NASDAQ:BFLY
Butterfly Network, Inc. Stock Price (Quote)
$1.03
+0.0200 (+1.98%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.674 | $1.07 | Friday, 17th May 2024 BFLY stock ended at $1.03. This is 1.98% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 9.36% from a day low at $0.95 to a day high of $1.04. |
90 days | $0.674 | $1.64 | |
52 weeks | $0.674 | $2.71 |
Date | Open | High | Low | Close | Volume |
Nov 16, 2023 | $1.21 | $1.21 | $1.08 | $1.11 | 1 217 541 |
Nov 15, 2023 | $1.20 | $1.32 | $1.20 | $1.21 | 1 705 222 |
Nov 14, 2023 | $1.14 | $1.27 | $1.10 | $1.22 | 2 442 809 |
Nov 13, 2023 | $1.00 | $1.14 | $1.00 | $1.11 | 880 553 |
Nov 10, 2023 | $1.13 | $1.15 | $0.97 | $1.07 | 2 651 038 |
Nov 09, 2023 | $0.89 | $1.10 | $0.88 | $1.08 | 2 611 700 |
Nov 08, 2023 | $1.03 | $1.04 | $0.83 | $0.86 | 3 662 634 |
Nov 07, 2023 | $1.04 | $1.11 | $1.01 | $1.05 | 774 536 |
Nov 06, 2023 | $1.14 | $1.19 | $1.02 | $1.05 | 1 844 270 |
Nov 03, 2023 | $1.00 | $1.19 | $0.99 | $1.12 | 2 596 064 |
Nov 02, 2023 | $0.83 | $0.99 | $0.80 | $0.97 | 2 193 601 |
Nov 01, 2023 | $0.87 | $0.87 | $0.782 | $0.81 | 1 420 877 |
Oct 31, 2023 | $0.81 | $0.86 | $0.780 | $0.85 | 723 282 |
Oct 30, 2023 | $0.788 | $0.83 | $0.761 | $0.81 | 1 138 553 |
Oct 27, 2023 | $0.82 | $0.84 | $0.780 | $0.786 | 1 188 845 |
Oct 26, 2023 | $0.91 | $0.92 | $0.81 | $0.83 | 1 002 674 |
Oct 25, 2023 | $0.92 | $0.97 | $0.87 | $0.90 | 1 254 619 |
Oct 24, 2023 | $0.84 | $0.97 | $0.83 | $0.95 | 2 163 048 |
Oct 23, 2023 | $0.82 | $0.85 | $0.80 | $0.82 | 1 520 493 |
Oct 20, 2023 | $0.80 | $0.84 | $0.799 | $0.84 | 1 351 211 |
Oct 19, 2023 | $0.81 | $0.84 | $0.772 | $0.799 | 1 285 605 |
Oct 18, 2023 | $0.87 | $0.88 | $0.81 | $0.81 | 1 088 809 |
Oct 17, 2023 | $0.81 | $0.94 | $0.80 | $0.89 | 6 673 690 |
Oct 16, 2023 | $0.89 | $0.91 | $0.80 | $0.82 | 3 120 590 |
Oct 13, 2023 | $0.89 | $0.95 | $0.86 | $0.94 | 4 483 363 |
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 BFLY stock historical prices to predict future price movements?
Trend Analysis: Examine the BFLY 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 BFLY 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.