Mongodb Stock Pattern Recognition Spinning Top
| MDB Stock | USD 332.50 17.06 5.41% |
| Symbol |
Recognition |
The output start index for this execution was ten with a total number of output elements of fifty-one. The function generated a total of fifteen valid pattern recognition events for the selected time horizon. The Spinning Top pattern Reversal/Continuation pattern describes MongoDB neutral movement and is used to signal indecision about the future direction of MongoDB.
MongoDB Technical Analysis Modules
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 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 |
About MongoDB Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of MongoDB. We use our internally-developed statistical techniques to arrive at the intrinsic value of MongoDB based on widely used predictive technical indicators. 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 pattern recognition 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.
| 2021 | 2022 | 2023 | 2024 (projected) | Graham Number | 33.23 | 34.93 | 28.93 | 16.54 | Receivables Turnover | 4.47 | 4.5 | 5.17 | 3.22 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MongoDB's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards MongoDB in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, MongoDB's short interest history, or implied volatility extrapolated from MongoDB options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Entertainment Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | Momentum Invested over 60 shares | |
 | Business Services Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Baby Boomer Prospects Invested over 40 shares | |
 | Video Games Invested few shares | |
 | Driverless Cars Invested few shares | |
 | Manufacturing Invested over 30 shares | |
 | Macroaxis Picks Invested over 30 shares | |
 | FinTech Invested over 60 shares | |
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 closely tied 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.You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Is Internet Services & Infrastructure 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 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 (3.03) | Revenue Per Share 25.057 | Quarterly Revenue Growth 0.128 | Return On Assets (0.06) | 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.