Mongodb Stock Price on October 31, 2023
| MDB Stock | USD 332.50 17.06 5.41% |
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 332.50, as last reported on the 24th of November, with the highest price reaching 337.56 and the lowest price hitting 323.36 during the day.
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 0.14, which conveys that the firm had a 0.14% return per unit of risk over the last 3 months. By analyzing MongoDB's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please exercise MongoDB's Downside Deviation of 2.26, mean deviation of 2.43, and Risk Adjusted Performance of 0.1167 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.
IPO Date 19th of October 2017 | 200 Day MA 306.918 | 50 Day MA 278.9634 | Beta 1.153 |
MongoDB |
Sharpe Ratio = 0.1441
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
| 3.66 actual daily | 32 68% of assets are more volatile |
Expected Return
| 0.53 actual daily | 10 90% of assets have higher returns |
Risk-Adjusted Return
| 0.14 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 13.4983 | Shares Float 71.4 M | Wall Street Target Price 336.611 |
MongoDB Valuation on October 31, 2023
It is possible to determine the worth of MongoDB on a given historical date. On October 31, 2023 MongoDB was worth 341.23 at the beginning of the trading date compared to the closed value of 344.59. 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 | |
| 341.25 | 342.33 | 333.69 | 336.30 | 733,100 | |
10/31/2023 | 341.23 | 346.31 | 332.60 | 344.59 | 721,400 |
| 345.21 | 347.22 | 332.00 | 339.02 | 957,700 |
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MongoDB Trading Date Momentum on October 31, 2023
| On November 01 2023 MongoDB was traded for 339.02 at the closing time. Highest MongoDB's price during the trading hours was 347.22 and the lowest price during the day was 332.00 . The net volume was 957.7 K. The overall trading history on the 1st of November contributed to the next trading period price depreciation. The trading delta at closing time to the next next day price was 1.62% . The trading delta at closing time to current price is 6.43% . |
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 Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 71.2 M | 58.1 M | |
| Net Loss | -310.9 M | -295.3 M |
MongoDB Quarterly Net Working Capital |
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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.
Price Boundaries
MongoDB Period Price Range
Low | November 24, 2024
| High |
0.00 | 0.00 |
MongoDB cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
MongoDB November 24, 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.
| Risk Adjusted Performance | 0.1167 | |||
| Jensen Alpha | 0.2926 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | 0.1702 | |||
| Treynor Ratio | 0.287 |
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| Volatility Indicators | ||
| Volume Indicators |
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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