MongoDB Price Trends and Technical Patterns

MDB Stock  USD 216.79  3.28  1.49%   
This module allows you to plot MongoDB against other equities to check for different price appreciation patterns. MongoDB can be compared to up to 10 different equities over a specified time horizon. Use comma (,) to separate each symbol. If not specified, the peers will be provided automatically based on Macroaxis sector classification standards for MongoDB. To filter out specific equities, please toggle its corresponding legend item. Check out Correlation Analysis. For information on how to trade MongoDB Stock refer to our How to Trade MongoDB Stock guide.
As an investor, you can analyze the fundamental pricing momentum and return patterns of MongoDB using the variety of Macroaxis charts. Price and return charts with technical indicators help investors not only visualize the movement but also find long-term investing opportunities.
Specify up to 10 symbols:

MongoDB Stock Momentum Indicator Charts

Despite being surrounded by normalized and non-normalized data, technical analysis and forecasting of MongoDB chart patterns provide a lot of insight regarding the behavior of crowds concerning fear and greed. Investors that are interested in a particular stock such as MongoDB can be considered to be 'the market' for MongoDB stock. The emotional state of those investors is what determines the price for MongoDB. If more investors feel that 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 stock, and thus, technical analysis is, at its core, a study of crowd behavior. Macroaxis various charting interfaces help investors to find opportunities and time the market. MongoDB price plot provides a helpful view on 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.
Please note that MongoDB's momentum indicators aren't going to provide much information beyond what can be seen by looking at the price of MongoDB chart itself and comparing it to the benchmark or its competition. If MongoDB's price is moving aggressively higher, this will be visible on both the price chart and the momentum indicator. The momentum indicator charts can sometimes be useful to help confirm a price action trading strategy instead of using it to generate trade signals on its own.

MongoDB Stock Peer indicators

Technical peer comparison is one of the most widely used and accepted methods of stock analyses among chartists. It analyses MongoDB's direct or indirect competition against its essential technical indicators to detect undervalued stocks with similar characteristics or determine the stocks which 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 companies.
At Risk
MDB 3.25  0.29  0.06  0.14  4.06  0.07 (3.32)  6.69 (7.39)  17.47 
ALLT 2.00 (0.08)  0.00 (0.11)  0.00 (0.0276)  0.00  3.81 (3.41)  18.24 
PPJE 10.68  1.80  0.06  0.97  11.07  0.09 (45.83)  33.33 (25.00)  125.00 
F 1.94  0.13  0.04  0.05  2.54  0.0451 (1.98)  4.22 (4.40)  13.01 
ZIM 2.82  0.60  0.20  1.12  2.72  0.17 (3.41)  6.60 (5.26)  15.86 
ML 4.63  0.26  0.04  0.09  4.91  0.0372 (6.33)  10.29 (9.09)  38.25 
ATCC 3.71  0.62  0.00 (1.06)  0.00  0.05  0.00  0.00  0.00  93.51 
PHM 1.30  0.39  0.22  0.31  1.42  0.20 (1.39)  2.71 (2.45)  13.84 
SCHW-PJ 1.18  0.06  0.04  0.04  1.79  0.0327 (1.20)  1.72 (2.33)  13.23 
BYDDF 1.91  0.11  0.05  0.08  1.95  0.0434 (2.42)  5.09 (3.52)  11.67 

MongoDB Predictive Pattern Charts

The output start index for this execution was zero with a total number of output elements of sixty-one. Developed by Larry Williams, the Weighted Close is the average of MongoDB high, low and close of a chart with the close values weighted twice. It can be used to smooth an indicator that normally takes only MongoDB closing price as input.
To use MongoDB stock chart analysis, you can follow these steps:
  • Analyze a chart of MongoDB's stock price history.
  • Study the chart to identify trends in MongoDB's stock price over time.
  • Look for patterns such as uptrends, downtrends, and consolidations, and take note of any significant events that may have affected the stock's price.
  • 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 stock's price.
It's important to keep in mind that stock chart analysis is just one aspect of evaluating a stock, and should not be the sole basis for making investment decisions. Additionally, past performance of MongoDB is not indicative of its future results.