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 |
Dec 29, 2023 | $31.36 | $31.37 | $31.03 | $31.18 | 421 800 |
Dec 28, 2023 | $31.45 | $31.45 | $31.32 | $31.35 | 407 900 |
Dec 27, 2023 | $31.33 | $31.37 | $31.23 | $31.36 | 369 000 |
Dec 26, 2023 | $31.24 | $31.33 | $31.11 | $31.25 | 402 400 |
Dec 22, 2023 | $31.10 | $31.11 | $30.87 | $31.01 | 404 100 |
Dec 21, 2023 | $30.95 | $31.12 | $30.81 | $31.09 | 503 700 |
Dec 20, 2023 | $31.01 | $31.15 | $30.55 | $30.59 | 577 600 |
Dec 19, 2023 | $30.88 | $31.05 | $30.84 | $31.04 | 394 400 |
Dec 18, 2023 | $30.68 | $30.87 | $30.61 | $30.80 | 430 500 |
Dec 15, 2023 | $30.59 | $30.80 | $30.52 | $30.64 | 420 800 |
Dec 14, 2023 | $30.56 | $30.63 | $30.28 | $30.54 | 502 400 |
Dec 13, 2023 | $30.19 | $30.52 | $29.98 | $30.46 | 433 200 |
Dec 12, 2023 | $30.03 | $30.18 | $29.92 | $30.17 | 424 000 |
Dec 11, 2023 | $29.90 | $30.14 | $29.83 | $30.12 | 414 400 |
Dec 08, 2023 | $29.62 | $29.92 | $29.59 | $29.89 | 282 800 |
Dec 07, 2023 | $29.53 | $29.75 | $29.46 | $29.72 | 418 400 |
Dec 06, 2023 | $29.80 | $29.80 | $29.36 | $29.37 | 466 900 |
Dec 05, 2023 | $29.37 | $29.59 | $29.32 | $29.55 | 313 100 |
Dec 04, 2023 | $29.62 | $29.67 | $29.34 | $29.56 | 337 000 |
Dec 01, 2023 | $29.61 | $29.92 | $29.49 | $29.90 | 352 400 |
Nov 30, 2023 | $29.86 | $29.88 | $29.53 | $29.73 | 447 200 |
Nov 29, 2023 | $29.80 | $29.94 | $29.68 | $29.70 | 459 100 |
Nov 28, 2023 | $29.52 | $29.64 | $29.43 | $29.60 | 380 400 |
Nov 27, 2023 | $29.54 | $29.73 | $29.46 | $29.61 | 467 000 |
Nov 24, 2023 | $29.52 | $29.57 | $29.47 | $29.56 | 167 400 |
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.