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 |
Oct 29, 2021 | $7.49 | $7.87 | $7.49 | $7.80 | 6 757 301 |
Oct 28, 2021 | $7.37 | $7.62 | $7.36 | $7.53 | 4 353 672 |
Oct 27, 2021 | $7.59 | $7.73 | $7.36 | $7.36 | 5 588 685 |
Oct 26, 2021 | $7.59 | $7.81 | $7.55 | $7.55 | 6 369 679 |
Oct 25, 2021 | $7.75 | $7.86 | $7.52 | $7.54 | 11 484 949 |
Oct 22, 2021 | $8.18 | $8.25 | $7.98 | $8.10 | 5 558 745 |
Oct 21, 2021 | $8.07 | $8.46 | $8.07 | $8.27 | 6 771 425 |
Oct 20, 2021 | $8.17 | $8.35 | $8.02 | $8.03 | 5 232 592 |
Oct 19, 2021 | $7.79 | $8.25 | $7.77 | $8.10 | 6 955 339 |
Oct 18, 2021 | $7.71 | $7.97 | $7.61 | $7.71 | 4 970 885 |
Oct 15, 2021 | $8.00 | $8.07 | $7.80 | $7.80 | 5 658 828 |
Oct 14, 2021 | $7.50 | $7.99 | $7.46 | $7.90 | 16 545 261 |
Oct 13, 2021 | $7.05 | $7.37 | $6.98 | $7.37 | 9 579 326 |
Oct 12, 2021 | $6.93 | $7.14 | $6.93 | $7.03 | 4 809 362 |
Oct 11, 2021 | $7.01 | $7.25 | $6.90 | $6.91 | 5 050 107 |
Oct 08, 2021 | $7.28 | $7.33 | $7.04 | $7.04 | 5 240 652 |
Oct 07, 2021 | $7.25 | $7.50 | $7.20 | $7.27 | 6 959 942 |
Oct 06, 2021 | $7.14 | $7.22 | $7.05 | $7.19 | 7 169 129 |
Oct 05, 2021 | $7.27 | $7.34 | $7.13 | $7.22 | 5 402 881 |
Oct 04, 2021 | $7.61 | $7.63 | $7.16 | $7.20 | 8 133 656 |
Oct 01, 2021 | $7.76 | $7.79 | $7.48 | $7.68 | 6 380 358 |
Sep 30, 2021 | $7.68 | $7.79 | $7.59 | $7.75 | 5 469 233 |
Sep 29, 2021 | $7.77 | $7.81 | $7.56 | $7.56 | 5 630 777 |
Sep 28, 2021 | $7.88 | $7.98 | $7.75 | $7.77 | 5 478 250 |
Sep 27, 2021 | $8.05 | $8.08 | $7.90 | $7.95 | 5 062 947 |
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.