ShotSpotter (Germany) Overlap Studies Double Exponential Moving Average
918 Stock | 11.10 0.40 3.74% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to ShotSpotter changes than the simple moving average.
ShotSpotter Technical Analysis Modules
Most technical analysis of ShotSpotter help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for ShotSpotter from various momentum indicators to cycle indicators. When you analyze ShotSpotter charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.Cycle Indicators | ||
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Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
About ShotSpotter Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of ShotSpotter. We use our internally-developed statistical techniques to arrive at the intrinsic value of ShotSpotter based on widely used predictive technical indicators. In general, we focus on analyzing ShotSpotter Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build ShotSpotter's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of ShotSpotter's intrinsic value. In addition to deriving basic predictive indicators for ShotSpotter, we also check how macroeconomic factors affect ShotSpotter price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ShotSpotter's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for ShotSpotter Stock Analysis
When running ShotSpotter's price analysis, check to measure ShotSpotter's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy ShotSpotter is operating at the current time. Most of ShotSpotter's value examination focuses on studying past and present price action to predict the probability of ShotSpotter's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ShotSpotter's price. Additionally, you may evaluate how the addition of ShotSpotter to your portfolios can decrease your overall portfolio volatility.