A Schulman Stock Technical Analysis
| SLMNP Stock | USD 935.00 4.25 0.46% |
As of the 30th of November, A Schulman shows the Coefficient Of Variation of 1342.14, mean deviation of 1.24, and Semi Deviation of 2.09. Compared to fundamental indicators, the technical analysis model gives you tools to check timely technical drivers of A Schulman, as well as the relationship between them.
A Schulman Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SLMNP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SLMNPSLMNP |
A Schulman 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.
A Schulman 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 A Schulman volatility. High ATR values indicate high volatility, and low values indicate low volatility.
A Schulman Trend Analysis
Use this graph to draw trend lines for A Schulman. You can use it to identify possible trend reversals for A Schulman 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 A Schulman price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.A Schulman Best Fit Change Line
The following chart estimates an ordinary least squares regression model for A Schulman applied against its price change over selected period. The best fit line has a slop of 0.20 , which means A Schulman will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1582.63, which is the sum of squared deviations for the predicted A Schulman price change compared to its average price change.About A Schulman 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 A Schulman 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 A Schulman based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on A Schulman price pattern first instead of the macroeconomic environment surrounding A Schulman. By analyzing A Schulman'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 A Schulman'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 A Schulman specific price patterns or momentum indicators. Please read more on our technical analysis page.
A Schulman November 30, 2024 Technical Indicators
Most technical analysis of SLMNP 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 SLMNP from various momentum indicators to cycle indicators. When you analyze SLMNP 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 | 0.0645 | |||
| Market Risk Adjusted Performance | 0.6089 | |||
| Mean Deviation | 1.24 | |||
| Semi Deviation | 2.09 | |||
| Downside Deviation | 4.53 | |||
| Coefficient Of Variation | 1342.14 | |||
| Standard Deviation | 3.11 | |||
| Variance | 9.67 | |||
| Information Ratio | 0.0303 | |||
| Jensen Alpha | 0.1745 | |||
| Total Risk Alpha | (0.30) | |||
| Sortino Ratio | 0.0208 | |||
| Treynor Ratio | 0.5989 | |||
| Maximum Drawdown | 30.93 | |||
| Value At Risk | (1.92) | |||
| Potential Upside | 1.63 | |||
| Downside Variance | 20.53 | |||
| Semi Variance | 4.37 | |||
| Expected Short fall | (2.48) | |||
| Skewness | 1.34 | |||
| Kurtosis | 19.75 |
A Schulman November 30, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SLMNP stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 935.00 | ||
| Day Typical Price | 935.00 | ||
| Price Action Indicator | 2.13 |
Additional Tools for SLMNP Pink Sheet Analysis
When running A Schulman's price analysis, check to measure A Schulman'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 A Schulman is operating at the current time. Most of A Schulman's value examination focuses on studying past and present price action to predict the probability of A Schulman's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move A Schulman's price. Additionally, you may evaluate how the addition of A Schulman to your portfolios can decrease your overall portfolio volatility.