NYSE:AUY
Delisted
Yamana Gold Inc Stock Price (Quote)
$5.85
+0 (+0%)
At Close: Jun 30, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.85 | $5.85 | Friday, 30th Jun 2023 AUY stock ended at $5.85. During the day the stock fluctuated 0% from a day low at $5.85 to a day high of $5.85. |
90 days | $5.85 | $5.85 | |
52 weeks | $3.88 | $6.26 |
Date | Open | High | Low | Close | Volume |
May 05, 2016 | $4.42 | $4.58 | $4.38 | $4.50 | 16 011 326 |
May 04, 2016 | $4.33 | $4.56 | $4.08 | $4.22 | 18 398 546 |
May 03, 2016 | $4.74 | $4.78 | $4.44 | $4.55 | 13 784 235 |
May 02, 2016 | $5.13 | $5.13 | $4.65 | $4.71 | 23 895 998 |
Apr 29, 2016 | $4.70 | $4.99 | $4.68 | $4.95 | 23 809 924 |
Apr 28, 2016 | $4.41 | $4.65 | $4.36 | $4.56 | 13 444 406 |
Apr 27, 2016 | $4.39 | $4.40 | $4.21 | $4.32 | 12 335 030 |
Apr 26, 2016 | $4.24 | $4.35 | $4.13 | $4.35 | 9 305 850 |
Apr 25, 2016 | $4.32 | $4.33 | $4.16 | $4.21 | 11 005 200 |
Apr 22, 2016 | $4.34 | $4.43 | $4.18 | $4.26 | 14 904 193 |
Apr 21, 2016 | $4.47 | $4.52 | $4.30 | $4.38 | 19 629 764 |
Apr 20, 2016 | $4.45 | $4.54 | $4.27 | $4.28 | 20 361 398 |
Apr 19, 2016 | $4.37 | $4.45 | $4.31 | $4.40 | 18 825 098 |
Apr 18, 2016 | $4.13 | $4.19 | $4.07 | $4.17 | 13 616 509 |
Apr 15, 2016 | $3.89 | $4.08 | $3.85 | $4.03 | 15 617 841 |
Apr 14, 2016 | $3.95 | $4.03 | $3.72 | $3.81 | 18 122 829 |
Apr 13, 2016 | $4.00 | $4.10 | $3.95 | $4.00 | 13 707 906 |
Apr 12, 2016 | $4.01 | $4.18 | $3.91 | $4.12 | 26 767 818 |
Apr 11, 2016 | $3.76 | $3.98 | $3.75 | $3.97 | 32 012 646 |
Apr 08, 2016 | $3.29 | $3.67 | $3.29 | $3.59 | 20 796 649 |
Apr 07, 2016 | $3.19 | $3.31 | $3.17 | $3.29 | 13 800 009 |
Apr 06, 2016 | $3.06 | $3.12 | $3.01 | $3.11 | 7 313 732 |
Apr 05, 2016 | $3.09 | $3.11 | $2.98 | $3.10 | 10 010 877 |
Apr 04, 2016 | $3.07 | $3.10 | $3.00 | $3.03 | 9 117 579 |
Apr 01, 2016 | $2.95 | $3.11 | $2.91 | $3.10 | 9 390 814 |
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 AUY stock historical prices to predict future price movements?
Trend Analysis: Examine the AUY 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 AUY 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.