CCY:ARSCHF
ARS/CHF Currency Pair Price (Quote)
0.0010 Fr
+0.0004 (+56.92%)
At Close: Jul 02, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | 0.0006 Fr | 0.0010 Fr | Tuesday, 2nd Jul 2024 ARSCHF stock ended at 0.0010 Fr. This is 56.92% more than the trading day before Monday, 1st Jul 2024. During the day the stock fluctuated 56.72% from a day low at 0.0006 Fr to a day high of 0.0010 Fr. |
90 days | 0.0006 Fr | 0.0011 Fr | |
52 weeks | 0.0006 Fr | 0.0035 Fr |
Historical ARS/CHF prices
Date | Open | High | Low | Close | Volume |
Jul 02, 2024 | 0.0006 Fr | 0.0010 Fr | 0.0006 Fr | 0.0010 Fr | 735 316 |
Jul 01, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 166 561 |
Jun 28, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 822 896 |
Jun 27, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 738 152 |
Jun 26, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 751 432 |
Jun 25, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 720 907 |
Jun 24, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 127 606 |
Jun 21, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 831 649 |
Jun 20, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 1 006 286 |
Jun 18, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 941 094 |
Jun 17, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 166 055 |
Jun 16, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 37 |
Jun 14, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 926 649 |
Jun 13, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 745 199 |
Jun 12, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 982 513 |
Jun 11, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 500 418 |
Jun 10, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 647 |
Jun 07, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 1 323 |
Jun 06, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 680 |
Jun 05, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0 |
Jun 04, 2024 | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 0.0006 Fr | 662 |
Jun 03, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 584 |
May 31, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 1 593 |
May 30, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 1 022 |
May 29, 2024 | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 0.0010 Fr | 513 |
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 ARSCHF stock historical prices to predict future price movements?
Trend Analysis: Examine the ARSCHF 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 ARSCHF 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.