Zscaler Stock Technical Analysis
| ZS Stock | USD 204.96 0.00 0.00% |
As of the 28th of November, Zscaler maintains the Market Risk Adjusted Performance of 0.1131, mean deviation of 1.91, and Downside Deviation of 3.87. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Zscaler, as well as the relationship between them. Please check out Zscaler standard deviation, value at risk, kurtosis, as well as the relationship between the jensen alpha and semi variance to decide if Zscaler is priced fairly, providing market reflects its latest price of 204.96 per share. Given that Zscaler has jensen alpha of (0.02), we strongly advise you to confirm Zscaler's prevalent market performance to make sure the company can sustain itself at a future point.
Zscaler Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Zscaler, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ZscalerZscaler |
Zscaler Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 189.06 | Strong Buy | 44 | Odds |
Most Zscaler analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Zscaler stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Zscaler, talking to its executives and customers, or listening to Zscaler conference calls.
Zscaler technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Zscaler Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Zscaler volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Zscaler Trend Analysis
Use this graph to draw trend lines for Zscaler. You can use it to identify possible trend reversals for Zscaler as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Zscaler price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Zscaler Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Zscaler applied against its price change over selected period. The best fit line has a slop of 0.81 , which suggests that Zscaler will keep on generating value for investors. It has 122 observation points and a regression sum of squares at 24951.3, which is the sum of squared deviations for the predicted Zscaler price change compared to its average price change.About Zscaler Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Zscaler on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Zscaler based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Zscaler price pattern first instead of the macroeconomic environment surrounding Zscaler. By analyzing Zscaler's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Zscaler's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Zscaler specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 133.74 | 131.52 | 124.01 | 98.67 | PTB Ratio | 37.72 | 32.06 | 21.06 | 20.0 |
Zscaler November 28, 2024 Technical Indicators
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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.043 | |||
| Market Risk Adjusted Performance | 0.1131 | |||
| Mean Deviation | 1.91 | |||
| Semi Deviation | 3.72 | |||
| Downside Deviation | 3.87 | |||
| Coefficient Of Variation | 2155.67 | |||
| Standard Deviation | 3.1 | |||
| Variance | 9.58 | |||
| Information Ratio | 0.0043 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | 0.0034 | |||
| Treynor Ratio | 0.1031 | |||
| Maximum Drawdown | 20.36 | |||
| Value At Risk | (3.37) | |||
| Potential Upside | 3.73 | |||
| Downside Variance | 14.94 | |||
| Semi Variance | 13.83 | |||
| Expected Short fall | (1.94) | |||
| Skewness | (3.38) | |||
| Kurtosis | 20.45 |
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.