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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...
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Gain Lock In Backtests for Trading ETFs Based on Major Market Indexes  The Security Trading Analytics blog includes a growing series of posts featuring the Proper Order Gain Lock‑in (POGL) model because of its repeated success in different contexts.   The model implements an algorithm for specifying when to buy and sell a financial security.   This post presents backtested results for the model’s gain lock-in feature. If you have ever been frustrated by watching accumulated gains evaporate before you can harvest them, this post may be worth your time. Data analysts may also find value in the discussion of the model, the demonstration of a backtesting workflow, and the evaluation of backtested outcomes. Listener‑friendly audio deep dives on the POGL model are available in either of the following posts: A Preliminary Analysis of EMA Period Lengths and Price Action in a Buy-Sell Model Posts On Single-Stock ETFs and Modeling Buy-Sell Decisions An Overview of the POGL Model Th...