Before you can forecast the future, you need to understand the past.
In Book 2 of the Foundations of Time Series Forecasting for Canadian Dividend Stocks series, we focus on what truly powers great forecasting models—clean, structured, and insightful data.
You’ll learn how to source high-quality stock market data from platforms like Yahoo Finance using R libraries like tidyquant. Then, we walk you step-by-step through preprocessing and exploratory data analysis (EDA) using real-world historical data from 11 Canadian Dividend Aristocrats.
What You’ll Learn:
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How to access and download stock price data programmatically in R
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How to clean, transform, and structure your data for modeling
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Techniques for detecting trends, seasonality, and volatility in dividend-paying stocks
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Visualizing time series data to uncover investment insights
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Hands-on EDA of daily stock closing prices using powerful R packages
Whether you’re an aspiring quant, a DIY investor, or a data science learner, this book arms you with the practical knowledge to prepare time series data the right way—paving the road for accurate and reliable forecasting.
Author: Chuck Egboka
Year: 2025
Pages: TBD
Publisher: Cuttell Publications
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