Data Image's market value is the price at which a share of Data Image trades on a public exchange. It measures the collective expectations of Data Image investors about its performance. Data Image is selling for under 41.50 as of the 5th of January 2026; that is 0.48% increase since the beginning of the trading day. The stock's lowest day price was 41.2. With this module, you can estimate the performance of a buy and hold strategy of Data Image and determine expected loss or profit from investing in Data Image over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
Symbol
Data
Data Image '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 Image's 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 Image.
0.00
01/16/2024
No Change 0.00
0.0
In 1 year 11 months and 22 days
01/05/2026
0.00
If you would invest 0.00 in Data Image on January 16, 2024 and sell it all today you would earn a total of 0.00 from holding Data Image or generate 0.0% return on investment in Data Image over 720 days.
Data Image 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 Image's 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 Image 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 Image's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data Image's standard deviation. In reality, there are many statistical measures that can use Data Image historical prices to predict the future Data Image's volatility.
Data Image secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the company had a -0.12 % return per unit of risk over the last 3 months. Data Image exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Data Image's Information Ratio of (0.20), variance of 2.25, and Coefficient Of Variation of (629.48) to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Data Image are completely uncorrelated. At this point, Data Image has a negative expected return of -0.13%. Please make sure to confirm Data Image's total risk alpha, value at risk, accumulation distribution, as well as the relationship between the maximum drawdown and potential upside , to decide if Data Image performance from the past will be repeated at some point in the near future.
Auto-correlation
0.52
Modest predictability
Data Image has modest predictability. Overlapping area represents the amount of predictability between Data Image time series from 16th of January 2024 to 10th of January 2025 and 10th of January 2025 to 5th 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 Image price movement. The serial correlation of 0.52 indicates that about 52.0% of current Data Image price fluctuation can be explain by its past prices.
Correlation Coefficient
0.52
Spearman Rank Test
0.42
Residual Average
0.0
Price Variance
7.63
Data Image lagged returns against current returns
Autocorrelation, which is Data Image stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Data Image's stock expected returns. We can calculate the autocorrelation of Data Image returns to help us make a trade decision. For example, suppose you find that Data Image has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values
Timeline
Data Image regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Data Image stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Data Image stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Data Image stock over time.
Current vs Lagged Prices
Timeline
Data Image Lagged Returns
When evaluating Data Image's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Data Image stock have on its future price. Data Image autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Data Image autocorrelation shows the relationship between Data Image stock current value and its past values and can show if there is a momentum factor associated with investing in Data Image.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When running Data Image's price analysis, check to measure Data Image'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 Data Image is operating at the current time. Most of Data Image's value examination focuses on studying past and present price action to predict the probability of Data Image's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Image's price. Additionally, you may evaluate how the addition of Data Image to your portfolios can decrease your overall portfolio volatility.