Wearable Devices Stock Technical Analysis
| WLDS Stock | USD 1.10 0.03 2.65% |
As of the 25th of January, Wearable Devices maintains the Mean Deviation of 4.97, standard deviation of 7.4, and Market Risk Adjusted Performance of (0.29). Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Wearable Devices, as well as the relationship between them. Please check out Wearable Devices mean deviation, treynor ratio, as well as the relationship between the Treynor Ratio and kurtosis to decide if Wearable Devices is priced fairly, providing market reflects its latest price of 1.1 per share. Given that Wearable Devices is a hitting penny stock territory we urge to closely look at its jensen alpha.
Wearable Devices Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Wearable, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WearableWearable Devices' 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 Apparel, Accessories & Luxury Goods space 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 Wearable Devices. If investors know Wearable 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 Wearable Devices listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (9.98) | Revenue Per Share | Quarterly Revenue Growth (0.25) | Return On Assets | Return On Equity |
The market value of Wearable Devices is measured differently than its book value, which is the value of Wearable that is recorded on the company's balance sheet. Investors also form their own opinion of Wearable Devices' value that differs from its market value or its book value, called intrinsic value, which is Wearable Devices' 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 Wearable Devices' market value can be influenced by many factors that don't directly affect Wearable Devices' 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 Wearable Devices' value and its price as these two are different measures arrived at by different means. Investors typically determine if Wearable Devices is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Wearable Devices' 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.
Wearable Devices '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 Wearable Devices' 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 Wearable Devices.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Wearable Devices on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Wearable Devices or generate 0.0% return on investment in Wearable Devices over 90 days. Wearable Devices is related to or competes with Integrated Media, UTime, Treasure Global, Freight Technologies, OLB, Taoping, and My Size. Wearable Devices Ltd. engages in developing a non-invasive neural input interface for controlling digital devices using ... More
Wearable Devices 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 Wearable Devices' 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 Wearable Devices upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 53.88 | |||
| Value At Risk | (9.80) | |||
| Potential Upside | 10.53 |
Wearable Devices Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Wearable Devices' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Wearable Devices' standard deviation. In reality, there are many statistical measures that can use Wearable Devices historical prices to predict the future Wearable Devices' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (1.53) | |||
| Total Risk Alpha | (1.94) | |||
| Treynor Ratio | (0.30) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Wearable Devices' 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.
Wearable Devices January 25, 2026 Technical Indicators
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| Risk Adjusted Performance | (0.11) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 4.97 | |||
| Coefficient Of Variation | (599.03) | |||
| Standard Deviation | 7.4 | |||
| Variance | 54.74 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (1.53) | |||
| Total Risk Alpha | (1.94) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 53.88 | |||
| Value At Risk | (9.80) | |||
| Potential Upside | 10.53 | |||
| Skewness | 1.48 | |||
| Kurtosis | 6.42 |
Wearable Devices Backtested Returns
Wearable Devices shows Sharpe Ratio of -0.16, which attests that the company had a -0.16 % return per unit of risk over the last 3 months. Wearable Devices exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Wearable Devices' Mean Deviation of 4.97, market risk adjusted performance of (0.29), and Standard Deviation of 7.4 to validate the risk estimate we provide. The firm maintains a market beta of 4.17, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Wearable Devices will likely underperform. At this point, Wearable Devices has a negative expected return of -1.18%. Please make sure to check out Wearable Devices' treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if Wearable Devices performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.71 |
Good predictability
Wearable Devices has good predictability. Overlapping area represents the amount of predictability between Wearable Devices time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th of January 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 Wearable Devices price movement. The serial correlation of 0.71 indicates that around 71.0% of current Wearable Devices price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Wearable Devices 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.
Wearable Devices Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Wearable Devices volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Wearable Devices 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 Wearable Devices 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 Wearable Devices based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Wearable Devices price pattern first instead of the macroeconomic environment surrounding Wearable Devices. By analyzing Wearable Devices'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 Wearable Devices'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 Wearable Devices specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Payables Turnover | 0.15 | 2.78 | 2.51 | 2.63 | Days Of Inventory On Hand | 6.1K | 1.0K | 921.6 | 1.3K |
Wearable Devices January 25, 2026 Technical Indicators
Most technical analysis of Wearable 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 Wearable from various momentum indicators to cycle indicators. When you analyze Wearable 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 | (0.11) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 4.97 | |||
| Coefficient Of Variation | (599.03) | |||
| Standard Deviation | 7.4 | |||
| Variance | 54.74 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (1.53) | |||
| Total Risk Alpha | (1.94) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 53.88 | |||
| Value At Risk | (9.80) | |||
| Potential Upside | 10.53 | |||
| Skewness | 1.48 | |||
| Kurtosis | 6.42 |
Wearable Devices January 25, 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 Wearable 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 | 0.04 | ||
| Daily Balance Of Power | (0.60) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 1.12 | ||
| Day Typical Price | 1.11 | ||
| Price Action Indicator | (0.03) | ||
| Market Facilitation Index | 0.05 |
Additional Tools for Wearable Stock Analysis
When running Wearable Devices' price analysis, check to measure Wearable Devices' 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 Wearable Devices is operating at the current time. Most of Wearable Devices' value examination focuses on studying past and present price action to predict the probability of Wearable Devices' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Wearable Devices' price. Additionally, you may evaluate how the addition of Wearable Devices to your portfolios can decrease your overall portfolio volatility.