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 |
Feb 16, 2022 | $3.71 | $3.79 | $3.65 | $3.73 | 3 785 785 |
Feb 15, 2022 | $3.62 | $3.74 | $3.62 | $3.73 | 4 911 706 |
Feb 14, 2022 | $3.50 | $3.72 | $3.50 | $3.57 | 4 871 306 |
Feb 11, 2022 | $3.66 | $3.80 | $3.52 | $3.54 | 4 888 611 |
Feb 10, 2022 | $3.54 | $3.88 | $3.54 | $3.64 | 5 944 162 |
Feb 09, 2022 | $3.53 | $3.65 | $3.50 | $3.65 | 3 338 945 |
Feb 08, 2022 | $3.39 | $3.51 | $3.37 | $3.51 | 2 983 146 |
Feb 07, 2022 | $3.46 | $3.53 | $3.39 | $3.43 | 3 514 044 |
Feb 04, 2022 | $3.35 | $3.46 | $3.24 | $3.44 | 5 596 806 |
Feb 03, 2022 | $3.42 | $3.54 | $3.34 | $3.34 | 5 463 061 |
Feb 02, 2022 | $3.78 | $3.80 | $3.55 | $3.58 | 6 008 836 |
Feb 01, 2022 | $3.69 | $3.88 | $3.62 | $3.80 | 7 506 672 |
Jan 31, 2022 | $3.37 | $3.67 | $3.36 | $3.63 | 9 061 630 |
Jan 28, 2022 | $3.20 | $3.42 | $3.16 | $3.42 | 7 807 866 |
Jan 27, 2022 | $3.48 | $3.50 | $3.21 | $3.25 | 7 025 111 |
Jan 26, 2022 | $3.64 | $3.69 | $3.43 | $3.43 | 8 189 138 |
Jan 25, 2022 | $3.26 | $3.53 | $3.25 | $3.46 | 7 168 195 |
Jan 24, 2022 | $3.23 | $3.38 | $3.03 | $3.38 | 12 676 251 |
Jan 21, 2022 | $3.56 | $3.62 | $3.40 | $3.45 | 8 839 760 |
Jan 20, 2022 | $3.75 | $3.98 | $3.59 | $3.61 | 11 508 604 |
Jan 19, 2022 | $3.59 | $3.67 | $3.55 | $3.56 | 6 263 784 |
Jan 18, 2022 | $3.65 | $3.74 | $3.55 | $3.55 | 4 366 952 |
Jan 14, 2022 | $3.78 | $3.88 | $3.66 | $3.76 | 4 481 525 |
Jan 13, 2022 | $3.94 | $3.94 | $3.94 | $3.94 | 0 |
Jan 12, 2022 | $3.94 | $3.94 | $3.94 | $3.94 | 0 |
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.