$0.0198
-0.0004 (-1.92%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0190 | $0.0248 | Monday, 13th Jul 2026 BOBAUSD stock ended at $0.0198. This is 1.92% less than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 5.31% from a day low at $0.0191 to a day high of $0.0201. |
| 90 days | $0.0190 | $0.0348 | |
| 52 weeks | $0.0183 | $0.114 |
Historical Boba Network USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $0.0197 | $0.0201 | $0.0191 | $0.0198 | 261 619 |
| Jul 12, 2026 | $0.0200 | $0.0204 | $0.0197 | $0.0202 | 2 962 304 |
| Jul 11, 2026 | $0.0200 | $0.0203 | $0.0199 | $0.0200 | 2 547 423 |
| Jul 10, 2026 | $0.0200 | $0.0208 | $0.0200 | $0.0208 | 3 083 362 |
| Jul 09, 2026 | $0.0196 | $0.0202 | $0.0195 | $0.0201 | 3 034 736 |
| Jul 08, 2026 | $0.0198 | $0.0201 | $0.0190 | $0.0198 | 3 155 358 |
| Jul 07, 2026 | $0.0198 | $0.0201 | $0.0198 | $0.0200 | 3 072 480 |
| Jul 06, 2026 | $0.0210 | $0.0212 | $0.0202 | $0.0211 | 3 843 604 |
| Jul 05, 2026 | $0.0210 | $0.0212 | $0.0209 | $0.0212 | 2 717 586 |
| Jul 04, 2026 | $0.0205 | $0.0206 | $0.0203 | $0.0206 | 2 217 179 |
| Jul 03, 2026 | $0.0206 | $0.0210 | $0.0204 | $0.0210 | 2 522 808 |
| Jul 02, 2026 | $0.0200 | $0.0206 | $0.0200 | $0.0206 | 3 238 679 |
| Jul 01, 2026 | $0.0200 | $0.0206 | $0.0191 | $0.0202 | 3 367 778 |
| Jun 30, 2026 | $0.0200 | $0.0212 | $0.0193 | $0.0197 | 2 982 723 |
| Jun 29, 2026 | $0.0197 | $0.0212 | $0.0191 | $0.0203 | 5 229 688 |
| Jun 28, 2026 | $0.0197 | $0.0201 | $0.0196 | $0.0200 | 2 717 457 |
| Jun 27, 2026 | $0.0202 | $0.0203 | $0.0197 | $0.0199 | 1 834 262 |
| Jun 26, 2026 | $0.0208 | $0.0213 | $0.0206 | $0.0210 | 3 634 417 |
| Jun 25, 2026 | $0.0194 | $0.0201 | $0.0194 | $0.0201 | 4 314 147 |
| Jun 24, 2026 | $0.0205 | $0.0205 | $0.0201 | $0.0205 | 4 399 793 |
| Jun 23, 2026 | $0.0225 | $0.0228 | $0.0214 | $0.0222 | 3 195 857 |
| Jun 22, 2026 | $0.0224 | $0.0229 | $0.0219 | $0.0222 | 4 984 526 |
| Jun 21, 2026 | $0.0224 | $0.0231 | $0.0224 | $0.0227 | 4 445 319 |
| Jun 20, 2026 | $0.0237 | $0.0248 | $0.0235 | $0.0248 | 8 971 742 |
| Jun 19, 2026 | $0.0219 | $0.0222 | $0.0218 | $0.0219 | 2 660 010 |
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 BOBAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the BOBAUSD 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 BOBAUSD 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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