Datametrex Ai Stock Market Value
| DM Stock | CAD 0.01 0.00 0.00% |
| Symbol | Datametrex |
Datametrex AI Price To Book Ratio
Datametrex '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 Datametrex'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 Datametrex.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Datametrex on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Datametrex AI or generate 0.0% return on investment in Datametrex over 30 days. Datametrex AI Limited provides big data and artificial intelligence services primarily in Canada More
Datametrex 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 Datametrex'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 Datametrex AI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 46.02 | |||
| Information Ratio | 0.0987 | |||
| Maximum Drawdown | 150.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 |
Datametrex Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datametrex's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datametrex's standard deviation. In reality, there are many statistical measures that can use Datametrex historical prices to predict the future Datametrex's volatility.| Risk Adjusted Performance | 0.0886 | |||
| Jensen Alpha | 3.38 | |||
| Total Risk Alpha | (1.75) | |||
| Sortino Ratio | 0.0685 | |||
| Treynor Ratio | (3.61) |
Datametrex AI Backtested Returns
Datametrex is out of control given 3 months investment horizon. Datametrex AI secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the company had a 0.11% return per unit of risk over the last 3 months. We were able to interpolate twenty-eight different technical indicators, which can help you to evaluate if expected returns of 3.44% are justified by taking the suggested risk. Use Datametrex Downside Deviation of 46.02, mean deviation of 17.39, and Coefficient Of Variation of 972.37 to evaluate company specific risk that cannot be diversified away. Datametrex holds a performance score of 8 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -0.91, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Datametrex are expected to decrease slowly. On the other hand, during market turmoil, Datametrex is expected to outperform it slightly. Use Datametrex maximum drawdown and the relationship between the semi variance and market facilitation index , to analyze future returns on Datametrex.
Auto-correlation | 0.00 |
No correlation between past and present
Datametrex AI has no correlation between past and present. Overlapping area represents the amount of predictability between Datametrex time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Datametrex AI price movement. The serial correlation of 0.0 indicates that just 0.0% of current Datametrex price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Datametrex AI lagged returns against current returns
Autocorrelation, which is Datametrex 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 Datametrex's stock expected returns. We can calculate the autocorrelation of Datametrex returns to help us make a trade decision. For example, suppose you find that Datametrex 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 |
Datametrex 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 Datametrex stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Datametrex stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Datametrex stock over time.
Current vs Lagged Prices |
| Timeline |
Datametrex Lagged Returns
When evaluating Datametrex's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Datametrex stock have on its future price. Datametrex 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, Datametrex autocorrelation shows the relationship between Datametrex stock current value and its past values and can show if there is a momentum factor associated with investing in Datametrex AI.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Datametrex Stock Analysis
When running Datametrex's price analysis, check to measure Datametrex'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 Datametrex is operating at the current time. Most of Datametrex's value examination focuses on studying past and present price action to predict the probability of Datametrex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datametrex's price. Additionally, you may evaluate how the addition of Datametrex to your portfolios can decrease your overall portfolio volatility.