CRYPTO:BNTUSD
Bancor / US Dollar Cryptocurrency Price (Quote)
$0.661
+0 (+0%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.639 | $0.772 | Thursday, 16th May 2024 BNTUSD stock ended at $0.661. During the day the stock fluctuated 0% from a day low at $0.661 to a day high of $0.661. |
90 days | $0.639 | $1.06 | |
52 weeks | $0.328 | $2.00 |
Date | Open | High | Low | Close | Volume |
Dec 18, 2023 | $0.713 | $0.729 | $0.668 | $0.715 | 8 331 744 |
Dec 17, 2023 | $0.735 | $0.748 | $0.708 | $0.710 | 6 782 068 |
Dec 16, 2023 | $0.708 | $0.758 | $0.700 | $0.733 | 9 620 917 |
Dec 15, 2023 | $0.754 | $0.762 | $0.703 | $0.704 | 7 331 390 |
Dec 14, 2023 | $0.731 | $0.766 | $0.714 | $0.752 | 8 692 645 |
Dec 13, 2023 | $0.731 | $0.745 | $0.689 | $0.732 | 8 756 406 |
Dec 12, 2023 | $0.724 | $0.750 | $0.713 | $0.732 | 6 988 001 |
Dec 11, 2023 | $0.81 | $0.82 | $0.646 | $0.724 | 17 325 353 |
Dec 10, 2023 | $0.81 | $0.82 | $0.776 | $0.80 | 9 821 366 |
Dec 09, 2023 | $0.81 | $0.85 | $0.793 | $0.81 | 17 373 518 |
Dec 08, 2023 | $0.787 | $0.82 | $0.778 | $0.81 | 9 442 667 |
Dec 07, 2023 | $0.767 | $0.80 | $0.758 | $0.787 | 10 706 973 |
Dec 06, 2023 | $0.794 | $0.80 | $0.759 | $0.763 | 9 166 335 |
Dec 05, 2023 | $0.786 | $0.81 | $0.769 | $0.792 | 11 292 804 |
Dec 04, 2023 | $0.780 | $0.80 | $0.738 | $0.790 | 13 526 149 |
Dec 03, 2023 | $0.791 | $0.82 | $0.761 | $0.779 | 11 728 979 |
Dec 02, 2023 | $0.766 | $0.798 | $0.762 | $0.792 | 10 741 179 |
Dec 01, 2023 | $0.757 | $0.795 | $0.752 | $0.765 | 7 105 535 |
Nov 30, 2023 | $0.731 | $0.81 | $0.731 | $0.758 | 11 392 355 |
Nov 29, 2023 | $0.746 | $0.753 | $0.728 | $0.730 | 6 570 061 |
Nov 28, 2023 | $0.750 | $0.757 | $0.714 | $0.730 | 9 525 656 |
Nov 27, 2023 | $0.750 | $0.771 | $0.715 | $0.730 | 173 181 |
Nov 26, 2023 | $0.763 | $0.775 | $0.748 | $0.758 | 1 875 624 |
Nov 25, 2023 | $0.763 | $0.80 | $0.731 | $0.758 | 8 377 276 |
Nov 24, 2023 | $0.747 | $0.770 | $0.734 | $0.756 | 3 097 987 |
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 BNTUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the BNTUSD 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 BNTUSD 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.