Mongodb Stock Price on November 20, 2024

MDB Stock  USD 335.40  5.96  1.75%   
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 335.40, as last reported on the 27th of November, with the highest price reaching 345.98 and the lowest price hitting 334.00 during the day.
IPO Date
19th of October 2017
200 Day MA
306.918
50 Day MA
278.9634
Beta
1.153
 
Covid
If you're considering investing in MongoDB Stock, it is important to understand the factors that can impact its price. MongoDB appears to be very steady, given 3 months investment horizon. MongoDB has Sharpe Ratio of 0.15, which conveys that the firm had a 0.15% return per unit of risk over the last 3 months. By analyzing MongoDB's technical indicators, you can evaluate if the expected return of 0.56% is justified by implied risk. Please exercise MongoDB's Risk Adjusted Performance of 0.1232, downside deviation of 2.26, and Mean Deviation of 2.47 to check out if our risk estimates are consistent with your expectations.
  
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 = 0.152

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Estimated Market Risk

 3.67
  actual daily
32
68% of assets are more volatile

Expected Return

 0.56
  actual daily
11
89% of assets have higher returns

Risk-Adjusted Return

 0.15
  actual daily
11
89% of assets perform better
Based on monthly moving average MongoDB is performing at about 11% of its full potential. 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 it to a well-diversified portfolio.
Price Book
18.0196
Enterprise Value Ebitda
(56.29)
Price Sales
13.858
Shares Float
71.4 M
Wall Street Target Price
338.3352

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MongoDB Valuation on November 20, 2024

It is possible to determine the worth of MongoDB on a given historical date. On November 20, 2024 MongoDB was worth 289.46 at the beginning of the trading date compared to the closed value of 281.76. 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
  279.00    291.29    278.03    289.15    1,542,885  
11/20/2024
  289.46    290.94    275.10    281.76    1,237,288  
  306.22    331.19    305.08    315.44    4,190,214  
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Open Value
289.46
278.45
Downside
281.76
Closing Value
300.47
Upside

MongoDB Trading Date Momentum on November 20, 2024

On November 21 2024 MongoDB was traded for  315.44  at the closing time. Highest MongoDB's price during the trading hours was 331.19  and the lowest price during the day was  305.08 . The net volume was 4.2 M. The overall trading history on the 21st of November contributed to the next trading period price jump. The trading delta at closing time to the next next day price was 11.95% . The trading delta at closing time to current price is 21.65% .

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

2.18 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
November 27, 2024
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High

 0.00 

     

 0.00 

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MongoDB November 27, 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.

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.
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