Zw Data Action Stock Technical Analysis
| CNET Stock | USD 0.92 0.11 10.68% |
As of the 7th of February, ZW Data owns the market risk adjusted performance of 2.13, and Information Ratio of (0.23). ZW Data Action technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the company's future prices.
ZW Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CNET, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CNETZW Data'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.Is there potential for Advertising market expansion? Will CNET introduce new products? Factors like these will boost the valuation of ZW Data. Projected growth potential of CNET fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about ZW Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.73) | Revenue Per Share | Quarterly Revenue Growth (0.47) | Return On Assets | Return On Equity |
Investors evaluate ZW Data Action using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ZW Data'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 ZW Data's market price to deviate significantly from intrinsic value.
It's important to distinguish between ZW Data's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ZW Data should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, ZW Data's market price signifies the transaction level at which participants voluntarily complete trades.
ZW Data '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 ZW Data'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 ZW Data.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in ZW Data on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding ZW Data Action or generate 0.0% return on investment in ZW Data over 90 days. ZW Data is related to or competes with Baosheng Media, Cheetah Mobile, Onfolio Holdings, Star Fashion, Cheer Holding, Locafy, and Lendway. ZW Data Action Technologies Inc., through its subsidiaries, provides omni-channel advertising, precision marketing, and ... More
ZW Data 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 ZW Data'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 ZW Data Action upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 25.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 5.59 |
ZW Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZW Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZW Data's standard deviation. In reality, there are many statistical measures that can use ZW Data historical prices to predict the future ZW Data's volatility.| Risk Adjusted Performance | (0.17) | |||
| Jensen Alpha | (1.12) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 2.12 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ZW Data'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.
ZW Data February 7, 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 | (0.17) | |||
| Market Risk Adjusted Performance | 2.13 | |||
| Mean Deviation | 3.86 | |||
| Coefficient Of Variation | (459.26) | |||
| Standard Deviation | 5.28 | |||
| Variance | 27.83 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (1.12) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 2.12 | |||
| Maximum Drawdown | 25.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 5.59 | |||
| Skewness | (0.70) | |||
| Kurtosis | 3.23 |
ZW Data Action Backtested Returns
ZW Data Action retains Efficiency (Sharpe Ratio) of -0.19, which attests that the company had a -0.19 % return per unit of price deviation over the last 3 months. ZW Data exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out ZW Data's information ratio of (0.23), and Market Risk Adjusted Performance of 2.13 to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of -0.55, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning ZW Data are expected to decrease at a much lower rate. During the bear market, ZW Data is likely to outperform the market. At this point, ZW Data Action has a negative expected return of -1.04%. Please make sure to check out ZW Data's information ratio, as well as the relationship between the potential upside and rate of daily change , to decide if ZW Data Action performance from the past will be repeated in the future.
Auto-correlation | 0.54 |
Modest predictability
ZW Data Action has modest predictability. Overlapping area represents the amount of predictability between ZW Data time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 ZW Data Action price movement. The serial correlation of 0.54 indicates that about 54.0% of current ZW Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
ZW Data 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.
ZW Data Action Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 ZW Data Action volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About ZW Data 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 ZW Data Action 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 ZW Data Action based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on ZW Data Action price pattern first instead of the macroeconomic environment surrounding ZW Data Action. By analyzing ZW Data'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 ZW Data'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 ZW Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Dividend Yield | 7.8E-5 | 7.4E-5 | Price To Sales Ratio | 0.27 | 0.26 |
ZW Data February 7, 2026 Technical Indicators
Most technical analysis of CNET 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 CNET from various momentum indicators to cycle indicators. When you analyze CNET 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 | (0.17) | |||
| Market Risk Adjusted Performance | 2.13 | |||
| Mean Deviation | 3.86 | |||
| Coefficient Of Variation | (459.26) | |||
| Standard Deviation | 5.28 | |||
| Variance | 27.83 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (1.12) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 2.12 | |||
| Maximum Drawdown | 25.42 | |||
| Value At Risk | (10.06) | |||
| Potential Upside | 5.59 | |||
| Skewness | (0.70) | |||
| Kurtosis | 3.23 |
ZW Data February 7, 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 CNET 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 | 1,403 | ||
| Daily Balance Of Power | (0.69) | ||
| Rate Of Daily Change | 0.89 | ||
| Day Median Price | 0.91 | ||
| Day Typical Price | 0.91 | ||
| Price Action Indicator | (0.04) |
Additional Tools for CNET Stock Analysis
When running ZW Data's price analysis, check to measure ZW Data'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 ZW Data is operating at the current time. Most of ZW Data's value examination focuses on studying past and present price action to predict the probability of ZW Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ZW Data's price. Additionally, you may evaluate how the addition of ZW Data to your portfolios can decrease your overall portfolio volatility.