Arrow Financial Stock Overlap Studies Bollinger Bands

AROW Stock  USD 33.45  0.75  2.29%   
Arrow Financial overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Arrow Financial. Arrow Financial value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of overlap studies indicators. As with most other technical indicators, the Bollinger Bands study function is designed to identify and follow existing trends. Arrow Financial overlay technical analysis usually involve calculating upper and lower limits of price movements based on various statistical techniques. Please specify the following input to run this model: Time Period, Deviations up, Deviations down, and MA Type.

The output start index for this execution was two with a total number of output elements of fifty-nine. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Arrow Financial middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Arrow Financial. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Arrow Financial Technical Analysis Modules

Most technical analysis of Arrow Financial 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 Arrow from various momentum indicators to cycle indicators. When you analyze Arrow 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.

About Arrow Financial 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 Arrow Financial. We use our internally-developed statistical techniques to arrive at the intrinsic value of Arrow Financial based on widely used predictive technical indicators. In general, we focus on analyzing Arrow Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Arrow Financial'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 Arrow Financial's intrinsic value. In addition to deriving basic predictive indicators for Arrow Financial, we also check how macroeconomic factors affect Arrow Financial 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 Yield0.02890.03120.03780.0268
Price To Sales Ratio3.953.753.652.82
Hype
Prediction
LowEstimatedHigh
31.0733.5636.05
Details
Intrinsic
Valuation
LowRealHigh
22.5825.0736.80
Details
Naive
Forecast
LowNextHigh
29.6232.1134.60
Details
1 Analysts
Consensus
LowTargetHigh
16.3818.0019.98
Details

Learn to be your own money manager

As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.

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Analyst Advice

Analyst recommendations and target price estimates broken down by several categories
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Arrow Financial 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 Arrow Financial 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 Arrow Financial will appreciate offsetting losses from the drop in the long position's value.

Arrow Financial Pair Trading

Arrow Financial Pair Trading Analysis

The ability to find closely correlated positions to Arrow Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Arrow Financial 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 Arrow Financial - 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 Arrow Financial to buy it.
The correlation of Arrow Financial 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 Arrow Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Arrow Financial 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 Arrow Financial 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.
Pair CorrelationCorrelation Matching

Additional Tools for Arrow Stock Analysis

When running Arrow Financial's price analysis, check to measure Arrow Financial'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 Arrow Financial is operating at the current time. Most of Arrow Financial's value examination focuses on studying past and present price action to predict the probability of Arrow Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arrow Financial's price. Additionally, you may evaluate how the addition of Arrow Financial to your portfolios can decrease your overall portfolio volatility.