Search Minerals Stock Technical Analysis
| SHCMF Stock | USD 0.01 0.02 65.22% |
As of the 27th of November, Search Minerals has the Semi Deviation of 15.48, coefficient of variation of 952.53, and Risk Adjusted Performance of 0.0901. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Search Minerals, as well as the relationship between them. Please validate Search Minerals standard deviation and the relationship between the treynor ratio and kurtosis to decide if Search Minerals is priced more or less accurately, providing market reflects its prevalent price of 0.012 per share. As Search Minerals appears to be a penny stock we also recommend to double-check its total risk alpha numbers.
Search Minerals Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Search, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SearchSearch |
Search Minerals technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Search Minerals Technical Analysis
The output start index for this execution was four with a total number of output elements of fifty-seven. 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 Search Minerals volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Search Minerals Trend Analysis
Use this graph to draw trend lines for Search Minerals. You can use it to identify possible trend reversals for Search Minerals 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 Search Minerals price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Search Minerals Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Search Minerals applied against its price change over selected period. The best fit line has a slop of 0.0003 , which may suggest that Search Minerals market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Search Minerals price change compared to its average price change.About Search Minerals 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 Search Minerals 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 Search Minerals based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Search Minerals price pattern first instead of the macroeconomic environment surrounding Search Minerals. By analyzing Search Minerals'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 Search Minerals'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 Search Minerals specific price patterns or momentum indicators. Please read more on our technical analysis page.
Search Minerals November 27, 2024 Technical Indicators
Most technical analysis of Search 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 Search from various momentum indicators to cycle indicators. When you analyze Search 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0901 | |||
| Market Risk Adjusted Performance | 0.1689 | |||
| Mean Deviation | 22.44 | |||
| Semi Deviation | 15.48 | |||
| Downside Deviation | 40.91 | |||
| Coefficient Of Variation | 952.53 | |||
| Standard Deviation | 68.86 | |||
| Variance | 4741.75 | |||
| Information Ratio | 0.1031 | |||
| Jensen Alpha | 1.75 | |||
| Total Risk Alpha | (3.63) | |||
| Sortino Ratio | 0.1735 | |||
| Treynor Ratio | 0.1589 | |||
| Maximum Drawdown | 571.47 | |||
| Value At Risk | (36.00) | |||
| Potential Upside | 32.14 | |||
| Downside Variance | 1673.6 | |||
| Semi Variance | 239.67 | |||
| Expected Short fall | (128.66) | |||
| Skewness | 6.3 | |||
| Kurtosis | 44.39 |
Complementary Tools for Search Pink Sheet analysis
When running Search Minerals' price analysis, check to measure Search Minerals' 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 Search Minerals is operating at the current time. Most of Search Minerals' value examination focuses on studying past and present price action to predict the probability of Search Minerals' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Search Minerals' price. Additionally, you may evaluate how the addition of Search Minerals to your portfolios can decrease your overall portfolio volatility.
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