NYSE:VR
Delisted
Validus Holdings Ltd ETF Price (Quote)
$67.99
+0 (+0%)
At Close: Jan 07, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $67.99 | $67.99 | Monday, 7th Jan 2019 VR stock ended at $67.99. During the day the stock fluctuated 0% from a day low at $67.99 to a day high of $67.99. |
90 days | $67.99 | $67.99 | |
52 weeks | $45.04 | $68.00 |
Date | Open | High | Low | Close | Volume |
Nov 15, 2017 | $50.19 | $50.94 | $50.06 | $50.90 | 567 093 |
Nov 14, 2017 | $50.79 | $50.93 | $50.21 | $50.54 | 693 941 |
Nov 13, 2017 | $52.27 | $52.41 | $50.96 | $51.00 | 1 044 091 |
Nov 10, 2017 | $52.39 | $52.60 | $51.99 | $52.42 | 634 212 |
Nov 09, 2017 | $51.41 | $52.85 | $51.40 | $52.46 | 970 612 |
Nov 08, 2017 | $51.70 | $51.82 | $51.40 | $51.55 | 1 092 991 |
Nov 07, 2017 | $51.92 | $52.37 | $51.51 | $51.66 | 910 705 |
Nov 06, 2017 | $50.83 | $51.88 | $50.82 | $51.84 | 881 264 |
Nov 03, 2017 | $50.97 | $51.31 | $50.27 | $50.86 | 1 569 112 |
Nov 02, 2017 | $52.04 | $52.19 | $50.06 | $51.00 | 1 455 879 |
Nov 01, 2017 | $52.04 | $52.30 | $51.69 | $51.70 | 953 173 |
Oct 31, 2017 | $52.75 | $52.91 | $52.06 | $52.08 | 778 329 |
Oct 30, 2017 | $52.00 | $53.30 | $51.88 | $52.53 | 1 167 005 |
Oct 27, 2017 | $50.46 | $51.51 | $50.02 | $51.25 | 667 275 |
Oct 26, 2017 | $51.15 | $51.25 | $50.54 | $50.85 | 768 933 |
Oct 25, 2017 | $51.57 | $51.58 | $50.77 | $50.87 | 481 134 |
Oct 24, 2017 | $51.78 | $51.97 | $51.23 | $51.46 | 511 812 |
Oct 23, 2017 | $52.00 | $52.00 | $51.35 | $51.43 | 530 528 |
Oct 20, 2017 | $52.64 | $52.73 | $51.79 | $51.88 | 756 286 |
Oct 19, 2017 | $51.69 | $52.34 | $51.61 | $52.33 | 792 657 |
Oct 18, 2017 | $51.86 | $52.09 | $51.53 | $51.95 | 1 025 819 |
Oct 17, 2017 | $51.39 | $51.85 | $50.77 | $51.73 | 1 235 824 |
Oct 16, 2017 | $51.05 | $51.46 | $50.76 | $51.41 | 1 200 678 |
Oct 13, 2017 | $49.73 | $51.50 | $49.73 | $51.15 | 1 222 246 |
Oct 12, 2017 | $49.53 | $49.81 | $49.51 | $49.74 | 1 253 462 |
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 VR stock historical prices to predict future price movements?
Trend Analysis: Examine the VR 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 VR 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.