$0.0458
-0.0014 (-3.02%)
At Close: Nov 17, 2025
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0421 | $0.0802 | Monday, 17th Nov 2025 BOSONUSD stock ended at $0.0458. This is 3.02% less than the trading day before Sunday, 16th Nov 2025. During the day the stock fluctuated 2.19% from a day low at $0.0457 to a day high of $0.0467. |
| 90 days | $0.0421 | $0.112 | |
| 52 weeks | $0.0421 | $0.565 |
Historical Boson Protocol USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Nov 17, 2025 | $0.0464 | $0.0467 | $0.0457 | $0.0458 | 2 420 941 |
| Nov 16, 2025 | $0.0481 | $0.0481 | $0.0467 | $0.0472 | 1 611 060 |
| Nov 15, 2025 | $0.0496 | $0.0497 | $0.0492 | $0.0495 | 1 182 488 |
| Nov 14, 2025 | $0.0468 | $0.0471 | $0.0467 | $0.0469 | 2 737 657 |
| Nov 13, 2025 | $0.0522 | $0.0543 | $0.0485 | $0.0487 | 2 545 066 |
| Nov 12, 2025 | $0.0529 | $0.0541 | $0.0506 | $0.0521 | 1 220 489 |
| Nov 11, 2025 | $0.0548 | $0.0574 | $0.0521 | $0.0525 | 1 363 770 |
| Nov 10, 2025 | $0.0594 | $0.0625 | $0.0545 | $0.0548 | 1 332 221 |
| Nov 09, 2025 | $0.0583 | $0.0612 | $0.0574 | $0.0612 | 1 053 946 |
| Nov 08, 2025 | $0.0645 | $0.0652 | $0.0575 | $0.0586 | 996 108 |
| Nov 07, 2025 | $0.0598 | $0.0802 | $0.0584 | $0.0640 | 2 428 136 |
| Nov 06, 2025 | $0.0598 | $0.0601 | $0.0593 | $0.0593 | 2 231 037 |
| Nov 05, 2025 | $0.0425 | $0.0515 | $0.0421 | $0.0450 | 1 836 264 |
| Nov 04, 2025 | $0.0495 | $0.0498 | $0.0423 | $0.0429 | 2 505 967 |
| Nov 03, 2025 | $0.0495 | $0.0498 | $0.0494 | $0.0494 | 2 159 050 |
| Nov 02, 2025 | $0.0549 | $0.0550 | $0.0546 | $0.0549 | 1 026 276 |
| Nov 01, 2025 | $0.0582 | $0.0584 | $0.0578 | $0.0583 | 776 635 |
| Oct 31, 2025 | $0.0584 | $0.0598 | $0.0578 | $0.0590 | 1 513 509 |
| Oct 30, 2025 | $0.0584 | $0.0584 | $0.0577 | $0.0579 | 1 904 798 |
| Oct 29, 2025 | $0.0669 | $0.0676 | $0.0627 | $0.0627 | 3 033 581 |
| Oct 28, 2025 | $0.0666 | $0.0675 | $0.0666 | $0.0671 | 23 222 313 |
| Oct 27, 2025 | $0.0634 | $0.0666 | $0.0633 | $0.0652 | 1 710 271 |
| Oct 26, 2025 | $0.0613 | $0.0637 | $0.0601 | $0.0634 | 1 152 985 |
| Oct 25, 2025 | $0.0613 | $0.0619 | $0.0602 | $0.0613 | 702 900 |
| Oct 24, 2025 | $0.0627 | $0.0641 | $0.0606 | $0.0616 | 1 271 160 |
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 BOSONUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the BOSONUSD 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 BOSONUSD 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.
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