Solid State (UK) Technical Analysis
| SOLI Stock | 127.50 2.50 1.92% |
As of the 22nd of December, Solid State has the Variance of 32.37, coefficient of variation of (702.91), and Risk Adjusted Performance of (0.10). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Solid State Plc, as well as the relationship between them. Please validate Solid State Plc value at risk, skewness, and the relationship between the maximum drawdown and potential upside to decide if Solid State is priced more or less accurately, providing market reflects its prevalent price of 127.5 per share.
Solid State Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Solid, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SolidSolid |
Solid State 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.
Solid State Plc Technical Analysis
The output start index for this execution was twenty with a total number of output elements of fourty-one. 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 Solid State Plc volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Solid State Plc Trend Analysis
Use this graph to draw trend lines for Solid State Plc. You can use it to identify possible trend reversals for Solid State 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 Solid State price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Solid State Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Solid State Plc applied against its price change over selected period. The best fit line has a slop of 2.82 , which may suggest that Solid State Plc market price will keep on failing further. It has 122 observation points and a regression sum of squares at 300030.39, which is the sum of squared deviations for the predicted Solid State price change compared to its average price change.About Solid State 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 Solid State Plc 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 Solid State Plc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Solid State Plc price pattern first instead of the macroeconomic environment surrounding Solid State Plc. By analyzing Solid State'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 Solid State'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 Solid State specific price patterns or momentum indicators. Please read more on our technical analysis page.
Solid State December 22, 2024 Technical Indicators
Most technical analysis of Solid 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 Solid from various momentum indicators to cycle indicators. When you analyze Solid 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 | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.10) | |||
| Market Risk Adjusted Performance | (2.71) | |||
| Mean Deviation | 3.09 | |||
| Coefficient Of Variation | (702.91) | |||
| Standard Deviation | 5.69 | |||
| Variance | 32.37 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.83) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (2.72) | |||
| Maximum Drawdown | 47.0 | |||
| Value At Risk | (7.19) | |||
| Potential Upside | 4.55 | |||
| Skewness | (3.19) | |||
| Kurtosis | 20.93 |
Additional Tools for Solid Stock Analysis
When running Solid State's price analysis, check to measure Solid State'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 Solid State is operating at the current time. Most of Solid State's value examination focuses on studying past and present price action to predict the probability of Solid State's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solid State's price. Additionally, you may evaluate how the addition of Solid State to your portfolios can decrease your overall portfolio volatility.