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Validating Market Regimes Across Six Tickers This is the second post in a multi-part series on tracking six tickers across multiple decades with different buy-sell models.  The first post in the series illustrates how to collect historical prices with the GOOGLEFINANCE function in Google Sheets for six tickers and transfer the historical prices to a SQL Server database in order to achieve downstream modeling and analysis objectives.  The six tickers for the post series are CAT, JPM, LLY, MSFT, NVDA, and SHW.  The first post in the series includes a brief section describing the company for each ticker. This second post segments that same price history into a sequence of eras and assigns each one a regime: expansion, contraction, or shock. Driven by favorable market, economic, or societal conditions, an expansion era consistently generates higher prices at its close than at its beginning.  Contraction or shock eras should end with lower prices than when they start beca...
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A Multi-Decade Framework for Comparing Ticker Prices from Two Spreadsheet Data Providers This post presents a framework for collecting daily historical ticker prices from two spreadsheet-based data providers over multiple decades for six tickers.  The providers are the GOOGLEFINANCE function in Google Sheets and the STOCKHISTORY function in Microsoft Excel.  Subsequent posts will track and analyze price trends for the six tickers as well as illustrate how to use multi-decade historical prices for evaluating a collection of buy/sell models, such as the Proper Order and Gain Lock-In (POGL) model for programmatically specifying trade entry and exit dates for tickers. See two appendixes to this post for titles and links to prior posts covering both data providers and the POGL model. Tickers and Spreadsheet Expressions Tracked in This Post The following table includes tickers with matching security names whose historical prices are downloaded in this post.  All the trading ins...