OTCBB:AYRWF
Ayr Strategies Inc. Stock Price (Quote)
$2.70
-0.170 (-5.92%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.21 | $3.46 | Friday, 17th May 2024 AYRWF stock ended at $2.70. This is 5.92% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 16.86% from a day low at $2.60 to a day high of $3.04. |
90 days | $1.65 | $3.46 | |
52 weeks | $0.790 | $4.09 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2024 | $3.60 | $3.61 | $3.30 | $3.52 | 266 402 |
Jan 30, 2024 | $3.32 | $3.60 | $3.28 | $3.45 | 346 276 |
Jan 29, 2024 | $3.08 | $3.39 | $2.99 | $3.37 | 442 452 |
Jan 26, 2024 | $3.48 | $3.55 | $3.21 | $3.27 | 294 757 |
Jan 25, 2024 | $3.27 | $3.49 | $3.23 | $3.43 | 517 146 |
Jan 24, 2024 | $3.09 | $3.33 | $3.00 | $3.21 | 397 129 |
Jan 23, 2024 | $3.09 | $3.09 | $2.97 | $3.01 | 188 754 |
Jan 22, 2024 | $3.04 | $3.19 | $3.01 | $3.01 | 238 824 |
Jan 19, 2024 | $2.98 | $3.10 | $2.66 | $2.99 | 294 037 |
Jan 18, 2024 | $2.90 | $3.10 | $2.80 | $2.83 | 214 397 |
Jan 17, 2024 | $3.03 | $3.10 | $2.82 | $3.07 | 352 627 |
Jan 16, 2024 | $2.85 | $3.47 | $2.84 | $3.03 | 891 063 |
Jan 12, 2024 | $2.18 | $2.53 | $2.17 | $2.46 | 340 062 |
Jan 11, 2024 | $1.98 | $2.22 | $1.97 | $2.20 | 109 901 |
Jan 10, 2024 | $2.15 | $2.16 | $1.98 | $1.98 | 74 531 |
Jan 09, 2024 | $2.20 | $2.25 | $2.06 | $2.16 | 109 353 |
Jan 08, 2024 | $2.05 | $2.48 | $2.05 | $2.18 | 393 825 |
Jan 05, 2024 | $1.99 | $2.39 | $1.91 | $2.23 | 402 170 |
Jan 04, 2024 | $2.01 | $2.14 | $1.95 | $1.95 | 234 432 |
Jan 03, 2024 | $1.85 | $2.07 | $1.80 | $2.00 | 258 526 |
Jan 02, 2024 | $1.83 | $1.94 | $1.78 | $1.83 | 92 848 |
Dec 29, 2023 | $1.76 | $1.86 | $1.72 | $1.80 | 156 561 |
Dec 28, 2023 | $1.85 | $1.95 | $1.75 | $1.78 | 220 209 |
Dec 27, 2023 | $2.03 | $2.09 | $1.85 | $1.85 | 191 375 |
Dec 26, 2023 | $1.89 | $2.15 | $1.83 | $1.97 | 303 844 |
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 AYRWF stock historical prices to predict future price movements?
Trend Analysis: Examine the AYRWF 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 AYRWF 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.