Silver Bullet (UK) Technical Analysis
| SBDS Stock | 19.00 1.00 5.00% |
As of the 18th of February 2026, Silver Bullet has the Variance of 15.18, risk adjusted performance of (0.07), and Coefficient Of Variation of (1,050). 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 value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if Silver Bullet is priced more or less accurately, providing market reflects its prevalent price of 19.0 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 '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 Silver Bullet'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 Silver Bullet.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Silver Bullet on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Silver Bullet Data or generate 0.0% return on investment in Silver Bullet over 90 days. Silver Bullet is related to or competes with PPHE Hotel, Clean Energy, Morgan Advanced, Scandinavian Tobacco, LGI Homes, DFS Furniture, and Pets At. Silver Bullet is entity of United Kingdom More
Silver Bullet 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 Silver Bullet'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 Silver Bullet Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (7.32) | |||
| Potential Upside | 7.89 |
Silver Bullet Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Silver Bullet's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Silver Bullet's standard deviation. In reality, there are many statistical measures that can use Silver Bullet historical prices to predict the future Silver Bullet's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | 1.33 |
Silver Bullet February 18, 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 | (0.07) | |||
| Market Risk Adjusted Performance | 1.34 | |||
| Mean Deviation | 2.3 | |||
| Coefficient Of Variation | (1,050) | |||
| Standard Deviation | 3.9 | |||
| Variance | 15.18 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | 1.33 | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (7.32) | |||
| Potential Upside | 7.89 | |||
| Skewness | 0.8785 | |||
| Kurtosis | 3.16 |
Silver Bullet Data Backtested Returns
Silver Bullet Data owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0142, which indicates the firm had a -0.0142 % return per unit of risk over the last 3 months. Silver Bullet Data exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Silver Bullet's Coefficient Of Variation of (1,050), variance of 15.18, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of -0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Silver Bullet are expected to decrease at a much lower rate. During the bear market, Silver Bullet is likely to outperform the market. At this point, Silver Bullet Data has a negative expected return of -0.0543%. Please make sure to validate Silver Bullet's value at risk, skewness, and the relationship between the maximum drawdown and potential upside , to decide if Silver Bullet Data performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.11 |
Insignificant reverse predictability
Silver Bullet Data has insignificant reverse predictability. Overlapping area represents the amount of predictability between Silver Bullet time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Silver Bullet Data price movement. The serial correlation of -0.11 indicates that less than 11.0% of current Silver Bullet price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.11 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 2.9 |
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.
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 February 18, 2026 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.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.07) | |||
| Market Risk Adjusted Performance | 1.34 | |||
| Mean Deviation | 2.3 | |||
| Coefficient Of Variation | (1,050) | |||
| Standard Deviation | 3.9 | |||
| Variance | 15.18 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | 1.33 | |||
| Maximum Drawdown | 21.15 | |||
| Value At Risk | (7.32) | |||
| Potential Upside | 7.89 | |||
| Skewness | 0.8785 | |||
| Kurtosis | 3.16 |
Silver Bullet February 18, 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 Silver 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 | 0.10 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 19.00 | ||
| Day Typical Price | 19.00 | ||
| Price Action Indicator | (0.50) | ||
| Market Facilitation Index | 2.00 |
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.