Sienna Resources Stock Technical Analysis
SNNAF Stock | USD 0.02 0 12.65% |
As of the 25th of November, Sienna Resources has the Variance of 61.81, risk adjusted performance of (0.04), and Coefficient Of Variation of (1,445). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sienna Resources, as well as the relationship between them. Please validate Sienna Resources information ratio, as well as the relationship between the value at risk and kurtosis to decide if Sienna Resources is priced more or less accurately, providing market reflects its prevalent price of 0.0214 per share. As Sienna Resources appears to be a penny stock we also recommend to double-check its jensen alpha numbers.
Sienna Resources Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sienna, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SiennaSienna |
Sienna Resources 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.
Sienna Resources Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Sienna Resources volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sienna Resources Trend Analysis
Use this graph to draw trend lines for Sienna Resources. You can use it to identify possible trend reversals for Sienna Resources 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 Sienna Resources price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sienna Resources Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sienna Resources applied against its price change over selected period. The best fit line has a slop of 0.0001 , which may suggest that Sienna Resources 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 Sienna Resources price change compared to its average price change.About Sienna Resources 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 Sienna Resources 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 Sienna Resources based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sienna Resources price pattern first instead of the macroeconomic environment surrounding Sienna Resources. By analyzing Sienna Resources'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 Sienna Resources'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 Sienna Resources specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sienna Resources November 25, 2024 Technical Indicators
Most technical analysis of Sienna 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 Sienna from various momentum indicators to cycle indicators. When you analyze Sienna 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 | (0.04) | |||
Market Risk Adjusted Performance | 0.2448 | |||
Mean Deviation | 4.91 | |||
Coefficient Of Variation | (1,445) | |||
Standard Deviation | 7.86 | |||
Variance | 61.81 | |||
Information Ratio | (0.09) | |||
Jensen Alpha | (0.27) | |||
Total Risk Alpha | (1.79) | |||
Treynor Ratio | 0.2348 | |||
Maximum Drawdown | 54.96 | |||
Value At Risk | (12.65) | |||
Potential Upside | 12.55 | |||
Skewness | 0.9038 | |||
Kurtosis | 5.8 |
Complementary Tools for Sienna Pink Sheet analysis
When running Sienna Resources' price analysis, check to measure Sienna Resources' 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 Sienna Resources is operating at the current time. Most of Sienna Resources' value examination focuses on studying past and present price action to predict the probability of Sienna Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sienna Resources' price. Additionally, you may evaluate how the addition of Sienna Resources to your portfolios can decrease your overall portfolio volatility.
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Stocks Directory Find actively traded stocks across global markets |