NYSE:SPRQ
Delisted
Spartan Acquisition Corp. II Stock Price (Quote)
$4.28
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.28 | $4.28 | Wednesday, 17th Aug 2022 SPRQ stock ended at $4.28. During the day the stock fluctuated 0% from a day low at $4.28 to a day high of $4.28. |
90 days | $4.28 | $4.28 | |
52 weeks | $2.41 | $6.67 |
Date | Open | High | Low | Close | Volume |
Oct 29, 2021 | $5.85 | $6.00 | $5.74 | $5.91 | 767 656 |
Oct 28, 2021 | $5.62 | $6.02 | $5.62 | $6.01 | 1 425 284 |
Oct 27, 2021 | $5.39 | $5.90 | $5.33 | $5.63 | 1 320 520 |
Oct 26, 2021 | $5.36 | $5.49 | $5.25 | $5.29 | 524 544 |
Oct 25, 2021 | $5.14 | $5.36 | $5.06 | $5.36 | 516 466 |
Oct 22, 2021 | $5.06 | $5.19 | $4.91 | $5.15 | 458 540 |
Oct 21, 2021 | $5.19 | $5.29 | $5.02 | $5.05 | 488 429 |
Oct 20, 2021 | $5.06 | $5.23 | $4.96 | $5.20 | 1 029 037 |
Oct 19, 2021 | $4.75 | $4.97 | $4.74 | $4.96 | 820 014 |
Oct 18, 2021 | $4.80 | $4.94 | $4.71 | $4.76 | 1 419 373 |
Oct 15, 2021 | $5.24 | $5.25 | $4.85 | $4.87 | 743 397 |
Oct 14, 2021 | $4.94 | $5.20 | $4.94 | $5.20 | 555 476 |
Oct 13, 2021 | $4.84 | $4.94 | $4.75 | $4.94 | 522 338 |
Oct 12, 2021 | $4.99 | $5.15 | $4.74 | $4.77 | 1 069 534 |
Oct 11, 2021 | $5.08 | $5.08 | $4.90 | $4.92 | 504 776 |
Oct 08, 2021 | $5.21 | $5.28 | $4.98 | $4.98 | 507 316 |
Oct 07, 2021 | $5.09 | $5.30 | $5.09 | $5.21 | 570 386 |
Oct 06, 2021 | $4.88 | $5.18 | $4.87 | $5.06 | 507 924 |
Oct 05, 2021 | $4.97 | $5.11 | $4.86 | $4.95 | 1 167 631 |
Oct 04, 2021 | $5.25 | $5.25 | $4.87 | $4.88 | 1 475 602 |
Oct 01, 2021 | $5.20 | $5.35 | $5.03 | $5.05 | 936 360 |
Sep 30, 2021 | $5.40 | $5.47 | $5.20 | $5.31 | 790 456 |
Sep 29, 2021 | $5.08 | $5.42 | $5.03 | $5.32 | 1 105 504 |
Sep 28, 2021 | $5.30 | $5.36 | $5.02 | $5.06 | 1 610 118 |
Sep 27, 2021 | $5.50 | $5.52 | $5.34 | $5.39 | 1 404 519 |
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 SPRQ stock historical prices to predict future price movements?
Trend Analysis: Examine the SPRQ 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 SPRQ 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.