CRYPTO:SKLUSD
Skale Network / Us Dollar Cryptocurrency Price (Quote)
Buy SKLUSD
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$0.0039
-0.0001 (-2.50%)
At Close: Jun 23, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $0.0038 | $0.0064 | Tuesday, 23rd Jun 2026 SKLUSD stock ended at $0.0039. This is 2.50% less than the trading day before Monday, 22nd Jun 2026. During the day the stock fluctuated 2.63% from a day low at $0.0038 to a day high of $0.0039. |
| 90 days | $0.0038 | $0.0103 | |
| 52 weeks | $0.0038 | $0.0531 |
Historical SKALE Network / US Dollar prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 23, 2026 | $0.0039 | $0.0039 | $0.0038 | $0.0039 | 3 398 082 |
| Jun 22, 2026 | $0.0040 | $0.0040 | $0.0040 | $0.0040 | 2 792 778 |
| Jun 21, 2026 | $0.0040 | $0.0041 | $0.0040 | $0.0041 | 2 172 161 |
| Jun 20, 2026 | $0.0042 | $0.0042 | $0.0041 | $0.0042 | 3 524 155 |
| Jun 19, 2026 | $0.0040 | $0.0040 | $0.0039 | $0.0040 | 2 812 372 |
| Jun 18, 2026 | $0.0041 | $0.0041 | $0.0040 | $0.0040 | 3 472 155 |
| Jun 17, 2026 | $0.0044 | $0.0046 | $0.0042 | $0.0042 | 6 706 315 |
| Jun 16, 2026 | $0.0044 | $0.0045 | $0.0042 | $0.0044 | 3 915 920 |
| Jun 15, 2026 | $0.0044 | $0.0044 | $0.0044 | $0.0044 | 7 440 047 |
| Jun 14, 2026 | $0.0043 | $0.0045 | $0.0041 | $0.0044 | 5 314 446 |
| Jun 13, 2026 | $0.0043 | $0.0044 | $0.0043 | $0.0043 | 4 973 684 |
| Jun 12, 2026 | $0.0042 | $0.0042 | $0.0042 | $0.0042 | 5 527 186 |
| Jun 11, 2026 | $0.0042 | $0.0044 | $0.0041 | $0.0043 | 4 423 780 |
| Jun 10, 2026 | $0.0042 | $0.0042 | $0.0042 | $0.0042 | 3 493 238 |
| Jun 09, 2026 | $0.0043 | $0.0043 | $0.0043 | $0.0043 | 4 019 614 |
| Jun 08, 2026 | $0.0045 | $0.0045 | $0.0043 | $0.0044 | 4 824 139 |
| Jun 07, 2026 | $0.0044 | $0.0046 | $0.0043 | $0.0045 | 4 027 572 |
| Jun 06, 2026 | $0.0044 | $0.0044 | $0.0044 | $0.0044 | 7 380 902 |
| Jun 05, 2026 | $0.0048 | $0.0049 | $0.0043 | $0.0045 | 12 113 178 |
| Jun 04, 2026 | $0.0048 | $0.0049 | $0.0048 | $0.0048 | 9 955 732 |
| Jun 03, 2026 | $0.0053 | $0.0053 | $0.0053 | $0.0053 | 17 284 |
| Jun 02, 2026 | $0.0057 | $0.0057 | $0.0051 | $0.0053 | 6 132 114 |
| Jun 01, 2026 | $0.0058 | $0.0059 | $0.0056 | $0.0057 | 5 278 276 |
| May 31, 2026 | $0.0058 | $0.0058 | $0.0056 | $0.0058 | 2 946 149 |
| May 30, 2026 | $0.0057 | $0.0059 | $0.0057 | $0.0057 | 2 774 088 |
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 SKLUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the SKLUSD 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 SKLUSD 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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