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 |
Apr 18, 2021 | $0.599 | $0.606 | $0.464 | $0.545 | 2 642 964 343 |
Apr 17, 2021 | $0.611 | $0.644 | $0.596 | $0.599 | 1 747 763 981 |
Apr 16, 2021 | $0.640 | $0.654 | $0.568 | $0.613 | 2 279 497 102 |
Apr 15, 2021 | $0.637 | $0.649 | $0.616 | $0.641 | 1 884 434 890 |
Apr 14, 2021 | $0.655 | $0.690 | $0.589 | $0.637 | 3 686 360 458 |
Apr 13, 2021 | $0.590 | $0.684 | $0.577 | $0.655 | 4 359 650 544 |
Apr 12, 2021 | $0.585 | $0.606 | $0.568 | $0.591 | 2 677 108 329 |
Apr 11, 2021 | $0.563 | $0.655 | $0.556 | $0.589 | 5 784 803 709 |
Apr 10, 2021 | $0.487 | $0.593 | $0.483 | $0.562 | 3 632 750 033 |
Apr 09, 2021 | $0.507 | $0.507 | $0.479 | $0.486 | 1 072 231 147 |
Apr 08, 2021 | $0.474 | $0.507 | $0.471 | $0.507 | 1 584 288 709 |
Apr 07, 2021 | $0.543 | $0.548 | $0.458 | $0.473 | 2 697 133 800 |
Apr 06, 2021 | $0.539 | $0.581 | $0.487 | $0.543 | 4 717 764 852 |
Apr 05, 2021 | $0.438 | $0.551 | $0.434 | $0.536 | 4 476 131 328 |
Apr 04, 2021 | $0.418 | $0.443 | $0.412 | $0.438 | 1 213 059 845 |
Apr 03, 2021 | $0.446 | $0.465 | $0.418 | $0.418 | 1 617 541 085 |
Apr 02, 2021 | $0.432 | $0.472 | $0.432 | $0.447 | 2 189 259 118 |
Apr 01, 2021 | $0.411 | $0.437 | $0.409 | $0.433 | 1 465 378 533 |
Mar 31, 2021 | $0.406 | $0.412 | $0.389 | $0.411 | 1 052 641 432 |
Mar 30, 2021 | $0.408 | $0.415 | $0.403 | $0.406 | 883 027 112 |
Mar 29, 2021 | $0.400 | $0.413 | $0.395 | $0.408 | 932 211 824 |
Mar 28, 2021 | $0.385 | $0.414 | $0.381 | $0.399 | 1 322 103 231 |
Mar 27, 2021 | $0.387 | $0.392 | $0.376 | $0.385 | 716 032 418 |
Mar 26, 2021 | $0.366 | $0.389 | $0.365 | $0.388 | 905 696 765 |
Mar 25, 2021 | $0.368 | $0.374 | $0.350 | $0.366 | 1 066 307 446 |
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.