NYSE:PVG
Delisted
Pretium Resources Inc Stock Price (Quote)
$15.05
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $15.05 | $15.05 | Wednesday, 20th Jul 2022 PVG stock ended at $15.05. During the day the stock fluctuated 0% from a day low at $15.05 to a day high of $15.05. |
90 days | $15.05 | $15.05 | |
52 weeks | $8.29 | $15.64 |
Date | Open | High | Low | Close | Volume |
Mar 11, 2016 | $5.37 | $5.44 | $5.01 | $5.10 | 1 765 100 |
Mar 10, 2016 | $5.24 | $5.45 | $5.17 | $5.33 | 2 248 300 |
Mar 09, 2016 | $5.01 | $5.33 | $4.92 | $5.18 | 2 693 500 |
Mar 08, 2016 | $5.47 | $5.56 | $5.02 | $5.11 | 2 354 100 |
Mar 07, 2016 | $5.70 | $5.76 | $5.30 | $5.45 | 2 412 100 |
Mar 04, 2016 | $5.12 | $5.83 | $5.11 | $5.63 | 4 922 300 |
Mar 03, 2016 | $4.71 | $5.37 | $4.70 | $5.30 | 2 205 500 |
Mar 02, 2016 | $4.54 | $4.71 | $4.48 | $4.68 | 1 244 800 |
Mar 01, 2016 | $4.75 | $4.75 | $4.48 | $4.52 | 1 181 200 |
Feb 29, 2016 | $4.55 | $4.68 | $4.51 | $4.66 | 1 057 200 |
Feb 26, 2016 | $4.53 | $4.63 | $4.43 | $4.47 | 1 653 100 |
Feb 25, 2016 | $4.58 | $4.69 | $4.54 | $4.61 | 1 374 100 |
Feb 24, 2016 | $4.66 | $4.73 | $4.51 | $4.57 | 3 593 600 |
Feb 23, 2016 | $4.52 | $4.69 | $4.48 | $4.52 | 6 712 300 |
Feb 22, 2016 | $5.00 | $5.16 | $4.96 | $5.06 | 954 000 |
Feb 19, 2016 | $5.08 | $5.26 | $4.99 | $5.13 | 1 134 800 |
Feb 18, 2016 | $4.83 | $5.18 | $4.76 | $5.11 | 1 366 200 |
Feb 17, 2016 | $4.86 | $5.02 | $4.72 | $4.84 | 1 310 300 |
Feb 16, 2016 | $5.03 | $5.12 | $4.75 | $4.75 | 1 040 200 |
Feb 12, 2016 | $4.92 | $5.25 | $4.92 | $5.23 | 847 600 |
Feb 11, 2016 | $5.17 | $5.35 | $5.03 | $5.03 | 1 457 600 |
Feb 10, 2016 | $4.82 | $4.86 | $4.63 | $4.82 | 813 900 |
Feb 09, 2016 | $5.07 | $5.23 | $4.83 | $4.86 | 768 500 |
Feb 08, 2016 | $5.12 | $5.28 | $5.01 | $5.02 | 967 600 |
Feb 05, 2016 | $4.72 | $5.00 | $4.61 | $4.97 | 703 500 |
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 PVG stock historical prices to predict future price movements?
Trend Analysis: Examine the PVG 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 PVG 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.