Mongodb Stock Technical Analysis
MDB Stock | USD 366.31 26.15 7.69% |
As of the 24th of April, MongoDB secures the Risk Adjusted Performance of (0.01), mean deviation of 2.2, and Standard Deviation of 2.98. 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 thirteen technical drivers for MongoDB, which can be compared to its peers in the industry. Please verify MongoDB information ratio, value at risk, as well as the relationship between the Value At Risk and kurtosis to decide if MongoDB is priced some-what accurately, providing market reflects its recent price of 366.31 per share. Given that MongoDB has information ratio of (0.06), 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 MongoDBMongoDB |
MongoDB Analyst Consensus
Target Price | Advice | # of Analysts | |
432.52 | Strong Buy | 34 | Odds |
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 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.
MongoDB Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of MongoDB volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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 2.3 , which may imply that the returns on investment in MongoDB will continue to fail. It has 122 observation points and a regression sum of squares at 200581.12, 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.
2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 9.64E-4 | 3.88E-4 | 0.001532 | 0.001713 | Price To Sales Ratio | 29.93 | 11.45 | 16.96 | 15.31 |
MongoDB April 24, 2024 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.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | (0.01) | |||
Market Risk Adjusted Performance | (0.04) | |||
Mean Deviation | 2.2 | |||
Coefficient Of Variation | (3,188) | |||
Standard Deviation | 2.98 | |||
Variance | 8.9 | |||
Information Ratio | (0.06) | |||
Jensen Alpha | (0.29) | |||
Total Risk Alpha | (0.51) | |||
Treynor Ratio | (0.05) | |||
Maximum Drawdown | 14.33 | |||
Value At Risk | (4.29) | |||
Potential Upside | 5.55 | |||
Skewness | 0.3309 | |||
Kurtosis | 0.7229 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in MongoDB. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.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 the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Complementary Tools for MongoDB Stock analysis
When running MongoDB's 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 the 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.
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Stocks Directory Find actively traded stocks across global markets | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
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.
Earnings Share (2.48) | Revenue Per Share 23.622 | Quarterly Revenue Growth 0.268 | Return On Assets (0.05) | Return On Equity (0.20) |
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 if MongoDB is a good investment 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.