CRYPTO:GNOUSD
Gnosis / US Dollar Cryptocurrency Price (Quote)
$366.74
-7.08 (-1.89%)
At Close: May 26, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $264.79 | $380.95 | Sunday, 26th May 2024 GNOUSD stock ended at $366.74. This is 1.89% less than the trading day before Saturday, 25th May 2024. During the day the stock fluctuated 4.75% from a day low at $363.68 to a day high of $380.95. |
90 days | $264.79 | $444.70 | |
52 weeks | $90.34 | $444.70 |
Date | Open | High | Low | Close | Volume |
Apr 06, 2024 | $343.01 | $351.66 | $340.94 | $346.99 | 16 399 393 |
Apr 05, 2024 | $334.60 | $355.50 | $328.80 | $344.60 | 1 787 785 |
Apr 04, 2024 | $334.06 | $355.00 | $325.96 | $345.00 | 19 787 720 |
Apr 03, 2024 | $343.80 | $346.40 | $318.60 | $325.10 | 1 951 575 |
Apr 02, 2024 | $342.08 | $346.65 | $316.17 | $324.99 | 19 283 376 |
Apr 01, 2024 | $344.00 | $361.50 | $342.90 | $357.40 | 1 474 330 |
Mar 31, 2024 | $347.05 | $361.00 | $342.65 | $355.82 | 4 918 717 |
Mar 30, 2024 | $368.20 | $368.30 | $357.00 | $360.30 | 1 050 995 |
Mar 29, 2024 | $368.60 | $370.59 | $353.62 | $358.86 | 11 649 498 |
Mar 28, 2024 | $362.00 | $371.30 | $354.50 | $357.20 | 1 175 545 |
Mar 27, 2024 | $361.63 | $368.66 | $354.69 | $356.14 | 14 488 594 |
Mar 26, 2024 | $351.20 | $370.70 | $348.90 | $369.40 | 1 199 442 |
Mar 25, 2024 | $351.65 | $369.92 | $347.95 | $368.46 | 12 927 011 |
Mar 24, 2024 | $336.80 | $348.00 | $332.50 | $342.10 | 1 205 218 |
Mar 23, 2024 | $334.85 | $347.25 | $330.32 | $342.48 | 15 379 819 |
Mar 22, 2024 | $343.10 | $354.90 | $339.00 | $346.50 | 1 778 238 |
Mar 21, 2024 | $343.91 | $356.93 | $335.74 | $345.33 | 21 076 830 |
Mar 20, 2024 | $332.00 | $333.70 | $299.70 | $317.30 | 2 746 866 |
Mar 19, 2024 | $331.13 | $336.03 | $300.74 | $318.52 | 28 771 582 |
Mar 18, 2024 | $351.60 | $363.60 | $336.10 | $363.00 | 1 534 764 |
Mar 17, 2024 | $352.00 | $363.18 | $338.00 | $361.77 | 17 687 390 |
Mar 16, 2024 | $400.80 | $405.60 | $373.50 | $376.20 | 1 729 768 |
Mar 15, 2024 | $400.77 | $406.35 | $357.93 | $376.18 | 17 314 348 |
Mar 14, 2024 | $435.40 | $441.20 | $424.40 | $428.30 | 1 388 549 |
Mar 13, 2024 | $434.57 | $440.46 | $422.09 | $427.08 | 11 506 287 |
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 GNOUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the GNOUSD 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 GNOUSD 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.