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Range Low Price High Price Comment
30 days $321.87 $387.19 Tuesday, 14th May 2024 MDB stock ended at $359.27. This is 0.0084% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 3.32% from a day low at $352.90 to a day high of $364.61.
90 days $321.87 $488.00
52 weeks $267.68 $509.62

Historical MongoDB Inc prices

Date Open High Low Close Volume
Nov 28, 2017 $29.81 $30.00 $29.51 $29.55 149 680
Nov 27, 2017 $29.95 $29.95 $29.07 $29.69 171 398
Nov 24, 2017 $29.31 $29.99 $29.25 $29.92 81 203
Nov 22, 2017 $29.39 $29.56 $29.20 $29.28 225 395
Nov 21, 2017 $29.25 $29.49 $29.01 $29.21 242 299
Nov 20, 2017 $29.87 $29.93 $29.08 $29.26 292 392
Nov 17, 2017 $29.98 $30.13 $29.59 $29.83 89 786
Nov 16, 2017 $29.69 $30.32 $29.69 $29.87 140 668
Nov 15, 2017 $29.76 $30.11 $29.57 $29.63 176 092
Nov 14, 2017 $30.68 $30.70 $29.70 $29.88 124 368
Nov 13, 2017 $29.65 $31.11 $29.30 $30.68 296 352
Nov 10, 2017 $29.16 $30.26 $29.16 $30.20 137 450
Nov 09, 2017 $29.70 $29.90 $29.01 $29.22 203 720
Nov 08, 2017 $29.69 $29.99 $29.41 $29.88 241 265
Nov 07, 2017 $30.61 $30.89 $29.71 $29.81 279 004
Nov 06, 2017 $29.63 $30.72 $29.36 $30.61 304 774
Nov 03, 2017 $29.89 $30.17 $29.35 $29.63 229 235
Nov 02, 2017 $29.72 $30.46 $29.66 $29.95 313 443
Nov 01, 2017 $30.37 $30.57 $29.70 $29.80 432 016
Oct 31, 2017 $29.80 $30.68 $29.80 $30.48 318 134
Oct 30, 2017 $30.69 $30.69 $29.59 $29.85 727 811
Oct 27, 2017 $31.01 $31.29 $30.00 $30.89 549 507
Oct 26, 2017 $31.68 $31.73 $30.73 $31.10 605 260
Oct 25, 2017 $30.50 $31.10 $29.88 $31.00 1 219 442
Oct 24, 2017 $30.46 $30.92 $30.44 $30.57 420 725

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use MDB stock historical prices to predict future price movements?
Trend Analysis: Examine the MDB stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the MDB stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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About MongoDB Inc

MongoDB MongoDB, Inc. provides general purpose database platform worldwide. The company offers MongoDB Enterprise Advanced, a commercial database server for enterprise customers to run in the cloud, on-premise, or in a hybrid environment; MongoDB Atlas, a hosted multi-cloud database-as-a-service solution; and Community Server, a free-to-download version of its database, which includes the functionality that developers need to get started with MongoDB. It... MDB Profile

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