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 |
Feb 12, 2016 | $15.07 | $15.61 | $15.00 | $15.47 | 310 500 |
Feb 11, 2016 | $15.20 | $15.91 | $14.97 | $15.01 | 545 500 |
Feb 10, 2016 | $16.05 | $16.23 | $15.75 | $16.05 | 388 600 |
Feb 09, 2016 | $15.94 | $16.16 | $15.68 | $16.04 | 193 600 |
Feb 08, 2016 | $16.12 | $16.25 | $15.68 | $16.21 | 184 300 |
Feb 05, 2016 | $16.31 | $16.51 | $16.08 | $16.24 | 126 000 |
Feb 04, 2016 | $16.35 | $16.61 | $16.15 | $16.33 | 182 900 |
Feb 03, 2016 | $16.21 | $16.48 | $15.70 | $16.37 | 253 400 |
Feb 02, 2016 | $16.04 | $16.29 | $15.76 | $15.99 | 325 500 |
Feb 01, 2016 | $16.01 | $16.22 | $15.67 | $16.16 | 253 600 |
Jan 29, 2016 | $16.93 | $16.98 | $15.91 | $16.08 | 503 700 |
Jan 28, 2016 | $16.50 | $16.89 | $16.30 | $16.80 | 410 400 |
Jan 27, 2016 | $15.78 | $16.51 | $15.73 | $16.40 | 315 100 |
Jan 26, 2016 | $16.01 | $16.24 | $15.70 | $15.77 | 273 600 |
Jan 25, 2016 | $16.33 | $16.50 | $15.73 | $15.88 | 270 400 |
Jan 22, 2016 | $16.03 | $16.77 | $16.00 | $16.46 | 422 500 |
Jan 21, 2016 | $15.19 | $16.43 | $15.17 | $15.94 | 509 100 |
Jan 20, 2016 | $14.69 | $15.27 | $14.27 | $15.19 | 303 000 |
Jan 19, 2016 | $14.27 | $15.16 | $14.20 | $15.02 | 381 600 |
Jan 15, 2016 | $14.51 | $14.51 | $13.67 | $14.06 | 488 900 |
Jan 14, 2016 | $14.56 | $15.23 | $14.51 | $14.68 | 354 400 |
Jan 13, 2016 | $15.25 | $15.39 | $14.69 | $14.49 | 317 600 |
Jan 12, 2016 | $14.91 | $15.23 | $14.85 | $14.78 | 348 300 |
Jan 11, 2016 | $14.57 | $14.72 | $14.26 | $14.34 | 511 300 |
Jan 08, 2016 | $14.42 | $14.94 | $14.24 | $14.27 | 422 000 |
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.