Datalogic (UK) Market Value
| 0E3C Stock | 5.19 0.15 2.98% |
| Symbol | Datalogic |
Datalogic '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 Datalogic'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 Datalogic.
| 06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Datalogic on June 2, 2024 and sell it all today you would earn a total of 0.00 from holding Datalogic or generate 0.0% return on investment in Datalogic over 180 days. Datalogic is related to or competes with Neometals, Coor Service, Aeorema Communications, JLEN Environmental, Power Metal, GoldMining, and Eastinco Mining. Datalogic is entity of United Kingdom. It is traded as Stock on LSE exchange. More
Datalogic 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 Datalogic'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 Datalogic upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.41) | |||
| Maximum Drawdown | 7.33 | |||
| Value At Risk | (2.18) | |||
| Potential Upside | 1.63 |
Datalogic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datalogic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datalogic's standard deviation. In reality, there are many statistical measures that can use Datalogic historical prices to predict the future Datalogic's volatility.| Risk Adjusted Performance | (0.24) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.62) | |||
| Treynor Ratio | 1.53 |
Datalogic Backtested Returns
Datalogic secures Sharpe Ratio (or Efficiency) of -0.31, which denotes the company had a -0.31% return per unit of risk over the last 3 months. Datalogic exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Datalogic's Mean Deviation of 0.9892, variance of 1.74, and Standard Deviation of 1.32 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.28, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Datalogic are expected to decrease at a much lower rate. During the bear market, Datalogic is likely to outperform the market. At this point, Datalogic has a negative expected return of -0.42%. Please make sure to confirm Datalogic's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if Datalogic performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.81 |
Excellent reverse predictability
Datalogic has excellent reverse predictability. Overlapping area represents the amount of predictability between Datalogic time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th 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 Datalogic price movement. The serial correlation of -0.81 indicates that around 81.0% of current Datalogic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Datalogic lagged returns against current returns
Autocorrelation, which is Datalogic 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 Datalogic's stock expected returns. We can calculate the autocorrelation of Datalogic returns to help us make a trade decision. For example, suppose you find that Datalogic 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 |
Datalogic 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 Datalogic stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Datalogic stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Datalogic stock over time.
Current vs Lagged Prices |
| Timeline |
Datalogic Lagged Returns
When evaluating Datalogic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Datalogic stock have on its future price. Datalogic 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, Datalogic autocorrelation shows the relationship between Datalogic stock current value and its past values and can show if there is a momentum factor associated with investing in Datalogic.
Regressed Prices |
| Timeline |
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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.Additional Tools for Datalogic Stock Analysis
When running Datalogic's price analysis, check to measure Datalogic'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 Datalogic is operating at the current time. Most of Datalogic's value examination focuses on studying past and present price action to predict the probability of Datalogic's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datalogic's price. Additionally, you may evaluate how the addition of Datalogic to your portfolios can decrease your overall portfolio volatility.