CRYPTO:XLMUSD
Stellar Cryptocurrency Price (Quote)
$0.106
-0.0008 (-0.714%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.101 | $0.114 | Friday, 31st May 2024 XLMUSD stock ended at $0.106. This is 0.714% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.43% from a day low at $0.105 to a day high of $0.107. |
90 days | $0.101 | $0.160 | |
52 weeks | $0.0752 | $0.197 |
Historical Stellar prices
Date | Open | High | Low | Close | Volume |
Oct 24, 2021 | $0.378 | $0.386 | $0.367 | $0.373 | 553 801 827 |
Oct 23, 2021 | $0.372 | $0.379 | $0.369 | $0.379 | 435 009 216 |
Oct 22, 2021 | $0.373 | $0.381 | $0.366 | $0.372 | 580 788 689 |
Oct 21, 2021 | $0.392 | $0.398 | $0.372 | $0.373 | 872 728 684 |
Oct 20, 2021 | $0.374 | $0.392 | $0.369 | $0.391 | 773 851 701 |
Oct 19, 2021 | $0.380 | $0.384 | $0.368 | $0.374 | 561 883 914 |
Oct 18, 2021 | $0.383 | $0.395 | $0.377 | $0.380 | 900 463 495 |
Oct 17, 2021 | $0.397 | $0.402 | $0.366 | $0.383 | 1 055 192 827 |
Oct 16, 2021 | $0.361 | $0.420 | $0.361 | $0.396 | 1 904 544 943 |
Oct 15, 2021 | $0.370 | $0.373 | $0.352 | $0.361 | 892 639 353 |
Oct 14, 2021 | $0.368 | $0.382 | $0.365 | $0.369 | 884 709 082 |
Oct 13, 2021 | $0.333 | $0.374 | $0.331 | $0.368 | 1 315 956 487 |
Oct 12, 2021 | $0.345 | $0.345 | $0.321 | $0.333 | 606 576 387 |
Oct 11, 2021 | $0.332 | $0.357 | $0.327 | $0.345 | 743 253 215 |
Oct 10, 2021 | $0.353 | $0.358 | $0.330 | $0.333 | 587 185 000 |
Oct 09, 2021 | $0.336 | $0.367 | $0.334 | $0.353 | 842 513 413 |
Oct 08, 2021 | $0.343 | $0.349 | $0.334 | $0.336 | 715 075 457 |
Oct 07, 2021 | $0.358 | $0.368 | $0.342 | $0.344 | 1 284 965 239 |
Oct 06, 2021 | $0.319 | $0.364 | $0.305 | $0.354 | 1 089 704 496 |
Oct 05, 2021 | $0.310 | $0.321 | $0.308 | $0.319 | 628 491 274 |
Oct 04, 2021 | $0.315 | $0.315 | $0.297 | $0.310 | 572 515 716 |
Oct 03, 2021 | $0.317 | $0.323 | $0.311 | $0.315 | 599 415 325 |
Oct 02, 2021 | $0.300 | $0.326 | $0.293 | $0.317 | 644 767 899 |
Oct 01, 2021 | $0.279 | $0.300 | $0.276 | $0.300 | 599 166 723 |
Sep 30, 2021 | $0.270 | $0.281 | $0.269 | $0.279 | 422 507 688 |
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.