CRYPTO:DSFRUSD
Digital Swiss Franc USD Stock Price (Quote)
$0.0037
+0 (+0%)
At Close: Jun 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0037 | $0.0037 | Monday, 24th Jun 2024 DSFRUSD stock ended at $0.0037. During the day the stock fluctuated 0% from a day low at $0.0037 to a day high of $0.0037. |
90 days | $0.0028 | $0.0037 | |
52 weeks | $0.0015 | $0.0037 |
Historical Digital Swiss Franc USD prices
Date | Open | High | Low | Close | Volume |
Jun 24, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 0 |
Jun 23, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 106 548 |
Jun 22, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 113 606 |
Jun 21, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 112 720 |
Jun 20, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 124 857 |
Jun 19, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 117 850 |
Jun 18, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 128 987 |
Jun 17, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 135 770 |
Jun 16, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 131 280 |
Jun 15, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 128 795 |
Jun 14, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 121 799 |
Jun 13, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 120 336 |
Jun 12, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 113 422 |
Jun 11, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 107 564 |
Jun 10, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 122 292 |
Jun 09, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 127 646 |
Jun 08, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 135 553 |
Jun 07, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 136 724 |
Jun 06, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 125 264 |
Jun 05, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 119 183 |
Jun 04, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 110 159 |
Jun 03, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 119 338 |
Jun 02, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 126 022 |
Jun 01, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 119 591 |
May 31, 2024 | $0.0037 | $0.0037 | $0.0037 | $0.0037 | 110 969 |
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 DSFRUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the DSFRUSD 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 DSFRUSD 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.