Silver Bullet (UK) Technical Analysis
| SBDS Stock | 62.50 0.00 0.00% |
As of the 29th of December, Silver Bullet has the Coefficient Of Variation of 949.41, semi deviation of 3.74, and Risk Adjusted Performance of 0.0923. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Silver Bullet Data, as well as the relationship between them. Please validate Silver Bullet Data jensen alpha, maximum drawdown, and the relationship between the information ratio and treynor ratio to decide if Silver Bullet is priced more or less accurately, providing market reflects its prevalent price of 62.5 per share.
Silver Bullet Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Silver, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SilverSilver |
Silver Bullet 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.
Silver Bullet Data 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 Silver Bullet Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Silver Bullet Data Trend Analysis
Use this graph to draw trend lines for Silver Bullet Data. You can use it to identify possible trend reversals for Silver Bullet 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 Silver Bullet price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Silver Bullet Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Silver Bullet Data applied against its price change over selected period. The best fit line has a slop of 0.47 , which means Silver Bullet Data will continue generating value for investors. It has 122 observation points and a regression sum of squares at 8415.27, which is the sum of squared deviations for the predicted Silver Bullet price change compared to its average price change.About Silver Bullet 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 Silver Bullet Data 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 Silver Bullet Data based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Silver Bullet Data price pattern first instead of the macroeconomic environment surrounding Silver Bullet Data. By analyzing Silver Bullet'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 Silver Bullet'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 Silver Bullet specific price patterns or momentum indicators. Please read more on our technical analysis page.
Silver Bullet December 29, 2024 Technical Indicators
Most technical analysis of Silver 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 Silver from various momentum indicators to cycle indicators. When you analyze Silver 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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| Volume Indicators |
| Risk Adjusted Performance | 0.0923 | |||
| Market Risk Adjusted Performance | (0.58) | |||
| Mean Deviation | 2.93 | |||
| Semi Deviation | 3.74 | |||
| Downside Deviation | 6.9 | |||
| Coefficient Of Variation | 949.41 | |||
| Standard Deviation | 4.72 | |||
| Variance | 22.29 | |||
| Information Ratio | 0.0985 | |||
| Jensen Alpha | 0.5055 | |||
| Total Risk Alpha | 0.3558 | |||
| Sortino Ratio | 0.0674 | |||
| Treynor Ratio | (0.59) | |||
| Maximum Drawdown | 20.99 | |||
| Value At Risk | (6.86) | |||
| Potential Upside | 8.08 | |||
| Downside Variance | 47.64 | |||
| Semi Variance | 13.99 | |||
| Expected Short fall | (5.59) | |||
| Skewness | (0.64) | |||
| Kurtosis | 4.94 |
Additional Tools for Silver Stock Analysis
When running Silver Bullet's price analysis, check to measure Silver Bullet'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 Silver Bullet is operating at the current time. Most of Silver Bullet's value examination focuses on studying past and present price action to predict the probability of Silver Bullet's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silver Bullet's price. Additionally, you may evaluate how the addition of Silver Bullet to your portfolios can decrease your overall portfolio volatility.