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 |
Jul 18, 2017 | $8.19 | $8.37 | $7.98 | $8.14 | 1 353 076 |
Jul 17, 2017 | $7.90 | $8.28 | $7.87 | $8.21 | 1 452 537 |
Jul 14, 2017 | $7.86 | $7.94 | $7.82 | $7.83 | 353 980 |
Jul 13, 2017 | $7.96 | $8.03 | $7.84 | $7.86 | 932 099 |
Jul 12, 2017 | $7.85 | $8.07 | $7.84 | $8.03 | 1 083 650 |
Jul 11, 2017 | $7.89 | $7.92 | $7.76 | $7.81 | 390 756 |
Jul 10, 2017 | $7.84 | $7.87 | $7.73 | $7.80 | 481 469 |
Jul 07, 2017 | $7.91 | $7.98 | $7.80 | $7.80 | 440 674 |
Jul 06, 2017 | $8.00 | $8.03 | $7.87 | $7.89 | 394 005 |
Jul 05, 2017 | $8.10 | $8.13 | $7.98 | $8.03 | 369 351 |
Jul 03, 2017 | $7.97 | $7.97 | $7.97 | $7.97 | 0 |
Jun 30, 2017 | $7.91 | $7.98 | $7.82 | $7.97 | 435 718 |
Jun 29, 2017 | $8.25 | $8.25 | $7.86 | $7.95 | 792 997 |
Jun 28, 2017 | $7.97 | $8.31 | $7.80 | $8.18 | 1 526 168 |
Jun 27, 2017 | $8.02 | $8.23 | $7.81 | $7.99 | 2 072 972 |
Jun 26, 2017 | $8.69 | $8.81 | $8.35 | $8.46 | 1 750 282 |
Jun 23, 2017 | $8.60 | $8.69 | $8.27 | $8.41 | 1 253 630 |
Jun 22, 2017 | $8.30 | $8.59 | $8.25 | $8.56 | 1 834 801 |
Jun 21, 2017 | $7.90 | $8.20 | $7.86 | $8.20 | 957 324 |
Jun 20, 2017 | $7.91 | $7.98 | $7.74 | $7.90 | 410 527 |
Jun 19, 2017 | $7.95 | $8.07 | $7.83 | $7.95 | 889 347 |
Jun 16, 2017 | $7.50 | $7.86 | $7.47 | $7.82 | 1 009 032 |
Jun 15, 2017 | $7.56 | $7.60 | $7.41 | $7.51 | 576 764 |
Jun 14, 2017 | $7.72 | $7.92 | $7.53 | $7.60 | 839 206 |
Jun 13, 2017 | $8.09 | $8.24 | $7.71 | $7.76 | 1 583 768 |
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.