Zscaler Stock Technical Analysis
| ZS Stock | USD 172.59 5.13 2.89% |
As of the 18th of February 2026, Zscaler maintains the Standard Deviation of 2.8, mean deviation of 1.94, and Market Risk Adjusted Performance of (1.81). 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 information ratio, as well as the relationship between the value at risk and kurtosis to decide if Zscaler is priced fairly, providing market reflects its latest price of 172.59 per share. Given that Zscaler has information ratio of (0.36), 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's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Zscaler Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 307.12 | Strong Buy | 46 | 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.
Is there potential for Systems Software market expansion? Will Zscaler introduce new products? Factors like these will boost the valuation of Zscaler. Anticipated expansion of Zscaler directly elevates investor willingness to pay premium valuations. Understanding fair value requires weighing current performance against future potential. All the valuation information about Zscaler listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.26) | Revenue Per Share | Quarterly Revenue Growth 0.255 | Return On Assets | Return On Equity |
Investors evaluate Zscaler using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Zscaler's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Zscaler's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Zscaler's value and its price as these two are different measures arrived at by different means. Investors typically determine if Zscaler is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Zscaler's market price signifies the transaction level at which participants voluntarily complete trades.
Zscaler 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Zscaler's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Zscaler.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Zscaler on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Zscaler or generate 0.0% return on investment in Zscaler over 90 days. Zscaler is related to or competes with Block, NXP Semiconductors, Atlassian Corp, Datadog, Electronic Arts, CoreWeave, and Fortinet. Zscaler, Inc. operates as a cloud security company worldwide More
Zscaler Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Zscaler's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Zscaler upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.36) | |||
| Maximum Drawdown | 16.38 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 2.44 |
Zscaler Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zscaler's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zscaler's standard deviation. In reality, there are many statistical measures that can use Zscaler historical prices to predict the future Zscaler's volatility.| Risk Adjusted Performance | (0.26) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | (1.82) |
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.
Zscaler February 18, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.26) | |||
| Market Risk Adjusted Performance | (1.81) | |||
| Mean Deviation | 1.94 | |||
| Coefficient Of Variation | (296.63) | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.82 | |||
| Information Ratio | (0.36) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | (1.82) | |||
| Maximum Drawdown | 16.38 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 2.44 | |||
| Skewness | (1.57) | |||
| Kurtosis | 5.04 |
Zscaler Backtested Returns
Zscaler shows Sharpe Ratio of -0.27, which attests that the company had a -0.27 % return per unit of risk over the last 3 months. Zscaler exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Zscaler's Standard Deviation of 2.8, mean deviation of 1.94, and Market Risk Adjusted Performance of (1.81) to validate the risk estimate we provide. The firm maintains a market beta of 0.52, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Zscaler's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zscaler is expected to be smaller as well. At this point, Zscaler has a negative expected return of -0.77%. Please make sure to check out Zscaler's jensen alpha, kurtosis, price action indicator, as well as the relationship between the maximum drawdown and rate of daily change , to decide if Zscaler performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.73 |
Good predictability
Zscaler has good predictability. Overlapping area represents the amount of predictability between Zscaler time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Zscaler price movement. The serial correlation of 0.73 indicates that around 73.0% of current Zscaler price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.86 | |
| Residual Average | 0.0 | |
| Price Variance | 387.8 |
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 one with a total number of output elements of sixty. 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.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Days Sales Outstanding | 124.01 | 135.48 | 121.93 | 99.55 | PTB Ratio | 21.06 | 24.51 | 22.05 | 25.45 |
Zscaler February 18, 2026 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 | (0.26) | |||
| Market Risk Adjusted Performance | (1.81) | |||
| Mean Deviation | 1.94 | |||
| Coefficient Of Variation | (296.63) | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.82 | |||
| Information Ratio | (0.36) | |||
| Jensen Alpha | (0.98) | |||
| Total Risk Alpha | (1.10) | |||
| Treynor Ratio | (1.82) | |||
| Maximum Drawdown | 16.38 | |||
| Value At Risk | (6.23) | |||
| Potential Upside | 2.44 | |||
| Skewness | (1.57) | |||
| Kurtosis | 5.04 |
Zscaler February 18, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Zscaler stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 79,975 | ||
| Daily Balance Of Power | (0.71) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 173.23 | ||
| Day Typical Price | 173.01 | ||
| Price Action Indicator | (3.20) |
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.