Mongodb Stock Price on January 20, 2023

MDB Stock  USD 340.16  12.69  3.88%   
Below is the normalized historical share price chart for MongoDB extending back to October 19, 2017. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of MongoDB stands at 340.16, as last reported on the 23rd of April, with the highest price reaching 342.17 and the lowest price hitting 321.77 during the day.
IPO Date
19th of October 2017
200 Day MA
385.7741
50 Day MA
393.8552
Beta
1.21
 
Covid
If you're considering investing in MongoDB Stock, it is important to understand the factors that can impact its price. MongoDB has Sharpe Ratio of -0.0904, which conveys that the firm had a -0.0904% return per unit of risk over the last 3 months. MongoDB exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify MongoDB's Risk Adjusted Performance of (0.03), mean deviation of 2.12, and Standard Deviation of 2.84 to check out the risk estimate we provide.
  
At present, MongoDB's Total Stockholder Equity is projected to increase significantly based on the last few years of reporting. The current year's Other Stockholder Equity is expected to grow to about 2.9 B, whereas Common Stock Total Equity is forecasted to decline to about 52.9 K. . At present, MongoDB's Price Book Value Ratio is projected to decrease significantly based on the last few years of reporting. The current year's Price Earnings To Growth Ratio is expected to grow to 3.35, whereas Price To Sales Ratio is forecasted to decline to 15.31. MongoDB Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = -0.0904

Best PortfolioBest Equity
Good Returns
Average Returns
Small Returns
CashSmall RiskAverage RiskHigh RiskHuge Risk
Negative ReturnsMDB

Estimated Market Risk

 2.88
  actual daily
25
75% of assets are more volatile

Expected Return

 -0.26
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 -0.09
  actual daily
0
Most of other assets perform better
Based on monthly moving average MongoDB is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of MongoDB by adding MongoDB to a well-diversified portfolio.
Price Book
23.9916
Enterprise Value Ebitda
(203.40)
Price Sales
15.2351
Shares Float
70.3 M
Wall Street Target Price
449.2

MongoDB Valuation on January 20, 2023

It is possible to determine the worth of MongoDB on a given historical date. On January 20, 2023 MongoDB was worth 191.0 at the beginning of the trading date compared to the closed value of 197.86. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of MongoDB stock. Still, in general, we apply an absolute valuation method to find MongoDB's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of MongoDB where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against MongoDB's related companies.
 Open High Low Close Volume
  197.00    198.87    188.78    189.31    1,518,074  
01/20/2023
  191.00    199.49    188.91    197.86    979,244  
  199.00    207.68    196.00    207.05    1,178,617  
Backtest MongoDB  |  MongoDB History  |  MongoDB Valuation   PreviousNext  
Open Value
191.0
182.36
Downside
197.86
Closing Value
199.64
Upside

MongoDB Trading Date Momentum on January 20, 2023

On January 23 2023 MongoDB was traded for  207.05  at the closing time. Highest MongoDB's price during the trading hours was 207.68  and the lowest price during the day was  196.00 . The net volume was 1.2 M. The overall trading history on the 23rd of January contributed to the next trading period price jump. The trading delta at closing time to the next next day price was 4.64% . The trading delta at closing time to current price is 11.51% .

MongoDB Fundamentals Correlations and Trends

By evaluating MongoDB's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among MongoDB's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. MongoDB financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About MongoDB Stock history

MongoDB investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for MongoDB is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in MongoDB will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing MongoDB stock prices may prove useful in developing a viable investing in MongoDB
Last ReportedProjected for Next Year
Common Stock Shares Outstanding71.2 M58.1 M
Net Loss-310.9 M-295.3 M

MongoDB Quarterly Net Working Capital

1.92 Billion

MongoDB Stock Technical Analysis

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...

Price Boundaries

MongoDB Period Price Range

Low
January 20, 2023
6.86  3.59%
High

 191.00 

     

 197.86 

MongoDB April 23, 2024 Market Strength

Market strength indicators help investors to evaluate how MongoDB stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading MongoDB shares will generate the highest return on investment. By undertsting and applying MongoDB stock market strength indicators, traders can identify MongoDB entry and exit signals to maximize returns

MongoDB Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for MongoDB's price direction in advance. Along with the technical and fundamental analysis of MongoDB Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of MongoDB to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
When determining whether MongoDB offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of MongoDB's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Mongodb Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Mongodb Stock:
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.

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.
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Sign In To Macroaxis
Sign in to explore Macroaxis' wealth optimization platform and fintech modules
USA ETFs
Find actively traded Exchange Traded Funds (ETF) in USA
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Odds Of Bankruptcy
Get analysis of equity chance of financial distress in the next 2 years
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
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
(2.49)
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.