About the Security Trading Analytics Blog This blog aims to empower site visitors who seek examples and demonstrations of quantitative methods for tracking and projecting security prices. Another goal of the blog is to present methods and resources that are practical and useful for individuals who want to become better traders and investors with the help of quant methods. Quantitative methods may include, but are not limited to: · Analysis of historical security prices · Technical analysis of trends and indicators · Models for when to buy and sell securities implemented with o Python o SQL Server o Excel o Google Sheets with the GOOGLEFINANCE Function About the Blog’s Author Hi, I ...
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Assessing Returns for Stocks In Watchlists A watchlist is a collection of stocks that can help you identify stock market trends by revealing securities driving those trends. In addition, you can also think of a collection of watchlists as sets of stocks designed to reflect changing growth rates in complementary market areas. It is not unusual for traders to take advantage of multiple contrasting watchlists. A watchlist does not necessarily contain your current portfolio of holdings. Instead, you can use a set of watchlists to identify stocks that are currently good candidates for either adding or removing positions from your current holdings. Trading decisions about when to buy, hold, or sell securities can be based on watchlists as well as technical and fundamental indicators along with trading narratives. Watchlists can be especially important for swing traders who hold positions over several weeks or months, and then exit positions within days w...
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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