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 |
Date | Open | High | Low | Close | Volume |
Jun 28, 2018 | $0.240 | $0.240 | $0.230 | $0.235 | 197 520 |
Jun 27, 2018 | $0.245 | $0.255 | $0.235 | $0.235 | 976 501 |
Jun 26, 2018 | $0.245 | $0.250 | $0.240 | $0.245 | 696 900 |
Jun 25, 2018 | $0.235 | $0.240 | $0.230 | $0.240 | 710 844 |
Jun 22, 2018 | $0.235 | $0.240 | $0.230 | $0.230 | 586 106 |
Jun 21, 2018 | $0.240 | $0.240 | $0.230 | $0.230 | 1 597 214 |
Jun 20, 2018 | $0.235 | $0.245 | $0.230 | $0.235 | 4 442 911 |
Jun 19, 2018 | $0.215 | $0.220 | $0.215 | $0.215 | 170 291 |
Jun 18, 2018 | $0.220 | $0.220 | $0.215 | $0.215 | 167 557 |
Jun 15, 2018 | $0.220 | $0.220 | $0.215 | $0.215 | 259 059 |
Jun 14, 2018 | $0.220 | $0.225 | $0.215 | $0.215 | 159 365 |
Jun 13, 2018 | $0.220 | $0.220 | $0.220 | $0.220 | 235 438 |
Jun 12, 2018 | $0.215 | $0.220 | $0.215 | $0.220 | 475 471 |
Jun 08, 2018 | $0.220 | $0.230 | $0.220 | $0.225 | 71 119 |
Jun 07, 2018 | $0.215 | $0.230 | $0.215 | $0.230 | 251 058 |
Jun 06, 2018 | $0.220 | $0.220 | $0.210 | $0.215 | 182 793 |
Jun 05, 2018 | $0.225 | $0.230 | $0.225 | $0.225 | 148 491 |
Jun 04, 2018 | $0.230 | $0.235 | $0.225 | $0.230 | 198 638 |
Jun 01, 2018 | $0.230 | $0.235 | $0.230 | $0.235 | 138 505 |
May 31, 2018 | $0.230 | $0.235 | $0.230 | $0.235 | 39 354 |
May 30, 2018 | $0.230 | $0.235 | $0.225 | $0.230 | 363 707 |
May 29, 2018 | $0.235 | $0.235 | $0.230 | $0.230 | 456 518 |
May 28, 2018 | $0.230 | $0.240 | $0.230 | $0.240 | 70 505 |
May 25, 2018 | $0.230 | $0.230 | $0.230 | $0.230 | 37 531 |
May 24, 2018 | $0.235 | $0.235 | $0.230 | $0.230 | 53 703 |
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.