Disposition of 299 shares by Amit Agarwal of Datadog at 149.1202 subject to Rule 16b-3
3QD Stock | EUR 136.02 1.88 1.40% |
Roughly 53% of Datadog's stockholders are presently thinking to get in. The analysis of current outlook of investing in Datadog suggests that some traders are interested regarding Datadog's prospects. The current market sentiment, together with Datadog's historical and current headlines, can help investors time the market. In addition, many technical investors use Datadog stock news signals to limit their universe of possible portfolio assets.
Datadog stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Datadog daily returns and investor perception about the current price of Datadog as well as its diversification or hedging effects on your existing portfolios.
Datadog |
Filed transaction by Datadog Officer President. Disposition to the issuer of issuer equity securities pursuant to Rule 16b-3
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Datadog Fundamental Analysis
We analyze Datadog's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datadog using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datadog based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Z Score
Z Score Comparative Analysis
Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
Datadog Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Datadog stock to make a market-neutral strategy. Peer analysis of Datadog could also be used in its relative valuation, which is a method of valuing Datadog by comparing valuation metrics with similar companies.
Peers
Datadog Related Equities
G1MN | Globex Mining | 5.62 | ||||
DC7 | Discover Financial | 5.08 | ||||
0VF | Virtu Financial | 3.35 | ||||
W8V | BANK OF CHINA | 2.13 | ||||
MQ8 | MAG SILVER | 2.17 |
Complementary Tools for Datadog Stock analysis
When running Datadog's price analysis, check to measure Datadog'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 Datadog is operating at the current time. Most of Datadog's value examination focuses on studying past and present price action to predict the probability of Datadog's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datadog's price. Additionally, you may evaluate how the addition of Datadog to your portfolios can decrease your overall portfolio volatility.
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