ASX:GNX
Genex Power Limited Stock Price (Quote)
$0.270
+0 (+0%)
At Close: Jun 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.265 | $0.272 | Monday, 17th Jun 2024 GNX.AX stock ended at $0.270. During the day the stock fluctuated 0.741% from a day low at $0.270 to a day high of $0.272. |
90 days | $0.240 | $0.272 | |
52 weeks | $0.120 | $0.272 |
Historical Genex Power Limited prices
Date | Open | High | Low | Close | Volume |
Jul 26, 2023 | $0.150 | $0.160 | $0.147 | $0.160 | 1 058 587 |
Jul 25, 2023 | $0.160 | $0.160 | $0.147 | $0.150 | 2 191 806 |
Jul 24, 2023 | $0.155 | $0.160 | $0.155 | $0.160 | 193 124 |
Jul 21, 2023 | $0.160 | $0.160 | $0.155 | $0.160 | 244 537 |
Jul 20, 2023 | $0.160 | $0.160 | $0.155 | $0.155 | 295 817 |
Jul 19, 2023 | $0.155 | $0.160 | $0.150 | $0.160 | 433 769 |
Jul 18, 2023 | $0.155 | $0.155 | $0.150 | $0.155 | 228 084 |
Jul 17, 2023 | $0.155 | $0.155 | $0.150 | $0.155 | 288 030 |
Jul 14, 2023 | $0.150 | $0.155 | $0.150 | $0.155 | 433 893 |
Jul 13, 2023 | $0.160 | $0.160 | $0.150 | $0.155 | 3 588 947 |
Jul 12, 2023 | $0.160 | $0.160 | $0.152 | $0.155 | 441 246 |
Jul 11, 2023 | $0.155 | $0.160 | $0.150 | $0.160 | 205 520 |
Jul 10, 2023 | $0.150 | $0.160 | $0.150 | $0.160 | 1 318 925 |
Jul 07, 2023 | $0.155 | $0.155 | $0.150 | $0.150 | 1 643 085 |
Jul 06, 2023 | $0.160 | $0.160 | $0.152 | $0.155 | 72 100 |
Jul 05, 2023 | $0.155 | $0.155 | $0.150 | $0.155 | 101 581 |
Jul 04, 2023 | $0.155 | $0.155 | $0.150 | $0.150 | 180 458 |
Jul 03, 2023 | $0.150 | $0.155 | $0.150 | $0.155 | 399 026 |
Jun 30, 2023 | $0.145 | $0.160 | $0.145 | $0.150 | 2 567 863 |
Jun 29, 2023 | $0.150 | $0.160 | $0.145 | $0.150 | 3 035 365 |
Jun 28, 2023 | $0.150 | $0.155 | $0.150 | $0.150 | 640 332 |
Jun 27, 2023 | $0.165 | $0.165 | $0.140 | $0.145 | 6 295 010 |
Jun 26, 2023 | $0.160 | $0.165 | $0.160 | $0.165 | 353 259 |
Jun 23, 2023 | $0.165 | $0.165 | $0.160 | $0.165 | 666 955 |
Jun 22, 2023 | $0.165 | $0.165 | $0.162 | $0.165 | 50 742 |
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 GNX.AX stock historical prices to predict future price movements?
Trend Analysis: Examine the GNX.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 GNX.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.