CRYPTO:ALPINEUSD
Alpine F1 Team Fan Token Usd Stock Price (Quote)
Buy ALPINEUSD
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$0.298
-0.0092 (-3.01%)
At Close: Jul 13, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.294 | $0.368 | Monday, 13th Jul 2026 ALPINEUSD stock ended at $0.298. This is 3.01% less than the trading day before Sunday, 12th Jul 2026. During the day the stock fluctuated 4.99% from a day low at $0.294 to a day high of $0.309. |
| 90 days | $0.294 | $0.517 | |
| 52 weeks | $0.294 | $6.74 |
Historical Alpine F1 Team Fan Token USD prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jul 13, 2026 | $0.305 | $0.309 | $0.294 | $0.298 | 1 646 786 |
| Jul 12, 2026 | $0.310 | $0.314 | $0.305 | $0.307 | 2 138 889 |
| Jul 11, 2026 | $0.316 | $0.318 | $0.308 | $0.309 | 2 398 279 |
| Jul 10, 2026 | $0.309 | $0.318 | $0.307 | $0.317 | 2 953 255 |
| Jul 09, 2026 | $0.309 | $0.309 | $0.307 | $0.307 | 2 927 628 |
| Jul 08, 2026 | $0.317 | $0.318 | $0.306 | $0.310 | 2 279 857 |
| Jul 07, 2026 | $0.317 | $0.318 | $0.315 | $0.315 | 2 877 395 |
| Jul 06, 2026 | $0.322 | $0.325 | $0.322 | $0.323 | 2 796 759 |
| Jul 05, 2026 | $0.324 | $0.329 | $0.317 | $0.322 | 2 821 121 |
| Jul 04, 2026 | $0.327 | $0.331 | $0.321 | $0.324 | 2 722 305 |
| Jul 03, 2026 | $0.327 | $0.328 | $0.326 | $0.326 | 2 601 374 |
| Jul 02, 2026 | $0.317 | $0.318 | $0.313 | $0.313 | 2 752 303 |
| Jul 01, 2026 | $0.304 | $0.323 | $0.300 | $0.319 | 3 273 165 |
| Jun 30, 2026 | $0.309 | $0.309 | $0.300 | $0.305 | 2 687 667 |
| Jun 29, 2026 | $0.307 | $0.314 | $0.304 | $0.307 | 2 693 619 |
| Jun 28, 2026 | $0.307 | $0.307 | $0.304 | $0.306 | 2 427 318 |
| Jun 27, 2026 | $0.310 | $0.312 | $0.310 | $0.311 | 2 908 026 |
| Jun 26, 2026 | $0.315 | $0.318 | $0.315 | $0.318 | 3 552 349 |
| Jun 25, 2026 | $0.314 | $0.315 | $0.313 | $0.313 | 6 206 780 |
| Jun 24, 2026 | $0.316 | $0.334 | $0.310 | $0.314 | 5 542 405 |
| Jun 23, 2026 | $0.326 | $0.330 | $0.313 | $0.317 | 2 603 867 |
| Jun 22, 2026 | $0.331 | $0.338 | $0.325 | $0.326 | 2 500 707 |
| Jun 21, 2026 | $0.329 | $0.333 | $0.329 | $0.333 | 2 345 809 |
| Jun 20, 2026 | $0.340 | $0.342 | $0.340 | $0.342 | 2 795 537 |
| Jun 19, 2026 | $0.335 | $0.336 | $0.335 | $0.335 | 2 952 547 |
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 ALPINEUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the ALPINEUSD 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 ALPINEUSD 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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