$22.72
-0.640 (-2.74%)
At Close: Jun 17, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $22.64 | $46.73 | Wednesday, 17th Jun 2026 LUNR stock ended at $22.72. This is 2.74% less than the trading day before Tuesday, 16th Jun 2026. During the day the stock fluctuated 5.65% from a day low at $22.64 to a day high of $23.92. |
| 90 days | $15.85 | $46.73 | |
| 52 weeks | $7.78 | $46.73 |
Historical Intuitive Machines, Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 17, 2026 | $23.66 | $23.92 | $22.64 | $22.72 | 12 105 816 |
| Jun 16, 2026 | $24.80 | $25.30 | $23.07 | $23.36 | 15 781 716 |
| Jun 15, 2026 | $27.60 | $28.00 | $25.57 | $25.76 | 14 655 282 |
| Jun 12, 2026 | $29.88 | $30.05 | $25.45 | $26.62 | 22 059 165 |
| Jun 11, 2026 | $27.00 | $30.91 | $26.73 | $30.64 | 21 825 283 |
| Jun 10, 2026 | $27.00 | $27.73 | $26.07 | $26.54 | 8 308 819 |
| Jun 09, 2026 | $30.15 | $30.95 | $25.67 | $27.47 | 13 175 008 |
| Jun 08, 2026 | $30.78 | $30.80 | $29.37 | $29.74 | 8 984 021 |
| Jun 05, 2026 | $32.69 | $32.69 | $28.57 | $29.36 | 13 942 607 |
| Jun 04, 2026 | $33.48 | $34.73 | $31.76 | $33.63 | 12 602 100 |
| Jun 03, 2026 | $37.05 | $38.79 | $33.24 | $33.83 | 16 280 778 |
| Jun 02, 2026 | $38.75 | $41.05 | $38.00 | $39.57 | 10 077 461 |
| Jun 01, 2026 | $42.71 | $43.39 | $37.80 | $38.21 | 15 896 717 |
| May 29, 2026 | $42.66 | $43.84 | $38.77 | $43.83 | 19 624 962 |
| May 28, 2026 | $40.88 | $46.73 | $40.35 | $45.70 | 23 240 988 |
| May 27, 2026 | $38.02 | $40.70 | $35.33 | $40.34 | 29 577 850 |
| May 26, 2026 | $42.22 | $45.52 | $31.39 | $34.86 | 47 333 074 |
| May 22, 2026 | $35.40 | $38.34 | $35.23 | $38.26 | 14 181 587 |
| May 21, 2026 | $33.00 | $35.00 | $31.35 | $34.24 | 10 698 043 |
| May 20, 2026 | $32.94 | $34.40 | $31.09 | $33.67 | 12 601 686 |
| May 19, 2026 | $33.23 | $34.69 | $30.96 | $32.46 | 10 935 635 |
| May 18, 2026 | $36.55 | $38.55 | $32.56 | $33.59 | 18 521 638 |
| May 15, 2026 | $34.90 | $37.85 | $33.80 | $33.89 | 13 590 874 |
| May 14, 2026 | $32.20 | $37.25 | $32.06 | $36.52 | 19 066 851 |
| May 13, 2026 | $34.35 | $36.72 | $32.93 | $35.68 | 15 807 784 |
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 LUNR stock historical prices to predict future price movements?
Trend Analysis: Examine the LUNR 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 LUNR 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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