NASDAQ:RTPY
Delisted
Reinvent Technology Partners Y Stock Price (Quote)
$5.50
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.50 | $5.50 | Wednesday, 17th Aug 2022 RTPY stock ended at $5.50. During the day the stock fluctuated 0% from a day low at $5.50 to a day high of $5.50. |
90 days | $5.50 | $5.50 | |
52 weeks | $3.94 | $17.77 |
Date | Open | High | Low | Close | Volume |
Aug 19, 2021 | $9.84 | $9.86 | $9.83 | $9.85 | 210 998 |
Aug 18, 2021 | $9.81 | $9.86 | $9.81 | $9.85 | 213 213 |
Aug 17, 2021 | $9.83 | $9.85 | $9.83 | $9.84 | 301 832 |
Aug 16, 2021 | $9.85 | $9.85 | $9.82 | $9.83 | 299 653 |
Aug 13, 2021 | $9.85 | $9.85 | $9.82 | $9.84 | 1 169 465 |
Aug 12, 2021 | $9.83 | $9.85 | $9.82 | $9.84 | 197 128 |
Aug 11, 2021 | $9.86 | $9.86 | $9.82 | $9.84 | 275 037 |
Aug 10, 2021 | $9.86 | $9.86 | $9.83 | $9.83 | 205 473 |
Aug 09, 2021 | $9.84 | $9.90 | $9.82 | $9.84 | 520 823 |
Aug 06, 2021 | $9.88 | $9.90 | $9.82 | $9.83 | 187 516 |
Aug 05, 2021 | $9.83 | $9.88 | $9.83 | $9.84 | 272 486 |
Aug 04, 2021 | $9.83 | $9.87 | $9.83 | $9.84 | 164 696 |
Aug 03, 2021 | $9.85 | $9.87 | $9.83 | $9.83 | 255 771 |
Aug 02, 2021 | $9.94 | $9.94 | $9.84 | $9.84 | 379 227 |
Jul 30, 2021 | $9.86 | $9.91 | $9.86 | $9.91 | 398 508 |
Jul 29, 2021 | $9.95 | $9.95 | $9.88 | $9.88 | 208 610 |
Jul 28, 2021 | $9.93 | $9.94 | $9.88 | $9.91 | 222 160 |
Jul 27, 2021 | $9.92 | $9.95 | $9.88 | $9.90 | 361 393 |
Jul 26, 2021 | $9.95 | $9.98 | $9.91 | $9.93 | 646 941 |
Jul 23, 2021 | $9.96 | $9.97 | $9.90 | $9.96 | 1 676 106 |
Jul 22, 2021 | $9.97 | $9.98 | $9.90 | $9.94 | 1 134 000 |
Jul 21, 2021 | $9.98 | $10.00 | $9.93 | $9.93 | 1 569 689 |
Jul 20, 2021 | $9.97 | $9.98 | $9.94 | $9.96 | 871 338 |
Jul 19, 2021 | $9.98 | $9.98 | $9.87 | $9.97 | 4 997 688 |
Jul 16, 2021 | $10.05 | $10.05 | $9.93 | $9.98 | 5 239 779 |
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 RTPY stock historical prices to predict future price movements?
Trend Analysis: Examine the RTPY 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 RTPY 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.