PINK:APHLF
Delisted
Alpha Lithium Stock Price (Quote)
$1.10
+0 (+0%)
At Close: Mar 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.10 | $1.10 | Tuesday, 19th Mar 2024 APHLF stock ended at $1.10. During the day the stock fluctuated 0% from a day low at $1.10 to a day high of $1.10. |
90 days | $1.09 | $1.11 | |
52 weeks | $0.602 | $1.46 |
Date | Open | High | Low | Close | Volume |
Sep 19, 2023 | $0.90 | $0.95 | $0.90 | $0.91 | 162 429 |
Sep 18, 2023 | $0.95 | $0.95 | $0.93 | $0.95 | 224 930 |
Sep 15, 2023 | $0.91 | $0.95 | $0.91 | $0.95 | 115 047 |
Sep 14, 2023 | $0.92 | $0.94 | $0.91 | $0.93 | 194 324 |
Sep 13, 2023 | $0.93 | $0.95 | $0.91 | $0.92 | 208 903 |
Sep 12, 2023 | $0.94 | $0.95 | $0.89 | $0.94 | 94 419 |
Sep 11, 2023 | $0.96 | $1.00 | $0.93 | $0.93 | 135 373 |
Sep 08, 2023 | $0.92 | $0.96 | $0.92 | $0.96 | 132 065 |
Sep 07, 2023 | $0.91 | $0.94 | $0.91 | $0.92 | 176 085 |
Sep 06, 2023 | $0.91 | $0.93 | $0.91 | $0.93 | 134 810 |
Sep 05, 2023 | $0.91 | $0.93 | $0.90 | $0.92 | 131 085 |
Sep 01, 2023 | $0.93 | $0.96 | $0.92 | $0.92 | 95 040 |
Aug 31, 2023 | $0.93 | $0.95 | $0.92 | $0.95 | 100 134 |
Aug 30, 2023 | $0.90 | $0.94 | $0.90 | $0.93 | 74 290 |
Aug 29, 2023 | $0.91 | $0.94 | $0.90 | $0.94 | 126 730 |
Aug 28, 2023 | $0.95 | $0.95 | $0.89 | $0.92 | 133 673 |
Aug 25, 2023 | $0.90 | $0.95 | $0.90 | $0.94 | 175 884 |
Aug 24, 2023 | $0.92 | $0.94 | $0.90 | $0.94 | 159 756 |
Aug 23, 2023 | $0.94 | $0.94 | $0.92 | $0.93 | 178 684 |
Aug 22, 2023 | $0.94 | $0.95 | $0.92 | $0.93 | 105 708 |
Aug 21, 2023 | $0.88 | $0.94 | $0.88 | $0.93 | 310 853 |
Aug 18, 2023 | $0.91 | $0.95 | $0.91 | $0.94 | 143 734 |
Aug 17, 2023 | $0.94 | $0.97 | $0.93 | $0.93 | 245 550 |
Aug 16, 2023 | $0.93 | $0.98 | $0.93 | $0.96 | 206 405 |
Aug 15, 2023 | $0.97 | $0.98 | $0.94 | $0.98 | 282 300 |
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 APHLF stock historical prices to predict future price movements?
Trend Analysis: Examine the APHLF 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 APHLF 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.