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 |
Historical Alpha Lithium Corporation prices
Date | Open | High | Low | Close | Volume |
Feb 13, 2023 | $0.84 | $0.86 | $0.82 | $0.83 | 601 211 |
Feb 10, 2023 | $0.87 | $0.90 | $0.83 | $0.85 | 621 140 |
Feb 09, 2023 | $0.92 | $0.97 | $0.88 | $0.88 | 373 196 |
Feb 08, 2023 | $0.91 | $0.93 | $0.89 | $0.91 | 435 981 |
Feb 07, 2023 | $0.95 | $0.99 | $0.90 | $0.90 | 429 926 |
Feb 06, 2023 | $0.97 | $1.00 | $0.91 | $0.91 | 724 537 |
Feb 03, 2023 | $0.95 | $0.98 | $0.94 | $0.94 | 535 717 |
Feb 02, 2023 | $0.92 | $0.95 | $0.92 | $0.95 | 902 275 |
Feb 01, 2023 | $0.95 | $0.97 | $0.91 | $0.92 | 920 708 |
Jan 31, 2023 | $0.89 | $0.95 | $0.87 | $0.94 | 812 490 |
Jan 30, 2023 | $0.87 | $0.91 | $0.87 | $0.88 | 550 193 |
Jan 27, 2023 | $0.87 | $0.88 | $0.83 | $0.87 | 435 115 |
Jan 26, 2023 | $0.89 | $0.90 | $0.86 | $0.87 | 214 161 |
Jan 25, 2023 | $0.89 | $0.90 | $0.87 | $0.88 | 283 488 |
Jan 24, 2023 | $0.89 | $0.90 | $0.87 | $0.88 | 296 973 |
Jan 23, 2023 | $0.88 | $0.90 | $0.86 | $0.86 | 483 296 |
Jan 20, 2023 | $0.86 | $0.90 | $0.85 | $0.88 | 222 219 |
Jan 19, 2023 | $0.97 | $0.97 | $0.87 | $0.88 | 333 942 |
Jan 18, 2023 | $0.90 | $0.91 | $0.86 | $0.88 | 432 312 |
Jan 17, 2023 | $0.89 | $0.91 | $0.89 | $0.91 | 437 861 |
Jan 13, 2023 | $0.95 | $0.96 | $0.89 | $0.90 | 603 956 |
Jan 12, 2023 | $0.95 | $0.96 | $0.91 | $0.94 | 502 220 |
Jan 11, 2023 | $0.90 | $0.95 | $0.90 | $0.94 | 843 209 |
Jan 10, 2023 | $0.89 | $0.90 | $0.87 | $0.90 | 461 670 |
Jan 09, 2023 | $0.86 | $0.90 | $0.85 | $0.88 | 1 012 555 |
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.