ASX:ACF
Acrow Formwork and Construction Services Stock Price (Quote)
$1.06
+0 (+0%)
At Close: Jun 26, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.04 | $1.18 | Wednesday, 26th Jun 2024 ACF.AX stock ended at $1.06. During the day the stock fluctuated 1.90% from a day low at $1.05 to a day high of $1.07. |
90 days | $1.04 | $1.24 | |
52 weeks | $0.730 | $1.35 |
Historical Acrow Formwork and Construction Services Ltd prices
Date | Open | High | Low | Close | Volume |
Jun 26, 2024 | $1.06 | $1.07 | $1.05 | $1.06 | 258 407 |
Jun 25, 2024 | $1.06 | $1.07 | $1.06 | $1.06 | 275 288 |
Jun 24, 2024 | $1.08 | $1.08 | $1.06 | $1.06 | 156 837 |
Jun 21, 2024 | $1.10 | $1.10 | $1.07 | $1.08 | 375 390 |
Jun 20, 2024 | $1.11 | $1.11 | $1.09 | $1.09 | 83 545 |
Jun 19, 2024 | $1.07 | $1.11 | $1.07 | $1.11 | 256 362 |
Jun 18, 2024 | $1.07 | $1.07 | $1.06 | $1.07 | 192 214 |
Jun 17, 2024 | $1.07 | $1.08 | $1.06 | $1.06 | 305 944 |
Jun 14, 2024 | $1.06 | $1.08 | $1.06 | $1.07 | 273 456 |
Jun 13, 2024 | $1.08 | $1.08 | $1.06 | $1.07 | 536 249 |
Jun 12, 2024 | $1.06 | $1.08 | $1.06 | $1.06 | 515 287 |
Jun 11, 2024 | $1.08 | $1.09 | $1.04 | $1.06 | 1 041 740 |
Jun 07, 2024 | $1.13 | $1.14 | $1.09 | $1.10 | 649 297 |
Jun 06, 2024 | $1.14 | $1.15 | $1.12 | $1.13 | 536 215 |
Jun 05, 2024 | $1.13 | $1.14 | $1.12 | $1.13 | 283 091 |
Jun 04, 2024 | $1.14 | $1.15 | $1.13 | $1.13 | 271 355 |
Jun 03, 2024 | $1.15 | $1.16 | $1.14 | $1.14 | 330 028 |
May 31, 2024 | $1.13 | $1.15 | $1.13 | $1.15 | 160 712 |
May 30, 2024 | $1.14 | $1.15 | $1.13 | $1.13 | 156 125 |
May 29, 2024 | $1.17 | $1.17 | $1.14 | $1.15 | 632 561 |
May 28, 2024 | $1.15 | $1.18 | $1.15 | $1.16 | 203 446 |
May 27, 2024 | $1.16 | $1.16 | $1.14 | $1.15 | 369 397 |
May 24, 2024 | $1.15 | $1.17 | $1.14 | $1.15 | 449 878 |
May 23, 2024 | $1.16 | $1.17 | $1.14 | $1.16 | 196 151 |
May 22, 2024 | $1.16 | $1.19 | $1.16 | $1.16 | 186 328 |
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 ACF.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the ACF.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 ACF.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.