NASDAQ:CHW
Calamos Global Dynamic Income Fund Stock Price (Quote)
$6.66
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.36 | $6.79 | Friday, 31st May 2024 CHW stock ended at $6.66. During the day the stock fluctuated 1.74% from a day low at $6.60 to a day high of $6.71. |
90 days | $6.13 | $6.79 | |
52 weeks | $5.07 | $6.79 |
Historical Calamos Global Dynamic Income Fund prices
Date | Open | High | Low | Close | Volume |
Sep 20, 2022 | $7.06 | $7.09 | $6.92 | $6.99 | 170 275 |
Sep 19, 2022 | $6.86 | $7.00 | $6.86 | $6.99 | 115 090 |
Sep 16, 2022 | $7.05 | $7.09 | $6.87 | $6.88 | 348 972 |
Sep 15, 2022 | $7.26 | $7.29 | $7.11 | $7.15 | 151 006 |
Sep 14, 2022 | $7.31 | $7.36 | $7.22 | $7.27 | 129 500 |
Sep 13, 2022 | $7.25 | $7.36 | $7.22 | $7.30 | 179 220 |
Sep 12, 2022 | $7.47 | $7.47 | $7.36 | $7.43 | 159 794 |
Sep 09, 2022 | $7.27 | $7.52 | $7.27 | $7.43 | 162 511 |
Sep 08, 2022 | $7.24 | $7.34 | $7.23 | $7.26 | 129 950 |
Sep 07, 2022 | $7.21 | $7.30 | $7.19 | $7.30 | 181 813 |
Sep 06, 2022 | $7.21 | $7.27 | $7.11 | $7.24 | 112 076 |
Sep 02, 2022 | $7.19 | $7.25 | $7.10 | $7.16 | 152 590 |
Sep 01, 2022 | $7.10 | $7.19 | $7.02 | $7.16 | 158 254 |
Aug 31, 2022 | $7.16 | $7.21 | $7.13 | $7.14 | 125 337 |
Aug 30, 2022 | $7.21 | $7.24 | $7.11 | $7.18 | 146 989 |
Aug 29, 2022 | $7.22 | $7.31 | $7.18 | $7.20 | 112 911 |
Aug 26, 2022 | $7.47 | $7.48 | $7.23 | $7.25 | 121 097 |
Aug 25, 2022 | $7.39 | $7.46 | $7.36 | $7.46 | 78 956 |
Aug 24, 2022 | $7.32 | $7.41 | $7.32 | $7.37 | 96 048 |
Aug 23, 2022 | $7.34 | $7.44 | $7.27 | $7.31 | 165 265 |
Aug 22, 2022 | $7.53 | $7.53 | $7.32 | $7.35 | 356 972 |
Aug 19, 2022 | $7.53 | $7.57 | $7.46 | $7.54 | 354 179 |
Aug 18, 2022 | $7.51 | $7.57 | $7.49 | $7.55 | 193 337 |
Aug 17, 2022 | $7.54 | $7.57 | $7.45 | $7.48 | 141 588 |
Aug 16, 2022 | $7.63 | $7.66 | $7.54 | $7.55 | 171 632 |
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 CHW stock historical prices to predict future price movements?
Trend Analysis: Examine the CHW 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 CHW 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.