Applied Industrial Technologies Stock Overlap Studies Double Exponential Moving Average
| AIT Stock | USD 277.11 7.88 2.93% |
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The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Applied Industrial changes than the simple moving average.
Applied Industrial Technical Analysis Modules
Most technical analysis of Applied Industrial 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 Applied from various momentum indicators to cycle indicators. When you analyze Applied 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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About Applied Industrial 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 Applied Industrial Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Applied Industrial Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Applied Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Applied Industrial'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 Applied Industrial's intrinsic value. In addition to deriving basic predictive indicators for Applied Industrial, we also check how macroeconomic factors affect Applied Industrial price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.014 | 0.009562 | 0.007595 | 0.007215 | Price To Sales Ratio | 0.97 | 1.27 | 1.64 | 1.72 |
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Applied Industrial pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Applied Industrial position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Applied Industrial will appreciate offsetting losses from the drop in the long position's value.Applied Industrial Pair Trading
Applied Industrial Technologies Pair Trading Analysis
The ability to find closely correlated positions to Applied Industrial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Applied Industrial when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Applied Industrial - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Applied Industrial Technologies to buy it.
The correlation of Applied Industrial is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Applied Industrial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Applied Industrial moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Applied Industrial can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Applied Stock Analysis
When running Applied Industrial's price analysis, check to measure Applied Industrial'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 Applied Industrial is operating at the current time. Most of Applied Industrial's value examination focuses on studying past and present price action to predict the probability of Applied Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Applied Industrial's price. Additionally, you may evaluate how the addition of Applied Industrial to your portfolios can decrease your overall portfolio volatility.