NYSE:PANW
Palo Alto Networks Inc Stock Price (Quote)
$294.91
+1.73 (+0.590%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $284.00 | $324.68 | Friday, 31st May 2024 PANW stock ended at $294.91. This is 0.590% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 4.42% from a day low at $286.58 to a day high of $299.26. |
90 days | $265.00 | $324.68 | |
52 weeks | $201.17 | $380.84 |
Historical Palo Alto Networks Inc prices
Date | Open | High | Low | Close | Volume |
Apr 05, 2017 | $110.00 | $110.45 | $107.31 | $108.01 | 2 337 716 |
Apr 04, 2017 | $110.84 | $111.79 | $109.66 | $109.82 | 1 214 994 |
Apr 03, 2017 | $112.83 | $113.73 | $110.22 | $111.02 | 2 612 677 |
Mar 31, 2017 | $113.17 | $114.15 | $112.42 | $112.68 | 2 608 238 |
Mar 30, 2017 | $114.31 | $115.21 | $113.37 | $113.50 | 1 421 016 |
Mar 29, 2017 | $113.15 | $114.71 | $112.90 | $113.43 | 1 381 629 |
Mar 28, 2017 | $111.91 | $113.42 | $111.71 | $112.87 | 1 395 446 |
Mar 27, 2017 | $110.49 | $112.35 | $110.04 | $111.80 | 1 305 612 |
Mar 24, 2017 | $112.35 | $113.08 | $111.20 | $111.77 | 1 191 849 |
Mar 23, 2017 | $111.97 | $113.00 | $111.72 | $111.89 | 1 312 059 |
Mar 22, 2017 | $111.20 | $112.62 | $110.29 | $111.72 | 1 703 761 |
Mar 21, 2017 | $114.87 | $115.90 | $110.77 | $111.10 | 2 850 568 |
Mar 20, 2017 | $115.50 | $116.08 | $113.90 | $114.87 | 2 886 051 |
Mar 17, 2017 | $117.48 | $117.60 | $115.78 | $115.81 | 1 612 318 |
Mar 16, 2017 | $117.40 | $117.78 | $116.04 | $116.98 | 1 363 725 |
Mar 15, 2017 | $116.82 | $117.49 | $115.56 | $116.95 | 1 269 832 |
Mar 14, 2017 | $117.15 | $117.95 | $116.00 | $116.64 | 1 119 560 |
Mar 13, 2017 | $119.10 | $119.75 | $116.80 | $117.68 | 2 116 915 |
Mar 10, 2017 | $115.17 | $119.40 | $114.91 | $118.88 | 4 706 203 |
Mar 09, 2017 | $114.97 | $115.83 | $114.07 | $115.05 | 1 561 570 |
Mar 08, 2017 | $114.79 | $116.00 | $114.20 | $114.55 | 2 366 878 |
Mar 07, 2017 | $114.77 | $116.63 | $114.17 | $114.25 | 2 013 186 |
Mar 06, 2017 | $115.94 | $116.65 | $113.70 | $114.65 | 2 750 167 |
Mar 03, 2017 | $117.11 | $117.93 | $115.20 | $115.55 | 3 254 148 |
Mar 02, 2017 | $116.22 | $117.78 | $115.00 | $116.49 | 6 748 204 |
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.