NYSE:SI
Delisted
Silvergate Capital Corporation Stock Price (Quote)
$1.25
+0 (+0%)
At Close: Aug 09, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.25 | $1.25 | Wednesday, 9th Aug 2023 SI stock ended at $1.25. During the day the stock fluctuated 0% from a day low at $1.25 to a day high of $1.25. |
90 days | $1.25 | $1.25 | |
52 weeks | $1.10 | $108.11 |
Date | Open | High | Low | Close | Volume |
Apr 21, 2023 | $1.57 | $1.62 | $1.49 | $1.52 | 2 006 540 |
Apr 20, 2023 | $1.55 | $1.63 | $1.50 | $1.61 | 2 339 281 |
Apr 19, 2023 | $1.50 | $1.65 | $1.49 | $1.62 | 4 024 584 |
Apr 18, 2023 | $1.57 | $1.59 | $1.50 | $1.53 | 1 682 318 |
Apr 17, 2023 | $1.55 | $1.63 | $1.54 | $1.57 | 2 565 536 |
Apr 14, 2023 | $1.60 | $1.63 | $1.51 | $1.52 | 2 048 490 |
Apr 13, 2023 | $1.59 | $1.68 | $1.53 | $1.59 | 3 180 094 |
Apr 12, 2023 | $1.64 | $1.68 | $1.46 | $1.55 | 4 571 174 |
Apr 11, 2023 | $1.42 | $1.90 | $1.42 | $1.56 | 22 774 056 |
Apr 10, 2023 | $1.40 | $1.43 | $1.35 | $1.39 | 1 896 619 |
Apr 06, 2023 | $1.47 | $1.50 | $1.39 | $1.43 | 2 990 405 |
Apr 05, 2023 | $1.54 | $1.55 | $1.43 | $1.47 | 2 866 639 |
Apr 04, 2023 | $1.60 | $1.66 | $1.47 | $1.58 | 2 531 484 |
Apr 03, 2023 | $1.59 | $1.64 | $1.45 | $1.62 | 4 660 359 |
Mar 31, 2023 | $1.56 | $1.69 | $1.50 | $1.62 | 7 549 075 |
Mar 30, 2023 | $1.88 | $1.94 | $1.60 | $1.62 | 10 848 673 |
Mar 29, 2023 | $2.10 | $2.24 | $1.82 | $1.84 | 20 567 158 |
Mar 28, 2023 | $2.04 | $2.30 | $1.93 | $2.08 | 37 624 678 |
Mar 27, 2023 | $1.94 | $2.45 | $1.76 | $1.97 | 125 649 162 |
Mar 24, 2023 | $1.12 | $2.17 | $1.10 | $1.72 | 141 112 915 |
Mar 23, 2023 | $1.27 | $1.32 | $1.12 | $1.13 | 5 259 230 |
Mar 22, 2023 | $1.45 | $1.46 | $1.30 | $1.32 | 5 686 825 |
Mar 21, 2023 | $1.64 | $1.78 | $1.30 | $1.47 | 12 753 196 |
Mar 20, 2023 | $2.12 | $2.16 | $1.60 | $1.68 | 9 694 979 |
Mar 17, 2023 | $2.22 | $2.27 | $2.04 | $2.05 | 8 272 688 |
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 SI stock historical prices to predict future price movements?
Trend Analysis: Examine the SI 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 SI 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.