NASDAQ:CYBR
CyberArk Software Ltd. Stock Price (Quote)
$271.53
-1.22 (-0.447%)
At Close: Sep 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $254.43 | $293.31 | Friday, 13th Sep 2024 CYBR stock ended at $271.53. This is 0.447% less than the trading day before Thursday, 12th Sep 2024. During the day the stock fluctuated 2.00% from a day low at $271.40 to a day high of $276.84. |
90 days | $230.00 | $293.31 | |
52 weeks | $152.03 | $293.31 |
Historical CyberArk Software Ltd. prices
Date | Open | High | Low | Close | Volume |
Sep 13, 2024 | $273.00 | $276.84 | $271.40 | $271.53 | 254 676 |
Sep 12, 2024 | $269.20 | $274.09 | $267.92 | $272.75 | 463 495 |
Sep 11, 2024 | $259.08 | $267.78 | $259.08 | $265.73 | 379 244 |
Sep 10, 2024 | $262.52 | $262.52 | $254.43 | $260.96 | 345 079 |
Sep 09, 2024 | $267.79 | $268.11 | $257.32 | $259.92 | 586 404 |
Sep 06, 2024 | $268.81 | $269.53 | $261.32 | $264.84 | 546 532 |
Sep 05, 2024 | $275.11 | $276.92 | $267.00 | $269.50 | 700 474 |
Sep 04, 2024 | $277.23 | $279.62 | $272.84 | $276.94 | 356 202 |
Sep 03, 2024 | $285.40 | $288.22 | $279.75 | $280.11 | 526 469 |
Aug 30, 2024 | $287.77 | $290.21 | $283.40 | $286.74 | 342 316 |
Aug 29, 2024 | $282.99 | $293.31 | $282.99 | $286.51 | 884 051 |
Aug 28, 2024 | $281.96 | $284.03 | $277.15 | $279.95 | 348 763 |
Aug 27, 2024 | $278.67 | $283.57 | $278.67 | $281.87 | 307 834 |
Aug 26, 2024 | $280.14 | $283.35 | $278.63 | $280.50 | 336 780 |
Aug 23, 2024 | $280.51 | $281.06 | $276.43 | $279.88 | 225 381 |
Aug 22, 2024 | $283.38 | $285.61 | $279.53 | $280.64 | 223 871 |
Aug 21, 2024 | $279.59 | $283.11 | $277.70 | $281.56 | 247 159 |
Aug 20, 2024 | $283.00 | $289.50 | $279.63 | $280.58 | 370 572 |
Aug 19, 2024 | $280.00 | $282.34 | $278.49 | $281.41 | 395 661 |
Aug 16, 2024 | $276.97 | $281.10 | $276.40 | $280.01 | 404 267 |
Aug 15, 2024 | $278.00 | $279.55 | $272.03 | $276.40 | 419 652 |
Aug 14, 2024 | $272.60 | $276.86 | $270.97 | $275.55 | 327 655 |
Aug 13, 2024 | $274.00 | $276.45 | $270.27 | $271.56 | 527 083 |
Aug 12, 2024 | $274.00 | $274.91 | $267.83 | $270.90 | 395 733 |
Aug 09, 2024 | $265.00 | $274.67 | $263.78 | $273.72 | 927 760 |
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 CYBR stock historical prices to predict future price movements?
Trend Analysis: Examine the CYBR 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 CYBR 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.