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 |
Jan 14, 2021 | $11.95 | $12.77 | $11.80 | $12.21 | 1 630 081 |
Jan 13, 2021 | $11.60 | $11.89 | $11.50 | $11.69 | 565 969 |
Jan 12, 2021 | $11.22 | $11.75 | $11.20 | $11.63 | 843 520 |
Jan 11, 2021 | $11.15 | $11.29 | $11.00 | $11.29 | 725 769 |
Jan 08, 2021 | $10.99 | $11.54 | $10.91 | $11.38 | 1 115 402 |
Jan 07, 2021 | $10.94 | $11.00 | $10.81 | $10.90 | 1 106 404 |
Jan 06, 2021 | $11.04 | $11.07 | $10.86 | $10.90 | 421 993 |
Jan 05, 2021 | $10.75 | $11.09 | $10.75 | $11.08 | 489 587 |
Jan 04, 2021 | $10.73 | $11.00 | $10.60 | $11.00 | 812 550 |
Dec 31, 2020 | $10.80 | $10.92 | $10.60 | $10.65 | 983 199 |
Dec 30, 2020 | $10.87 | $10.92 | $10.75 | $10.83 | 807 328 |
Dec 29, 2020 | $11.12 | $11.23 | $10.59 | $10.86 | 977 284 |
Dec 28, 2020 | $11.50 | $11.85 | $11.11 | $11.17 | 1 041 208 |
Dec 24, 2020 | $11.17 | $11.48 | $11.11 | $11.36 | 567 051 |
Dec 23, 2020 | $11.05 | $11.17 | $10.89 | $11.17 | 763 866 |
Dec 22, 2020 | $10.85 | $11.25 | $10.80 | $10.89 | 609 182 |
Dec 21, 2020 | $10.81 | $10.83 | $10.64 | $10.79 | 453 454 |
Dec 18, 2020 | $10.83 | $10.87 | $10.70 | $10.82 | 299 731 |
Dec 17, 2020 | $10.74 | $10.90 | $10.69 | $10.85 | 230 146 |
Dec 16, 2020 | $10.80 | $10.85 | $10.55 | $10.85 | 495 321 |
Dec 15, 2020 | $11.00 | $11.00 | $10.86 | $10.90 | 600 685 |
Dec 14, 2020 | $11.18 | $11.19 | $10.92 | $11.00 | 1 166 667 |
Dec 11, 2020 | $10.95 | $11.20 | $10.78 | $11.00 | 1 051 916 |
Dec 10, 2020 | $10.93 | $11.05 | $10.75 | $10.81 | 740 077 |
Dec 09, 2020 | $11.39 | $11.39 | $10.75 | $10.90 | 1 065 560 |
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.