$0.0281
+0.00005871 (+0.209%)
At Close: Jun 02, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0261 | $0.0366 | Tuesday, 2nd Jun 2026 AURORAUSD stock ended at $0.0281. This is 0.209% more than the trading day before Monday, 1st Jun 2026. During the day the stock fluctuated 2.16% from a day low at $0.0278 to a day high of $0.0284. |
| 90 days | $0.0257 | $0.0366 | |
| 52 weeks | $0.0237 | $0.123 |
Historical HyperAurora USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 02, 2026 | $0.0280 | $0.0284 | $0.0278 | $0.0281 | 559 292 |
| Jun 01, 2026 | $0.0290 | $0.0290 | $0.0279 | $0.0280 | 707 936 |
| May 31, 2026 | $0.0287 | $0.0292 | $0.0284 | $0.0289 | 427 522 |
| May 30, 2026 | $0.0280 | $0.0289 | $0.0277 | $0.0286 | 375 662 |
| May 29, 2026 | $0.0273 | $0.0294 | $0.0273 | $0.0278 | 645 865 |
| May 28, 2026 | $0.0283 | $0.0283 | $0.0270 | $0.0273 | 667 627 |
| May 27, 2026 | $0.0304 | $0.0304 | $0.0283 | $0.0283 | 603 168 |
| May 26, 2026 | $0.0293 | $0.0366 | $0.0290 | $0.0302 | 1 757 715 |
| May 25, 2026 | $0.0287 | $0.0320 | $0.0281 | $0.0293 | 732 116 |
| May 24, 2026 | $0.0286 | $0.0294 | $0.0282 | $0.0284 | 473 820 |
| May 23, 2026 | $0.0279 | $0.0299 | $0.0270 | $0.0287 | 663 865 |
| May 22, 2026 | $0.0276 | $0.0355 | $0.0273 | $0.0280 | 1 888 776 |
| May 21, 2026 | $0.0265 | $0.0282 | $0.0264 | $0.0277 | 1 888 776 |
| May 20, 2026 | $0.0263 | $0.0265 | $0.0261 | $0.0264 | 473 017 |
| May 19, 2026 | $0.0266 | $0.0267 | $0.0263 | $0.0263 | 416 195 |
| May 18, 2026 | $0.0265 | $0.0267 | $0.0262 | $0.0265 | 283 953 |
| May 17, 2026 | $0.0265 | $0.0268 | $0.0261 | $0.0266 | 345 363 |
| May 16, 2026 | $0.0275 | $0.0275 | $0.0264 | $0.0265 | 378 250 |
| May 15, 2026 | $0.0278 | $0.0279 | $0.0273 | $0.0274 | 374 922 |
| May 14, 2026 | $0.0279 | $0.0280 | $0.0277 | $0.0278 | 301 891 |
| May 13, 2026 | $0.0278 | $0.0283 | $0.0277 | $0.0279 | 573 451 |
| May 12, 2026 | $0.0279 | $0.0282 | $0.0276 | $0.0279 | 673 070 |
| May 11, 2026 | $0.0279 | $0.0279 | $0.0278 | $0.0278 | 495 817 |
| May 10, 2026 | $0.0287 | $0.0287 | $0.0281 | $0.0282 | 305 756 |
| May 09, 2026 | $0.0275 | $0.0288 | $0.0274 | $0.0284 | 590 393 |
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 AURORAUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the AURORAUSD 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 AURORAUSD 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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