ASX:DYL
Deep Yellow Limited Stock Price (Quote)
$1.66
-0.0250 (-1.49%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.31 | $1.72 | Friday, 17th May 2024 DYL.AX stock ended at $1.66. This is 1.49% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.99% from a day low at $1.63 to a day high of $1.70. |
90 days | $1.14 | $1.72 | |
52 weeks | $0.532 | $1.76 |
Date | Open | High | Low | Close | Volume |
Jan 30, 2024 | $1.40 | $1.44 | $1.38 | $1.41 | 4 937 522 |
Jan 29, 2024 | $1.36 | $1.36 | $1.30 | $1.34 | 5 609 977 |
Jan 25, 2024 | $1.41 | $1.43 | $1.38 | $1.40 | 3 600 814 |
Jan 24, 2024 | $1.42 | $1.44 | $1.40 | $1.42 | 3 321 486 |
Jan 23, 2024 | $1.38 | $1.42 | $1.36 | $1.39 | 3 755 120 |
Jan 22, 2024 | $1.50 | $1.50 | $1.38 | $1.39 | 4 094 575 |
Jan 19, 2024 | $1.55 | $1.57 | $1.45 | $1.48 | 9 724 584 |
Jan 18, 2024 | $1.54 | $1.57 | $1.44 | $1.57 | 7 858 587 |
Jan 17, 2024 | $1.48 | $1.59 | $1.48 | $1.55 | 9 055 409 |
Jan 16, 2024 | $1.50 | $1.51 | $1.45 | $1.51 | 10 730 021 |
Jan 15, 2024 | $1.41 | $1.55 | $1.41 | $1.50 | 18 417 371 |
Jan 12, 2024 | $1.28 | $1.35 | $1.28 | $1.34 | 8 115 695 |
Jan 11, 2024 | $1.23 | $1.26 | $1.19 | $1.25 | 4 819 240 |
Jan 10, 2024 | $1.21 | $1.25 | $1.20 | $1.24 | 7 110 453 |
Jan 09, 2024 | $1.15 | $1.17 | $1.14 | $1.17 | 3 601 445 |
Jan 08, 2024 | $1.14 | $1.21 | $1.14 | $1.16 | 4 871 168 |
Jan 05, 2024 | $1.17 | $1.20 | $1.14 | $1.14 | 6 276 879 |
Jan 04, 2024 | $1.14 | $1.17 | $1.13 | $1.16 | 3 262 575 |
Jan 03, 2024 | $1.11 | $1.16 | $1.10 | $1.16 | 5 100 856 |
Jan 02, 2024 | $1.07 | $1.13 | $1.06 | $1.13 | 4 384 115 |
Dec 29, 2023 | $1.07 | $1.10 | $1.07 | $1.09 | 3 094 196 |
Dec 28, 2023 | $1.12 | $1.14 | $1.05 | $1.09 | 6 516 291 |
Dec 27, 2023 | $1.14 | $1.18 | $1.13 | $1.13 | 6 946 129 |
Dec 22, 2023 | $1.09 | $1.14 | $1.08 | $1.13 | 5 635 858 |
Dec 21, 2023 | $1.01 | $1.07 | $1.01 | $1.07 | 6 879 590 |
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 DYL.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the DYL.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 DYL.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.