ASX:ORA
Orora Limited Stock Price (Quote)
$2.15
+0 (+0%)
At Close: May 21, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.10 | $2.24 | Tuesday, 21st May 2024 ORA.AX stock ended at $2.15. During the day the stock fluctuated 1.65% from a day low at $2.13 to a day high of $2.16. |
90 days | $2.06 | $2.72 | |
52 weeks | $2.06 | $3.93 |
Date | Open | High | Low | Close | Volume |
Jun 30, 2023 | $3.23 | $3.29 | $3.23 | $3.29 | 2 681 254 |
Jun 29, 2023 | $3.25 | $3.30 | $3.23 | $3.27 | 3 008 279 |
Jun 28, 2023 | $3.24 | $3.27 | $3.24 | $3.24 | 1 561 856 |
Jun 27, 2023 | $3.22 | $3.24 | $3.20 | $3.23 | 1 547 432 |
Jun 26, 2023 | $3.19 | $3.22 | $3.18 | $3.21 | 1 196 272 |
Jun 23, 2023 | $3.26 | $3.28 | $3.19 | $3.20 | 1 168 778 |
Jun 22, 2023 | $3.31 | $3.33 | $3.28 | $3.28 | 3 431 625 |
Jun 21, 2023 | $3.27 | $3.31 | $3.25 | $3.30 | 1 784 668 |
Jun 20, 2023 | $3.23 | $3.28 | $3.21 | $3.27 | 1 208 176 |
Jun 19, 2023 | $3.25 | $3.25 | $3.17 | $3.22 | 2 154 538 |
Jun 16, 2023 | $3.25 | $3.26 | $3.19 | $3.21 | 2 921 269 |
Jun 15, 2023 | $3.20 | $3.28 | $3.18 | $3.25 | 3 101 312 |
Jun 14, 2023 | $3.17 | $3.22 | $3.15 | $3.21 | 2 560 003 |
Jun 13, 2023 | $3.17 | $3.18 | $3.14 | $3.14 | 1 849 365 |
Jun 09, 2023 | $3.12 | $3.16 | $3.11 | $3.15 | 1 222 977 |
Jun 08, 2023 | $3.23 | $3.24 | $3.13 | $3.16 | 3 634 830 |
Jun 07, 2023 | $3.21 | $3.22 | $3.15 | $3.19 | 7 476 405 |
Jun 06, 2023 | $3.25 | $3.26 | $3.18 | $3.20 | 3 508 419 |
Jun 05, 2023 | $3.30 | $3.31 | $3.26 | $3.28 | 2 549 572 |
Jun 02, 2023 | $3.26 | $3.28 | $3.24 | $3.25 | 2 238 320 |
Jun 01, 2023 | $3.27 | $3.31 | $3.21 | $3.27 | 2 900 689 |
May 31, 2023 | $3.26 | $3.30 | $3.25 | $3.29 | 4 645 717 |
May 30, 2023 | $3.32 | $3.33 | $3.28 | $3.29 | 3 012 248 |
May 29, 2023 | $3.35 | $3.35 | $3.31 | $3.32 | 2 237 872 |
May 26, 2023 | $3.34 | $3.36 | $3.30 | $3.33 | 1 157 125 |
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 ORA.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the ORA.AX 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 ORA.AX 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.