MongoDB Stock Price Chart Trends and Technical Patterns
| M1DB34 Stock | BRL 109.51 3.82 3.61% |
MongoDB |
MongoDB Stock Momentum Indicator Charts
Despite being surrounded by normalized and non-normalized data, technical analysis and forecasting of MongoDB provide a lot of insight regarding the behavior of crowds concerning fear and greed. Investors that are interested in a particular instrument, such as MongoDB, can be considered to be 'the market' for MongoDB instruments. The emotional state of those investors is what determines the price for MongoDB. If more investors feel that the MongoDB Stock will rise, it most likely will increase; and if more investors feel that the MongoDB price will fall, then it will fall. Thus, a stock's price change over time is the most accurate record of the emotional state (i.e., the fear and the greed) of the market for that instrument, and thus, technical analysis is, at its core, a study of crowd behavior. Our charting interfaces help investors to find opportunities and time the market. MongoDB price plot provides a helpful view of the trending direction of the price but hides some likely useful information from an investor. The MongoDB's momentum indicator charts help investors identify opportunities when the price moves upward or downward. Traders can also locate a price movement's strength using a momentum indicator line in a price chart. Usually, the formula for price momentum indicators compares the most recent closing price to a previous closing price from any time frame. The momentum indicator is typically displayed as a single line in a different section of a chart than the price line or bars.MongoDB Stock Peer indicators
Technical peer comparison is one of the most widely used and accepted methods of stock analysis among chartists. It analyses MongoDB's direct or indirect competition against its essential technical indicators to detect undervalued stock instruments with similar characteristics or determine the stock that would be a good addition to a portfolio. Peer analysis of MongoDB could also be used in its relative valuation, which is a method of valuing MongoDB by comparing different technical metrics with those of similar instruments.
| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| M1DB34 | 2.20 | 0.37 | 0.13 | 0.85 | 2.24 | 4.30 | 28.37 | |||
| FMSC34 | 0.34 | (0.16) | 0.00 | 1.32 | 0.00 | 0.00 | 5.85 | |||
| S1KM34 | 0.45 | (0.12) | 0.00 | (0.27) | 0.00 | 1.21 | 6.07 | |||
| M2PW34 | 1.89 | 0.02 | (0.02) | 0.21 | 2.53 | 3.88 | 15.78 | |||
| M1CH34 | 1.59 | 0.30 | 0.07 | 1.65 | 1.73 | 6.02 | 12.94 | |||
| FIQE3 | 1.48 | 0.56 | 0.22 | (2.51) | 1.41 | 3.37 | 14.47 | |||
| EAIN34 | 0.40 | 0.03 | (0.06) | (2.43) | 0.66 | 1.30 | 5.93 |
MongoDB Predictive Pattern Charts
Recognition |
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was ten with a total number of output elements of fifty-one. The function did not return any valid pattern recognition events for the selected time horizon. The Rickshaw Man may indicate MongoDB indecision reversal trend.
- Analyze a chart of MongoDB's stock price history.
- Study the chart to identify trends in MongoDB's stock prices over time.
- Look for patterns such as uptrends, downtrends, and consolidations, and take note of any significant events that may have affected the price of the stock.
- Use technical indicators, such as moving averages and trend lines, to further understand the MongoDB's price action. These tools can help you determine the stock's support and resistance levels and momentum.
- Consider the MongoDB's volume data, which can provide insight into the stock's buying and selling activity level. High volume typically indicates a high level of interest in the stock, which can be a bullish sign.
- Look at news and events that may be affecting MongoDB's stock price. Keep up to date on the Stock's financial performance, as well as any regulatory changes or macroeconomic events that may impact the price.
MongoDB Important Indicators
While there is no single technical or fundamental indicator that will always help you time the market, it is essential to watch out for some raw signals communicated by MongoDB price movement. Investors usually use a small combination of different predictive indicators, such as period averages, to develop specific strategies before taking a position in MongoDB.MongoDB Trend Drivers
MongoDB Basic Value Drivers
| Average Daily Volume Last 10 Day | 109 | |
| Average Daily Volume In Three Month | 181 | |
| Enterprise Value To Ebitda | -39.04 | |
| Fifty Day Average | 131.80 | |
| Two Hundred Day Average | 98.49 |
Additional Information and Resources on Investing in MongoDB Stock
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 closely tied with the direction of predictive economic indicators such as signals in nation. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.