CRYPTO:XLMUSD
Stellar Cryptocurrency Price (Quote)
$0.113
+0.0002 (+0.151%)
At Close: May 22, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.101 | $0.119 | Wednesday, 22nd May 2024 XLMUSD stock ended at $0.113. This is 0.151% more than the trading day before Tuesday, 21st May 2024. During the day the stock fluctuated 2.33% from a day low at $0.112 to a day high of $0.114. |
90 days | $0.101 | $0.160 | |
52 weeks | $0.0752 | $0.197 |
Date | Open | High | Low | Close | Volume |
Apr 02, 2024 | $0.141 | $0.143 | $0.132 | $0.134 | 20 565 576 |
Apr 01, 2024 | $0.141 | $0.143 | $0.132 | $0.134 | 146 075 952 |
Mar 31, 2024 | $0.143 | $0.144 | $0.139 | $0.140 | 10 663 249 |
Mar 30, 2024 | $0.143 | $0.144 | $0.139 | $0.140 | 99 033 072 |
Mar 29, 2024 | $0.134 | $0.139 | $0.133 | $0.138 | 13 503 623 |
Mar 28, 2024 | $0.134 | $0.140 | $0.133 | $0.138 | 111 500 696 |
Mar 27, 2024 | $0.137 | $0.140 | $0.136 | $0.138 | 14 590 879 |
Mar 26, 2024 | $0.137 | $0.140 | $0.136 | $0.138 | 125 184 944 |
Mar 25, 2024 | $0.133 | $0.136 | $0.132 | $0.134 | 7 675 585 |
Mar 24, 2024 | $0.133 | $0.135 | $0.132 | $0.134 | 81 082 888 |
Mar 23, 2024 | $0.133 | $0.134 | $0.125 | $0.128 | 12 686 964 |
Mar 22, 2024 | $0.133 | $0.134 | $0.126 | $0.127 | 123 216 224 |
Mar 21, 2024 | $0.121 | $0.130 | $0.117 | $0.130 | 22 779 218 |
Mar 20, 2024 | $0.121 | $0.130 | $0.117 | $0.130 | 187 451 680 |
Mar 19, 2024 | $0.132 | $0.133 | $0.125 | $0.127 | 16 923 680 |
Mar 18, 2024 | $0.132 | $0.133 | $0.125 | $0.127 | 128 688 416 |
Mar 17, 2024 | $0.137 | $0.143 | $0.127 | $0.128 | 20 681 938 |
Mar 16, 2024 | $0.137 | $0.143 | $0.126 | $0.128 | 186 110 464 |
Mar 15, 2024 | $0.151 | $0.153 | $0.138 | $0.143 | 31 572 128 |
Mar 14, 2024 | $0.151 | $0.153 | $0.138 | $0.142 | 260 526 480 |
Mar 13, 2024 | $0.158 | $0.160 | $0.142 | $0.149 | 35 009 703 |
Mar 12, 2024 | $0.158 | $0.159 | $0.142 | $0.149 | 285 195 424 |
Mar 11, 2024 | $0.142 | $0.145 | $0.138 | $0.140 | 12 574 849 |
Mar 10, 2024 | $0.143 | $0.145 | $0.138 | $0.141 | 140 504 592 |
Mar 09, 2024 | $0.142 | $0.146 | $0.137 | $0.141 | 23 836 904 |
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.