Data Communications Management Stock Technical Analysis
| DCMDF Stock | USD 1.23 0.09 6.82% |
As of the 31st of January, DATA Communications shows the Mean Deviation of 2.42, downside deviation of 4.34, and Market Risk Adjusted Performance of 0.6287. DATA Communications technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to break down nineteen technical drivers for DATA Communications Management, which can be compared to its peers. Please confirm DATA Communications treynor ratio, as well as the relationship between the potential upside and expected short fall to decide if DATA Communications is priced adequately, providing market reflects its regular price of 1.23 per share. Given that DATA Communications is a hitting penny stock territory we advise to closely look at its total risk alpha.
DATA Communications Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DATA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DATADATA |
DATA Communications '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 DATA Communications' otc stock 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 DATA Communications.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in DATA Communications on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding DATA Communications Management or generate 0.0% return on investment in DATA Communications over 90 days. DATA Communications is related to or competes with Water Intelligence, Agfa Gevaert, BQE Water, Cebu Air, Manolete Partners, Lead Innovation, and AsiaFIN Holdings. DATA Communications Management Corp. provides marketing and workflow solutions that solve the complex branding, communic... More
DATA Communications 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 DATA Communications' otc stock 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 DATA Communications Management upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.34 | |||
| Information Ratio | 0.1053 | |||
| Maximum Drawdown | 19.1 | |||
| Value At Risk | (6.80) | |||
| Potential Upside | 7.07 |
DATA Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DATA Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DATA Communications' standard deviation. In reality, there are many statistical measures that can use DATA Communications historical prices to predict the future DATA Communications' volatility.| Risk Adjusted Performance | 0.0968 | |||
| Jensen Alpha | 0.3935 | |||
| Total Risk Alpha | 0.1755 | |||
| Sortino Ratio | 0.0871 | |||
| Treynor Ratio | 0.6187 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DATA Communications' 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.
DATA Communications 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 | 0.0968 | |||
| Market Risk Adjusted Performance | 0.6287 | |||
| Mean Deviation | 2.42 | |||
| Semi Deviation | 2.68 | |||
| Downside Deviation | 4.34 | |||
| Coefficient Of Variation | 817.18 | |||
| Standard Deviation | 3.59 | |||
| Variance | 12.88 | |||
| Information Ratio | 0.1053 | |||
| Jensen Alpha | 0.3935 | |||
| Total Risk Alpha | 0.1755 | |||
| Sortino Ratio | 0.0871 | |||
| Treynor Ratio | 0.6187 | |||
| Maximum Drawdown | 19.1 | |||
| Value At Risk | (6.80) | |||
| Potential Upside | 7.07 | |||
| Downside Variance | 18.8 | |||
| Semi Variance | 7.16 | |||
| Expected Short fall | (3.91) | |||
| Skewness | 0.2709 | |||
| Kurtosis | 1.99 |
DATA Communications Backtested Returns
DATA Communications appears to be dangerous, given 3 months investment horizon. DATA Communications secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the company had a 0.15 % return per unit of volatility over the last 3 months. By examining DATA Communications' technical indicators, you can evaluate if the expected return of 0.52% is justified by implied risk. Please utilize DATA Communications' Market Risk Adjusted Performance of 0.6287, downside deviation of 4.34, and Mean Deviation of 2.42 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, DATA Communications holds a performance score of 11. The firm shows a Beta (market volatility) of 0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, DATA Communications' returns are expected to increase less than the market. However, during the bear market, the loss of holding DATA Communications is expected to be smaller as well. Please check DATA Communications' treynor ratio, expected short fall, price action indicator, as well as the relationship between the potential upside and rate of daily change , to make a quick decision on whether DATA Communications' price patterns will revert.
Auto-correlation | 0.29 |
Poor predictability
DATA Communications Management has poor predictability. Overlapping area represents the amount of predictability between DATA Communications 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 DATA Communications price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current DATA Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DATA Communications technical otc stock 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, otc market cycles, or different charting patterns.
DATA Communications 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 DATA Communications volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About DATA Communications 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 DATA Communications Management 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 DATA Communications Management based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on DATA Communications price pattern first instead of the macroeconomic environment surrounding DATA Communications. By analyzing DATA Communications'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 DATA Communications'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 DATA Communications specific price patterns or momentum indicators. Please read more on our technical analysis page.
DATA Communications January 31, 2026 Technical Indicators
Most technical analysis of DATA 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 DATA from various momentum indicators to cycle indicators. When you analyze DATA 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 | 0.0968 | |||
| Market Risk Adjusted Performance | 0.6287 | |||
| Mean Deviation | 2.42 | |||
| Semi Deviation | 2.68 | |||
| Downside Deviation | 4.34 | |||
| Coefficient Of Variation | 817.18 | |||
| Standard Deviation | 3.59 | |||
| Variance | 12.88 | |||
| Information Ratio | 0.1053 | |||
| Jensen Alpha | 0.3935 | |||
| Total Risk Alpha | 0.1755 | |||
| Sortino Ratio | 0.0871 | |||
| Treynor Ratio | 0.6187 | |||
| Maximum Drawdown | 19.1 | |||
| Value At Risk | (6.80) | |||
| Potential Upside | 7.07 | |||
| Downside Variance | 18.8 | |||
| Semi Variance | 7.16 | |||
| Expected Short fall | (3.91) | |||
| Skewness | 0.2709 | |||
| Kurtosis | 1.99 |
DATA Communications 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 DATA 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 | 0.93 | ||
| Day Median Price | 1.23 | ||
| Day Typical Price | 1.23 | ||
| Price Action Indicator | (0.05) |
Complementary Tools for DATA OTC Stock analysis
When running DATA Communications' price analysis, check to measure DATA Communications' 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 DATA Communications is operating at the current time. Most of DATA Communications' value examination focuses on studying past and present price action to predict the probability of DATA Communications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DATA Communications' price. Additionally, you may evaluate how the addition of DATA Communications to your portfolios can decrease your overall portfolio volatility.
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