OTCBB:TCNNF
Trulieve Cannabis Corp Stock Price (Quote)
$11.70
-0.550 (-4.49%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $10.00 | $14.50 | Monday, 20th May 2024 TCNNF stock ended at $11.70. This is 4.49% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 10.04% from a day low at $11.45 to a day high of $12.60. |
90 days | $8.30 | $14.50 | |
52 weeks | $3.42 | $14.50 |
Date | Open | High | Low | Close | Volume |
Nov 17, 2023 | $5.22 | $5.64 | $5.22 | $5.61 | 306 373 |
Nov 16, 2023 | $5.55 | $5.62 | $5.20 | $5.29 | 283 125 |
Nov 15, 2023 | $5.55 | $5.70 | $5.44 | $5.55 | 303 916 |
Nov 14, 2023 | $5.75 | $5.90 | $5.50 | $5.55 | 434 797 |
Nov 13, 2023 | $5.34 | $5.80 | $5.17 | $5.58 | 387 339 |
Nov 10, 2023 | $4.96 | $5.40 | $4.95 | $5.40 | 252 989 |
Nov 09, 2023 | $5.00 | $5.20 | $4.90 | $4.98 | 416 816 |
Nov 08, 2023 | $4.74 | $5.09 | $4.71 | $4.90 | 312 483 |
Nov 07, 2023 | $4.76 | $4.86 | $4.63 | $4.75 | 123 750 |
Nov 06, 2023 | $4.91 | $4.91 | $4.64 | $4.73 | 167 292 |
Nov 03, 2023 | $4.58 | $4.93 | $4.56 | $4.78 | 185 738 |
Nov 02, 2023 | $4.40 | $4.83 | $4.34 | $4.68 | 287 820 |
Nov 01, 2023 | $4.60 | $4.60 | $4.33 | $4.40 | 291 777 |
Oct 31, 2023 | $4.05 | $4.50 | $3.90 | $4.50 | 280 494 |
Oct 30, 2023 | $3.79 | $4.10 | $3.79 | $3.99 | 382 765 |
Oct 27, 2023 | $3.93 | $4.03 | $3.79 | $3.85 | 381 291 |
Oct 26, 2023 | $4.22 | $4.34 | $3.83 | $3.85 | 533 721 |
Oct 25, 2023 | $4.44 | $4.59 | $4.16 | $4.25 | 326 687 |
Oct 24, 2023 | $4.71 | $4.85 | $4.45 | $4.57 | 336 642 |
Oct 23, 2023 | $4.90 | $5.10 | $4.70 | $4.72 | 287 616 |
Oct 20, 2023 | $4.91 | $5.08 | $4.76 | $5.00 | 188 146 |
Oct 19, 2023 | $5.05 | $5.14 | $4.90 | $4.99 | 176 211 |
Oct 18, 2023 | $5.01 | $5.47 | $4.87 | $5.04 | 377 094 |
Oct 17, 2023 | $5.01 | $5.50 | $4.91 | $5.24 | 382 584 |
Oct 16, 2023 | $4.99 | $5.18 | $4.90 | $5.05 | 132 838 |
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 TCNNF stock historical prices to predict future price movements?
Trend Analysis: Examine the TCNNF 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 TCNNF 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.