Silver Castle (Israel) Technical Analysis
| SLCL Stock | 577.30 9.10 1.60% |
As of the 14th of December 2024, Silver Castle has the Risk Adjusted Performance of (0.07), coefficient of variation of (907.37), and Variance of 12.32. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Silver Castle Holdings, as well as the relationship between them.
Silver Castle 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 Castle 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 Castle Holdings Technical Analysis
The output start index for this execution was thirty with a total number of output elements of thirty-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 Silver Castle Holdings volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Silver Castle Holdings Trend Analysis
Use this graph to draw trend lines for Silver Castle Holdings. You can use it to identify possible trend reversals for Silver Castle 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 Castle price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Silver Castle Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Silver Castle Holdings applied against its price change over selected period. The best fit line has a slop of 0.7 , which may suggest that Silver Castle Holdings market price will keep on failing further. It has 122 observation points and a regression sum of squares at 18546.08, which is the sum of squared deviations for the predicted Silver Castle price change compared to its average price change.About Silver Castle 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 Castle Holdings 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 Castle Holdings based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Silver Castle Holdings price pattern first instead of the macroeconomic environment surrounding Silver Castle Holdings. By analyzing Silver Castle'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 Castle'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 Castle specific price patterns or momentum indicators. Please read more on our technical analysis page.
Silver Castle December 14, 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.
| 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 | (0.55) | |||
| Mean Deviation | 2.6 | |||
| Coefficient Of Variation | (907.37) | |||
| Standard Deviation | 3.51 | |||
| Variance | 12.32 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.46) | |||
| Total Risk Alpha | (0.83) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 17.18 | |||
| Value At Risk | (7.07) | |||
| Potential Upside | 4.76 | |||
| Skewness | (0.23) | |||
| Kurtosis | 0.5087 |
Complementary Tools for Silver Stock analysis
When running Silver Castle's price analysis, check to measure Silver Castle'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 Castle is operating at the current time. Most of Silver Castle's value examination focuses on studying past and present price action to predict the probability of Silver Castle'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 Castle's price. Additionally, you may evaluate how the addition of Silver Castle to your portfolios can decrease your overall portfolio volatility.
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