NYSE:VGAC
Delisted
Vg Acquisition Corp Stock Price (Quote)
$4.38
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.38 | $4.38 | Wednesday, 17th Aug 2022 VGAC stock ended at $4.38. During the day the stock fluctuated 0% from a day low at $4.38 to a day high of $4.38. |
90 days | $4.38 | $4.38 | |
52 weeks | $3.85 | $13.68 |
Date | Open | High | Low | Close | Volume |
Feb 16, 2022 | $4.61 | $4.91 | $4.52 | $4.87 | 2 202 761 |
Feb 15, 2022 | $4.51 | $4.75 | $4.48 | $4.71 | 2 243 228 |
Feb 14, 2022 | $4.47 | $4.87 | $4.42 | $4.49 | 2 289 734 |
Feb 11, 2022 | $4.67 | $4.92 | $4.48 | $4.52 | 4 786 184 |
Feb 10, 2022 | $4.90 | $5.48 | $4.85 | $4.97 | 4 686 308 |
Feb 09, 2022 | $4.95 | $5.17 | $4.95 | $5.00 | 2 741 372 |
Feb 08, 2022 | $4.95 | $4.95 | $4.68 | $4.88 | 1 785 159 |
Feb 07, 2022 | $4.74 | $5.09 | $4.70 | $4.93 | 2 592 931 |
Feb 04, 2022 | $4.54 | $4.83 | $4.47 | $4.75 | 2 095 508 |
Feb 03, 2022 | $4.55 | $4.67 | $4.46 | $4.53 | 2 260 442 |
Feb 02, 2022 | $5.00 | $5.00 | $4.52 | $4.69 | 3 050 036 |
Feb 01, 2022 | $4.79 | $4.95 | $4.63 | $4.91 | 2 375 509 |
Jan 31, 2022 | $4.20 | $4.67 | $4.19 | $4.67 | 3 106 777 |
Jan 28, 2022 | $4.15 | $4.21 | $3.96 | $4.21 | 2 881 728 |
Jan 27, 2022 | $4.54 | $4.55 | $4.17 | $4.21 | 1 993 223 |
Jan 26, 2022 | $4.53 | $4.90 | $4.38 | $4.41 | 3 074 269 |
Jan 25, 2022 | $4.47 | $4.65 | $4.22 | $4.40 | 2 341 294 |
Jan 24, 2022 | $4.26 | $4.63 | $3.99 | $4.58 | 4 313 887 |
Jan 21, 2022 | $4.64 | $4.67 | $4.40 | $4.50 | 2 859 933 |
Jan 20, 2022 | $4.87 | $5.13 | $4.63 | $4.65 | 2 474 599 |
Jan 19, 2022 | $4.98 | $5.06 | $4.73 | $4.81 | 3 019 943 |
Jan 18, 2022 | $5.15 | $5.32 | $4.81 | $4.84 | 4 372 940 |
Jan 14, 2022 | $5.28 | $5.37 | $4.92 | $5.18 | 5 488 122 |
Jan 13, 2022 | $6.09 | $6.09 | $6.09 | $6.09 | 0 |
Jan 12, 2022 | $6.09 | $6.09 | $6.09 | $6.09 | 0 |
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 VGAC stock historical prices to predict future price movements?
Trend Analysis: Examine the VGAC 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 VGAC 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.