A Schulman Stock Technical Analysis
| SLMNP Stock | USD 870.00 3.25 0.37% |
As of the 10th of February, A Schulman shows the Semi Deviation of 0.7073, mean deviation of 0.4439, and Coefficient Of Variation of 4006.82. 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 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to A Schulman's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of A Schulman.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in A Schulman on November 12, 2025 and sell it all today you would earn a total of 0.00 from holding A Schulman or generate 0.0% return on investment in A Schulman over 90 days. A Schulman is related to or competes with Novozymes, Sika AG, Sika AG, Star Phoenix, Ganfeng Lithium, ArcelorMittal, and Northern Star. Schulman, Inc. manufactures and supplies plastic compounds and resins More
A Schulman Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure A Schulman's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess A Schulman upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 1.79 |
A Schulman Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for A Schulman's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as A Schulman's standard deviation. In reality, there are many statistical measures that can use A Schulman historical prices to predict the future A Schulman's volatility.| Risk Adjusted Performance | 0.0214 | |||
| Jensen Alpha | 0.0102 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.3566 |
A Schulman February 10, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0214 | |||
| Market Risk Adjusted Performance | 0.3666 | |||
| Mean Deviation | 0.4439 | |||
| Semi Deviation | 0.7073 | |||
| Downside Deviation | 1.72 | |||
| Coefficient Of Variation | 4006.82 | |||
| Standard Deviation | 0.9308 | |||
| Variance | 0.8664 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | 0.0102 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.3566 | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 1.79 | |||
| Downside Variance | 2.97 | |||
| Semi Variance | 0.5003 | |||
| Expected Short fall | (1.53) | |||
| Skewness | (0.68) | |||
| Kurtosis | 6.66 |
A Schulman Backtested Returns
Currently, A Schulman is very steady. A Schulman secures Sharpe Ratio (or Efficiency) of 0.025, which signifies that the company had a 0.025 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for A Schulman, which you can use to evaluate the volatility of the entity. Please confirm A Schulman's Mean Deviation of 0.4439, semi deviation of 0.7073, and Coefficient Of Variation of 4006.82 to double-check if the risk estimate we provide is consistent with the expected return of 0.0232%. A Schulman has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0371, which signifies not very significant fluctuations relative to the market. As returns on the market increase, A Schulman's returns are expected to increase less than the market. However, during the bear market, the loss of holding A Schulman is expected to be smaller as well. A Schulman today shows a risk of 0.93%. Please confirm A Schulman sortino ratio, downside variance, as well as the relationship between the Downside Variance and rate of daily change , to decide if A Schulman will be following its price patterns.
Auto-correlation | 0.58 |
Modest predictability
A Schulman has modest predictability. Overlapping area represents the amount of predictability between A Schulman time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of A Schulman price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current A Schulman price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 95.95 |
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 one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for A Schulman across different markets.
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 February 10, 2026 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 | 0.0214 | |||
| Market Risk Adjusted Performance | 0.3666 | |||
| Mean Deviation | 0.4439 | |||
| Semi Deviation | 0.7073 | |||
| Downside Deviation | 1.72 | |||
| Coefficient Of Variation | 4006.82 | |||
| Standard Deviation | 0.9308 | |||
| Variance | 0.8664 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | 0.0102 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.3566 | |||
| Maximum Drawdown | 5.8 | |||
| Value At Risk | (1.19) | |||
| Potential Upside | 1.79 | |||
| Downside Variance | 2.97 | |||
| Semi Variance | 0.5003 | |||
| Expected Short fall | (1.53) | |||
| Skewness | (0.68) | |||
| Kurtosis | 6.66 |
A Schulman February 10, 2026 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 | 870.00 | ||
| Day Typical Price | 870.00 | ||
| Price Action Indicator | (1.62) |
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.