NYSE:ORA
Ormat Technologies Inc Stock Price (Quote)
$73.20
+2.55 (+3.61%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $59.41 | $73.64 | Tuesday, 14th May 2024 ORA stock ended at $73.20. This is 3.61% more than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 2.78% from a day low at $71.65 to a day high of $73.64. |
90 days | $59.41 | $73.64 | |
52 weeks | $58.73 | $88.23 |
Date | Open | High | Low | Close | Volume |
May 14, 2024 | $71.79 | $73.64 | $71.65 | $73.20 | 678 079 |
May 13, 2024 | $70.57 | $71.38 | $70.48 | $70.65 | 290 045 |
May 10, 2024 | $69.42 | $70.31 | $68.83 | $70.29 | 226 789 |
May 09, 2024 | $70.60 | $71.27 | $67.56 | $68.93 | 717 334 |
May 08, 2024 | $67.55 | $68.84 | $67.26 | $68.49 | 234 268 |
May 07, 2024 | $68.09 | $69.30 | $67.95 | $68.04 | 538 405 |
May 06, 2024 | $67.95 | $68.44 | $67.32 | $67.64 | 325 925 |
May 03, 2024 | $67.81 | $68.26 | $66.96 | $67.50 | 267 167 |
May 02, 2024 | $67.16 | $67.26 | $66.03 | $66.71 | 324 369 |
May 01, 2024 | $64.36 | $66.83 | $64.13 | $65.74 | 283 557 |
Apr 30, 2024 | $63.68 | $64.00 | $63.32 | $63.83 | 304 363 |
Apr 29, 2024 | $63.68 | $64.75 | $63.64 | $64.48 | 432 413 |
Apr 26, 2024 | $63.55 | $63.83 | $62.51 | $63.11 | 555 304 |
Apr 25, 2024 | $64.36 | $64.69 | $63.15 | $63.78 | 428 285 |
Apr 24, 2024 | $64.75 | $65.13 | $64.21 | $64.99 | 423 780 |
Apr 23, 2024 | $64.50 | $65.58 | $64.50 | $65.17 | 357 220 |
Apr 22, 2024 | $64.42 | $64.89 | $63.84 | $64.57 | 404 384 |
Apr 19, 2024 | $62.61 | $63.78 | $62.34 | $63.75 | 490 039 |
Apr 18, 2024 | $62.74 | $63.13 | $61.86 | $62.92 | 641 894 |
Apr 17, 2024 | $60.06 | $62.90 | $59.57 | $62.11 | 824 497 |
Apr 16, 2024 | $60.53 | $60.70 | $59.41 | $59.94 | 492 066 |
Apr 15, 2024 | $64.38 | $64.38 | $60.30 | $60.97 | 773 409 |
Apr 12, 2024 | $65.99 | $66.53 | $63.89 | $64.30 | 720 792 |
Apr 11, 2024 | $65.38 | $66.26 | $64.16 | $66.08 | 588 833 |
Apr 10, 2024 | $65.01 | $65.04 | $63.78 | $64.59 | 472 055 |
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 stock historical prices to predict future price movements?
Trend Analysis: Examine the ORA 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 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.