Sarama Resource Stock Technical Analysis
| SWA Stock | CAD 0.03 0.01 16.67% |
As of the 2nd of December, Sarama Resource has the Risk Adjusted Performance of 0.0728, semi deviation of 6.97, and Coefficient Of Variation of 1203.31. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sarama Resource, as well as the relationship between them. Please validate Sarama Resource information ratio, value at risk, as well as the relationship between the Value At Risk and expected short fall to decide if Sarama Resource is priced more or less accurately, providing market reflects its prevalent price of 0.025 per share.
Sarama Resource Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sarama, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SaramaSarama |
Sarama Resource 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.
Sarama Resource Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Sarama Resource volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sarama Resource Trend Analysis
Use this graph to draw trend lines for Sarama Resource. You can use it to identify possible trend reversals for Sarama Resource 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 Sarama Resource price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sarama Resource Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sarama Resource applied against its price change over selected period. The best fit line has a slop of 0.0003 , which means Sarama Resource will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Sarama Resource price change compared to its average price change.About Sarama Resource 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 Sarama Resource 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 Sarama Resource based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sarama Resource price pattern first instead of the macroeconomic environment surrounding Sarama Resource. By analyzing Sarama Resource'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 Sarama Resource'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 Sarama Resource specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | PTB Ratio | 4.65 | 4.88 | Price To Sales Ratio | 78.82 | 82.76 |
Sarama Resource December 2, 2024 Technical Indicators
Most technical analysis of Sarama 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 Sarama from various momentum indicators to cycle indicators. When you analyze Sarama 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 | 0.0728 | |||
| Market Risk Adjusted Performance | (1.03) | |||
| Mean Deviation | 5.94 | |||
| Semi Deviation | 6.97 | |||
| Downside Deviation | 19.89 | |||
| Coefficient Of Variation | 1203.31 | |||
| Standard Deviation | 10.92 | |||
| Variance | 119.19 | |||
| Information Ratio | 0.0705 | |||
| Jensen Alpha | 1.01 | |||
| Total Risk Alpha | (0.93) | |||
| Sortino Ratio | 0.0387 | |||
| Treynor Ratio | (1.04) | |||
| Maximum Drawdown | 58.33 | |||
| Value At Risk | (16.67) | |||
| Potential Upside | 25.0 | |||
| Downside Variance | 395.71 | |||
| Semi Variance | 48.54 | |||
| Expected Short fall | (22.70) | |||
| Skewness | 0.6836 | |||
| Kurtosis | 2.47 |
Additional Tools for Sarama Stock Analysis
When running Sarama Resource's price analysis, check to measure Sarama Resource'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 Sarama Resource is operating at the current time. Most of Sarama Resource's value examination focuses on studying past and present price action to predict the probability of Sarama Resource's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sarama Resource's price. Additionally, you may evaluate how the addition of Sarama Resource to your portfolios can decrease your overall portfolio volatility.