NZX:ARG
Argosy Property Limited Stock Price (Quote)
$1.07
-0.0100 (-0.93%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.07 | $1.15 | Monday, 20th May 2024 ARG.NZ stock ended at $1.07. This is 0.93% less than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 2.80% from a day low at $1.07 to a day high of $1.10. |
90 days | $1.07 | $1.18 | |
52 weeks | $1.03 | $1.24 |
Date | Open | High | Low | Close | Volume |
Mar 06, 2024 | $1.11 | $1.12 | $1.10 | $1.12 | 848 158 |
Mar 05, 2024 | $1.12 | $1.12 | $1.11 | $1.11 | 478 173 |
Mar 04, 2024 | $1.12 | $1.12 | $1.11 | $1.11 | 649 808 |
Mar 01, 2024 | $1.11 | $1.12 | $1.11 | $1.12 | 261 805 |
Feb 29, 2024 | $1.12 | $1.12 | $1.11 | $1.11 | 701 753 |
Feb 28, 2024 | $1.12 | $1.12 | $1.11 | $1.12 | 575 704 |
Feb 27, 2024 | $1.11 | $1.11 | $1.10 | $1.11 | 598 019 |
Feb 26, 2024 | $1.11 | $1.11 | $1.10 | $1.11 | 232 730 |
Feb 23, 2024 | $1.12 | $1.12 | $1.10 | $1.11 | 774 520 |
Feb 22, 2024 | $1.12 | $1.13 | $1.11 | $1.12 | 199 237 |
Feb 21, 2024 | $1.13 | $1.13 | $1.11 | $1.11 | 330 813 |
Feb 20, 2024 | $1.13 | $1.13 | $1.12 | $1.13 | 170 298 |
Feb 19, 2024 | $1.12 | $1.14 | $1.12 | $1.12 | 162 733 |
Feb 16, 2024 | $1.14 | $1.14 | $1.13 | $1.14 | 98 268 |
Feb 15, 2024 | $1.11 | $1.13 | $1.11 | $1.13 | 201 858 |
Feb 14, 2024 | $1.12 | $1.12 | $1.10 | $1.11 | 356 635 |
Feb 13, 2024 | $1.13 | $1.13 | $1.11 | $1.11 | 459 691 |
Feb 12, 2024 | $1.13 | $1.13 | $1.12 | $1.12 | 465 560 |
Feb 09, 2024 | $1.14 | $1.15 | $1.13 | $1.13 | 218 305 |
Feb 08, 2024 | $1.14 | $1.15 | $1.13 | $1.15 | 480 687 |
Feb 07, 2024 | $1.14 | $1.14 | $1.13 | $1.13 | 326 134 |
Feb 05, 2024 | $1.17 | $1.17 | $1.14 | $1.14 | 237 697 |
Feb 02, 2024 | $1.16 | $1.18 | $1.15 | $1.15 | 451 536 |
Feb 01, 2024 | $1.16 | $1.17 | $1.15 | $1.15 | 307 443 |
Jan 31, 2024 | $1.17 | $1.18 | $1.15 | $1.16 | 753 064 |
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 ARG.NZ stock historical prices to predict future price movements?
Trend Analysis: Examine the ARG.NZ 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 ARG.NZ 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.