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Quant Trading Challenge Prep
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Module 1
Foundations: Financial Data & Its Properties
1
Understanding Financial Data: OHLCV, Trades, and Quotes
Describe key financial data types (OHLCV, trades, quotes) and their relationships.
2
Log Returns: Calculation & Visualization
Compute and visualize log returns from a price series.
3
Stylized Facts of Financial Returns
Describe the stylized facts of financial returns: non-normality (fat tails), volatility clustering, and low autocorrelation.
4
Assessing Non-Normality with QQ Plots
Use a quantile-quantile (QQ) plot to visually assess the non-normality of a return series against a theoretical normal distribution.
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