NYSE:BFT
Delisted
Foley Trasimene Acquisition Corp. II Stock Price (Quote)
$2.89
+0 (+0%)
At Close: Aug 17, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.89 | $2.89 | Wednesday, 17th Aug 2022 BFT stock ended at $2.89. During the day the stock fluctuated 0% from a day low at $2.89 to a day high of $2.89. |
90 days | $2.89 | $2.89 | |
52 weeks | $2.59 | $9.36 |
Date | Open | High | Low | Close | Volume |
Sep 24, 2021 | $8.14 | $8.18 | $8.05 | $8.08 | 3 222 332 |
Sep 23, 2021 | $8.07 | $8.34 | $8.03 | $8.26 | 5 981 403 |
Sep 22, 2021 | $7.92 | $8.10 | $7.87 | $8.02 | 6 510 232 |
Sep 21, 2021 | $8.02 | $8.07 | $7.77 | $7.84 | 7 258 008 |
Sep 20, 2021 | $8.00 | $8.17 | $7.86 | $8.00 | 8 127 470 |
Sep 17, 2021 | $8.30 | $8.34 | $8.14 | $8.18 | 11 725 653 |
Sep 16, 2021 | $8.27 | $8.38 | $8.21 | $8.25 | 4 146 447 |
Sep 15, 2021 | $8.22 | $8.36 | $8.15 | $8.32 | 5 148 212 |
Sep 14, 2021 | $8.49 | $8.50 | $8.14 | $8.23 | 7 049 695 |
Sep 13, 2021 | $8.65 | $8.74 | $8.36 | $8.46 | 6 622 448 |
Sep 10, 2021 | $8.92 | $8.95 | $8.53 | $8.54 | 6 083 711 |
Sep 09, 2021 | $8.84 | $9.07 | $8.81 | $8.86 | 2 806 114 |
Sep 08, 2021 | $8.89 | $9.04 | $8.77 | $8.94 | 4 595 970 |
Sep 07, 2021 | $9.29 | $9.36 | $8.86 | $8.87 | 6 812 896 |
Sep 03, 2021 | $8.95 | $9.26 | $8.95 | $9.24 | 5 405 742 |
Sep 02, 2021 | $8.77 | $9.01 | $8.71 | $8.94 | 6 546 239 |
Sep 01, 2021 | $8.43 | $9.05 | $8.41 | $8.77 | 9 435 443 |
Aug 31, 2021 | $8.37 | $8.51 | $8.29 | $8.46 | 6 918 302 |
Aug 30, 2021 | $8.51 | $8.52 | $8.27 | $8.33 | 5 410 862 |
Aug 27, 2021 | $8.33 | $8.54 | $8.32 | $8.47 | 6 193 079 |
Aug 26, 2021 | $8.42 | $8.54 | $8.24 | $8.27 | 7 037 769 |
Aug 25, 2021 | $8.74 | $8.75 | $8.45 | $8.50 | 7 462 413 |
Aug 24, 2021 | $8.82 | $9.03 | $8.71 | $8.72 | 8 346 266 |
Aug 23, 2021 | $8.42 | $8.75 | $8.34 | $8.64 | 9 170 864 |
Aug 20, 2021 | $8.08 | $8.35 | $8.06 | $8.24 | 4 027 859 |
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 BFT stock historical prices to predict future price movements?
Trend Analysis: Examine the BFT 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 BFT 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.