Siyata Mobile Stock Technical Analysis
SYTAW Stock | USD 0.05 0.01 12.54% |
As of the 22nd of November, Siyata Mobile has the Coefficient Of Variation of 1006.68, semi deviation of 10.94, and Risk Adjusted Performance of 0.0854. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Siyata Mobile, as well as the relationship between them. Please validate Siyata Mobile market risk adjusted performance, variance, as well as the relationship between the Variance and potential upside to decide if Siyata Mobile is priced more or less accurately, providing market reflects its prevalent price of 0.0509 per share. As Siyata Mobile appears to be a penny stock we also recommend to double-check its total risk alpha numbers.
Siyata Mobile Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Siyata, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SiyataSiyata |
Siyata Mobile 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.
Siyata Mobile Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-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 Siyata Mobile volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Siyata Mobile Trend Analysis
Use this graph to draw trend lines for Siyata Mobile. You can use it to identify possible trend reversals for Siyata Mobile 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 Siyata Mobile price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Siyata Mobile Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Siyata Mobile applied against its price change over selected period. The best fit line has a slop of 0.0002 , which means Siyata Mobile will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Siyata Mobile price change compared to its average price change.About Siyata Mobile 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 Siyata Mobile 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 Siyata Mobile based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Siyata Mobile price pattern first instead of the macroeconomic environment surrounding Siyata Mobile. By analyzing Siyata Mobile'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 Siyata Mobile'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 Siyata Mobile specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 2.15 | 1.65 | 1.62 | 1.54 | Days Of Inventory On Hand | 154.14 | 293.36 | 232.06 | 139.1 |
Siyata Mobile November 22, 2024 Technical Indicators
Most technical analysis of Siyata 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 Siyata from various momentum indicators to cycle indicators. When you analyze Siyata 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 Operators | ||
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Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.0854 | |||
Market Risk Adjusted Performance | (7.76) | |||
Mean Deviation | 12.58 | |||
Semi Deviation | 10.94 | |||
Downside Deviation | 15.3 | |||
Coefficient Of Variation | 1006.68 | |||
Standard Deviation | 21.19 | |||
Variance | 448.84 | |||
Information Ratio | 0.0942 | |||
Jensen Alpha | 2.12 | |||
Total Risk Alpha | (0.67) | |||
Sortino Ratio | 0.1304 | |||
Treynor Ratio | (7.77) | |||
Maximum Drawdown | 152.29 | |||
Value At Risk | (24.53) | |||
Potential Upside | 25.0 | |||
Downside Variance | 234.03 | |||
Semi Variance | 119.75 | |||
Expected Short fall | (22.59) | |||
Skewness | 2.77 | |||
Kurtosis | 12.9 |
Additional Tools for Siyata Stock Analysis
When running Siyata Mobile's price analysis, check to measure Siyata Mobile'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 Siyata Mobile is operating at the current time. Most of Siyata Mobile's value examination focuses on studying past and present price action to predict the probability of Siyata Mobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Siyata Mobile's price. Additionally, you may evaluate how the addition of Siyata Mobile to your portfolios can decrease your overall portfolio volatility.