Building and Backtesting a Buy-Sell Model with Close Prices and EMAs Buy-Sell models are among my favorite analytical techniques because they simulate what traders do on a regular basis – namely, buy and sell securities. However, no amount of backtesting is enough to guarantee how well a buy-sell model reflects actual market performance. This is because publicly traded financial security prices are driven by diverse factors that can change over time. Nevertheless, buy-sell models can offer useful guidelines for buying and selling securities when current market conditions are similar to previously backtested market scenarios. EMAs are another of my favorite analytical tools for modeling the behavior of security prices. EMA is an abbreviation for an exponential moving average. However, an EMA is really not an averaging technique. Instead, EMAs are a smoothing technique for time series data. The period, or more precisely period length, of an...
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Security Trading Analytics Blog Posts Through February 24, 2025 Click on a Title to Navigate to a Post About the Security Trading Analytics Blog Bitcoin-related Ticker Performance in 2023 Year and in December 2023 Can Leveraged ETFs Safely Grow Long-Term Investments? How to Download and Display Historical Price and Volume Data Bitcoin USD Exchange Rates Versus Major Market ETFs Investing in Bitcoin-related Securities Using Google Gemini to Learn Candlestick Charts and Moving Averages An Introduction to Computing and Interpreting EMAs with Excel Compound Annual Growth Rates for Leveraged Versus Unleveraged Exchange Traded Funds Yahoo Finance No Longer Supports the Download of Historical Data via CSV Files GOOLEFINANCE Function in Google Sheets Can Download Historical Data via CSV Files Do Returns from the GOOGLEFINANCE Function in Google Sheets Match Returns from Yahoo Finance? An Assessment of Selected Bitcoin-Related Securities from 2020 Through 2024 Assessing Returns for Stocks...