Evaluating POGL Trades Against Buy-and-Hold Across Eras Should you trade in and out of positions, or should you buy and hold? If an active strategy truly offers an edge, it shouldn’t just rely on theory—it must be backed by quantitative models evaluated across multiple decades and a diverse basket of tickers. Welcome to the Security Trading Analytics blog, where we present and backtest active position management models to let the empirical data speak for themselves. This is the third post in a multi-part series on tracking ticker performance over multiple decades across three different regimes. The regimes are labelled: expansion, contraction, and shock. During an expansion regime, ticker prices are generally rising. In contrast, contraction and shock regimes denote periods of generally declining prices. Contraction regimes have durations of months or years, and shock regimes have durations of days or months. The first post in this series presents spreadsh...
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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...