Datadog Stock Market Value
| DDOG Stock | USD 151.96 2.43 1.57% |
| Symbol | Datadog |
Datadog Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Datadog. If investors know Datadog will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Datadog listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 1.333 | Earnings Share 0.55 | Revenue Per Share 7.609 | Quarterly Revenue Growth 0.26 | Return On Assets 0.0111 |
The market value of Datadog is measured differently than its book value, which is the value of Datadog that is recorded on the company's balance sheet. Investors also form their own opinion of Datadog's value that differs from its market value or its book value, called intrinsic value, which is Datadog's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Datadog's market value can be influenced by many factors that don't directly affect Datadog's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Datadog's value and its price as these two are different measures arrived at by different means. Investors typically determine if Datadog is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Datadog's 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.
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.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Datadog on October 29, 2024 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 30 days. Datadog is related to or competes with Shopify, ServiceNow, Unity Software, Snowflake, Workday, Salesforce, and Intuit. 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 | 1.92 | |||
| Information Ratio | 0.1359 | |||
| Maximum Drawdown | 9.06 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 4.39 |
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 | 0.153 | |||
| Jensen Alpha | 0.3106 | |||
| Total Risk Alpha | 0.082 | |||
| Sortino Ratio | 0.1612 | |||
| Treynor Ratio | 0.4287 |
Datadog Backtested Returns
Datadog appears to be very steady, given 3 months investment horizon. Datadog secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the company had a 0.2% 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 Mean Deviation of 1.71, coefficient of variation of 523.71, and Downside Deviation of 1.92 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Datadog holds a performance score of 15. The firm shows a Beta (market volatility) of 0.99, which means possible diversification benefits within a given portfolio. Datadog returns are very sensitive to returns on the market. As the market goes up or down, Datadog is expected to follow. Please check Datadog's semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Datadog's price patterns will revert.
Auto-correlation | -0.04 |
Very weak reverse predictability
Datadog has very weak reverse predictability. Overlapping area represents the amount of predictability between Datadog time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 -0.04 indicates that only as little as 4.0% of current Datadog price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.04 | |
| Spearman Rank Test | -0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 137.37 |
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
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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.