Computer Modelling Group Stock Technical Analysis
| CMDXF Stock | USD 3.26 0.14 4.12% |
As of the 5th of February, Computer Modelling shows the Risk Adjusted Performance of (0.05), standard deviation of 1.87, and Mean Deviation of 1.4. Computer Modelling technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Computer Modelling standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and kurtosis to decide if Computer Modelling is priced correctly, providing market reflects its regular price of 3.26 per share. Given that Computer Modelling has information ratio of (0.1), we suggest you to validate Computer Modelling Group's prevailing market performance to make sure the company can sustain itself at a future point.
Computer Modelling Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Computer, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ComputerComputer |
Computer Modelling '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 Computer Modelling'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 Computer Modelling.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Computer Modelling on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding Computer Modelling Group or generate 0.0% return on investment in Computer Modelling over 90 days. Computer Modelling is related to or competes with Pexip Holding, IVU Traffic, Mango Capital, Smart Eye, Text SA, Nanofilm Technologies, and Automatic Bank. Computer Modelling Group Ltd., a computer software technology company, develops and licenses reservoir simulation softwa... More
Computer Modelling 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 Computer Modelling'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 Computer Modelling Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 9.43 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 3.01 |
Computer Modelling Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Computer Modelling's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Computer Modelling's standard deviation. In reality, there are many statistical measures that can use Computer Modelling historical prices to predict the future Computer Modelling's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (2.96) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Computer Modelling'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.
Computer Modelling February 5, 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 | (0.05) | |||
| Market Risk Adjusted Performance | (2.95) | |||
| Mean Deviation | 1.4 | |||
| Coefficient Of Variation | (1,380) | |||
| Standard Deviation | 1.87 | |||
| Variance | 3.48 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (2.96) | |||
| Maximum Drawdown | 9.43 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 3.01 | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.4062 |
Computer Modelling Backtested Returns
Computer Modelling secures Sharpe Ratio (or Efficiency) of -0.0724, which signifies that the company had a -0.0724 % return per unit of risk over the last 3 months. Computer Modelling Group exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Computer Modelling's Standard Deviation of 1.87, mean deviation of 1.4, and Risk Adjusted Performance of (0.05) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.049, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Computer Modelling's returns are expected to increase less than the market. However, during the bear market, the loss of holding Computer Modelling is expected to be smaller as well. At this point, Computer Modelling has a negative expected return of -0.14%. Please make sure to confirm Computer Modelling's treynor ratio, as well as the relationship between the kurtosis and day median price , to decide if Computer Modelling performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.47 |
Modest reverse predictability
Computer Modelling Group has modest reverse predictability. Overlapping area represents the amount of predictability between Computer Modelling time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 Computer Modelling price movement. The serial correlation of -0.47 indicates that about 47.0% of current Computer Modelling price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Computer Modelling 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.
Computer Modelling Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Computer Modelling volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Computer Modelling 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 Computer Modelling 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 Computer Modelling Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Computer Modelling price pattern first instead of the macroeconomic environment surrounding Computer Modelling. By analyzing Computer Modelling'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 Computer Modelling'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 Computer Modelling specific price patterns or momentum indicators. Please read more on our technical analysis page.
Computer Modelling February 5, 2026 Technical Indicators
Most technical analysis of Computer 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 Computer from various momentum indicators to cycle indicators. When you analyze Computer 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 | (0.05) | |||
| Market Risk Adjusted Performance | (2.95) | |||
| Mean Deviation | 1.4 | |||
| Coefficient Of Variation | (1,380) | |||
| Standard Deviation | 1.87 | |||
| Variance | 3.48 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (2.96) | |||
| Maximum Drawdown | 9.43 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 3.01 | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.4062 |
Computer Modelling February 5, 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 Computer 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 | 2,606 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.96 | ||
| Day Median Price | 3.32 | ||
| Day Typical Price | 3.30 | ||
| Price Action Indicator | (0.13) |
Complementary Tools for Computer Pink Sheet analysis
When running Computer Modelling's price analysis, check to measure Computer Modelling'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 Computer Modelling is operating at the current time. Most of Computer Modelling's value examination focuses on studying past and present price action to predict the probability of Computer Modelling's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Computer Modelling's price. Additionally, you may evaluate how the addition of Computer Modelling to your portfolios can decrease your overall portfolio volatility.
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