NASDAQ:VVUS
Delisted
VIVUS Stock Price (Quote)
$0.105
+0 (+0%)
At Close: May 27, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.105 | $0.105 | Friday, 27th May 2022 VVUS stock ended at $0.105. During the day the stock fluctuated 0% from a day low at $0.105 to a day high of $0.105. |
90 days | $0.105 | $0.105 | |
52 weeks | $0.105 | $0.105 |
Historical VIVUS prices
Date | Open | High | Low | Close | Volume |
Dec 12, 2016 | $1.40 | $1.45 | $1.38 | $1.44 | 679 919 |
Dec 09, 2016 | $1.40 | $1.43 | $1.36 | $1.38 | 337 750 |
Dec 08, 2016 | $1.39 | $1.42 | $1.36 | $1.40 | 509 325 |
Dec 07, 2016 | $1.45 | $1.47 | $1.37 | $1.39 | 444 239 |
Dec 06, 2016 | $1.38 | $1.46 | $1.35 | $1.43 | 562 807 |
Dec 05, 2016 | $1.42 | $1.42 | $1.36 | $1.40 | 475 193 |
Dec 02, 2016 | $1.42 | $1.46 | $1.36 | $1.40 | 650 844 |
Dec 01, 2016 | $1.35 | $1.41 | $1.35 | $1.41 | 614 304 |
Nov 30, 2016 | $1.33 | $1.38 | $1.32 | $1.34 | 507 979 |
Nov 29, 2016 | $1.30 | $1.35 | $1.30 | $1.32 | 551 238 |
Nov 28, 2016 | $1.43 | $1.44 | $1.31 | $1.31 | 775 304 |
Nov 25, 2016 | $1.37 | $1.47 | $1.35 | $1.40 | 1 731 227 |
Nov 23, 2016 | $1.24 | $1.37 | $1.22 | $1.35 | 976 863 |
Nov 22, 2016 | $1.29 | $1.37 | $1.20 | $1.22 | 1 114 527 |
Nov 21, 2016 | $1.24 | $1.29 | $1.21 | $1.29 | 729 739 |
Nov 18, 2016 | $1.20 | $1.25 | $1.18 | $1.23 | 869 351 |
Nov 17, 2016 | $1.12 | $1.19 | $1.11 | $1.17 | 841 989 |
Nov 16, 2016 | $1.10 | $1.13 | $1.07 | $1.12 | 711 327 |
Nov 15, 2016 | $1.09 | $1.11 | $1.07 | $1.10 | 373 156 |
Nov 14, 2016 | $1.06 | $1.10 | $1.06 | $1.06 | 498 268 |
Nov 11, 2016 | $1.10 | $1.11 | $1.03 | $1.05 | 522 581 |
Nov 10, 2016 | $1.09 | $1.11 | $1.05 | $1.09 | 653 398 |
Nov 09, 2016 | $1.06 | $1.10 | $1.05 | $1.09 | 304 391 |
Nov 08, 2016 | $1.04 | $1.07 | $1.04 | $1.06 | 235 556 |
Nov 07, 2016 | $1.07 | $1.07 | $1.04 | $1.04 | 317 000 |
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 VVUS stock historical prices to predict future price movements?
Trend Analysis: Examine the VVUS 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 VVUS 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.