TSX:WEED
Canopy Growth Corporation Stock Price (Quote)
$13.46
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.39 | $20.50 | Thursday, 16th May 2024 WEED.TO stock ended at $13.46. During the day the stock fluctuated 0% from a day low at $13.46 to a day high of $13.46. |
90 days | $3.74 | $20.50 | |
52 weeks | $0.455 | $20.50 |
Date | Open | High | Low | Close | Volume |
Jun 23, 2023 | $0.720 | $0.750 | $0.655 | $0.680 | 3 781 665 |
Jun 22, 2023 | $0.80 | $0.80 | $0.740 | $0.770 | 3 101 855 |
Jun 21, 2023 | $0.780 | $0.83 | $0.770 | $0.80 | 1 915 924 |
Jun 20, 2023 | $0.83 | $0.84 | $0.790 | $0.80 | 1 339 769 |
Jun 19, 2023 | $0.83 | $0.85 | $0.82 | $0.85 | 593 147 |
Jun 16, 2023 | $0.86 | $0.88 | $0.83 | $0.83 | 8 948 089 |
Jun 15, 2023 | $0.87 | $0.87 | $0.85 | $0.86 | 1 274 048 |
Jun 14, 2023 | $0.92 | $0.95 | $0.87 | $0.88 | 1 255 987 |
Jun 13, 2023 | $0.99 | $0.99 | $0.92 | $0.95 | 1 678 742 |
Jun 12, 2023 | $0.92 | $0.99 | $0.89 | $0.97 | 3 739 389 |
Jun 09, 2023 | $0.93 | $0.94 | $0.88 | $0.91 | 1 678 087 |
Jun 08, 2023 | $0.99 | $0.99 | $0.92 | $0.92 | 2 469 501 |
Jun 07, 2023 | $0.98 | $1.03 | $0.96 | $0.98 | 2 699 487 |
Jun 06, 2023 | $1.04 | $1.04 | $0.96 | $0.99 | 2 928 886 |
Jun 05, 2023 | $1.15 | $1.15 | $1.04 | $1.05 | 1 351 989 |
Jun 02, 2023 | $1.15 | $1.17 | $1.10 | $1.14 | 682 326 |
Jun 01, 2023 | $1.15 | $1.16 | $1.10 | $1.14 | 683 012 |
May 31, 2023 | $1.14 | $1.16 | $1.08 | $1.13 | 1 163 544 |
May 30, 2023 | $1.20 | $1.22 | $1.14 | $1.16 | 1 107 727 |
May 29, 2023 | $1.22 | $1.26 | $1.18 | $1.23 | 588 955 |
May 26, 2023 | $1.20 | $1.24 | $1.13 | $1.20 | 2 112 939 |
May 25, 2023 | $1.42 | $1.42 | $1.19 | $1.21 | 2 867 829 |
May 24, 2023 | $1.43 | $1.45 | $1.41 | $1.41 | 626 033 |
May 23, 2023 | $1.58 | $1.58 | $1.41 | $1.42 | 1 755 587 |
May 19, 2023 | $1.42 | $1.50 | $1.39 | $1.45 | 1 354 866 |
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 WEED.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the WEED.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 WEED.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.