NYSE:MUX
McEwen Mining Inc Stock Price (Quote)
$11.93
+0.600 (+5.30%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.81 | $12.50 | Monday, 20th May 2024 MUX stock ended at $11.93. This is 5.30% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 6.60% from a day low at $11.24 to a day high of $11.98. |
90 days | $5.92 | $12.50 | |
52 weeks | $5.92 | $12.50 |
Date | Open | High | Low | Close | Volume |
Sep 08, 2023 | $7.03 | $7.26 | $6.91 | $6.93 | 259 130 |
Sep 07, 2023 | $7.12 | $7.14 | $6.98 | $7.02 | 193 197 |
Sep 06, 2023 | $7.16 | $7.30 | $7.07 | $7.14 | 330 850 |
Sep 05, 2023 | $7.70 | $7.68 | $7.09 | $7.23 | 853 246 |
Sep 01, 2023 | $8.19 | $8.27 | $7.75 | $7.86 | 620 881 |
Aug 31, 2023 | $8.29 | $8.37 | $7.89 | $8.09 | 410 193 |
Aug 30, 2023 | $8.42 | $8.49 | $8.21 | $8.28 | 459 365 |
Aug 29, 2023 | $7.94 | $8.32 | $7.87 | $8.29 | 498 354 |
Aug 28, 2023 | $7.41 | $7.97 | $7.41 | $7.96 | 540 449 |
Aug 25, 2023 | $7.55 | $7.67 | $7.23 | $7.42 | 366 305 |
Aug 24, 2023 | $7.94 | $7.94 | $7.54 | $7.58 | 542 007 |
Aug 23, 2023 | $7.55 | $7.97 | $7.44 | $7.91 | 687 704 |
Aug 22, 2023 | $6.92 | $7.39 | $7.00 | $7.38 | 596 949 |
Aug 21, 2023 | $6.87 | $7.01 | $6.65 | $6.90 | 478 662 |
Aug 18, 2023 | $6.70 | $6.85 | $6.65 | $6.83 | 363 627 |
Aug 17, 2023 | $6.78 | $6.85 | $6.64 | $6.74 | 373 870 |
Aug 16, 2023 | $7.00 | $7.03 | $6.71 | $6.71 | 427 231 |
Aug 15, 2023 | $7.18 | $7.26 | $7.03 | $7.03 | 344 842 |
Aug 14, 2023 | $7.29 | $7.40 | $7.10 | $7.27 | 327 903 |
Aug 11, 2023 | $7.00 | $7.56 | $7.03 | $7.40 | 330 162 |
Aug 10, 2023 | $7.50 | $7.51 | $7.03 | $7.08 | 312 714 |
Aug 09, 2023 | $7.52 | $7.56 | $7.23 | $7.26 | 238 110 |
Aug 08, 2023 | $7.41 | $7.60 | $7.27 | $7.51 | 275 249 |
Aug 07, 2023 | $7.70 | $7.74 | $7.43 | $7.50 | 272 012 |
Aug 04, 2023 | $7.91 | $8.07 | $7.73 | $7.75 | 317 069 |
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 MUX stock historical prices to predict future price movements?
Trend Analysis: Examine the MUX 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 MUX 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.