Valvoline Stock Overlap Studies Bollinger Bands

VVV Stock  USD 38.56  0.08  0.21%   
Valvoline overlap studies tool provides the execution environment for running the Bollinger Bands study and other technical functions against Valvoline. Valvoline 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. Valvoline 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.

Execute Study
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Valvoline 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 Valvoline. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Valvoline Technical Analysis Modules

Most technical analysis of Valvoline 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 Valvoline from various momentum indicators to cycle indicators. When you analyze Valvoline 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 Valvoline 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 Valvoline. We use our internally-developed statistical techniques to arrive at the intrinsic value of Valvoline based on widely used predictive technical indicators. In general, we focus on analyzing Valvoline Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Valvoline'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 Valvoline's intrinsic value. In addition to deriving basic predictive indicators for Valvoline, we also check how macroeconomic factors affect Valvoline 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 Yield0.01970.0041840.0048120.004571
Price To Sales Ratio3.673.613.252.36
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Valvoline'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.
Hype
Prediction
LowEstimatedHigh
36.8938.5640.23
Details
Intrinsic
Valuation
LowRealHigh
38.0839.7541.42
Details
13 Analysts
Consensus
LowTargetHigh
36.9140.5645.02
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.270.290.32
Details

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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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Valvoline 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 Valvoline 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 Valvoline will appreciate offsetting losses from the drop in the long position's value.

Valvoline Pair Trading

Valvoline Pair Trading Analysis

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

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