NYSE:GG
Delisted
Goldcorp Inc Stock Price (Quote)
$11.19
+0 (+0%)
At Close: May 31, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.19 | $11.19 | Friday, 31st May 2019 GG stock ended at $11.19. During the day the stock fluctuated 0% from a day low at $11.19 to a day high of $11.19. |
90 days | $10.53 | $11.80 | |
52 weeks | $8.42 | $14.32 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2018 | $9.39 | $9.84 | $9.32 | $9.68 | 11 133 959 |
Dec 17, 2018 | $9.20 | $9.47 | $9.12 | $9.39 | 9 154 875 |
Dec 14, 2018 | $9.31 | $9.36 | $9.09 | $9.14 | 9 774 092 |
Dec 13, 2018 | $9.65 | $9.66 | $9.39 | $9.46 | 6 321 469 |
Dec 12, 2018 | $9.44 | $9.75 | $9.29 | $9.64 | 7 678 792 |
Dec 11, 2018 | $9.64 | $9.76 | $9.41 | $9.50 | 6 353 047 |
Dec 10, 2018 | $9.38 | $9.92 | $9.32 | $9.57 | 14 888 158 |
Dec 07, 2018 | $9.51 | $9.58 | $9.16 | $9.43 | 10 753 655 |
Dec 06, 2018 | $9.51 | $9.69 | $9.32 | $9.45 | 10 357 940 |
Dec 04, 2018 | $9.51 | $9.67 | $9.40 | $9.52 | 7 792 013 |
Dec 03, 2018 | $9.46 | $9.49 | $9.22 | $9.45 | 8 498 729 |
Nov 30, 2018 | $9.35 | $9.39 | $9.13 | $9.28 | 7 218 813 |
Nov 29, 2018 | $9.57 | $9.66 | $9.42 | $9.43 | 5 373 886 |
Nov 28, 2018 | $9.31 | $9.56 | $9.21 | $9.51 | 7 193 110 |
Nov 27, 2018 | $9.57 | $9.59 | $9.23 | $9.37 | 6 693 434 |
Nov 26, 2018 | $9.63 | $9.80 | $9.50 | $9.56 | 6 485 902 |
Nov 23, 2018 | $9.77 | $9.79 | $9.40 | $9.42 | 4 600 497 |
Nov 21, 2018 | $9.56 | $9.92 | $9.56 | $9.81 | 8 399 431 |
Nov 20, 2018 | $9.50 | $9.60 | $9.27 | $9.50 | 10 149 830 |
Nov 19, 2018 | $9.38 | $9.64 | $9.36 | $9.48 | 7 585 708 |
Nov 16, 2018 | $9.48 | $9.59 | $9.42 | $9.44 | 9 041 473 |
Nov 15, 2018 | $9.19 | $9.35 | $9.10 | $9.27 | 7 953 242 |
Nov 14, 2018 | $8.85 | $9.30 | $8.83 | $9.14 | 8 443 571 |
Nov 13, 2018 | $9.00 | $9.13 | $8.84 | $8.88 | 6 518 477 |
Nov 12, 2018 | $9.10 | $9.20 | $8.98 | $9.00 | 7 150 766 |
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 GG stock historical prices to predict future price movements?
Trend Analysis: Examine the GG 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 GG 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.