CRYPTO:XLMUSD
Stellar Cryptocurrency Price (Quote)
$0.0988
+0.0007 (+0.723%)
At Close: Jun 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0916 | $0.114 | Sunday, 16th Jun 2024 XLMUSD stock ended at $0.0988. This is 0.723% more than the trading day before Saturday, 15th Jun 2024. During the day the stock fluctuated 1.62% from a day low at $0.0976 to a day high of $0.0992. |
90 days | $0.0916 | $0.144 | |
52 weeks | $0.0782 | $0.197 |
Historical Stellar prices
Date | Open | High | Low | Close | Volume |
Jul 07, 2021 | $0.261 | $0.266 | $0.256 | $0.257 | 341 283 702 |
Jul 06, 2021 | $0.254 | $0.268 | $0.254 | $0.260 | 360 426 095 |
Jul 05, 2021 | $0.268 | $0.268 | $0.252 | $0.254 | 335 924 211 |
Jul 04, 2021 | $0.264 | $0.272 | $0.259 | $0.268 | 337 619 569 |
Jul 03, 2021 | $0.263 | $0.270 | $0.260 | $0.264 | 331 006 888 |
Jul 02, 2021 | $0.269 | $0.273 | $0.253 | $0.263 | 348 779 260 |
Jul 01, 2021 | $0.283 | $0.283 | $0.260 | $0.270 | 371 285 153 |
Jun 30, 2021 | $0.283 | $0.286 | $0.267 | $0.283 | 437 817 934 |
Jun 29, 2021 | $0.264 | $0.293 | $0.263 | $0.281 | 529 269 669 |
Jun 28, 2021 | $0.259 | $0.269 | $0.256 | $0.264 | 410 516 522 |
Jun 27, 2021 | $0.249 | $0.259 | $0.240 | $0.259 | 430 864 934 |
Jun 26, 2021 | $0.242 | $0.249 | $0.229 | $0.249 | 435 631 054 |
Jun 25, 2021 | $0.269 | $0.274 | $0.241 | $0.243 | 459 649 224 |
Jun 24, 2021 | $0.256 | $0.273 | $0.244 | $0.268 | 495 390 035 |
Jun 23, 2021 | $0.235 | $0.704 | $0.225 | $0.256 | 617 417 521 |
Jun 22, 2021 | $0.236 | $0.259 | $0.200 | $0.235 | 883 152 929 |
Jun 21, 2021 | $0.297 | $0.302 | $0.236 | $0.237 | 646 879 152 |
Jun 20, 2021 | $0.290 | $0.299 | $0.271 | $0.298 | 468 555 357 |
Jun 19, 2021 | $0.298 | $0.307 | $0.290 | $0.291 | 375 747 048 |
Jun 18, 2021 | $0.318 | $0.319 | $0.286 | $0.298 | 507 029 821 |
Jun 17, 2021 | $0.318 | $0.330 | $0.311 | $0.318 | 697 753 372 |
Jun 16, 2021 | $0.334 | $0.342 | $0.316 | $0.317 | 814 399 660 |
Jun 15, 2021 | $0.344 | $0.351 | $0.331 | $0.344 | 884 436 203 |
Jun 14, 2021 | $0.345 | $0.349 | $0.328 | $0.348 | 765 281 329 |
Jun 13, 2021 | $0.328 | $0.348 | $0.312 | $0.345 | 783 830 045 |
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.