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 |
Aug 04, 2023 | $3.57 | $3.61 | $3.55 | $3.60 | 1 074 040 |
Aug 03, 2023 | $3.57 | $3.59 | $3.54 | $3.57 | 2 775 601 |
Aug 02, 2023 | $3.59 | $3.59 | $3.55 | $3.56 | 1 245 487 |
Aug 01, 2023 | $3.55 | $3.55 | $3.55 | $3.55 | 0 |
Jul 31, 2023 | $3.57 | $3.61 | $3.56 | $3.59 | 2 770 714 |
Jul 28, 2023 | $3.53 | $3.59 | $3.50 | $3.55 | 1 833 389 |
Jul 27, 2023 | $3.49 | $3.55 | $3.48 | $3.53 | 2 033 769 |
Jul 26, 2023 | $3.46 | $3.49 | $3.41 | $3.49 | 2 441 767 |
Jul 25, 2023 | $3.46 | $3.48 | $3.43 | $3.45 | 1 882 527 |
Jul 24, 2023 | $3.44 | $3.49 | $3.41 | $3.46 | 1 446 117 |
Jul 21, 2023 | $3.40 | $3.45 | $3.39 | $3.43 | 1 304 939 |
Jul 20, 2023 | $3.40 | $3.42 | $3.38 | $3.39 | 1 849 205 |
Jul 19, 2023 | $3.41 | $3.44 | $3.38 | $3.40 | 1 653 230 |
Jul 18, 2023 | $3.40 | $3.43 | $3.38 | $3.39 | 1 370 690 |
Jul 17, 2023 | $3.37 | $3.41 | $3.35 | $3.40 | 1 666 512 |
Jul 14, 2023 | $3.34 | $3.37 | $3.34 | $3.36 | 1 062 903 |
Jul 13, 2023 | $3.35 | $3.37 | $3.34 | $3.35 | 1 549 075 |
Jul 12, 2023 | $3.36 | $3.37 | $3.31 | $3.32 | 785 395 |
Jul 11, 2023 | $3.28 | $3.33 | $3.28 | $3.32 | 1 535 468 |
Jul 10, 2023 | $3.27 | $3.27 | $3.24 | $3.26 | 887 663 |
Jul 07, 2023 | $3.25 | $3.28 | $3.22 | $3.26 | 1 474 642 |
Jul 06, 2023 | $3.29 | $3.30 | $3.27 | $3.29 | 1 646 798 |
Jul 05, 2023 | $3.35 | $3.35 | $3.28 | $3.32 | 3 075 607 |
Jul 04, 2023 | $3.29 | $3.35 | $3.27 | $3.34 | 2 274 253 |
Jul 03, 2023 | $3.31 | $3.33 | $3.27 | $3.31 | 1 526 381 |
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.