MongoDB Story

<div class='circular--portrait' style='background:#754DEB;color: #F0FFF0;font-size:3em;'>MDB</div>
MDB -- USA Stock  

USD 232.09  1.14  0.49%

As many baby boomers are indifferent towards technology space, it makes sense to go over MongoDB against current market trends. As expected, MongoDB is starting to reaffirm its true potential as investors are becoming more and more confident in the future outlook. The returns on investing in MongoDB and the market returns of the last few months appear uncorrelated. Weak basic indicators of the company may also suggest signs of long term losses for MongoDB investors. MongoDB is scheduled to announce its earnings today. The next earnings report is expected on the 14th of December 2020.
Published over three weeks ago
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Will MongoDB (NASDAQ:MDB) price continue to rise in October?
This firm's average rating is Buy from 11 analysts. Do analysts base this consensus on technical analyses? We know that typical technical analysis utilizes price momentum, patterns, and trends looking at historical prices. It aims to identify signals based on MongoDB market sentiment investors' perception of the future value of MongoDB. Let us look at a few aspects of MongoDB technical analysis.
Using predictive technical analysis, we will analyze different prices and returns patterns and diagnose historical swings to determine the real value of MongoDB. In general, we focus on analyzing MongoDB stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build MongoDB's daily price indicators and compare them against related drivers such as momentum indicators and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of MongoDB's intrinsic value. In addition to deriving basic predictive indicators for MongoDB, we also check how macroeconomic factors affect MongoDB price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.

How does MongoDB Stands against Peers?

Analyzing MongoDB competition or peers my help you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Try to analyze the advantages of investing in traded instruments related to MongoDB across multiple sectors and thematic ideas. A good competitive analysis can cover a lot of different areas. But what areas to choose depends on who you are. The more exhaustive you are in your analysis, the more effective your competitive analysis will be.
Check out MongoDB Competition Details

What do experts say?

Stock analysis is a method for investors and traders to make buying and selling decisions. By studying and evaluating past and current data, investors and traders attempt to gain an edge in the markets by making informed decisions. It is good to see analyst projects for MongoDB, but it might be worth checking our own buy vs. sell analysis

Exercise or conversion by Michael Gordon of 10000 shares of MongoDB subject to Rule 16b-3

Legal trades by MongoDB insiders are very common, as founders, directors, or employees of any publicly traded firm often have stock or stock options. These trades are made public in the United States through the filing of Form 4 of the Securities and Exchange Commission. Below entry was recorded recently and is publicly available as an insider trade:
MongoDB insider trading alert for exercise of employee stock option (right to buy) by Michael Gordon, COO and CFO, on 29th of September 2020. This event was filed by Mongodb Inc with SEC on 2020-09-29. Statement of changes in beneficial ownership - SEC Form 4 [view details]   
Note, although insider trading is legal, in the United States, Canada, Australia, and Germany, for mandatory reporting purposes, corporate insiders are defined as a company's officers, directors, and any beneficial owners of more than 10% of a class of the company's equity securities.

Closer look at MongoDB Standard Deviation

MongoDB has current Standard Deviation of 3.38. The Standard Deviation is a measure of how spread out the prices or returns of an asset are on average. It is the most widely used risk indicator in the field of investing and finance. Standard Deviation is commonly used to measure confidence in statistical conclusions regarding certain equity instruments or portfolios of equities.

Standard deviation is applied to the annual rate of return of an investment to measure the investment's volatility. Standard deviation is also known as historical volatility and is used by investors as a gauge for the amount of expected market volatility. A large standard deviation usually indicates that the data points are far from the mean and a small standard deviation indicates that they are clustered closely around the mean.

Standard Deviation 
=  
SQRT(V) 
 = 
3.38
SQRT = Square root notation
V =   Variance of MongoDB returns
Let's now compare MongoDB Standard Deviation to its closest peers:
MDB
FEYE
EVOP
EEFT
EPAY
MDB3.3760544579740825
FEYE3.61
EVOP2.5
EEFT3.33
EPAY2.3

Our perspective of the current MongoDB rise

Current total risk alpha is at -0.23. As of the 2nd of September, MongoDB secures the Mean Deviation of 2.56, downside deviation of 3.69, and Risk Adjusted Performance of 0.034. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of MongoDB, as well as the relationship between them. Strictly speaking, you can use this information to find out if the firm will indeed mirror its model of past prices, or the prices will eventually revert. We were able to break down and interpolate data for nineteen technical drivers for MongoDB, which can be compared to its peers in the industry. Please verify MongoDB value at risk, and the relationship between the jensen alpha and semi variance to decide if MongoDB is priced some-what accurately, providing market reflects its recent price of 250.72 per share. Given that MongoDB has jensen alpha of 0.0603, we recommend you to check MongoDB's last-minute market performance to make sure the company can sustain itself at a future point.

Our Final Take On MongoDB

Whereas some firms within the software?infrastructure industry are still a little expensive, even after the recent corrections, MongoDB may offer a potential longer-term growth to investors. While some investors may not share our view, we believe that right now is not a good time to increase your holdings in MongoDB. Please use our equity advice module to run different scenarios to ensure your current risk level and investment horizon are fully reflective of your current investing preferences in regards to MongoDB.

About Contributor

This story should be regarded as informational only and should not be considered a solicitation to sell or buy any financial products. Macroaxis does not express any opinion as to the present or future value of any investments referred to in this post. This post may not be reproduced without the consent of Macroaxis LLC. Macroaxis LLC and Ellen Johnson do not own shares of MongoDB. Please refer to our Terms of Use for any information regarding our disclosure principles.

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