NYSE:SSW
Delisted
Seaspan Corporation Stock Price (Quote)
$9.91
+0 (+0%)
At Close: Apr 16, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.91 | $9.91 | Thursday, 16th Apr 2020 SSW stock ended at $9.91. During the day the stock fluctuated 0% from a day low at $9.91 to a day high of $9.91. |
90 days | $9.76 | $14.17 | |
52 weeks | $9.00 | $14.62 |
Date | Open | High | Low | Close | Volume |
Jul 01, 2019 | $9.94 | $10.25 | $9.94 | $10.17 | 1 046 108 |
Jun 28, 2019 | $9.56 | $9.88 | $9.56 | $9.81 | 464 914 |
Jun 27, 2019 | $9.78 | $9.78 | $9.49 | $9.49 | 453 066 |
Jun 26, 2019 | $9.53 | $9.78 | $9.53 | $9.74 | 430 516 |
Jun 25, 2019 | $9.40 | $9.51 | $9.30 | $9.48 | 584 268 |
Jun 24, 2019 | $9.54 | $9.58 | $9.36 | $9.39 | 688 306 |
Jun 21, 2019 | $9.40 | $9.54 | $9.30 | $9.54 | 584 284 |
Jun 20, 2019 | $9.38 | $9.69 | $9.31 | $9.41 | 805 202 |
Jun 19, 2019 | $9.20 | $9.30 | $9.13 | $9.23 | 5 506 368 |
Jun 18, 2019 | $9.12 | $9.31 | $9.08 | $9.16 | 508 206 |
Jun 17, 2019 | $9.18 | $9.28 | $9.06 | $9.07 | 484 465 |
Jun 14, 2019 | $9.34 | $9.40 | $9.18 | $9.19 | 263 693 |
Jun 13, 2019 | $9.33 | $9.39 | $9.31 | $9.37 | 267 838 |
Jun 12, 2019 | $9.32 | $9.32 | $9.12 | $9.26 | 519 886 |
Jun 11, 2019 | $9.31 | $9.39 | $9.17 | $9.33 | 382 250 |
Jun 10, 2019 | $9.17 | $9.33 | $9.17 | $9.23 | 353 174 |
Jun 07, 2019 | $9.25 | $9.35 | $9.07 | $9.11 | 422 595 |
Jun 06, 2019 | $9.39 | $9.49 | $9.20 | $9.26 | 333 869 |
Jun 05, 2019 | $9.36 | $9.42 | $9.23 | $9.36 | 317 289 |
Jun 04, 2019 | $9.14 | $9.37 | $9.07 | $9.36 | 534 744 |
Jun 03, 2019 | $9.25 | $9.45 | $9.00 | $9.10 | 929 196 |
May 31, 2019 | $9.36 | $9.45 | $9.31 | $9.31 | 384 820 |
May 30, 2019 | $9.56 | $9.66 | $9.44 | $9.50 | 374 158 |
May 29, 2019 | $9.30 | $9.56 | $9.20 | $9.49 | 619 863 |
May 28, 2019 | $9.20 | $9.48 | $9.20 | $9.46 | 870 950 |
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 SSW stock historical prices to predict future price movements?
Trend Analysis: Examine the SSW 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 SSW 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.