NASDAQ:PYPL
Paypal Stock Price (Quote)
$62.17
+0.530 (+0.86%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $61.22 | $70.66 | Tuesday, 28th May 2024 PYPL stock ended at $62.17. This is 0.86% more than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 1.80% from a day low at $61.75 to a day high of $62.86. |
90 days | $57.87 | $70.66 | |
52 weeks | $50.25 | $76.54 |
Historical PayPal Holdings prices
Date | Open | High | Low | Close | Volume |
Dec 13, 2016 | $39.55 | $39.74 | $39.39 | $39.43 | 6 224 129 |
Dec 12, 2016 | $39.60 | $39.90 | $39.35 | $39.43 | 4 448 236 |
Dec 09, 2016 | $39.70 | $39.79 | $39.38 | $39.65 | 3 921 401 |
Dec 08, 2016 | $39.68 | $40.00 | $39.45 | $39.61 | 6 099 803 |
Dec 07, 2016 | $39.08 | $39.46 | $38.80 | $39.45 | 6 999 483 |
Dec 06, 2016 | $39.23 | $39.26 | $38.71 | $38.98 | 5 930 598 |
Dec 05, 2016 | $38.85 | $39.34 | $38.65 | $38.99 | 4 978 067 |
Dec 02, 2016 | $38.34 | $38.75 | $38.06 | $38.62 | 6 301 162 |
Dec 01, 2016 | $39.56 | $39.68 | $38.18 | $38.34 | 10 862 191 |
Nov 30, 2016 | $40.10 | $40.18 | $39.18 | $39.28 | 8 363 706 |
Nov 29, 2016 | $40.07 | $40.36 | $39.79 | $39.89 | 5 082 804 |
Nov 28, 2016 | $40.26 | $40.49 | $39.92 | $39.96 | 4 124 971 |
Nov 25, 2016 | $40.40 | $40.56 | $39.99 | $40.26 | 2 324 478 |
Nov 23, 2016 | $40.31 | $40.43 | $39.85 | $40.05 | 5 131 044 |
Nov 22, 2016 | $40.99 | $41.10 | $39.95 | $40.33 | 7 734 413 |
Nov 21, 2016 | $40.12 | $40.77 | $40.12 | $40.63 | 6 645 391 |
Nov 18, 2016 | $40.08 | $40.57 | $39.91 | $40.08 | 9 215 746 |
Nov 17, 2016 | $39.12 | $40.06 | $38.95 | $39.88 | 9 742 924 |
Nov 16, 2016 | $39.05 | $39.21 | $38.71 | $39.07 | 12 705 530 |
Nov 15, 2016 | $39.04 | $39.48 | $38.90 | $38.94 | 16 037 804 |
Nov 14, 2016 | $40.40 | $40.40 | $38.45 | $38.81 | 17 868 303 |
Nov 11, 2016 | $40.77 | $40.77 | $39.80 | $40.08 | 10 775 674 |
Nov 10, 2016 | $41.90 | $41.90 | $39.58 | $40.45 | 12 041 183 |
Nov 09, 2016 | $40.60 | $41.47 | $40.58 | $41.26 | 9 718 374 |
Nov 08, 2016 | $41.42 | $42.15 | $41.09 | $41.58 | 6 945 724 |
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 PYPL stock historical prices to predict future price movements?
Trend Analysis: Examine the PYPL 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 PYPL 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.