ASX:ICQ
Delisted
iCar Asia Limited Stock Price (Quote)
$0.530
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.530 | $0.530 | Wednesday, 17th Aug 2022 ICQ.AX stock ended at $0.530. During the day the stock fluctuated 0% from a day low at $0.530 to a day high of $0.530. |
90 days | $0.530 | $0.530 | |
52 weeks | $0.455 | $0.530 |
Historical iCar Asia Limited prices
Date | Open | High | Low | Close | Volume |
Jan 12, 2022 | $0.520 | $0.525 | $0.520 | $0.520 | 375 924 |
Jan 11, 2022 | $0.525 | $0.525 | $0.520 | $0.525 | 275 415 |
Jan 10, 2022 | $0.525 | $0.525 | $0.520 | $0.520 | 453 567 |
Jan 07, 2022 | $0.520 | $0.525 | $0.520 | $0.520 | 262 954 |
Jan 06, 2022 | $0.520 | $0.525 | $0.520 | $0.525 | 456 752 |
Jan 05, 2022 | $0.515 | $0.525 | $0.515 | $0.515 | 215 213 |
Jan 04, 2022 | $0.520 | $0.525 | $0.518 | $0.520 | 1 481 468 |
Dec 31, 2021 | $0.517 | $0.520 | $0.515 | $0.515 | 400 284 |
Dec 30, 2021 | $0.520 | $0.520 | $0.517 | $0.520 | 2 823 533 |
Dec 29, 2021 | $0.525 | $0.525 | $0.520 | $0.520 | 379 844 |
Dec 28, 2021 | $0.520 | $0.520 | $0.520 | $0.520 | 0 |
Dec 27, 2021 | $0.520 | $0.520 | $0.520 | $0.520 | 0 |
Dec 24, 2021 | $0.520 | $0.525 | $0.520 | $0.520 | 124 330 |
Dec 23, 2021 | $0.520 | $0.525 | $0.520 | $0.520 | 53 251 |
Dec 22, 2021 | $0.520 | $0.522 | $0.520 | $0.520 | 1 099 402 |
Dec 21, 2021 | $0.522 | $0.522 | $0.520 | $0.520 | 1 090 781 |
Dec 20, 2021 | $0.520 | $0.525 | $0.520 | $0.525 | 128 681 |
Dec 17, 2021 | $0.525 | $0.530 | $0.525 | $0.525 | 2 101 496 |
Dec 16, 2021 | $0.515 | $0.525 | $0.515 | $0.520 | 1 803 063 |
Dec 15, 2021 | $0.515 | $0.520 | $0.515 | $0.520 | 145 064 |
Dec 14, 2021 | $0.520 | $0.522 | $0.520 | $0.520 | 3 126 954 |
Dec 13, 2021 | $0.515 | $0.525 | $0.515 | $0.520 | 3 082 768 |
Dec 10, 2021 | $0.515 | $0.525 | $0.515 | $0.520 | 2 567 214 |
Dec 09, 2021 | $0.515 | $0.520 | $0.510 | $0.520 | 2 348 663 |
Dec 08, 2021 | $0.510 | $0.515 | $0.510 | $0.515 | 221 555 |
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 ICQ.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the ICQ.AX 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 ICQ.AX 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.