NASDAQ:VRA
Vera Bradley Stock Price (Quote)
$7.76
-0.0600 (-0.767%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.40 | $7.95 | Monday, 20th May 2024 VRA stock ended at $7.76. This is 0.767% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 3.11% from a day low at $7.71 to a day high of $7.95. |
90 days | $5.87 | $7.95 | |
52 weeks | $4.60 | $8.35 |
Date | Open | High | Low | Close | Volume |
Feb 01, 2024 | $7.71 | $7.89 | $7.59 | $7.87 | 359 779 |
Jan 31, 2024 | $7.89 | $7.90 | $7.61 | $7.68 | 290 580 |
Jan 30, 2024 | $7.81 | $7.90 | $7.76 | $7.90 | 187 004 |
Jan 29, 2024 | $7.80 | $7.83 | $7.70 | $7.82 | 168 782 |
Jan 26, 2024 | $7.77 | $7.85 | $7.70 | $7.80 | 179 598 |
Jan 25, 2024 | $7.70 | $7.81 | $7.67 | $7.79 | 168 358 |
Jan 24, 2024 | $7.72 | $7.77 | $7.51 | $7.60 | 216 348 |
Jan 23, 2024 | $7.80 | $7.85 | $7.64 | $7.68 | 183 829 |
Jan 22, 2024 | $7.45 | $7.74 | $7.44 | $7.73 | 217 148 |
Jan 19, 2024 | $7.49 | $7.49 | $7.21 | $7.45 | 376 968 |
Jan 18, 2024 | $7.48 | $7.53 | $7.12 | $7.46 | 677 112 |
Jan 17, 2024 | $7.11 | $7.50 | $7.11 | $7.44 | 486 945 |
Jan 16, 2024 | $7.03 | $7.18 | $6.98 | $7.16 | 559 353 |
Jan 12, 2024 | $7.20 | $7.26 | $6.99 | $7.08 | 353 503 |
Jan 11, 2024 | $7.17 | $7.17 | $6.99 | $7.14 | 324 666 |
Jan 10, 2024 | $7.25 | $7.44 | $7.12 | $7.17 | 648 975 |
Jan 09, 2024 | $7.28 | $7.28 | $7.14 | $7.25 | 355 734 |
Jan 08, 2024 | $7.10 | $7.42 | $7.09 | $7.35 | 286 439 |
Jan 05, 2024 | $7.22 | $7.31 | $6.89 | $7.09 | 478 165 |
Jan 04, 2024 | $7.51 | $7.53 | $7.21 | $7.24 | 429 531 |
Jan 03, 2024 | $7.44 | $7.62 | $7.43 | $7.50 | 323 035 |
Jan 02, 2024 | $7.63 | $7.66 | $7.36 | $7.49 | 378 949 |
Dec 29, 2023 | $7.70 | $7.75 | $7.65 | $7.70 | 619 010 |
Dec 28, 2023 | $7.75 | $7.80 | $7.66 | $7.71 | 162 596 |
Dec 27, 2023 | $7.79 | $7.83 | $7.71 | $7.80 | 154 004 |
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 VRA stock historical prices to predict future price movements?
Trend Analysis: Examine the VRA 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 VRA 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.