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 |
Mar 24, 2021 | $0.400 | $0.406 | $0.361 | $0.369 | 976 328 018 |
Mar 23, 2021 | $0.397 | $0.412 | $0.392 | $0.400 | 1 103 779 839 |
Mar 22, 2021 | $0.405 | $0.426 | $0.397 | $0.397 | 1 398 256 291 |
Mar 21, 2021 | $0.418 | $0.425 | $0.395 | $0.405 | 1 202 061 273 |
Mar 20, 2021 | $0.398 | $0.439 | $0.396 | $0.417 | 1 573 144 660 |
Mar 19, 2021 | $0.397 | $0.404 | $0.391 | $0.398 | 779 831 001 |
Mar 18, 2021 | $0.405 | $0.410 | $0.388 | $0.398 | 857 862 584 |
Mar 17, 2021 | $0.396 | $0.406 | $0.389 | $0.405 | 931 660 142 |
Mar 16, 2021 | $0.385 | $0.410 | $0.376 | $0.396 | 1 172 225 532 |
Mar 15, 2021 | $0.391 | $0.399 | $0.371 | $0.386 | 979 911 106 |
Mar 14, 2021 | $0.408 | $0.408 | $0.391 | $0.392 | 788 965 241 |
Mar 13, 2021 | $0.388 | $0.412 | $0.378 | $0.408 | 1 078 554 244 |
Mar 12, 2021 | $0.406 | $0.408 | $0.382 | $0.388 | 932 051 704 |
Mar 11, 2021 | $0.410 | $0.413 | $0.398 | $0.406 | 952 021 130 |
Mar 10, 2021 | $0.432 | $0.433 | $0.408 | $0.411 | 975 485 394 |
Mar 09, 2021 | $0.417 | $0.434 | $0.413 | $0.433 | 1 048 814 189 |
Mar 08, 2021 | $0.413 | $0.420 | $0.403 | $0.418 | 857 074 336 |
Mar 07, 2021 | $0.403 | $0.422 | $0.403 | $0.413 | 796 240 412 |
Mar 06, 2021 | $0.406 | $0.408 | $0.394 | $0.403 | 680 865 154 |
Mar 05, 2021 | $0.413 | $0.413 | $0.388 | $0.406 | 839 856 756 |
Mar 04, 2021 | $0.422 | $0.427 | $0.404 | $0.413 | 1 067 768 373 |
Mar 03, 2021 | $0.420 | $0.438 | $0.415 | $0.422 | 1 195 050 006 |
Mar 02, 2021 | $0.430 | $0.437 | $0.400 | $0.420 | 1 167 447 987 |
Mar 01, 2021 | $0.407 | $0.436 | $0.404 | $0.430 | 1 390 709 358 |
Feb 28, 2021 | $0.442 | $0.452 | $0.386 | $0.407 | 1 888 502 990 |
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.