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 |
Nov 01, 2016 | $3.68 | $3.71 | $3.59 | $3.59 | 19 665 700 |
Oct 31, 2016 | $3.49 | $3.58 | $3.40 | $3.56 | 17 346 600 |
Oct 28, 2016 | $3.51 | $3.61 | $3.38 | $3.42 | 27 165 700 |
Oct 27, 2016 | $3.70 | $3.73 | $3.53 | $3.60 | 23 854 200 |
Oct 26, 2016 | $3.87 | $3.87 | $3.60 | $3.68 | 27 240 400 |
Oct 25, 2016 | $3.75 | $3.95 | $3.74 | $3.84 | 20 231 300 |
Oct 24, 2016 | $3.88 | $3.88 | $3.63 | $3.73 | 21 615 200 |
Oct 21, 2016 | $3.84 | $3.89 | $3.80 | $3.82 | 15 562 300 |
Oct 20, 2016 | $3.90 | $3.92 | $3.79 | $3.89 | 16 980 100 |
Oct 19, 2016 | $3.89 | $3.93 | $3.77 | $3.87 | 23 972 400 |
Oct 18, 2016 | $3.75 | $3.82 | $3.70 | $3.79 | 21 377 200 |
Oct 17, 2016 | $3.68 | $3.76 | $3.64 | $3.69 | 19 041 100 |
Oct 14, 2016 | $3.78 | $3.82 | $3.64 | $3.65 | 16 967 700 |
Oct 13, 2016 | $3.74 | $3.91 | $3.66 | $3.76 | 21 763 700 |
Oct 12, 2016 | $3.68 | $3.79 | $3.61 | $3.72 | 21 327 000 |
Oct 11, 2016 | $3.75 | $3.76 | $3.61 | $3.64 | 25 461 800 |
Oct 10, 2016 | $3.75 | $3.82 | $3.71 | $3.75 | 16 410 700 |
Oct 07, 2016 | $3.77 | $3.84 | $3.59 | $3.66 | 26 565 900 |
Oct 06, 2016 | $3.63 | $3.77 | $3.56 | $3.67 | 26 938 800 |
Oct 05, 2016 | $3.86 | $3.87 | $3.60 | $3.80 | 21 805 500 |
Oct 04, 2016 | $4.09 | $4.11 | $3.72 | $3.73 | 26 164 900 |
Oct 03, 2016 | $4.31 | $4.38 | $4.21 | $4.29 | 15 111 400 |
Sep 30, 2016 | $4.53 | $4.57 | $4.31 | $4.31 | 16 592 300 |
Sep 29, 2016 | $4.41 | $4.49 | $4.33 | $4.43 | 14 507 500 |
Sep 28, 2016 | $4.35 | $4.52 | $4.25 | $4.46 | 15 390 700 |
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.