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 |
Jul 15, 2021 | $9.92 | $9.94 | $9.88 | $9.90 | 1 228 541 |
Jul 14, 2021 | $10.03 | $10.04 | $9.87 | $9.90 | 1 337 969 |
Jul 13, 2021 | $10.05 | $10.05 | $9.96 | $10.02 | 464 256 |
Jul 12, 2021 | $10.09 | $10.10 | $10.02 | $10.05 | 338 427 |
Jul 09, 2021 | $10.02 | $10.05 | $10.00 | $10.02 | 370 065 |
Jul 08, 2021 | $9.99 | $10.10 | $9.96 | $10.05 | 477 776 |
Jul 07, 2021 | $10.15 | $10.15 | $10.02 | $10.03 | 653 511 |
Jul 06, 2021 | $10.08 | $10.14 | $10.03 | $10.07 | 529 450 |
Jul 02, 2021 | $10.09 | $10.11 | $10.03 | $10.05 | 331 192 |
Jul 01, 2021 | $10.06 | $10.12 | $10.04 | $10.09 | 390 007 |
Jun 30, 2021 | $10.07 | $10.12 | $10.03 | $10.03 | 789 388 |
Jun 29, 2021 | $10.10 | $10.13 | $10.02 | $10.02 | 553 236 |
Jun 28, 2021 | $10.16 | $10.16 | $10.03 | $10.07 | 589 074 |
Jun 25, 2021 | $10.00 | $10.13 | $9.98 | $10.07 | 1 328 863 |
Jun 24, 2021 | $10.00 | $10.00 | $9.97 | $9.98 | 567 572 |
Jun 23, 2021 | $9.98 | $10.00 | $9.97 | $10.00 | 459 042 |
Jun 22, 2021 | $10.01 | $10.02 | $9.95 | $10.00 | 416 427 |
Jun 21, 2021 | $10.00 | $10.02 | $9.98 | $10.01 | 337 447 |
Jun 18, 2021 | $10.05 | $10.10 | $10.01 | $10.02 | 456 700 |
Jun 17, 2021 | $10.20 | $10.21 | $10.00 | $10.07 | 759 398 |
Jun 16, 2021 | $10.10 | $10.17 | $10.10 | $10.16 | 622 551 |
Jun 15, 2021 | $10.23 | $10.24 | $10.00 | $10.11 | 733 455 |
Jun 14, 2021 | $10.20 | $10.28 | $10.17 | $10.20 | 582 045 |
Jun 11, 2021 | $10.18 | $10.24 | $10.12 | $10.17 | 416 614 |
Jun 10, 2021 | $10.16 | $10.25 | $10.11 | $10.15 | 474 912 |
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.