TSX:ZWU
BMO Covered Call Utilities ETF Price (Quote)
$10.50
+0.0200 (+0.191%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.69 | $10.50 | Friday, 17th May 2024 ZWU.TO stock ended at $10.50. This is 0.191% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.382% from a day low at $10.46 to a day high of $10.50. |
90 days | $9.67 | $10.50 | |
52 weeks | $9.27 | $11.32 |
Date | Open | High | Low | Close | Volume |
May 17, 2024 | $10.48 | $10.50 | $10.46 | $10.50 | 136 119 |
May 16, 2024 | $10.46 | $10.50 | $10.46 | $10.48 | 111 959 |
May 15, 2024 | $10.42 | $10.49 | $10.42 | $10.48 | 249 581 |
May 14, 2024 | $10.39 | $10.42 | $10.38 | $10.39 | 272 995 |
May 13, 2024 | $10.38 | $10.42 | $10.38 | $10.39 | 104 524 |
May 10, 2024 | $10.37 | $10.39 | $10.36 | $10.39 | 126 949 |
May 09, 2024 | $10.32 | $10.36 | $10.30 | $10.36 | 232 170 |
May 08, 2024 | $10.22 | $10.32 | $10.22 | $10.32 | 274 781 |
May 07, 2024 | $10.22 | $10.25 | $10.22 | $10.25 | 159 898 |
May 06, 2024 | $10.16 | $10.21 | $10.16 | $10.21 | 184 934 |
May 03, 2024 | $10.12 | $10.17 | $10.10 | $10.16 | 269 886 |
May 02, 2024 | $10.07 | $10.09 | $10.01 | $10.09 | 177 274 |
May 01, 2024 | $9.97 | $10.10 | $9.94 | $10.05 | 254 452 |
Apr 30, 2024 | $9.97 | $10.02 | $9.96 | $9.97 | 96 631 |
Apr 29, 2024 | $9.95 | $10.02 | $9.95 | $10.00 | 116 109 |
Apr 26, 2024 | $9.99 | $9.99 | $9.93 | $9.93 | 170 429 |
Apr 25, 2024 | $10.02 | $10.05 | $9.96 | $10.03 | 194 613 |
Apr 24, 2024 | $10.02 | $10.07 | $10.00 | $10.06 | 182 282 |
Apr 23, 2024 | $9.97 | $10.06 | $9.97 | $10.04 | 138 599 |
Apr 22, 2024 | $9.95 | $10.00 | $9.93 | $9.99 | 88 547 |
Apr 19, 2024 | $9.81 | $9.97 | $9.81 | $9.96 | 215 216 |
Apr 18, 2024 | $9.80 | $9.84 | $9.74 | $9.84 | 122 955 |
Apr 17, 2024 | $9.69 | $9.77 | $9.69 | $9.76 | 260 759 |
Apr 16, 2024 | $9.80 | $9.80 | $9.67 | $9.69 | 253 339 |
Apr 15, 2024 | $9.90 | $9.91 | $9.75 | $9.80 | 390 935 |
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 ZWU.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the ZWU.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 ZWU.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.