CNQ:CL
Cresco Labs Inc. Stock Price (Quote)
$2.97
+0.160 (+5.69%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.63 | $3.58 | Friday, 17th May 2024 CL.CN stock ended at $2.97. This is 5.69% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.46% from a day low at $2.94 to a day high of $3.13. |
90 days | $2.03 | $3.58 | |
52 weeks | $1.35 | $3.78 |
Date | Open | High | Low | Close | Volume |
Apr 12, 2024 | $2.90 | $2.92 | $2.63 | $2.72 | 296 559 |
Apr 11, 2024 | $2.96 | $3.03 | $2.82 | $2.94 | 215 313 |
Apr 10, 2024 | $3.01 | $3.09 | $2.93 | $2.95 | 204 592 |
Apr 09, 2024 | $3.00 | $3.10 | $2.92 | $3.10 | 219 601 |
Apr 08, 2024 | $3.06 | $3.12 | $2.96 | $3.12 | 120 942 |
Apr 05, 2024 | $2.85 | $3.07 | $2.83 | $3.05 | 321 878 |
Apr 04, 2024 | $3.05 | $3.31 | $2.72 | $2.80 | 1 227 719 |
Apr 03, 2024 | $2.90 | $3.07 | $2.82 | $3.04 | 556 878 |
Apr 02, 2024 | $2.99 | $3.02 | $2.85 | $2.95 | 375 473 |
Apr 01, 2024 | $2.80 | $3.04 | $2.80 | $3.04 | 451 008 |
Mar 28, 2024 | $3.04 | $3.07 | $2.78 | $2.78 | 484 272 |
Mar 27, 2024 | $2.83 | $3.05 | $2.71 | $3.05 | 355 706 |
Mar 26, 2024 | $2.78 | $2.81 | $2.70 | $2.81 | 387 998 |
Mar 25, 2024 | $3.01 | $3.05 | $2.70 | $2.70 | 177 454 |
Mar 22, 2024 | $2.95 | $3.06 | $2.92 | $2.92 | 394 633 |
Mar 21, 2024 | $2.85 | $3.04 | $2.71 | $2.97 | 237 925 |
Mar 20, 2024 | $2.83 | $2.83 | $2.74 | $2.79 | 161 904 |
Mar 19, 2024 | $2.89 | $2.90 | $2.68 | $2.81 | 451 127 |
Mar 18, 2024 | $2.69 | $3.03 | $2.66 | $2.86 | 685 456 |
Mar 15, 2024 | $2.39 | $2.67 | $2.33 | $2.57 | 617 473 |
Mar 14, 2024 | $2.32 | $2.50 | $2.25 | $2.28 | 253 649 |
Mar 13, 2024 | $2.19 | $2.44 | $2.12 | $2.38 | 378 084 |
Mar 12, 2024 | $2.04 | $2.15 | $2.04 | $2.12 | 138 742 |
Mar 11, 2024 | $2.14 | $2.16 | $2.03 | $2.04 | 208 659 |
Mar 08, 2024 | $2.16 | $2.20 | $2.09 | $2.12 | 156 403 |
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 CL.CN stock historical prices to predict future price movements?
Trend Analysis: Examine the CL.CN 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 CL.CN 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.