Simulated Environmen Stock Technical Analysis
| SMEV Stock | USD 0.01 0 15.15% |
As of the 31st of January, Simulated Environmen has the Coefficient Of Variation of 8722.44, semi deviation of 5.85, and Risk Adjusted Performance of 0.0174. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simulated Environmen, as well as the relationship between them. Please validate Simulated Environmen standard deviation, value at risk, as well as the relationship between the Value At Risk and kurtosis to decide if Simulated Environmen is priced more or less accurately, providing market reflects its prevalent price of 0.0056 per share. As Simulated Environmen appears to be a penny stock we also recommend to double-check its total risk alpha numbers.
Simulated Environmen Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Simulated, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimulatedSimulated |
Simulated Environmen '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 Simulated Environmen'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 Simulated Environmen.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Simulated Environmen on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Simulated Environmen or generate 0.0% return on investment in Simulated Environmen over 90 days. Simulated Environmen is related to or competes with First America, and Wright Investors. Simulated Environment Concepts, Inc. engages in the development and manufacture of medical, health, and wellness equipme... More
Simulated Environmen 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 Simulated Environmen'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 Simulated Environmen upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 12.04 | |||
| Information Ratio | 0.0033 | |||
| Maximum Drawdown | 46.69 | |||
| Value At Risk | (6.33) | |||
| Potential Upside | 12.0 |
Simulated Environmen Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simulated Environmen's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simulated Environmen's standard deviation. In reality, there are many statistical measures that can use Simulated Environmen historical prices to predict the future Simulated Environmen's volatility.| Risk Adjusted Performance | 0.0174 | |||
| Jensen Alpha | 0.1485 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | 0.002 | |||
| Treynor Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simulated Environmen's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Simulated Environmen January 31, 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 | 0.0174 | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 3.06 | |||
| Semi Deviation | 5.85 | |||
| Downside Deviation | 12.04 | |||
| Coefficient Of Variation | 8722.44 | |||
| Standard Deviation | 7.48 | |||
| Variance | 55.89 | |||
| Information Ratio | 0.0033 | |||
| Jensen Alpha | 0.1485 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | 0.002 | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 46.69 | |||
| Value At Risk | (6.33) | |||
| Potential Upside | 12.0 | |||
| Downside Variance | 144.94 | |||
| Semi Variance | 34.17 | |||
| Expected Short fall | (10.17) | |||
| Skewness | (0.84) | |||
| Kurtosis | 12.31 |
Simulated Environmen Backtested Returns
Simulated Environmen owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the firm had a close to zero % return per unit of risk over the last 3 months. Simulated Environmen exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Simulated Environmen's Risk Adjusted Performance of 0.0174, coefficient of variation of 8722.44, and Semi Deviation of 5.85 to confirm the risk estimate we provide. The entity has a beta of -1.42, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Simulated Environmen are expected to decrease by larger amounts. On the other hand, during market turmoil, Simulated Environmen is expected to outperform it. At this point, Simulated Environmen has a negative expected return of -0.0497%. Please make sure to validate Simulated Environmen's value at risk, as well as the relationship between the kurtosis and relative strength index , to decide if Simulated Environmen performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.26 |
Weak reverse predictability
Simulated Environmen has weak reverse predictability. Overlapping area represents the amount of predictability between Simulated Environmen time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Simulated Environmen price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Simulated Environmen price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Simulated Environmen 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.
Simulated Environmen Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Simulated Environmen volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Simulated Environmen 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 Simulated Environmen 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 Simulated Environmen based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Simulated Environmen price pattern first instead of the macroeconomic environment surrounding Simulated Environmen. By analyzing Simulated Environmen'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 Simulated Environmen'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 Simulated Environmen specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simulated Environmen January 31, 2026 Technical Indicators
Most technical analysis of Simulated 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 Simulated from various momentum indicators to cycle indicators. When you analyze Simulated 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 | 0.0174 | |||
| Market Risk Adjusted Performance | (0.04) | |||
| Mean Deviation | 3.06 | |||
| Semi Deviation | 5.85 | |||
| Downside Deviation | 12.04 | |||
| Coefficient Of Variation | 8722.44 | |||
| Standard Deviation | 7.48 | |||
| Variance | 55.89 | |||
| Information Ratio | 0.0033 | |||
| Jensen Alpha | 0.1485 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | 0.002 | |||
| Treynor Ratio | (0.05) | |||
| Maximum Drawdown | 46.69 | |||
| Value At Risk | (6.33) | |||
| Potential Upside | 12.0 | |||
| Downside Variance | 144.94 | |||
| Semi Variance | 34.17 | |||
| Expected Short fall | (10.17) | |||
| Skewness | (0.84) | |||
| Kurtosis | 12.31 |
Simulated Environmen January 31, 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 Simulated 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 | 0.85 | ||
| Day Median Price | 0.01 | ||
| Day Typical Price | 0.01 | ||
| Price Action Indicator | 0.00 |
Additional Tools for Simulated Pink Sheet Analysis
When running Simulated Environmen's price analysis, check to measure Simulated Environmen'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 Simulated Environmen is operating at the current time. Most of Simulated Environmen's value examination focuses on studying past and present price action to predict the probability of Simulated Environmen's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Simulated Environmen's price. Additionally, you may evaluate how the addition of Simulated Environmen to your portfolios can decrease your overall portfolio volatility.