NASDAQ:MNTV
Delisted
Momentive Global Inc. Stock Price (Quote)
$9.45
+0 (+0%)
At Close: Aug 24, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.45 | $9.45 | Thursday, 24th Aug 2023 MNTV stock ended at $9.45. During the day the stock fluctuated 0% from a day low at $9.45 to a day high of $9.45. |
90 days | $9.44 | $9.46 | |
52 weeks | $5.14 | $9.46 |
Date | Open | High | Low | Close | Volume |
Dec 12, 2022 | $7.33 | $7.59 | $7.17 | $7.38 | 1 441 879 |
Dec 09, 2022 | $7.28 | $7.45 | $7.21 | $7.34 | 1 146 495 |
Dec 08, 2022 | $7.18 | $7.42 | $7.07 | $7.36 | 655 226 |
Dec 07, 2022 | $7.04 | $7.26 | $6.96 | $7.13 | 1 272 709 |
Dec 06, 2022 | $7.42 | $7.42 | $7.06 | $7.10 | 1 342 115 |
Dec 05, 2022 | $7.79 | $7.85 | $7.39 | $7.44 | 1 000 175 |
Dec 02, 2022 | $7.77 | $7.93 | $7.56 | $7.84 | 1 096 003 |
Dec 01, 2022 | $7.98 | $8.19 | $7.62 | $7.86 | 3 150 372 |
Nov 30, 2022 | $7.47 | $7.94 | $7.47 | $7.93 | 1 210 287 |
Nov 29, 2022 | $7.66 | $7.75 | $7.46 | $7.49 | 874 016 |
Nov 28, 2022 | $7.40 | $7.86 | $7.40 | $7.60 | 1 808 383 |
Nov 25, 2022 | $7.57 | $7.59 | $7.46 | $7.52 | 407 510 |
Nov 23, 2022 | $7.48 | $7.73 | $7.41 | $7.68 | 966 047 |
Nov 22, 2022 | $7.52 | $7.56 | $7.26 | $7.52 | 829 382 |
Nov 21, 2022 | $7.62 | $7.68 | $7.44 | $7.53 | 547 817 |
Nov 18, 2022 | $7.85 | $7.87 | $7.70 | $7.76 | 950 326 |
Nov 17, 2022 | $7.67 | $7.88 | $7.60 | $7.69 | 1 695 537 |
Nov 16, 2022 | $8.40 | $8.45 | $7.91 | $7.92 | 2 085 334 |
Nov 15, 2022 | $8.40 | $8.79 | $8.33 | $8.75 | 1 362 976 |
Nov 14, 2022 | $8.52 | $8.60 | $8.05 | $8.16 | 2 388 949 |
Nov 11, 2022 | $7.98 | $8.54 | $7.96 | $8.43 | 1 114 038 |
Nov 10, 2022 | $8.00 | $8.22 | $7.98 | $8.15 | 1 240 948 |
Nov 09, 2022 | $7.41 | $7.66 | $7.22 | $7.59 | 1 111 563 |
Nov 08, 2022 | $7.59 | $7.73 | $7.45 | $7.55 | 1 250 047 |
Nov 07, 2022 | $7.78 | $7.87 | $7.37 | $7.50 | 1 678 493 |
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.
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 MNTV stock historical prices to predict future price movements?
Trend Analysis: Examine the MNTV 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.
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.
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 MNTV 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.