$61.12
-0.84 (-1.36%)
At Close: Jul 15, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $60.17 | $67.77 | Wednesday, 15th Jul 2026 AIQ stock ended at $61.12. This is 1.36% less than the trading day before Tuesday, 14th Jul 2026. During the day the stock fluctuated 3.71% from a day low at $60.17 to a day high of $62.40. |
| 90 days | $52.79 | $70.26 | |
| 52 weeks | $43.19 | $70.26 |
Historical Global X Artificial Intelligence & Technology ETF prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 15, 2026 | $62.37 | $62.40 | $60.17 | $61.12 | 1 923 752 |
| Jul 14, 2026 | $61.91 | $62.21 | $61.26 | $61.96 | 1 268 475 |
| Jul 13, 2026 | $61.84 | $62.25 | $61.06 | $61.30 | 1 899 095 |
| Jul 10, 2026 | $63.56 | $63.59 | $62.78 | $63.44 | 1 223 500 |
| Jul 09, 2026 | $63.20 | $64.06 | $63.09 | $63.83 | 2 257 971 |
| Jul 08, 2026 | $61.23 | $62.66 | $61.08 | $62.57 | 3 088 607 |
| Jul 07, 2026 | $62.52 | $62.72 | $61.37 | $62.08 | 2 477 646 |
| Jul 06, 2026 | $63.26 | $64.33 | $63.11 | $63.84 | 1 433 718 |
| Jul 02, 2026 | $63.37 | $64.16 | $61.17 | $61.85 | 3 163 965 |
| Jul 01, 2026 | $64.21 | $64.68 | $63.61 | $63.63 | 1 601 124 |
| Jun 30, 2026 | $64.35 | $65.77 | $64.27 | $65.61 | 1 612 345 |
| Jun 29, 2026 | $63.41 | $64.29 | $61.93 | $64.22 | 2 478 913 |
| Jun 26, 2026 | $62.76 | $64.16 | $62.50 | $63.15 | 3 717 259 |
| Jun 25, 2026 | $65.84 | $65.86 | $62.96 | $64.18 | 4 307 534 |
| Jun 24, 2026 | $63.85 | $64.17 | $62.44 | $63.39 | 3 656 900 |
| Jun 23, 2026 | $63.45 | $64.75 | $62.97 | $63.35 | 12 367 000 |
| Jun 22, 2026 | $67.42 | $67.77 | $66.53 | $67.09 | 1 846 800 |
| Jun 18, 2026 | $66.13 | $67.04 | $65.64 | $66.80 | 1 756 226 |
| Jun 17, 2026 | $65.43 | $66.03 | $64.27 | $64.33 | 2 601 408 |
| Jun 16, 2026 | $66.24 | $66.81 | $64.59 | $64.64 | 2 050 662 |
| Jun 15, 2026 | $66.07 | $66.67 | $65.92 | $66.55 | 2 342 625 |
| Jun 12, 2026 | $63.53 | $64.45 | $62.89 | $64.00 | 3 378 086 |
| Jun 11, 2026 | $61.81 | $64.01 | $61.17 | $63.95 | 4 255 945 |
| Jun 10, 2026 | $61.97 | $63.47 | $61.23 | $61.36 | 3 251 879 |
| Jun 09, 2026 | $65.37 | $65.55 | $60.55 | $63.16 | 5 691 371 |
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 AIQ stock historical prices to predict future price movements?
Trend Analysis: Examine the AIQ 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 AIQ 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.
Sign In
Buy AIQ