CRYPTO:AXSUSD
Axie Infinity / US Dollar Cryptocurrency Price (Quote)
$7.80
+0 (+0%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.47 | $9.00 | Friday, 24th May 2024 AXSUSD stock ended at $7.80. During the day the stock fluctuated 0% from a day low at $7.80 to a day high of $7.80. |
90 days | $6.47 | $13.40 | |
52 weeks | $4.06 | $13.40 |
Date | Open | High | Low | Close | Volume |
Feb 14, 2024 | $7.55 | $8.03 | $7.52 | $7.87 | 63 281 236 |
Feb 13, 2024 | $7.48 | $7.94 | $7.47 | $7.82 | 16 497 127 |
Feb 12, 2024 | $7.50 | $8.16 | $7.44 | $7.84 | 108 227 024 |
Feb 11, 2024 | $7.50 | $7.84 | $7.43 | $7.50 | 64 969 370 |
Feb 10, 2024 | $7.49 | $7.64 | $7.30 | $7.44 | 50 486 775 |
Feb 09, 2024 | $7.28 | $7.70 | $7.21 | $7.46 | 65 736 095 |
Feb 08, 2024 | $7.14 | $7.59 | $7.11 | $7.30 | 58 946 504 |
Feb 07, 2024 | $6.87 | $7.00 | $6.80 | $6.98 | 7 881 921 |
Feb 06, 2024 | $6.87 | $7.25 | $6.66 | $6.98 | 51 745 224 |
Feb 05, 2024 | $7.14 | $7.14 | $6.95 | $7.06 | 5 380 419 |
Feb 02, 2024 | $7.01 | $7.17 | $6.98 | $7.09 | 58 782 444 |
Feb 01, 2024 | $7.35 | $7.45 | $6.87 | $6.93 | 13 521 442 |
Jan 31, 2024 | $7.36 | $7.44 | $6.87 | $6.90 | 79 152 208 |
Jan 30, 2024 | $7.29 | $7.50 | $7.16 | $7.48 | 5 134 115 |
Jan 29, 2024 | $7.29 | $7.53 | $7.17 | $7.48 | 50 395 356 |
Jan 26, 2024 | $7.19 | $7.19 | $6.94 | $7.12 | 5 968 518 |
Jan 25, 2024 | $7.20 | $9.09 | $6.95 | $7.12 | 56 432 072 |
Jan 24, 2024 | $7.27 | $7.42 | $6.71 | $6.81 | 9 982 330 |
Jan 23, 2024 | $7.26 | $7.95 | $6.72 | $6.80 | 69 456 040 |
Jan 22, 2024 | $7.79 | $8.02 | $7.70 | $7.88 | 5 483 290 |
Jan 19, 2024 | $7.57 | $9.39 | $7.11 | $7.52 | 84 369 952 |
Jan 18, 2024 | $8.31 | $8.46 | $7.93 | $8.07 | 8 754 538 |
Jan 17, 2024 | $8.18 | $8.65 | $7.79 | $8.06 | 57 688 652 |
Jan 16, 2024 | $7.79 | $8.04 | $7.75 | $7.86 | 6 530 332 |
Jan 15, 2024 | $7.79 | $8.04 | $7.56 | $7.86 | 48 425 456 |
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 AXSUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the AXSUSD 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 AXSUSD 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.