CRYPTO:XLMUSD
Stellar Cryptocurrency Price (Quote)
$0.109
+0.0021 (+1.95%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.101 | $0.119 | Friday, 17th May 2024 XLMUSD stock ended at $0.109. This is 1.95% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.75% from a day low at $0.106 to a day high of $0.110. |
90 days | $0.101 | $0.160 | |
52 weeks | $0.0752 | $0.197 |
Date | Open | High | Low | Close | Volume |
Feb 07, 2024 | $0.108 | $0.109 | $0.107 | $0.109 | 61 152 793 |
Feb 06, 2024 | $0.108 | $0.109 | $0.107 | $0.108 | 58 910 178 |
Feb 05, 2024 | $0.109 | $0.110 | $0.108 | $0.108 | 53 425 185 |
Feb 04, 2024 | $0.111 | $0.111 | $0.108 | $0.109 | 43 423 966 |
Feb 03, 2024 | $0.110 | $0.113 | $0.109 | $0.111 | 64 327 566 |
Feb 02, 2024 | $0.110 | $0.111 | $0.109 | $0.110 | 59 801 501 |
Feb 01, 2024 | $0.110 | $0.111 | $0.108 | $0.110 | 63 804 070 |
Jan 31, 2024 | $0.113 | $0.114 | $0.109 | $0.110 | 79 261 404 |
Jan 30, 2024 | $0.117 | $0.117 | $0.112 | $0.113 | 70 296 598 |
Jan 29, 2024 | $0.114 | $0.117 | $0.113 | $0.116 | 59 572 760 |
Jan 28, 2024 | $0.116 | $0.117 | $0.113 | $0.114 | 58 099 831 |
Jan 27, 2024 | $0.116 | $0.117 | $0.115 | $0.116 | 47 430 817 |
Jan 26, 2024 | $0.112 | $0.117 | $0.112 | $0.116 | 68 168 496 |
Jan 25, 2024 | $0.113 | $0.113 | $0.110 | $0.112 | 61 402 386 |
Jan 24, 2024 | $0.112 | $0.113 | $0.111 | $0.113 | 72 231 595 |
Jan 23, 2024 | $0.113 | $0.114 | $0.107 | $0.112 | 85 309 561 |
Jan 22, 2024 | $0.116 | $0.116 | $0.112 | $0.113 | 76 399 602 |
Jan 21, 2024 | $0.115 | $0.117 | $0.115 | $0.116 | 50 234 233 |
Jan 20, 2024 | $0.114 | $0.116 | $0.113 | $0.115 | 53 832 147 |
Jan 19, 2024 | $0.114 | $0.115 | $0.109 | $0.114 | 79 408 992 |
Jan 18, 2024 | $0.119 | $0.119 | $0.113 | $0.114 | 70 892 932 |
Jan 17, 2024 | $0.118 | $0.119 | $0.117 | $0.119 | 65 803 467 |
Jan 16, 2024 | $0.118 | $0.119 | $0.116 | $0.119 | 65 533 820 |
Jan 15, 2024 | $0.118 | $0.121 | $0.118 | $0.118 | 67 233 455 |
Jan 14, 2024 | $0.120 | $0.121 | $0.118 | $0.118 | 69 840 845 |
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 XLMUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the XLMUSD 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 XLMUSD 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.