TSX:IMG
IAMGOLD Corporation Stock Price (Quote)
$5.31
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.88 | $6.24 | Friday, 24th May 2024 IMG.TO stock ended at $5.31. During the day the stock fluctuated 0% from a day low at $5.31 to a day high of $5.31. |
90 days | $3.44 | $6.24 | |
52 weeks | $2.71 | $6.24 |
Date | Open | High | Low | Close | Volume |
Sep 13, 2023 | $3.13 | $3.14 | $3.05 | $3.09 | 897 200 |
Sep 12, 2023 | $3.02 | $3.22 | $3.02 | $3.12 | 560 600 |
Sep 11, 2023 | $3.05 | $3.09 | $3.02 | $3.03 | 426 000 |
Sep 08, 2023 | $3.07 | $3.10 | $3.00 | $3.00 | 592 300 |
Sep 07, 2023 | $3.13 | $3.13 | $3.05 | $3.05 | 229 780 |
Sep 06, 2023 | $3.18 | $3.22 | $3.14 | $3.15 | 484 402 |
Sep 05, 2023 | $3.26 | $3.31 | $3.16 | $3.20 | 470 473 |
Sep 01, 2023 | $3.39 | $3.44 | $3.31 | $3.32 | 444 628 |
Aug 31, 2023 | $3.34 | $3.37 | $3.29 | $3.35 | 1 442 954 |
Aug 30, 2023 | $3.38 | $3.39 | $3.29 | $3.36 | 561 378 |
Aug 29, 2023 | $3.25 | $3.34 | $3.23 | $3.34 | 586 778 |
Aug 28, 2023 | $3.08 | $3.25 | $3.06 | $3.25 | 568 396 |
Aug 25, 2023 | $3.12 | $3.13 | $3.04 | $3.08 | 474 266 |
Aug 24, 2023 | $3.13 | $3.21 | $3.10 | $3.12 | 983 630 |
Aug 23, 2023 | $3.00 | $3.18 | $3.00 | $3.14 | 590 437 |
Aug 22, 2023 | $2.95 | $2.98 | $2.91 | $2.95 | 241 956 |
Aug 21, 2023 | $2.90 | $2.94 | $2.84 | $2.93 | 435 364 |
Aug 18, 2023 | $2.95 | $2.96 | $2.87 | $2.88 | 370 997 |
Aug 17, 2023 | $2.96 | $3.00 | $2.92 | $2.94 | 340 659 |
Aug 16, 2023 | $3.01 | $3.04 | $2.93 | $2.95 | 622 727 |
Aug 15, 2023 | $3.09 | $3.09 | $3.01 | $3.02 | 446 184 |
Aug 14, 2023 | $3.08 | $3.17 | $3.04 | $3.11 | 457 312 |
Aug 11, 2023 | $3.19 | $3.19 | $3.05 | $3.12 | 626 578 |
Aug 10, 2023 | $3.24 | $3.28 | $3.14 | $3.17 | 425 373 |
Aug 09, 2023 | $3.25 | $3.28 | $3.20 | $3.21 | 349 747 |
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 IMG.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the IMG.TO 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 IMG.TO 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.