NASDAQ:AIQ
Global X Artificial Intelligence & ETF Price (Quote)
$34.16
-0.200 (-0.582%)
At Close: May 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $31.59 | $34.81 | Thursday, 23rd May 2024 AIQ stock ended at $34.16. This is 0.582% less than the trading day before Wednesday, 22nd May 2024. During the day the stock fluctuated 2.35% from a day low at $34.01 to a day high of $34.81. |
90 days | $31.34 | $34.81 | |
52 weeks | $25.10 | $34.81 |
Date | Open | High | Low | Close | Volume |
Nov 22, 2023 | $29.63 | $29.78 | $29.47 | $29.58 | 618 100 |
Nov 21, 2023 | $29.51 | $29.59 | $29.34 | $29.46 | 348 000 |
Nov 20, 2023 | $29.30 | $29.70 | $29.26 | $29.65 | 444 200 |
Nov 17, 2023 | $29.18 | $29.30 | $29.08 | $29.25 | 255 600 |
Nov 16, 2023 | $29.05 | $29.22 | $28.94 | $29.15 | 352 700 |
Nov 15, 2023 | $29.27 | $29.37 | $29.09 | $29.22 | 430 300 |
Nov 14, 2023 | $28.77 | $29.06 | $28.70 | $29.01 | 334 300 |
Nov 13, 2023 | $28.10 | $28.32 | $28.02 | $28.24 | 246 200 |
Nov 10, 2023 | $27.83 | $28.25 | $27.77 | $28.25 | 216 300 |
Nov 09, 2023 | $28.09 | $28.17 | $27.74 | $27.78 | 234 000 |
Nov 08, 2023 | $28.00 | $28.08 | $27.84 | $28.01 | 190 100 |
Nov 07, 2023 | $27.75 | $28.06 | $27.67 | $27.98 | 307 100 |
Nov 06, 2023 | $27.76 | $27.79 | $27.50 | $27.71 | 281 700 |
Nov 03, 2023 | $27.41 | $27.72 | $27.35 | $27.61 | 362 900 |
Nov 02, 2023 | $27.07 | $27.19 | $26.92 | $27.15 | 416 300 |
Nov 01, 2023 | $26.20 | $26.55 | $26.17 | $26.54 | 213 500 |
Oct 31, 2023 | $25.97 | $26.17 | $25.80 | $26.16 | 164 100 |
Oct 30, 2023 | $25.97 | $26.11 | $25.80 | $26.01 | 330 500 |
Oct 27, 2023 | $25.85 | $25.93 | $25.61 | $25.67 | 237 500 |
Oct 26, 2023 | $25.77 | $25.98 | $25.39 | $25.50 | 293 700 |
Oct 25, 2023 | $26.38 | $26.38 | $25.78 | $25.85 | 577 200 |
Oct 24, 2023 | $26.43 | $26.64 | $26.33 | $26.57 | 475 100 |
Oct 23, 2023 | $26.15 | $26.56 | $25.95 | $26.30 | 289 100 |
Oct 20, 2023 | $26.70 | $26.73 | $26.26 | $26.28 | 268 200 |
Oct 19, 2023 | $27.02 | $27.16 | $26.72 | $26.78 | 305 600 |
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.