ASX:NUF
Nufarm Limited Stock Price (Quote)
$4.54
+0 (+0%)
At Close: Jul 03, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.48 | $4.87 | Wednesday, 3rd Jul 2024 NUF.AX stock ended at $4.54. During the day the stock fluctuated 1.21% from a day low at $4.54 to a day high of $4.59. |
90 days | $4.33 | $5.46 | |
52 weeks | $4.29 | $5.99 |
Historical Nufarm Limited prices
Date | Open | High | Low | Close | Volume |
Jul 03, 2024 | $4.54 | $4.59 | $4.54 | $4.54 | 729 992 |
Jul 02, 2024 | $4.56 | $4.58 | $4.51 | $4.54 | 619 913 |
Jul 01, 2024 | $4.56 | $4.61 | $4.55 | $4.59 | 456 852 |
Jun 28, 2024 | $4.67 | $4.70 | $4.59 | $4.60 | 1 309 938 |
Jun 27, 2024 | $4.58 | $4.66 | $4.55 | $4.66 | 1 002 222 |
Jun 26, 2024 | $4.64 | $4.65 | $4.58 | $4.62 | 1 034 641 |
Jun 25, 2024 | $4.71 | $4.72 | $4.64 | $4.67 | 740 838 |
Jun 24, 2024 | $4.70 | $4.72 | $4.61 | $4.66 | 582 989 |
Jun 21, 2024 | $4.74 | $4.74 | $4.67 | $4.67 | 1 485 973 |
Jun 20, 2024 | $4.73 | $4.77 | $4.68 | $4.73 | 893 779 |
Jun 19, 2024 | $4.73 | $4.75 | $4.68 | $4.74 | 539 147 |
Jun 18, 2024 | $4.80 | $4.81 | $4.69 | $4.70 | 674 480 |
Jun 17, 2024 | $4.80 | $4.81 | $4.75 | $4.77 | 624 739 |
Jun 14, 2024 | $4.76 | $4.83 | $4.73 | $4.82 | 1 001 432 |
Jun 13, 2024 | $4.76 | $4.79 | $4.74 | $4.76 | 644 030 |
Jun 12, 2024 | $4.71 | $4.73 | $4.65 | $4.72 | 1 142 329 |
Jun 11, 2024 | $4.84 | $4.85 | $4.70 | $4.70 | 1 315 580 |
Jun 07, 2024 | $4.73 | $4.87 | $4.72 | $4.86 | 1 177 116 |
Jun 06, 2024 | $4.68 | $4.74 | $4.59 | $4.74 | 1 320 968 |
Jun 05, 2024 | $4.58 | $4.63 | $4.55 | $4.62 | 897 453 |
Jun 04, 2024 | $4.54 | $4.71 | $4.53 | $4.63 | 1 826 386 |
Jun 03, 2024 | $4.51 | $4.57 | $4.48 | $4.57 | 821 540 |
May 31, 2024 | $4.46 | $4.51 | $4.42 | $4.47 | 2 564 913 |
May 30, 2024 | $4.45 | $4.52 | $4.40 | $4.41 | 1 850 463 |
May 29, 2024 | $4.48 | $4.50 | $4.39 | $4.46 | 1 975 431 |
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 NUF.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the NUF.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 NUF.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.