NASDAQ:AIQ
Global X Artificial Intelligence & ETF Price (Quote)
$38.97
+0.87 (+2.28%)
At Close: Jan 15, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $37.64 | $40.62 | Wednesday, 15th Jan 2025 AIQ stock ended at $38.97. This is 2.28% more than the trading day before Tuesday, 14th Jan 2025. During the day the stock fluctuated 1.11% from a day low at $38.63 to a day high of $39.06. |
90 days | $36.52 | $40.65 | |
52 weeks | $30.01 | $40.65 |
Historical Global X Artificial Intelligence & Technology ETF prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Jan 15, 2025 | $38.87 | $39.06 | $38.63 | $38.97 | 721 138 |
Jan 14, 2025 | $38.43 | $38.46 | $37.90 | $38.10 | 362 715 |
Jan 13, 2025 | $37.75 | $38.02 | $37.64 | $38.00 | 360 342 |
Jan 10, 2025 | $38.48 | $38.78 | $37.97 | $38.20 | 772 605 |
Jan 08, 2025 | $38.97 | $39.07 | $38.64 | $38.92 | 704 854 |
Jan 07, 2025 | $39.63 | $39.74 | $38.78 | $38.96 | 708 882 |
Jan 06, 2025 | $39.71 | $39.93 | $39.40 | $39.59 | 661 688 |
Jan 03, 2025 | $38.76 | $39.15 | $38.64 | $39.13 | 353 043 |
Jan 02, 2025 | $38.77 | $38.96 | $38.23 | $38.46 | 465 008 |
Dec 31, 2024 | $39.01 | $39.03 | $38.53 | $38.64 | 398 930 |
Dec 30, 2024 | $38.74 | $39.10 | $38.55 | $38.88 | 479 544 |
Dec 27, 2024 | $39.72 | $39.72 | $39.08 | $39.41 | 430 029 |
Dec 26, 2024 | $39.83 | $40.02 | $39.68 | $39.93 | 505 062 |
Dec 24, 2024 | $39.54 | $39.95 | $39.54 | $39.95 | 198 452 |
Dec 23, 2024 | $39.29 | $39.51 | $38.99 | $39.50 | 608 229 |
Dec 20, 2024 | $38.68 | $39.67 | $38.56 | $39.25 | 606 221 |
Dec 19, 2024 | $39.45 | $39.52 | $38.92 | $38.97 | 784 809 |
Dec 18, 2024 | $40.49 | $40.55 | $38.88 | $39.00 | 593 877 |
Dec 17, 2024 | $40.42 | $40.62 | $40.36 | $40.50 | 549 470 |
Dec 16, 2024 | $40.28 | $40.61 | $40.16 | $40.57 | 591 226 |
Dec 13, 2024 | $40.23 | $40.33 | $39.87 | $40.14 | 460 736 |
Dec 12, 2024 | $40.14 | $40.25 | $40.03 | $40.06 | 435 516 |
Dec 11, 2024 | $40.10 | $40.38 | $40.01 | $40.34 | 489 899 |
Dec 10, 2024 | $39.92 | $40.10 | $39.65 | $39.79 | 461 249 |
Dec 09, 2024 | $40.60 | $40.65 | $40.11 | $40.25 | 443 992 |
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.