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 |
Jan 09, 2024 | $0.0792 | $0.0798 | $0.0703 | $0.0708 | 33 497 430 |
Jan 08, 2024 | $0.0807 | $0.0828 | $0.0780 | $0.0785 | 5 646 260 |
Jan 07, 2024 | $0.0807 | $0.0828 | $0.0780 | $0.0787 | 40 285 740 |
Jan 06, 2024 | $0.0977 | $0.102 | $0.0815 | $0.0853 | 17 174 467 |
Jan 05, 2024 | $0.0978 | $0.102 | $0.0815 | $0.0853 | 95 461 184 |
Jan 04, 2024 | $0.0850 | $0.104 | $0.0766 | $0.0964 | 52 229 083 |
Jan 03, 2024 | $0.0850 | $0.105 | $0.0805 | $0.0965 | 196 621 392 |
Jan 02, 2024 | $0.0681 | $0.0720 | $0.0665 | $0.0696 | 8 749 464 |
Jan 01, 2024 | $0.0680 | $0.0720 | $0.0665 | $0.0697 | 42 959 796 |
Dec 31, 2023 | $0.0738 | $0.0757 | $0.0709 | $0.0710 | 7 553 444 |
Dec 30, 2023 | $0.0737 | $0.0757 | $0.0708 | $0.0708 | 40 516 864 |
Dec 29, 2023 | $0.0816 | $0.0923 | $0.0780 | $0.0781 | 55 091 204 |
Dec 28, 2023 | $0.0816 | $0.0918 | $0.0781 | $0.0781 | 197 557 888 |
Dec 27, 2023 | $0.0573 | $0.0748 | $0.0569 | $0.0649 | 52 514 866 |
Dec 26, 2023 | $0.0575 | $0.0750 | $0.0568 | $0.0650 | 150 633 744 |
Dec 25, 2023 | $0.0544 | $0.0551 | $0.0522 | $0.0528 | 7 173 514 |
Dec 24, 2023 | $0.0545 | $0.0551 | $0.0522 | $0.0529 | 35 403 788 |
Dec 23, 2023 | $0.0515 | $0.0582 | $0.0501 | $0.0564 | 19 562 679 |
Dec 22, 2023 | $0.0516 | $0.0589 | $0.0502 | $0.0565 | 65 845 400 |
Dec 21, 2023 | $0.0475 | $0.0530 | $0.0454 | $0.0497 | 11 671 049 |
Dec 20, 2023 | $0.0475 | $0.0530 | $0.0454 | $0.0496 | 49 107 760 |
Dec 19, 2023 | $0.0430 | $0.0433 | $0.0389 | $0.0418 | 3 493 412 |
Dec 18, 2023 | $0.0429 | $0.0432 | $0.0390 | $0.0416 | 29 613 288 |
Dec 17, 2023 | $0.0417 | $0.0446 | $0.0412 | $0.0440 | 3 630 457 |
Dec 16, 2023 | $0.0417 | $0.0460 | $0.0412 | $0.0438 | 36 278 316 |
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.