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 |
Oct 29, 2023 | $0.539 | $0.576 | $0.530 | $0.565 | 15 747 519 |
Oct 28, 2023 | $0.529 | $0.546 | $0.528 | $0.540 | 4 808 345 |
Oct 27, 2023 | $0.534 | $0.546 | $0.518 | $0.528 | 7 642 488 |
Oct 26, 2023 | $0.551 | $0.560 | $0.517 | $0.533 | 11 949 233 |
Oct 25, 2023 | $0.567 | $0.582 | $0.536 | $0.552 | 23 099 173 |
Oct 24, 2023 | $0.578 | $0.642 | $0.542 | $0.567 | 36 406 633 |
Oct 23, 2023 | $0.559 | $0.588 | $0.545 | $0.576 | 13 781 267 |
Oct 22, 2023 | $0.546 | $0.565 | $0.543 | $0.559 | 13 370 761 |
Oct 21, 2023 | $0.555 | $0.559 | $0.543 | $0.546 | 15 336 334 |
Oct 20, 2023 | $0.587 | $0.623 | $0.543 | $0.556 | 28 709 482 |
Oct 19, 2023 | $0.563 | $0.606 | $0.534 | $0.588 | 29 733 860 |
Oct 18, 2023 | $0.568 | $0.660 | $0.546 | $0.559 | 63 582 593 |
Oct 17, 2023 | $0.571 | $0.625 | $0.563 | $0.568 | 39 892 762 |
Oct 16, 2023 | $0.556 | $0.592 | $0.544 | $0.571 | 30 998 347 |
Oct 15, 2023 | $0.497 | $0.604 | $0.497 | $0.556 | 62 266 558 |
Oct 14, 2023 | $0.507 | $0.519 | $0.494 | $0.497 | 19 116 759 |
Oct 13, 2023 | $0.506 | $0.519 | $0.482 | $0.504 | 27 023 611 |
Oct 12, 2023 | $0.538 | $0.562 | $0.501 | $0.507 | 34 989 589 |
Oct 11, 2023 | $0.501 | $0.591 | $0.485 | $0.539 | 85 303 525 |
Oct 10, 2023 | $0.532 | $0.555 | $0.491 | $0.501 | 40 230 322 |
Oct 09, 2023 | $0.600 | $0.700 | $0.483 | $0.534 | 187 973 554 |
Oct 08, 2023 | $0.393 | $0.630 | $0.393 | $0.596 | 194 693 366 |
Oct 07, 2023 | $0.398 | $0.401 | $0.392 | $0.395 | 2 311 923 |
Oct 06, 2023 | $0.393 | $0.400 | $0.388 | $0.397 | 2 012 265 |
Oct 05, 2023 | $0.395 | $0.398 | $0.389 | $0.390 | 1 973 172 |
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.