MongoDB Stock Technical Analysis

MDB Stock  USD 224.01  15.78  7.58%   
As of the 28th of January, MongoDB secures the Risk Adjusted Performance of 0.0994, downside deviation of 4.12, and Mean Deviation of 4.29. 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 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 224.01 per share. Given that MongoDB has jensen alpha of 0.0225, we recommend you to check MongoDB's last-minute market performance to make sure the company can sustain itself at a future point.
  

MongoDB Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as MongoDB, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MongoDB
MongoDB's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.

MongoDB Analyst Consensus

Target PriceAdvice# of Analysts
565.4Buy10Odds
MongoDB current and past analyst recommendations published by a number of research institutions as well as average analyst consensus.
Most MongoDB analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand MongoDB stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of MongoDB, talking to its executives and customers, or listening to MongoDB conference calls.
MongoDB Analyst Advice Details
MongoDB 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.
A focus of MongoDB technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of MongoDB trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

MongoDB Technical Analysis

Indicator
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of MongoDB volatility developed by Welles Wilder.
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MongoDB Trend Analysis

Use this graph to draw trend lines for MongoDB. You can use it to identify possible trend reversals for MongoDB as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual MongoDB price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

MongoDB Best Fit Change Line

The following chart estimates an ordinary least squares regression model for MongoDB applied against its price change over selected period. The best fit line has a slop of   0.88  , which may imply that MongoDB will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 29576.2, which is the sum of squared deviations for the predicted MongoDB price change compared to its average price change.

About MongoDB Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of MongoDB on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of MongoDB based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on MongoDB price pattern first instead of the macroeconomic environment surrounding MongoDB. By analyzing MongoDB's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of MongoDB's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to MongoDB specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2020 2022 2023 (projected)
PPandE Turnover9.7616.0814.01
Long Term Debt to Equity1.71.531.57

MongoDB January 28, 2023 Technical Indicators

Most technical analysis of MongoDB help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for MongoDB from various momentum indicators to cycle indicators. When you analyze MongoDB charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

MongoDB January 28, 2023 Daily Trend Indicators

Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as MongoDB stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
Additionally, see Correlation Analysis. Note that the MongoDB information on this page should be used as a complementary analysis to other MongoDB's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

Complementary Tools for MongoDB Stock analysis

When running MongoDB price analysis, check to measure MongoDB'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 MongoDB is operating at the current time. Most of MongoDB's value examination focuses on studying past and present price action to predict the probability of MongoDB's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move MongoDB's price. Additionally, you may evaluate how the addition of MongoDB to your portfolios can decrease your overall portfolio volatility.
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Is MongoDB's industry 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 MongoDB. If investors know MongoDB 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 MongoDB listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Market Capitalization
15.5 B
Quarterly Revenue Growth
0.47
Return On Assets
(0.09) 
Return On Equity
(0.54) 
The market value of MongoDB is measured differently than its book value, which is the value of MongoDB that is recorded on the company's balance sheet. Investors also form their own opinion of MongoDB's value that differs from its market value or its book value, called intrinsic value, which is MongoDB'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 MongoDB's market value can be influenced by many factors that don't directly affect MongoDB'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 MongoDB's value and its price as these two are different measures arrived at by different means. Investors typically determine MongoDB value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, MongoDB'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.