NASDAQ:PLYA
Playa Hotels & Resorts N.V. Stock Price (Quote)
$8.33
-0.210 (-2.46%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.31 | $9.85 | Friday, 17th May 2024 PLYA stock ended at $8.33. This is 2.46% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.13% from a day low at $8.31 to a day high of $8.57. |
90 days | $8.31 | $9.85 | |
52 weeks | $6.88 | $9.85 |
Date | Open | High | Low | Close | Volume |
May 18, 2023 | $9.03 | $9.16 | $8.99 | $9.12 | 465 542 |
May 17, 2023 | $9.01 | $9.19 | $8.94 | $9.06 | 562 019 |
May 16, 2023 | $8.91 | $9.01 | $8.88 | $8.94 | 648 875 |
May 15, 2023 | $8.92 | $9.05 | $8.78 | $8.98 | 891 007 |
May 12, 2023 | $8.89 | $8.92 | $8.79 | $8.89 | 521 706 |
May 11, 2023 | $8.91 | $8.91 | $8.70 | $8.88 | 623 551 |
May 10, 2023 | $9.15 | $9.23 | $8.76 | $8.95 | 1 000 026 |
May 09, 2023 | $8.95 | $9.21 | $8.88 | $9.11 | 856 201 |
May 08, 2023 | $9.18 | $9.14 | $8.97 | $8.98 | 1 053 085 |
May 05, 2023 | $8.97 | $9.42 | $8.70 | $9.08 | 2 042 845 |
May 04, 2023 | $9.53 | $9.69 | $9.42 | $9.57 | 1 945 587 |
May 03, 2023 | $9.54 | $9.77 | $9.50 | $9.60 | 1 539 111 |
May 02, 2023 | $9.47 | $9.57 | $9.28 | $9.54 | 1 068 926 |
May 01, 2023 | $9.32 | $9.67 | $9.30 | $9.48 | 871 806 |
Apr 28, 2023 | $9.05 | $9.40 | $9.04 | $9.31 | 803 080 |
Apr 27, 2023 | $9.05 | $9.13 | $8.89 | $9.04 | 787 282 |
Apr 26, 2023 | $9.25 | $9.37 | $8.97 | $9.01 | 1 082 319 |
Apr 25, 2023 | $9.32 | $9.44 | $9.25 | $9.27 | 995 310 |
Apr 24, 2023 | $9.37 | $9.49 | $9.29 | $9.34 | 706 621 |
Apr 21, 2023 | $9.24 | $9.42 | $9.22 | $9.41 | 723 753 |
Apr 20, 2023 | $9.50 | $9.54 | $9.16 | $9.31 | 660 625 |
Apr 19, 2023 | $9.53 | $9.58 | $9.46 | $9.50 | 655 121 |
Apr 18, 2023 | $9.58 | $9.66 | $9.56 | $9.58 | 868 140 |
Apr 17, 2023 | $9.41 | $9.52 | $9.40 | $9.51 | 666 700 |
Apr 14, 2023 | $9.31 | $9.40 | $9.24 | $9.39 | 889 876 |
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 PLYA stock historical prices to predict future price movements?
Trend Analysis: Examine the PLYA 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 PLYA 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.