CRYPTO:XDCUSD
Xinfin Network / Us Dollar Cryptocurrency Price (Quote)
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$0.0292
+0.00008669 (+0.297%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0287 | $0.0350 | Tuesday, 23rd Jun 2026 XDCUSD stock ended at $0.0292. This is 0.297% more than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 0.393% from a day low at $0.0292 to a day high of $0.0293. |
| 90 days | $0.0287 | $0.0369 | |
| 52 weeks | $0.0287 | $0.104 |
Historical XinFin Network / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $0.0293 | $0.0293 | $0.0292 | $0.0292 | 8 747 392 |
| Jun 22, 2026 | $0.0294 | $0.0296 | $0.0290 | $0.0292 | 11 733 771 |
| Jun 21, 2026 | $0.0297 | $0.0299 | $0.0293 | $0.0294 | 7 631 447 |
| Jun 20, 2026 | $0.0297 | $0.0297 | $0.0295 | $0.0297 | 5 899 415 |
| Jun 19, 2026 | $0.0297 | $0.0297 | $0.0296 | $0.0296 | 9 124 556 |
| Jun 18, 2026 | $0.0300 | $0.0307 | $0.0296 | $0.0301 | 11 922 095 |
| Jun 17, 2026 | $0.0300 | $0.0300 | $0.0300 | $0.0300 | 9 294 859 |
| Jun 16, 2026 | $0.0305 | $0.0312 | $0.0301 | $0.0305 | 10 224 965 |
| Jun 15, 2026 | $0.0305 | $0.0306 | $0.0305 | $0.0305 | 15 740 521 |
| Jun 14, 2026 | $0.0302 | $0.0303 | $0.0302 | $0.0302 | 9 719 100 |
| Jun 13, 2026 | $0.0300 | $0.0306 | $0.0300 | $0.0302 | 8 090 827 |
| Jun 12, 2026 | $0.0300 | $0.0306 | $0.0300 | $0.0304 | 12 061 523 |
| Jun 11, 2026 | $0.0310 | $0.0311 | $0.0307 | $0.0307 | 10 444 601 |
| Jun 10, 2026 | $0.0317 | $0.0317 | $0.0307 | $0.0308 | 11 300 414 |
| Jun 09, 2026 | $0.0317 | $0.0317 | $0.0315 | $0.0316 | 21 205 971 |
| Jun 08, 2026 | $0.0314 | $0.0314 | $0.0311 | $0.0311 | 13 562 532 |
| Jun 07, 2026 | $0.0298 | $0.0302 | $0.0292 | $0.0296 | 11 591 270 |
| Jun 06, 2026 | $0.0293 | $0.0299 | $0.0287 | $0.0298 | 10 637 136 |
| Jun 05, 2026 | $0.0293 | $0.0294 | $0.0293 | $0.0294 | 21 746 751 |
| Jun 04, 2026 | $0.0309 | $0.0309 | $0.0296 | $0.0301 | 44 971 527 |
| Jun 03, 2026 | $0.0312 | $0.0319 | $0.0307 | $0.0307 | 9 578 |
| Jun 02, 2026 | $0.0312 | $0.0316 | $0.0312 | $0.0316 | 14 823 024 |
| Jun 01, 2026 | $0.0337 | $0.0342 | $0.0326 | $0.0327 | 18 052 648 |
| May 31, 2026 | $0.0336 | $0.0339 | $0.0332 | $0.0338 | 11 181 182 |
| May 30, 2026 | $0.0317 | $0.0350 | $0.0317 | $0.0336 | 18 013 694 |
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 XDCUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the XDCUSD 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 XDCUSD 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.
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