NYSE:AT
Delisted
Atlantic Power Corporation Stock Price (Quote)
$3.02
+0 (+0%)
At Close: Dec 08, 2021
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.02 | $3.02 | Wednesday, 8th Dec 2021 AT stock ended at $3.02. During the day the stock fluctuated 0% from a day low at $3.02 to a day high of $3.02. |
90 days | $3.02 | $3.02 | |
52 weeks | $1.95 | $3.06 |
Historical Atlantic Power Corporation prices
Date | Open | High | Low | Close | Volume |
Dec 10, 2020 | $2.04 | $2.05 | $2.02 | $2.03 | 340 252 |
Dec 09, 2020 | $2.05 | $2.08 | $2.03 | $2.03 | 283 957 |
Dec 08, 2020 | $2.05 | $2.05 | $2.03 | $2.04 | 204 076 |
Dec 07, 2020 | $2.07 | $2.08 | $2.04 | $2.04 | 286 496 |
Dec 04, 2020 | $2.03 | $2.08 | $2.03 | $2.07 | 293 527 |
Dec 03, 2020 | $2.04 | $2.05 | $2.01 | $2.04 | 457 327 |
Dec 02, 2020 | $2.03 | $2.09 | $2.03 | $2.03 | 302 100 |
Dec 01, 2020 | $2.06 | $2.08 | $2.04 | $2.05 | 524 591 |
Nov 30, 2020 | $2.05 | $2.10 | $2.05 | $2.06 | 266 701 |
Nov 27, 2020 | $2.10 | $2.14 | $2.06 | $2.07 | 178 044 |
Nov 25, 2020 | $2.06 | $2.14 | $2.06 | $2.11 | 343 876 |
Nov 24, 2020 | $2.06 | $2.08 | $2.04 | $2.06 | 298 806 |
Nov 23, 2020 | $2.04 | $2.06 | $2.02 | $2.03 | 227 163 |
Nov 20, 2020 | $2.03 | $2.05 | $2.00 | $2.02 | 240 781 |
Nov 19, 2020 | $2.03 | $2.06 | $2.02 | $2.06 | 159 501 |
Nov 18, 2020 | $2.09 | $2.09 | $2.03 | $2.03 | 234 790 |
Nov 17, 2020 | $2.07 | $2.10 | $2.07 | $2.09 | 154 455 |
Nov 16, 2020 | $2.06 | $2.09 | $2.05 | $2.09 | 280 867 |
Nov 13, 2020 | $2.04 | $2.05 | $2.01 | $2.03 | 207 014 |
Nov 12, 2020 | $2.04 | $2.05 | $2.00 | $2.01 | 151 066 |
Nov 11, 2020 | $2.03 | $2.09 | $2.00 | $2.07 | 577 315 |
Nov 10, 2020 | $2.03 | $2.05 | $1.99 | $2.02 | 456 321 |
Nov 09, 2020 | $2.02 | $2.06 | $1.98 | $1.98 | 347 940 |
Nov 06, 2020 | $2.01 | $2.02 | $1.97 | $1.97 | 295 283 |
Nov 05, 2020 | $1.97 | $2.02 | $1.97 | $2.00 | 125 889 |
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 AT stock historical prices to predict future price movements?
Trend Analysis: Examine the AT 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 AT 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.