NASDAQ:SBNY
Signature Bank Stock Price (Quote)
$3.12
-0.280 (-8.24%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.40 | $3.59 | Thursday, 16th May 2024 SBNY stock ended at $3.12. This is 8.24% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 48.96% from a day low at $2.41 to a day high of $3.59. |
90 days | $1.10 | $3.60 | |
52 weeks | $0.0003 | $3.60 |
Date | Open | High | Low | Close | Volume |
Jun 26, 2023 | $0.140 | $0.145 | $0.135 | $0.140 | 442 319 |
Jun 23, 2023 | $0.133 | $0.144 | $0.133 | $0.140 | 229 728 |
Jun 22, 2023 | $0.141 | $0.145 | $0.133 | $0.134 | 1 073 486 |
Jun 21, 2023 | $0.136 | $0.145 | $0.135 | $0.142 | 582 913 |
Jun 20, 2023 | $0.137 | $0.148 | $0.127 | $0.136 | 1 295 715 |
Jun 16, 2023 | $0.137 | $0.150 | $0.131 | $0.135 | 1 469 614 |
Jun 15, 2023 | $0.120 | $0.135 | $0.120 | $0.131 | 1 652 586 |
Jun 14, 2023 | $0.129 | $0.129 | $0.120 | $0.120 | 530 503 |
Jun 13, 2023 | $0.122 | $0.140 | $0.116 | $0.126 | 1 089 839 |
Jun 12, 2023 | $0.130 | $0.130 | $0.120 | $0.122 | 380 724 |
Jun 09, 2023 | $0.130 | $0.132 | $0.120 | $0.130 | 1 035 964 |
Jun 08, 2023 | $0.130 | $0.130 | $0.111 | $0.120 | 920 686 |
Jun 07, 2023 | $0.112 | $0.120 | $0.112 | $0.120 | 452 384 |
Jun 06, 2023 | $0.115 | $0.120 | $0.103 | $0.115 | 508 633 |
Jun 05, 2023 | $0.113 | $0.116 | $0.109 | $0.111 | 638 817 |
Jun 02, 2023 | $0.121 | $0.129 | $0.101 | $0.109 | 2 248 895 |
Jun 01, 2023 | $0.121 | $0.132 | $0.117 | $0.121 | 913 770 |
May 31, 2023 | $0.123 | $0.133 | $0.120 | $0.120 | 886 996 |
May 30, 2023 | $0.140 | $0.148 | $0.120 | $0.132 | 1 218 105 |
May 26, 2023 | $0.129 | $0.140 | $0.129 | $0.131 | 944 880 |
May 25, 2023 | $0.115 | $0.130 | $0.114 | $0.130 | 617 928 |
May 24, 2023 | $0.134 | $0.134 | $0.114 | $0.123 | 1 125 716 |
May 23, 2023 | $0.123 | $0.144 | $0.118 | $0.135 | 1 473 749 |
May 22, 2023 | $0.134 | $0.148 | $0.111 | $0.125 | 1 619 332 |
May 19, 2023 | $0.150 | $0.154 | $0.130 | $0.140 | 1 869 454 |
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 SBNY stock historical prices to predict future price movements?
Trend Analysis: Examine the SBNY 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 SBNY 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.