Datadog (Germany) Market Value
| 3QD Stock | EUR 127.02 9.92 7.24% |
| Symbol | Datadog |
Datadog '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 Datadog'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 Datadog.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Datadog on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Datadog or generate 0.0% return on investment in Datadog over 720 days. Datadog is related to or competes with Microsoft, NVIDIA, Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, and Talanx AG. Datadog, Inc. provides monitoring and analytics platform for developers, information technology operations teams, and bu... More
Datadog 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 Datadog'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 Datadog upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.89 | |||
| Information Ratio | 0.1006 | |||
| Maximum Drawdown | 9.75 | |||
| Value At Risk | (2.79) | |||
| Potential Upside | 4.11 |
Datadog Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datadog's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datadog's standard deviation. In reality, there are many statistical measures that can use Datadog historical prices to predict the future Datadog's volatility.| Risk Adjusted Performance | 0.1219 | |||
| Jensen Alpha | 0.3162 | |||
| Total Risk Alpha | 0.0351 | |||
| Sortino Ratio | 0.1146 | |||
| Treynor Ratio | 121.73 |
Datadog Backtested Returns
Datadog appears to be very steady, given 3 months investment horizon. Datadog secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the company had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Datadog, which you can use to evaluate the volatility of the firm. Please utilize Datadog's Coefficient Of Variation of 660.75, mean deviation of 1.61, and Downside Deviation of 1.89 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Datadog holds a performance score of 10. The firm shows a Beta (market volatility) of 0.0026, which means not very significant fluctuations relative to the market. As returns on the market increase, Datadog's returns are expected to increase less than the market. However, during the bear market, the loss of holding Datadog is expected to be smaller as well. Please check Datadog's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to make a quick decision on whether Datadog's price patterns will revert.
Auto-correlation | -0.09 |
Very weak reverse predictability
Datadog has very weak reverse predictability. Overlapping area represents the amount of predictability between Datadog time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 Datadog price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Datadog price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 54.76 |
Datadog lagged returns against current returns
Autocorrelation, which is Datadog 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 Datadog's stock expected returns. We can calculate the autocorrelation of Datadog returns to help us make a trade decision. For example, suppose you find that Datadog 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 |
Datadog 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 Datadog stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Datadog stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Datadog stock over time.
Current vs Lagged Prices |
| Timeline |
Datadog Lagged Returns
When evaluating Datadog's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Datadog stock have on its future price. Datadog 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, Datadog autocorrelation shows the relationship between Datadog stock current value and its past values and can show if there is a momentum factor associated with investing in Datadog.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Datadog Stock
When determining whether Datadog is a strong investment it is important to analyze Datadog's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Datadog's future performance. For an informed investment choice regarding Datadog Stock, refer to the following important reports:Check out Datadog Correlation, Datadog Volatility and Datadog Alpha and Beta module to complement your research on Datadog. For more detail on how to invest in Datadog Stock please use our How to Invest in Datadog guide.You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
Datadog 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.