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 |
Aug 01, 2021 | $0.285 | $0.300 | $0.274 | $0.276 | 629 418 983 |
Jul 31, 2021 | $0.279 | $0.290 | $0.274 | $0.286 | 542 423 429 |
Jul 30, 2021 | $0.272 | $0.285 | $0.263 | $0.279 | 544 526 611 |
Jul 29, 2021 | $0.270 | $0.275 | $0.262 | $0.272 | 449 501 855 |
Jul 28, 2021 | $0.263 | $0.281 | $0.258 | $0.269 | 693 920 024 |
Jul 27, 2021 | $0.261 | $0.270 | $0.251 | $0.263 | 466 181 632 |
Jul 26, 2021 | $0.262 | $0.284 | $0.257 | $0.261 | 710 940 974 |
Jul 25, 2021 | $0.267 | $0.268 | $0.254 | $0.262 | 348 760 886 |
Jul 24, 2021 | $0.269 | $0.272 | $0.261 | $0.268 | 464 576 174 |
Jul 23, 2021 | $0.264 | $0.277 | $0.249 | $0.269 | 833 096 764 |
Jul 22, 2021 | $0.228 | $0.268 | $0.224 | $0.264 | 967 644 367 |
Jul 21, 2021 | $0.212 | $0.230 | $0.207 | $0.228 | 409 219 916 |
Jul 20, 2021 | $0.212 | $0.216 | $0.199 | $0.212 | 400 269 220 |
Jul 19, 2021 | $0.230 | $0.232 | $0.212 | $0.212 | 306 686 285 |
Jul 18, 2021 | $0.233 | $0.241 | $0.228 | $0.231 | 327 137 782 |
Jul 17, 2021 | $0.235 | $0.238 | $0.229 | $0.233 | 427 315 628 |
Jul 16, 2021 | $0.241 | $0.258 | $0.234 | $0.236 | 734 377 357 |
Jul 15, 2021 | $0.240 | $0.244 | $0.227 | $0.241 | 372 008 308 |
Jul 14, 2021 | $0.233 | $0.245 | $0.220 | $0.240 | 416 234 872 |
Jul 13, 2021 | $0.239 | $0.243 | $0.228 | $0.233 | 310 476 443 |
Jul 12, 2021 | $0.246 | $0.252 | $0.237 | $0.239 | 303 323 693 |
Jul 11, 2021 | $0.245 | $0.248 | $0.241 | $0.246 | 272 218 462 |
Jul 10, 2021 | $0.246 | $0.253 | $0.239 | $0.245 | 305 321 825 |
Jul 09, 2021 | $0.243 | $0.250 | $0.233 | $0.246 | 413 022 586 |
Jul 08, 2021 | $0.257 | $0.258 | $0.240 | $0.243 | 398 257 785 |
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.