$579.36
-11.62 (-1.97%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $556.45 | $745.03 | Tuesday, 23rd Jun 2026 BNBUSD stock ended at $579.36. This is 1.97% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 3.85% from a day low at $570.38 to a day high of $592.36. |
| 90 days | $556.45 | $745.03 | |
| 52 weeks | $556.45 | $1,370.03 |
Historical Binance Coin prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $589.20 | $592.36 | $570.38 | $579.36 | 975 267 968 |
| Jun 22, 2026 | $585.86 | $601.17 | $583.66 | $590.98 | 1 001 641 728 |
| Jun 21, 2026 | $583.75 | $588.88 | $583.75 | $587.65 | 764 923 392 |
| Jun 20, 2026 | $587.60 | $587.85 | $586.65 | $586.97 | 815 151 360 |
| Jun 19, 2026 | $581.17 | $582.31 | $580.39 | $580.59 | 895 806 848 |
| Jun 18, 2026 | $577.98 | $579.31 | $577.38 | $578.77 | 1 117 749 504 |
| Jun 17, 2026 | $604.33 | $611.66 | $594.44 | $601.56 | 1 289 743 360 |
| Jun 16, 2026 | $617.47 | $619.28 | $601.44 | $604.47 | 1 356 669 696 |
| Jun 15, 2026 | $616.28 | $632.72 | $612.16 | $615.55 | 1 038 393 605 |
| Jun 14, 2026 | $616.28 | $617.53 | $614.24 | $615.01 | 749 649 743 |
| Jun 13, 2026 | $609.10 | $609.78 | $608.41 | $609.00 | 477 295 365 |
| Jun 12, 2026 | $603.52 | $604.98 | $603.08 | $604.75 | 678 296 913 |
| Jun 11, 2026 | $605.36 | $605.57 | $603.32 | $603.79 | 729 670 949 |
| Jun 10, 2026 | $586.31 | $589.74 | $586.30 | $588.88 | 663 107 797 |
| Jun 09, 2026 | $593.49 | $594.86 | $590.01 | $593.32 | 771 028 062 |
| Jun 08, 2026 | $604.44 | $610.56 | $591.54 | $596.00 | 778 546 275 |
| Jun 07, 2026 | $574.56 | $610.20 | $573.49 | $605.84 | 1 045 031 011 |
| Jun 06, 2026 | $572.05 | $584.40 | $559.78 | $574.20 | 1 069 439 787 |
| Jun 05, 2026 | $603.65 | $607.38 | $556.45 | $576.57 | 2 269 865 699 |
| Jun 04, 2026 | $619.81 | $623.68 | $587.44 | $602.77 | 1 906 452 657 |
| Jun 03, 2026 | $650.13 | $656.55 | $612.21 | $614.98 | 301 245 |
| Jun 02, 2026 | $692.49 | $694.91 | $641.90 | $653.43 | 1 771 900 009 |
| Jun 01, 2026 | $692.49 | $693.39 | $689.49 | $689.78 | 2 935 786 679 |
| May 31, 2026 | $718.30 | $745.03 | $702.65 | $710.01 | 3 011 261 654 |
| May 30, 2026 | $642.67 | $728.08 | $642.08 | $718.24 | 3 590 363 740 |
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 BNBUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the BNBUSD 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 BNBUSD 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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