NASDAQ:SNPR
Delisted
Tortoise Acquisition Corp. II Stock Price (Quote)
$4.20
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.20 | $4.20 | Wednesday, 17th Aug 2022 SNPR stock ended at $4.20. During the day the stock fluctuated 0% from a day low at $4.20 to a day high of $4.20. |
90 days | $4.20 | $4.20 | |
52 weeks | $3.76 | $14.34 |
Date | Open | High | Low | Close | Volume |
May 04, 2021 | $10.10 | $10.32 | $10.09 | $10.20 | 731 113 |
May 03, 2021 | $10.16 | $10.18 | $10.11 | $10.13 | 467 913 |
Apr 30, 2021 | $10.11 | $10.16 | $10.11 | $10.15 | 336 252 |
Apr 29, 2021 | $10.31 | $10.50 | $10.12 | $10.15 | 1 405 647 |
Apr 28, 2021 | $10.21 | $10.32 | $10.15 | $10.29 | 609 333 |
Apr 27, 2021 | $10.48 | $10.48 | $10.21 | $10.26 | 469 833 |
Apr 26, 2021 | $10.49 | $10.52 | $10.34 | $10.39 | 465 590 |
Apr 23, 2021 | $10.38 | $10.50 | $10.30 | $10.45 | 862 365 |
Apr 22, 2021 | $10.35 | $10.35 | $10.16 | $10.29 | 1 011 001 |
Apr 21, 2021 | $10.01 | $10.29 | $10.00 | $10.19 | 721 570 |
Apr 20, 2021 | $9.97 | $10.10 | $9.96 | $10.05 | 953 634 |
Apr 19, 2021 | $9.98 | $10.15 | $9.98 | $10.05 | 1 644 476 |
Apr 16, 2021 | $10.05 | $10.05 | $9.95 | $10.01 | 1 631 836 |
Apr 15, 2021 | $10.15 | $10.18 | $10.02 | $10.11 | 1 422 684 |
Apr 14, 2021 | $10.17 | $10.20 | $10.09 | $10.17 | 956 662 |
Apr 13, 2021 | $10.26 | $10.32 | $10.15 | $10.23 | 1 190 882 |
Apr 12, 2021 | $10.45 | $10.49 | $10.27 | $10.37 | 1 047 970 |
Apr 09, 2021 | $10.45 | $10.51 | $10.45 | $10.49 | 550 137 |
Apr 08, 2021 | $10.53 | $10.54 | $10.45 | $10.51 | 631 055 |
Apr 07, 2021 | $10.67 | $10.70 | $10.43 | $10.52 | 731 228 |
Apr 06, 2021 | $10.51 | $10.76 | $10.51 | $10.65 | 616 818 |
Apr 05, 2021 | $11.43 | $11.45 | $10.49 | $10.57 | 1 224 062 |
Apr 01, 2021 | $11.31 | $11.37 | $10.69 | $10.89 | 1 644 312 |
Mar 31, 2021 | $10.55 | $11.37 | $10.20 | $10.95 | 2 850 446 |
Mar 30, 2021 | $10.40 | $10.57 | $10.37 | $10.45 | 1 111 790 |
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 SNPR stock historical prices to predict future price movements?
Trend Analysis: Examine the SNPR 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 SNPR 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.