NYSE:PANW
Palo Alto Networks Inc Stock Price (Quote)
$321.60
+10.16 (+3.26%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $281.62 | $324.68 | Friday, 24th May 2024 PANW stock ended at $321.60. This is 3.26% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 3.89% from a day low at $311.00 to a day high of $323.09. |
90 days | $265.00 | $327.57 | |
52 weeks | $201.17 | $380.84 |
Date | Open | High | Low | Close | Volume |
Apr 21, 2023 | $192.27 | $194.42 | $191.17 | $193.25 | 2 006 672 |
Apr 20, 2023 | $193.13 | $193.90 | $191.20 | $192.27 | 3 077 334 |
Apr 19, 2023 | $197.95 | $199.69 | $194.97 | $195.32 | 2 484 635 |
Apr 18, 2023 | $203.17 | $203.44 | $199.86 | $200.00 | 1 518 419 |
Apr 17, 2023 | $199.99 | $202.96 | $198.85 | $201.16 | 2 420 401 |
Apr 14, 2023 | $193.85 | $199.87 | $192.60 | $199.44 | 4 029 668 |
Apr 13, 2023 | $196.49 | $198.66 | $196.09 | $197.87 | 2 114 132 |
Apr 12, 2023 | $195.05 | $196.81 | $193.43 | $195.28 | 2 545 135 |
Apr 11, 2023 | $190.72 | $193.70 | $190.26 | $192.81 | 1 726 359 |
Apr 10, 2023 | $190.10 | $193.71 | $188.83 | $192.62 | 2 275 354 |
Apr 06, 2023 | $191.80 | $192.31 | $188.72 | $191.93 | 2 934 958 |
Apr 05, 2023 | $196.76 | $196.80 | $191.91 | $194.18 | 2 759 674 |
Apr 04, 2023 | $197.29 | $198.49 | $195.86 | $196.56 | 1 815 000 |
Apr 03, 2023 | $198.01 | $198.91 | $195.59 | $196.33 | 2 671 781 |
Mar 31, 2023 | $194.50 | $200.30 | $194.04 | $199.74 | 4 188 909 |
Mar 30, 2023 | $193.91 | $195.11 | $192.03 | $193.57 | 2 091 257 |
Mar 29, 2023 | $192.73 | $192.90 | $190.35 | $192.19 | 2 488 172 |
Mar 28, 2023 | $191.83 | $193.31 | $189.84 | $190.76 | 2 357 027 |
Mar 27, 2023 | $192.00 | $194.58 | $191.65 | $192.53 | 2 487 010 |
Mar 24, 2023 | $192.89 | $193.58 | $190.89 | $191.55 | 2 345 695 |
Mar 23, 2023 | $193.40 | $196.12 | $192.66 | $193.89 | 3 690 829 |
Mar 22, 2023 | $194.20 | $195.81 | $190.75 | $190.89 | 3 545 947 |
Mar 21, 2023 | $191.30 | $194.92 | $190.50 | $194.49 | 4 749 116 |
Mar 20, 2023 | $187.99 | $190.20 | $186.88 | $189.43 | 3 151 897 |
Mar 17, 2023 | $189.67 | $191.46 | $187.57 | $189.12 | 3 764 159 |
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 PANW stock historical prices to predict future price movements?
Trend Analysis: Examine the PANW 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 PANW 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.