Schiehallion (UK) Technical Analysis
| MNTN Stock | 1.09 0.01 0.91% |
As of the 27th of December, Schiehallion has the Coefficient Of Variation of 447.04, risk adjusted performance of 0.1849, and Semi Deviation of 0.7077. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Schiehallion, as well as the relationship between them. Please validate Schiehallion variance, jensen alpha, and the relationship between the standard deviation and information ratio to decide if Schiehallion is priced more or less accurately, providing market reflects its prevalent price of 1.09 per share.
Schiehallion Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Schiehallion, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SchiehallionSchiehallion |
Schiehallion 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.
Schiehallion 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 Schiehallion volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Schiehallion Trend Analysis
Use this graph to draw trend lines for Schiehallion. You can use it to identify possible trend reversals for Schiehallion 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 Schiehallion price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Schiehallion Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Schiehallion applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Schiehallion will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.32, which is the sum of squared deviations for the predicted Schiehallion price change compared to its average price change.About Schiehallion 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 Schiehallion 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 Schiehallion based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Schiehallion price pattern first instead of the macroeconomic environment surrounding Schiehallion. By analyzing Schiehallion'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 Schiehallion'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 Schiehallion specific price patterns or momentum indicators. Please read more on our technical analysis page.
Schiehallion December 27, 2024 Technical Indicators
Most technical analysis of Schiehallion 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 Schiehallion from various momentum indicators to cycle indicators. When you analyze Schiehallion 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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| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1849 | |||
| Market Risk Adjusted Performance | 3.09 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 0.7077 | |||
| Downside Deviation | 2.45 | |||
| Coefficient Of Variation | 447.04 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.28 | |||
| Information Ratio | 0.2097 | |||
| Jensen Alpha | 0.5003 | |||
| Total Risk Alpha | 0.44 | |||
| Sortino Ratio | 0.1962 | |||
| Treynor Ratio | 3.08 | |||
| Maximum Drawdown | 13.63 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 7.32 | |||
| Downside Variance | 6.03 | |||
| Semi Variance | 0.5009 | |||
| Expected Short fall | (2.94) | |||
| Skewness | 2.34 | |||
| Kurtosis | 7.36 |
Additional Tools for Schiehallion Stock Analysis
When running Schiehallion's price analysis, check to measure Schiehallion'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 Schiehallion is operating at the current time. Most of Schiehallion's value examination focuses on studying past and present price action to predict the probability of Schiehallion's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schiehallion's price. Additionally, you may evaluate how the addition of Schiehallion to your portfolios can decrease your overall portfolio volatility.