Strattner Financial Group Stock Technical Analysis
| SCNG Stock | USD 0.0002 0.00 0.00% |
As of the 1st of December, Strattner Financial has the Risk Adjusted Performance of 0.0513, coefficient of variation of 1827.74, and Variance of 191.72. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Strattner Financial, as well as the relationship between them. Please validate Strattner Financial risk adjusted performance, standard deviation, as well as the relationship between the Standard Deviation and maximum drawdown to decide if Strattner Financial is priced more or less accurately, providing market reflects its prevalent price of 2.0E-4 per share. As Strattner Financial appears to be a penny stock we also recommend to double-check its information ratio numbers.
Strattner Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Strattner, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StrattnerStrattner |
Strattner Financial 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.
Strattner Financial Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-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 Strattner Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Strattner Financial Trend Analysis
Use this graph to draw trend lines for Strattner Financial Group. You can use it to identify possible trend reversals for Strattner Financial 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 Strattner Financial price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Strattner Financial Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Strattner Financial Group applied against its price change over selected period. The best fit line has a slop of 0.0000026 , which means Strattner Financial Group 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 Strattner Financial price change compared to its average price change.About Strattner Financial 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 Strattner Financial Group 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 Strattner Financial Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Strattner Financial price pattern first instead of the macroeconomic environment surrounding Strattner Financial. By analyzing Strattner Financial'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 Strattner Financial'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 Strattner Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Strattner Financial December 1, 2024 Technical Indicators
Most technical analysis of Strattner 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 Strattner from various momentum indicators to cycle indicators. When you analyze Strattner 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 | 0.0513 | |||
| Market Risk Adjusted Performance | 0.223 | |||
| Mean Deviation | 3.01 | |||
| Coefficient Of Variation | 1827.74 | |||
| Standard Deviation | 13.85 | |||
| Variance | 191.72 | |||
| Information Ratio | 0.0448 | |||
| Jensen Alpha | 0.2997 | |||
| Total Risk Alpha | (1.56) | |||
| Treynor Ratio | 0.213 | |||
| Maximum Drawdown | 100.0 | |||
| Skewness | 5.06 | |||
| Kurtosis | 44.43 |
Complementary Tools for Strattner Pink Sheet analysis
When running Strattner Financial's price analysis, check to measure Strattner Financial'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 Strattner Financial is operating at the current time. Most of Strattner Financial's value examination focuses on studying past and present price action to predict the probability of Strattner Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Strattner Financial's price. Additionally, you may evaluate how the addition of Strattner Financial to your portfolios can decrease your overall portfolio volatility.
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