NASDAQ:SPNE
Delisted
SeaSpine Holdings Corporation Stock Price (Quote)
$9.54
+0 (+0%)
At Close: Apr 03, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $9.54 | $9.54 | Monday, 3rd Apr 2023 SPNE stock ended at $9.54. During the day the stock fluctuated 0% from a day low at $9.54 to a day high of $9.54. |
90 days | $8.37 | $9.67 | |
52 weeks | $5.48 | $12.19 |
Date | Open | High | Low | Close | Volume |
Jul 22, 2022 | $5.95 | $6.11 | $5.71 | $5.77 | 121 028 |
Jul 21, 2022 | $5.72 | $5.91 | $5.71 | $5.91 | 121 205 |
Jul 20, 2022 | $5.67 | $5.89 | $5.58 | $5.76 | 121 574 |
Jul 19, 2022 | $5.68 | $5.87 | $5.60 | $5.71 | 105 707 |
Jul 18, 2022 | $5.85 | $6.01 | $5.54 | $5.57 | 153 774 |
Jul 15, 2022 | $5.89 | $6.04 | $5.81 | $5.95 | 117 753 |
Jul 14, 2022 | $5.76 | $5.84 | $5.68 | $5.79 | 124 979 |
Jul 13, 2022 | $5.73 | $5.86 | $5.73 | $5.83 | 156 177 |
Jul 12, 2022 | $5.74 | $5.85 | $5.63 | $5.81 | 209 640 |
Jul 11, 2022 | $6.00 | $6.00 | $5.71 | $5.73 | 147 048 |
Jul 08, 2022 | $5.93 | $6.12 | $5.85 | $6.00 | 353 286 |
Jul 07, 2022 | $5.90 | $6.08 | $5.84 | $6.00 | 282 495 |
Jul 06, 2022 | $5.87 | $6.04 | $5.75 | $5.89 | 156 305 |
Jul 05, 2022 | $5.68 | $5.94 | $5.55 | $5.92 | 305 245 |
Jul 01, 2022 | $5.68 | $5.80 | $5.61 | $5.79 | 120 058 |
Jun 30, 2022 | $5.85 | $5.96 | $5.59 | $5.65 | 131 575 |
Jun 29, 2022 | $6.10 | $6.20 | $5.84 | $5.94 | 169 173 |
Jun 28, 2022 | $6.51 | $6.62 | $6.11 | $6.13 | 128 896 |
Jun 27, 2022 | $6.66 | $6.66 | $6.45 | $6.51 | 185 877 |
Jun 24, 2022 | $6.99 | $7.05 | $6.59 | $6.60 | 918 179 |
Jun 23, 2022 | $6.94 | $7.06 | $6.82 | $6.91 | 146 128 |
Jun 22, 2022 | $6.73 | $7.07 | $6.73 | $6.93 | 182 306 |
Jun 21, 2022 | $6.77 | $7.02 | $6.77 | $6.84 | 114 367 |
Jun 17, 2022 | $6.62 | $7.02 | $6.62 | $6.72 | 280 204 |
Jun 16, 2022 | $6.71 | $6.74 | $6.49 | $6.55 | 149 581 |
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 SPNE stock historical prices to predict future price movements?
Trend Analysis: Examine the SPNE 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 SPNE 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.