As of the 19th of February, Data Communications shows the Downside Deviation of 2.68, mean deviation of 2.01, and Coefficient Of Variation of 1454.61. 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 firm's future prices.
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 Data
Data
Data Communications' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
It's important to distinguish between Data Communications' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Data Communications should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Data Communications' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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' 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.
0.00
11/21/2025
No Change 0.00
0.0
In 3 months and 1 day
02/19/2026
0.00
If you would invest 0.00 in Data Communications on November 21, 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 GDI Integrated, K-Bro Linen, Chorus Aviation, Algoma Central, Diversified Royalty, Ag Growth, and Wajax. DATA Communications Management Corp. provides business communication solutions in North America 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' 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.
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.
As of now, Data Stock is very risky. Data Communications secures Sharpe Ratio (or Efficiency) of 0.0468, which denotes the company had a 0.0468 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Data Communications Management, which you can use to evaluate the volatility of the firm. Please confirm Data Communications' Coefficient Of Variation of 1454.61, mean deviation of 2.01, and Downside Deviation of 2.68 to check if the risk estimate we provide is consistent with the expected return of 0.13%. Data Communications has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.36, 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. Data Communications right now shows a risk of 2.76%. Please confirm Data Communications expected short fall, day median price, and the relationship between the potential upside and accumulation distribution , to decide if Data Communications will be following its price patterns.
Auto-correlation
0.08
Virtually no predictability
Data Communications Management has virtually no predictability. Overlapping area represents the amount of predictability between Data Communications time series from 21st of November 2025 to 5th of January 2026 and 5th of January 2026 to 19th 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 Data Communications price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Data Communications price fluctuation can be explain by its past prices.
Correlation Coefficient
0.08
Spearman Rank Test
-0.09
Residual Average
0.0
Price Variance
0.02
Data Communications technical 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, stock market cycles, or different charting patterns.
A focus of Data Communications technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Data Communications trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...
Data Communications 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 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 company, 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 February 19, 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.
Data Communications February 19, 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.
Data Communications financial ratios help investors to determine whether Data Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Data with respect to the benefits of owning Data Communications security.