NYSE:ORCL
Oracle Stock Price (Quote)
$122.16
+0.530 (+0.436%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $112.78 | $122.54 | Thursday, 16th May 2024 ORCL stock ended at $122.16. This is 0.436% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.01% from a day low at $121.21 to a day high of $122.44. |
90 days | $106.51 | $132.77 | |
52 weeks | $97.29 | $132.77 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2023 | $104.70 | $105.93 | $104.52 | $105.86 | 8 135 061 |
Dec 20, 2023 | $105.95 | $106.09 | $104.05 | $104.15 | 9 202 066 |
Dec 19, 2023 | $104.98 | $106.34 | $104.80 | $106.25 | 7 772 362 |
Dec 18, 2023 | $103.41 | $106.16 | $102.91 | $105.00 | 13 314 285 |
Dec 15, 2023 | $99.69 | $103.98 | $99.36 | $103.32 | 29 329 093 |
Dec 14, 2023 | $101.87 | $102.25 | $99.87 | $100.31 | 22 686 115 |
Dec 13, 2023 | $101.08 | $103.10 | $99.26 | $102.99 | 27 127 534 |
Dec 12, 2023 | $102.70 | $104.95 | $100.69 | $100.81 | 57 156 830 |
Dec 11, 2023 | $113.77 | $115.35 | $113.63 | $115.13 | 12 124 128 |
Dec 08, 2023 | $112.01 | $113.64 | $111.59 | $113.61 | 7 727 318 |
Dec 07, 2023 | $112.41 | $113.03 | $111.81 | $112.87 | 5 675 998 |
Dec 06, 2023 | $114.94 | $114.99 | $111.93 | $112.03 | 7 806 123 |
Dec 05, 2023 | $114.57 | $115.27 | $113.81 | $114.53 | 4 763 100 |
Dec 04, 2023 | $116.27 | $116.67 | $114.55 | $115.78 | 4 561 856 |
Dec 01, 2023 | $116.07 | $117.35 | $115.26 | $117.16 | 5 601 387 |
Nov 30, 2023 | $116.86 | $117.23 | $115.18 | $116.21 | 9 094 365 |
Nov 29, 2023 | $117.34 | $117.58 | $115.96 | $116.21 | 5 276 091 |
Nov 28, 2023 | $116.00 | $116.80 | $115.84 | $116.24 | 3 751 116 |
Nov 27, 2023 | $116.01 | $116.77 | $115.45 | $116.47 | 5 122 566 |
Nov 24, 2023 | $116.49 | $116.59 | $115.34 | $116.25 | 2 135 538 |
Nov 22, 2023 | $116.70 | $117.29 | $115.51 | $116.24 | 3 443 737 |
Nov 21, 2023 | $117.21 | $117.61 | $115.68 | $116.08 | 5 157 358 |
Nov 20, 2023 | $115.65 | $117.15 | $115.51 | $116.92 | 4 674 409 |
Nov 17, 2023 | $114.61 | $115.64 | $114.16 | $115.36 | 4 777 977 |
Nov 16, 2023 | $113.76 | $115.87 | $113.47 | $114.67 | 7 458 315 |
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 ORCL stock historical prices to predict future price movements?
Trend Analysis: Examine the ORCL 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 ORCL 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.