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 19, 2019 | $17.83 | $17.93 | $17.67 | $17.69 | 403 950 |
Dec 18, 2019 | $18.01 | $18.06 | $17.79 | $17.85 | 454 249 |
Dec 17, 2019 | $17.88 | $18.00 | $17.72 | $17.93 | 803 119 |
Dec 16, 2019 | $17.76 | $17.96 | $17.53 | $17.79 | 876 616 |
Dec 13, 2019 | $17.90 | $18.09 | $17.58 | $17.63 | 501 240 |
Dec 12, 2019 | $17.49 | $18.10 | $17.45 | $17.82 | 890 141 |
Dec 11, 2019 | $17.08 | $17.56 | $16.92 | $17.55 | 553 010 |
Dec 10, 2019 | $17.42 | $17.44 | $16.96 | $17.08 | 363 624 |
Dec 09, 2019 | $17.41 | $17.58 | $17.22 | $17.35 | 617 296 |
Dec 06, 2019 | $17.56 | $17.76 | $17.42 | $17.47 | 280 906 |
Dec 05, 2019 | $17.50 | $17.62 | $17.30 | $17.51 | 289 015 |
Dec 04, 2019 | $17.51 | $17.78 | $17.29 | $17.51 | 573 501 |
Dec 03, 2019 | $16.64 | $17.45 | $16.64 | $17.44 | 557 346 |
Dec 02, 2019 | $17.14 | $17.15 | $16.61 | $16.97 | 718 404 |
Nov 29, 2019 | $17.13 | $17.37 | $17.07 | $17.07 | 441 289 |
Nov 27, 2019 | $17.23 | $17.37 | $16.99 | $17.26 | 408 962 |
Nov 26, 2019 | $17.19 | $17.56 | $16.93 | $17.09 | 1 291 144 |
Nov 25, 2019 | $16.95 | $17.43 | $16.95 | $17.31 | 1 062 534 |
Nov 22, 2019 | $17.17 | $17.20 | $16.91 | $17.03 | 428 573 |
Nov 21, 2019 | $17.01 | $17.50 | $16.96 | $17.04 | 514 712 |
Nov 20, 2019 | $16.93 | $17.39 | $16.84 | $17.11 | 679 200 |
Nov 19, 2019 | $17.02 | $17.31 | $16.93 | $17.01 | 620 321 |
Nov 18, 2019 | $16.94 | $17.25 | $16.75 | $17.02 | 1 251 468 |
Nov 15, 2019 | $16.77 | $17.12 | $16.65 | $17.10 | 799 750 |
Nov 14, 2019 | $16.47 | $16.75 | $16.39 | $16.70 | 1 129 489 |
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.