Wearable Devices Stock Technical Analysis
| WLDSW Stock | USD 1.40 0.00 0.00% |
As of the 3rd of March, Wearable Devices maintains the Mean Deviation of 16.11, downside deviation of 17.18, and Market Risk Adjusted Performance of (0.23). 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, information ratio, as well as the relationship between the Information Ratio and downside variance to decide if Wearable Devices is priced fairly, providing market reflects its latest price of 1.4 per share. Please also validate Wearable Devices total risk alpha, which is currently at (0.74) to confirm the company can sustain itself at a future point.
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.Search Suggestions
| WLD | Worldcoin | Cryptocurrency |
| WLDS | Wearable Devices | Company |
| WLDR | Affinity World Leaders | ETF |
| WLD | Lyxor UCITS MSCI | ETFDelisted |
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
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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 March 3, 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.
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| Math Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.0555 | |||
| Market Risk Adjusted Performance | (0.23) | |||
| Mean Deviation | 16.11 | |||
| Semi Deviation | 16.25 | |||
| Downside Deviation | 17.18 | |||
| Coefficient Of Variation | 1666.91 | |||
| Standard Deviation | 22.26 | |||
| Variance | 495.35 | |||
| Information Ratio | 0.0564 | |||
| Jensen Alpha | 1.72 | |||
| Total Risk Alpha | (0.74) | |||
| Sortino Ratio | 0.073 | |||
| Treynor Ratio | (0.24) | |||
| Maximum Drawdown | 131.69 | |||
| Value At Risk | (29.33) | |||
| Potential Upside | 35.93 | |||
| Downside Variance | 295.05 | |||
| Semi Variance | 264.21 | |||
| Expected Short fall | (20.97) | |||
| Skewness | 1.22 | |||
| Kurtosis | 3.45 |
Wearable Devices March 3, 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 | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 1.40 | ||
| Day Typical Price | 1.40 | ||
| Price Action Indicator | 0.00 |
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.