Zscaler Stock Statistic Functions Linear Regression Intercept

ZS Stock  USD 171.77  0.84  0.49%   
Zscaler statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Zscaler. Zscaler 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 statistic functions indicators. As with most other technical indicators, the Linear Regression Intercept function function is designed to identify and follow existing trends. Zscaler statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
The output start index for this execution was twenty-nine with a total number of output elements of thirty-two. The Linear Regression Intercept is the expected mean value of Zscaler price seriese where values of its benchmark or peer price series are zero.

Zscaler Technical Analysis Modules

Most technical analysis of Zscaler 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 Zscaler from various momentum indicators to cycle indicators. When you analyze Zscaler 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 Zscaler 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 Zscaler. We use our internally-developed statistical techniques to arrive at the intrinsic value of Zscaler based on widely used predictive technical indicators. In general, we focus on analyzing Zscaler Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Zscaler's daily price indicators and compare them against related drivers, such as statistic functions 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 Zscaler's intrinsic value. In addition to deriving basic predictive indicators for Zscaler, we also check how macroeconomic factors affect Zscaler 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)
Days Sales Outstanding133.74131.52124.0198.67
PTB Ratio37.7232.0621.0620.0
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Zscaler'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
169.17172.26175.35
Details
Intrinsic
Valuation
LowRealHigh
155.85158.94188.95
Details
Naive
Forecast
LowNextHigh
193.21196.30199.38
Details
42 Analysts
Consensus
LowTargetHigh
172.04189.06209.86
Details

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Additional Tools for Zscaler Stock Analysis

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