NYSE:ORAN
Orange Stock Price (Quote)
$11.75
+0.290 (+2.53%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.05 | $11.77 | Friday, 31st May 2024 ORAN stock ended at $11.75. This is 2.53% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.26% from a day low at $11.49 to a day high of $11.75. |
90 days | $10.98 | $11.84 | |
52 weeks | $10.97 | $12.41 |
Historical Orange prices
Date | Open | High | Low | Close | Volume |
Mar 01, 2017 | $15.10 | $15.23 | $15.10 | $15.15 | 334 181 |
Feb 28, 2017 | $15.12 | $15.15 | $15.04 | $15.05 | 539 676 |
Feb 27, 2017 | $15.14 | $15.17 | $15.07 | $15.11 | 472 605 |
Feb 24, 2017 | $15.32 | $15.35 | $15.24 | $15.28 | 797 793 |
Feb 23, 2017 | $15.61 | $15.62 | $15.46 | $15.61 | 1 161 056 |
Feb 22, 2017 | $15.22 | $15.56 | $15.17 | $15.54 | 1 667 137 |
Feb 21, 2017 | $15.31 | $15.37 | $15.24 | $15.35 | 556 899 |
Feb 17, 2017 | $15.36 | $15.38 | $15.26 | $15.37 | 398 161 |
Feb 16, 2017 | $15.64 | $15.69 | $15.61 | $15.66 | 323 187 |
Feb 15, 2017 | $15.40 | $15.52 | $15.39 | $15.48 | 448 623 |
Feb 14, 2017 | $15.44 | $15.49 | $15.33 | $15.42 | 514 073 |
Feb 13, 2017 | $15.41 | $15.46 | $15.30 | $15.45 | 973 837 |
Feb 10, 2017 | $15.32 | $15.41 | $15.28 | $15.40 | 238 195 |
Feb 09, 2017 | $15.45 | $15.51 | $15.38 | $15.44 | 351 885 |
Feb 08, 2017 | $15.25 | $15.38 | $15.20 | $15.37 | 507 279 |
Feb 07, 2017 | $15.18 | $15.25 | $15.11 | $15.25 | 676 668 |
Feb 06, 2017 | $15.39 | $15.44 | $15.33 | $15.40 | 555 076 |
Feb 03, 2017 | $15.49 | $15.55 | $15.45 | $15.53 | 205 806 |
Feb 02, 2017 | $15.57 | $15.62 | $15.39 | $15.46 | 212 300 |
Feb 01, 2017 | $15.45 | $15.47 | $15.29 | $15.39 | 233 861 |
Jan 31, 2017 | $15.57 | $15.63 | $15.47 | $15.55 | 332 300 |
Jan 30, 2017 | $15.28 | $15.43 | $15.25 | $15.38 | 397 731 |
Jan 27, 2017 | $15.42 | $15.51 | $15.38 | $15.47 | 350 417 |
Jan 26, 2017 | $15.54 | $15.60 | $15.45 | $15.56 | 380 098 |
Jan 25, 2017 | $15.66 | $15.67 | $15.53 | $15.64 | 367 974 |
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 ORAN stock historical prices to predict future price movements?
Trend Analysis: Examine the ORAN 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 ORAN 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.