$123.30
-6.25 (-4.82%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $123.00 | $146.39 | Tuesday, 23rd Jun 2026 ORA stock ended at $123.30. This is 4.82% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 3.53% from a day low at $123.00 to a day high of $127.34. |
| 90 days | $106.43 | $146.39 | |
| 52 weeks | $82.32 | $146.39 |
Historical Ormat Technologies Inc prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $126.27 | $127.34 | $123.00 | $123.30 | 786 803 |
| Jun 22, 2026 | $130.04 | $130.82 | $127.85 | $129.55 | 613 090 |
| Jun 18, 2026 | $127.60 | $131.25 | $126.40 | $127.68 | 1 389 033 |
| Jun 17, 2026 | $126.63 | $129.90 | $124.97 | $126.12 | 987 342 |
| Jun 16, 2026 | $138.30 | $138.77 | $132.17 | $133.96 | 732 327 |
| Jun 15, 2026 | $138.99 | $138.99 | $136.76 | $138.71 | 459 170 |
| Jun 12, 2026 | $138.11 | $139.22 | $134.30 | $138.16 | 436 000 |
| Jun 11, 2026 | $138.61 | $138.82 | $136.00 | $136.41 | 631 134 |
| Jun 10, 2026 | $138.19 | $139.05 | $136.50 | $136.69 | 753 287 |
| Jun 09, 2026 | $135.99 | $139.62 | $134.38 | $138.18 | 1 178 511 |
| Jun 08, 2026 | $142.12 | $143.65 | $136.09 | $136.47 | 850 899 |
| Jun 05, 2026 | $141.83 | $142.32 | $138.40 | $140.00 | 726 400 |
| Jun 04, 2026 | $142.63 | $144.35 | $139.45 | $142.45 | 872 300 |
| Jun 03, 2026 | $144.78 | $146.39 | $143.95 | $145.10 | 1 094 016 |
| Jun 02, 2026 | $137.00 | $144.72 | $136.43 | $144.48 | 900 199 |
| Jun 01, 2026 | $136.53 | $137.98 | $135.55 | $136.61 | 582 729 |
| May 29, 2026 | $137.86 | $138.89 | $136.19 | $137.23 | 793 579 |
| May 28, 2026 | $138.10 | $139.01 | $136.78 | $137.68 | 532 346 |
| May 27, 2026 | $137.90 | $141.62 | $137.00 | $139.69 | 836 828 |
| May 26, 2026 | $138.00 | $139.84 | $136.04 | $139.08 | 599 007 |
| May 22, 2026 | $134.35 | $135.34 | $132.79 | $133.46 | 645 855 |
| May 21, 2026 | $131.86 | $135.40 | $131.77 | $133.88 | 537 937 |
| May 20, 2026 | $131.00 | $133.27 | $130.23 | $131.78 | 457 477 |
| May 19, 2026 | $128.33 | $132.00 | $127.80 | $130.68 | 598 750 |
| May 18, 2026 | $130.96 | $131.72 | $128.06 | $129.24 | 856 116 |
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.
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