CRYPTO:SKLUSD
SKALE Network / US Dollar Cryptocurrency Price (Quote)
$0.0715
-0.0024 (-3.23%)
At Close: May 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0662 | $0.104 | Sunday, 19th May 2024 SKLUSD stock ended at $0.0715. This is 3.23% less than the trading day before Saturday, 18th May 2024. During the day the stock fluctuated 6.33% from a day low at $0.0711 to a day high of $0.0756. |
90 days | $0.0662 | $0.135 | |
52 weeks | $0.0192 | $0.135 |
Date | Open | High | Low | Close | Volume |
Feb 09, 2024 | $0.0728 | $0.0841 | $0.0727 | $0.0790 | 38 219 664 |
Feb 08, 2024 | $0.0738 | $0.0746 | $0.0722 | $0.0732 | 13 947 255 |
Feb 07, 2024 | $0.0711 | $0.0723 | $0.0698 | $0.0712 | 1 840 855 |
Feb 06, 2024 | $0.0709 | $0.0723 | $0.0698 | $0.0713 | 11 647 996 |
Feb 05, 2024 | $0.0720 | $0.0725 | $0.0705 | $0.0720 | 1 101 469 |
Feb 02, 2024 | $0.0725 | $0.0748 | $0.0717 | $0.0732 | 21 657 958 |
Feb 01, 2024 | $0.0756 | $0.0763 | $0.0718 | $0.0730 | 2 637 691 |
Jan 31, 2024 | $0.0755 | $0.0763 | $0.0718 | $0.0729 | 24 677 814 |
Jan 30, 2024 | $0.0745 | $0.0778 | $0.0738 | $0.0771 | 2 445 929 |
Jan 29, 2024 | $0.0744 | $0.0777 | $0.0738 | $0.0770 | 24 696 552 |
Jan 26, 2024 | $0.0795 | $0.0801 | $0.0684 | $0.0717 | 10 801 666 |
Jan 25, 2024 | $0.0794 | $0.0800 | $0.0684 | $0.0716 | 58 876 056 |
Jan 24, 2024 | $0.0684 | $0.0702 | $0.0631 | $0.0659 | 4 124 702 |
Jan 23, 2024 | $0.0682 | $0.0701 | $0.0630 | $0.0659 | 33 343 024 |
Jan 22, 2024 | $0.0753 | $0.0772 | $0.0749 | $0.0757 | 1 836 372 |
Jan 19, 2024 | $0.0784 | $0.0786 | $0.0722 | $0.0763 | 36 165 496 |
Jan 18, 2024 | $0.0866 | $0.0886 | $0.0820 | $0.0836 | 4 811 623 |
Jan 17, 2024 | $0.0859 | $0.0863 | $0.0818 | $0.0833 | 37 321 996 |
Jan 16, 2024 | $0.0848 | $0.0896 | $0.0840 | $0.0859 | 4 297 250 |
Jan 15, 2024 | $0.0847 | $0.0895 | $0.0840 | $0.0861 | 36 457 164 |
Jan 14, 2024 | $0.0887 | $0.0912 | $0.0857 | $0.0893 | 4 786 103 |
Jan 13, 2024 | $0.0887 | $0.0912 | $0.0856 | $0.0893 | 45 019 856 |
Jan 12, 2024 | $0.0995 | $0.107 | $0.0896 | $0.0915 | 28 570 387 |
Jan 11, 2024 | $0.0998 | $0.107 | $0.0896 | $0.0912 | 133 760 200 |
Jan 10, 2024 | $0.0792 | $0.0798 | $0.0703 | $0.0710 | 4 779 154 |
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.