ASX:CNU
Chorus Limited Stock Price (Quote)
$6.74
-0.0900 (-1.32%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.47 | $6.83 | Friday, 24th May 2024 CNU.AX stock ended at $6.74. This is 1.32% less than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 1.04% from a day low at $6.70 to a day high of $6.77. |
90 days | $6.47 | $7.65 | |
52 weeks | $6.45 | $8.00 |
Date | Open | High | Low | Close | Volume |
Nov 22, 2023 | $7.03 | $7.03 | $6.93 | $6.95 | 223 976 |
Nov 21, 2023 | $6.96 | $7.02 | $6.94 | $7.01 | 322 243 |
Nov 20, 2023 | $7.00 | $7.02 | $6.90 | $6.92 | 213 937 |
Nov 17, 2023 | $7.05 | $7.07 | $6.99 | $7.01 | 179 588 |
Nov 16, 2023 | $7.06 | $7.09 | $7.03 | $7.05 | 293 164 |
Nov 15, 2023 | $7.07 | $7.08 | $7.01 | $7.05 | 274 637 |
Nov 14, 2023 | $6.98 | $7.04 | $6.92 | $6.98 | 310 527 |
Nov 13, 2023 | $6.97 | $7.05 | $6.93 | $6.93 | 223 257 |
Nov 10, 2023 | $6.84 | $6.95 | $6.84 | $6.95 | 223 806 |
Nov 09, 2023 | $6.81 | $6.91 | $6.81 | $6.88 | 265 464 |
Nov 08, 2023 | $6.89 | $6.89 | $6.79 | $6.79 | 433 776 |
Nov 07, 2023 | $6.83 | $6.88 | $6.77 | $6.83 | 207 649 |
Nov 06, 2023 | $6.87 | $6.91 | $6.79 | $6.81 | 388 066 |
Nov 03, 2023 | $6.85 | $6.93 | $6.81 | $6.84 | 379 717 |
Nov 02, 2023 | $6.58 | $6.80 | $6.55 | $6.80 | 311 803 |
Nov 01, 2023 | $6.62 | $6.62 | $6.47 | $6.58 | 291 587 |
Oct 31, 2023 | $6.49 | $6.63 | $6.49 | $6.59 | 435 873 |
Oct 30, 2023 | $6.58 | $6.61 | $6.45 | $6.48 | 476 551 |
Oct 27, 2023 | $6.72 | $6.72 | $6.62 | $6.69 | 373 021 |
Oct 26, 2023 | $6.72 | $6.73 | $6.60 | $6.68 | 442 092 |
Oct 25, 2023 | $6.74 | $6.80 | $6.70 | $6.73 | 405 160 |
Oct 24, 2023 | $6.79 | $6.82 | $6.73 | $6.80 | 244 647 |
Oct 23, 2023 | $6.87 | $6.89 | $6.77 | $6.80 | 184 366 |
Oct 20, 2023 | $6.96 | $7.00 | $6.90 | $6.91 | 196 157 |
Oct 19, 2023 | $7.00 | $7.06 | $6.95 | $7.04 | 264 623 |
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 CNU.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the CNU.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 CNU.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.