20 min read
▶
Percentiles and Quartiles: Ranking Stocks by Performance20 min read
▶
Visualizing Data: Histograms and Box Plots for Price Action20 min read