$653.43
-36.35 (-5.27%)
At Close: Jun 02, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $615.35 | $745.03 | Tuesday, 2nd Jun 2026 BNBUSD stock ended at $653.43. This is 5.27% less than the trading day before Monday, 1st Jun 2026. During the day the stock fluctuated 8.26% from a day low at $641.90 to a day high of $694.91. |
| 90 days | $581.72 | $745.03 | |
| 52 weeks | $570.93 | $1,370.03 |
Historical Binance Coin prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| 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 |
| May 29, 2026 | $637.83 | $644.35 | $630.13 | $642.66 | 1 229 212 667 |
| May 28, 2026 | $648.01 | $648.72 | $627.57 | $637.56 | 1 387 114 881 |
| May 27, 2026 | $655.91 | $659.16 | $645.90 | $648.14 | 1 299 270 396 |
| May 26, 2026 | $662.88 | $667.67 | $652.89 | $655.79 | 1 618 469 382 |
| May 25, 2026 | $656.22 | $672.76 | $655.33 | $662.78 | 1 309 145 054 |
| May 24, 2026 | $655.98 | $661.90 | $649.19 | $656.15 | 1 104 832 926 |
| May 23, 2026 | $650.08 | $663.58 | $635.20 | $655.75 | 1 294 474 331 |
| May 22, 2026 | $658.55 | $663.57 | $648.03 | $649.91 | 1 327 486 028 |
| May 21, 2026 | $649.18 | $659.14 | $645.84 | $657.41 | 1 244 022 144 |
| May 20, 2026 | $639.52 | $651.33 | $637.18 | $649.24 | 1 146 920 192 |
| May 19, 2026 | $643.25 | $646.81 | $635.70 | $639.63 | 1 158 229 632 |
| May 18, 2026 | $649.15 | $649.29 | $634.05 | $643.19 | 1 418 244 426 |
| May 17, 2026 | $655.90 | $657.30 | $639.43 | $649.09 | 1 190 810 880 |
| May 16, 2026 | $672.10 | $674.12 | $650.85 | $651.70 | 1 398 092 416 |
| May 15, 2026 | $677.95 | $689.12 | $670.69 | $671.88 | 1 707 105 152 |
| May 14, 2026 | $671.40 | $686.00 | $665.61 | $683.44 | 1 673 673 472 |
| May 13, 2026 | $664.55 | $684.91 | $664.55 | $674.40 | 2 024 374 784 |
| May 12, 2026 | $669.97 | $670.53 | $651.11 | $667.30 | 1 622 761 344 |
| May 11, 2026 | $669.97 | $670.53 | $667.88 | $668.52 | 1 790 145 024 |
| May 10, 2026 | $649.74 | $666.40 | $645.11 | $657.41 | 1 413 120 768 |
| May 09, 2026 | $649.03 | $655.57 | $646.38 | $646.73 | 1 276 973 312 |
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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