Salesforce Stock Volatility Indicators Average True Range

CRM
 Stock
  

USD 147.00  13.25  8.27%   

Salesforce volatility indicators tool provides the execution environment for running the Average True Range indicator and other technical functions against Salesforce. Salesforce 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 volatility indicators indicators. As with most other technical indicators, the Average True Range indicator function is designed to identify and follow existing trends. Salesforce volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.

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The output start index for this execution was seven with a total number of output elements of fifty-four. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Salesforce volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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Salesforce Technical Analysis Modules

Most technical analysis of Salesforce 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 Salesforce from various momentum indicators to cycle indicators. When you analyze Salesforce 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 Salesforce 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 Salesforce. We use our internally-developed statistical techniques to arrive at the intrinsic value of Salesforce based on widely used predictive technical indicators. In general, we focus on analyzing Salesforce Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Salesforce's daily price indicators and compare them against related drivers, such as volatility indicators 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 Salesforce's intrinsic value. In addition to deriving basic predictive indicators for Salesforce, we also check how macroeconomic factors affect Salesforce price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2019 2020 2021 2022 (projected)
Long Term Debt to Equity0.07890.06440.180.24
Interest Coverage38.859.4471.5977.24
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Salesforce'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. Please use the tools below to analyze the current value of Salesforce in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
141.29144.48147.67
Details
Intrinsic
Valuation
LowReal ValueHigh
130.05187.77190.96
Details
Naive
Forecast
LowNext ValueHigh
153.85157.04160.22
Details
28 Analysts
Consensus
LowTarget PriceHigh
233.00320.90365.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Salesforce. Your research has to be compared to or analyzed against Salesforce's peers to derive any actionable benefits. When done correctly, Salesforce's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Salesforce.

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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Correlation Analysis

Reduce portfolio risk simply by holding instruments which are not perfectly correlated
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Salesforce 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 Salesforce 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 Salesforce will appreciate offsetting losses from the drop in the long position's value.

Salesforce Pair Trading

Salesforce Pair Trading Analysis

The ability to find closely correlated positions to Salesforce could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Salesforce 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 Salesforce - 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 Salesforce to buy it.
The correlation of Salesforce is a statistical measure of how it moves in relation to other equities. 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 Salesforce moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Salesforce 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 Salesforce 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
Continue to Trending Equities. You can also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

Complementary Tools for analysis

When running Salesforce price analysis, check to measure Salesforce'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 Salesforce is operating at the current time. Most of Salesforce's value examination focuses on studying past and present price action to predict the probability of Salesforce's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Salesforce's price. Additionally, you may evaluate how the addition of Salesforce to your portfolios can decrease your overall portfolio volatility.
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Is Salesforce's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Salesforce. If investors know Salesforce will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Salesforce listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth YOY
(0.88) 
Market Capitalization
151.7 B
Quarterly Revenue Growth YOY
0.22
Return On Assets
9.0E-4
Return On Equity
0.93
The market value of Salesforce is measured differently than its book value, which is the value of Salesforce that is recorded on the company's balance sheet. Investors also form their own opinion of Salesforce's value that differs from its market value or its book value, called intrinsic value, which is Salesforce's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Salesforce's market value can be influenced by many factors that don't directly affect Salesforce's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Salesforce's value and its price as these two are different measures arrived at by different means. Investors typically determine Salesforce value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Salesforce's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.