NASDAQ:PAYA
Delisted
Paya Holdings Inc. Stock Price (Quote)
$9.74
+0 (+0%)
At Close: May 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.74 | $9.74 | Friday, 19th May 2023 PAYA stock ended at $9.74. During the day the stock fluctuated 0% from a day low at $9.74 to a day high of $9.74. |
90 days | $9.73 | $9.75 | |
52 weeks | $5.12 | $9.75 |
Date | Open | High | Low | Close | Volume |
Dec 28, 2021 | $6.69 | $6.79 | $6.57 | $6.60 | 396 713 |
Dec 27, 2021 | $6.81 | $6.83 | $6.67 | $6.71 | 397 358 |
Dec 23, 2021 | $6.67 | $6.85 | $6.57 | $6.81 | 481 722 |
Dec 22, 2021 | $6.51 | $6.77 | $6.51 | $6.74 | 461 783 |
Dec 21, 2021 | $6.18 | $6.61 | $6.18 | $6.54 | 773 864 |
Dec 20, 2021 | $6.46 | $6.46 | $6.08 | $6.15 | 1 401 737 |
Dec 17, 2021 | $6.44 | $6.72 | $6.06 | $6.63 | 2 273 742 |
Dec 16, 2021 | $6.72 | $6.99 | $6.52 | $6.56 | 1 068 360 |
Dec 15, 2021 | $6.61 | $6.72 | $6.33 | $6.70 | 1 101 443 |
Dec 14, 2021 | $6.32 | $6.62 | $6.32 | $6.61 | 1 707 103 |
Dec 13, 2021 | $6.42 | $6.54 | $6.28 | $6.41 | 718 562 |
Dec 10, 2021 | $6.62 | $6.98 | $6.50 | $6.59 | 819 972 |
Dec 09, 2021 | $6.71 | $6.90 | $6.61 | $6.84 | 1 483 528 |
Dec 08, 2021 | $6.65 | $6.90 | $6.45 | $6.79 | 1 450 872 |
Dec 07, 2021 | $6.62 | $6.80 | $6.50 | $6.61 | 1 671 308 |
Dec 06, 2021 | $6.07 | $6.48 | $5.83 | $6.39 | 1 112 822 |
Dec 03, 2021 | $6.43 | $6.46 | $5.90 | $6.04 | 837 478 |
Dec 02, 2021 | $6.26 | $6.48 | $6.04 | $6.44 | 1 642 531 |
Dec 01, 2021 | $6.59 | $6.63 | $6.13 | $6.16 | 883 203 |
Nov 30, 2021 | $6.56 | $6.72 | $6.17 | $6.44 | 1 531 225 |
Nov 29, 2021 | $6.78 | $6.93 | $6.32 | $6.63 | 1 581 928 |
Nov 26, 2021 | $6.95 | $7.04 | $6.56 | $6.65 | 852 312 |
Nov 24, 2021 | $6.91 | $7.12 | $6.78 | $6.99 | 3 570 926 |
Nov 23, 2021 | $7.24 | $7.48 | $6.82 | $7.01 | 1 610 086 |
Nov 22, 2021 | $7.26 | $7.40 | $6.77 | $7.21 | 1 757 563 |
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 PAYA stock historical prices to predict future price movements?
Trend Analysis: Examine the PAYA 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 PAYA 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.