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Build quantitative trading bot
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Module 1
Foundations: Probability & Statistics
1
Probability and Statistics in Quantitative Trading
Explain the role of probability and statistics in quantitative trading.
Expected Value, Variance, and Standard Deviation of Asset Returns
Compute and interpret expected value, variance, and standard deviation for asset returns.
3
Normal and Log-Normal Distributions in Finance
Describe the properties of normal and log-normal distributions in the context of financial returns.
4
Calculating Asset Correlation and Covariance
Calculate correlation and covariance between two asset price series.
5
Stochastic Processes & Asset Pricing
Explain what a stochastic process is and why asset prices are often modeled as one.
6
Samples, Populations, and Statistical Inference
Differentiate between a sample and a population and explain the concept of statistical inference.
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