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 |
Sep 30, 2022 | $5.83 | $6.11 | $5.79 | $5.81 | 1 548 262 |
Sep 29, 2022 | $5.87 | $5.97 | $5.72 | $5.87 | 1 064 765 |
Sep 28, 2022 | $5.79 | $6.16 | $5.71 | $6.05 | 1 516 763 |
Sep 27, 2022 | $5.80 | $5.94 | $5.63 | $5.74 | 1 276 216 |
Sep 26, 2022 | $5.59 | $5.92 | $5.58 | $5.68 | 2 245 563 |
Sep 23, 2022 | $5.57 | $5.70 | $5.30 | $5.64 | 6 017 286 |
Sep 22, 2022 | $6.14 | $6.24 | $5.65 | $5.67 | 2 999 716 |
Sep 21, 2022 | $6.27 | $6.55 | $6.21 | $6.28 | 2 661 975 |
Sep 20, 2022 | $6.75 | $6.86 | $6.28 | $6.31 | 3 306 938 |
Sep 19, 2022 | $6.88 | $7.17 | $6.84 | $6.90 | 1 274 373 |
Sep 16, 2022 | $7.20 | $7.23 | $6.80 | $7.00 | 2 573 052 |
Sep 15, 2022 | $7.21 | $7.48 | $7.14 | $7.31 | 1 199 052 |
Sep 14, 2022 | $7.33 | $7.41 | $7.17 | $7.35 | 1 517 608 |
Sep 13, 2022 | $6.94 | $7.42 | $6.84 | $7.29 | 1 590 048 |
Sep 12, 2022 | $7.25 | $7.43 | $7.22 | $7.28 | 962 535 |
Sep 09, 2022 | $7.00 | $7.31 | $7.00 | $7.26 | 899 308 |
Sep 08, 2022 | $6.58 | $6.88 | $6.51 | $6.86 | 1 515 782 |
Sep 07, 2022 | $6.77 | $6.90 | $6.61 | $6.71 | 1 411 003 |
Sep 06, 2022 | $6.99 | $7.06 | $6.73 | $6.79 | 1 238 805 |
Sep 02, 2022 | $7.10 | $7.10 | $6.82 | $6.96 | 1 589 408 |
Sep 01, 2022 | $6.78 | $7.03 | $6.68 | $6.93 | 1 918 294 |
Aug 31, 2022 | $7.25 | $7.28 | $7.00 | $7.09 | 2 081 075 |
Aug 30, 2022 | $7.17 | $7.28 | $7.07 | $7.15 | 1 191 003 |
Aug 29, 2022 | $7.07 | $7.29 | $7.05 | $7.14 | 1 014 416 |
Aug 26, 2022 | $7.51 | $7.51 | $7.09 | $7.17 | 1 331 087 |
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.