NZX:KMD
Kathmandu Holdings Limited Stock Price (Quote)
$0.430
+0 (+0%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.430 | $0.560 | Wednesday, 22nd May 2024 KMD.NZ stock ended at $0.430. During the day the stock fluctuated 0% from a day low at $0.430 to a day high of $0.430. |
90 days | $0.430 | $0.630 | |
52 weeks | $0.430 | $1.14 |
Date | Open | High | Low | Close | Volume |
Dec 22, 2023 | $0.720 | $0.720 | $0.700 | $0.700 | 1 459 908 |
Dec 21, 2023 | $0.730 | $0.740 | $0.710 | $0.720 | 856 690 |
Dec 20, 2023 | $0.740 | $0.750 | $0.700 | $0.740 | 1 083 364 |
Dec 19, 2023 | $0.81 | $0.82 | $0.770 | $0.770 | 3 340 228 |
Dec 18, 2023 | $0.80 | $0.81 | $0.80 | $0.81 | 181 671 |
Dec 15, 2023 | $0.780 | $0.81 | $0.770 | $0.81 | 886 803 |
Dec 14, 2023 | $0.780 | $0.80 | $0.770 | $0.790 | 828 841 |
Dec 13, 2023 | $0.790 | $0.80 | $0.770 | $0.790 | 361 335 |
Dec 12, 2023 | $0.770 | $0.790 | $0.750 | $0.780 | 119 819 |
Dec 11, 2023 | $0.780 | $0.780 | $0.750 | $0.770 | 140 092 |
Dec 08, 2023 | $0.770 | $0.770 | $0.760 | $0.770 | 145 135 |
Dec 07, 2023 | $0.760 | $0.760 | $0.740 | $0.760 | 2 537 891 |
Dec 06, 2023 | $0.760 | $0.760 | $0.740 | $0.740 | 149 526 |
Dec 05, 2023 | $0.770 | $0.770 | $0.740 | $0.760 | 358 608 |
Dec 04, 2023 | $0.780 | $0.780 | $0.760 | $0.760 | 142 021 |
Dec 01, 2023 | $0.770 | $0.780 | $0.760 | $0.770 | 266 896 |
Nov 30, 2023 | $0.790 | $0.790 | $0.770 | $0.770 | 104 264 |
Nov 29, 2023 | $0.81 | $0.81 | $0.780 | $0.780 | 508 930 |
Nov 28, 2023 | $0.80 | $0.80 | $0.790 | $0.80 | 425 724 |
Nov 27, 2023 | $0.80 | $0.81 | $0.780 | $0.790 | 128 975 |
Nov 24, 2023 | $0.80 | $0.81 | $0.790 | $0.80 | 204 334 |
Nov 23, 2023 | $0.780 | $0.81 | $0.780 | $0.81 | 613 516 |
Nov 22, 2023 | $0.790 | $0.81 | $0.780 | $0.790 | 1 937 857 |
Nov 21, 2023 | $0.790 | $0.81 | $0.790 | $0.81 | 162 189 |
Nov 20, 2023 | $0.82 | $0.82 | $0.790 | $0.790 | 2 638 993 |
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 KMD.NZ stock historical prices to predict future price movements?
Trend Analysis: Examine the KMD.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 KMD.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.