$568.67
-8.70 (-1.51%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $538.70 | $632.72 | Monday, 13th Jul 2026 BNBUSD stock ended at $568.67. This is 1.51% less than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 2.95% from a day low at $562.33 to a day high of $578.92. |
| 90 days | $538.70 | $745.03 | |
| 52 weeks | $538.70 | $1,370.03 |
Historical Binance Coin prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $573.85 | $578.92 | $562.33 | $568.67 | 508 682 106 |
| Jul 12, 2026 | $574.83 | $582.73 | $570.32 | $577.37 | 978 954 560 |
| Jul 11, 2026 | $574.83 | $574.83 | $570.71 | $570.79 | 884 188 928 |
| Jul 10, 2026 | $575.01 | $575.16 | $574.30 | $574.55 | 1 055 024 512 |
| Jul 09, 2026 | $568.46 | $570.56 | $568.24 | $570.55 | 1 040 035 840 |
| Jul 08, 2026 | $576.81 | $578.10 | $560.37 | $568.23 | 1 107 209 984 |
| Jul 07, 2026 | $576.81 | $578.60 | $575.80 | $578.34 | 1 099 149 696 |
| Jul 06, 2026 | $588.96 | $592.10 | $570.24 | $586.24 | 1 458 444 416 |
| Jul 05, 2026 | $588.96 | $591.59 | $587.50 | $591.46 | 1 333 723 776 |
| Jul 04, 2026 | $574.95 | $574.95 | $572.33 | $572.57 | 1 107 462 016 |
| Jul 03, 2026 | $573.44 | $574.68 | $573.18 | $573.73 | 1 082 079 488 |
| Jul 02, 2026 | $558.01 | $558.28 | $556.95 | $557.28 | 1 325 626 368 |
| Jul 01, 2026 | $545.68 | $557.26 | $538.70 | $547.53 | 1 373 065 088 |
| Jun 30, 2026 | $558.64 | $559.29 | $543.39 | $547.49 | 1 119 180 416 |
| Jun 29, 2026 | $550.66 | $561.19 | $546.66 | $555.13 | 1 139 147 392 |
| Jun 28, 2026 | $550.66 | $552.41 | $545.95 | $552.08 | 905 548 416 |
| Jun 27, 2026 | $556.40 | $557.93 | $556.30 | $557.25 | 910 782 656 |
| Jun 26, 2026 | $566.87 | $567.72 | $565.11 | $567.22 | 1 498 295 680 |
| Jun 25, 2026 | $559.73 | $564.03 | $559.24 | $560.14 | 1 382 968 320 |
| Jun 24, 2026 | $577.61 | $581.55 | $546.30 | $562.79 | 1 328 452 992 |
| 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 |
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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