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 |
Nov 14, 2016 | $2.45 | $2.45 | $2.35 | $2.40 | 415 322 |
Nov 11, 2016 | $2.45 | $2.45 | $2.35 | $2.40 | 593 052 |
Nov 10, 2016 | $2.25 | $2.45 | $2.25 | $2.45 | 716 314 |
Nov 09, 2016 | $2.15 | $2.25 | $2.15 | $2.25 | 375 126 |
Nov 08, 2016 | $2.20 | $2.20 | $2.20 | $2.20 | 1 112 602 |
Nov 07, 2016 | $2.15 | $2.25 | $2.15 | $2.20 | 270 900 |
Nov 04, 2016 | $2.20 | $2.20 | $2.13 | $2.15 | 489 800 |
Nov 03, 2016 | $2.25 | $2.29 | $2.20 | $2.20 | 281 200 |
Nov 02, 2016 | $2.30 | $2.35 | $2.25 | $2.30 | 412 900 |
Nov 01, 2016 | $2.30 | $2.35 | $2.25 | $2.30 | 240 900 |
Oct 31, 2016 | $2.35 | $2.35 | $2.30 | $2.30 | 266 300 |
Oct 28, 2016 | $2.34 | $2.36 | $2.32 | $2.33 | 231 300 |
Oct 27, 2016 | $2.36 | $2.36 | $2.33 | $2.34 | 157 400 |
Oct 26, 2016 | $2.37 | $2.38 | $2.35 | $2.35 | 276 800 |
Oct 25, 2016 | $2.40 | $2.43 | $2.38 | $2.38 | 169 900 |
Oct 24, 2016 | $2.38 | $2.43 | $2.36 | $2.40 | 208 300 |
Oct 21, 2016 | $2.41 | $2.43 | $2.36 | $2.38 | 293 000 |
Oct 20, 2016 | $2.42 | $2.45 | $2.40 | $2.42 | 145 500 |
Oct 19, 2016 | $2.42 | $2.46 | $2.41 | $2.42 | 270 300 |
Oct 18, 2016 | $2.44 | $2.45 | $2.41 | $2.42 | 170 200 |
Oct 17, 2016 | $2.45 | $2.48 | $2.41 | $2.43 | 157 400 |
Oct 14, 2016 | $2.43 | $2.48 | $2.42 | $2.46 | 236 100 |
Oct 13, 2016 | $2.41 | $2.45 | $2.41 | $2.42 | 177 900 |
Oct 12, 2016 | $2.45 | $2.47 | $2.41 | $2.42 | 171 700 |
Oct 11, 2016 | $2.44 | $2.52 | $2.43 | $2.45 | 276 200 |
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.