CRYPTO:SNSUSD
Synesis One USD Cryptocurrency Price (Quote)
$0.0483
+0.0003 (+0.650%)
At Close: May 30, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0438 | $0.0764 | Thursday, 30th May 2024 SNSUSD stock ended at $0.0483. This is 0.650% more than the trading day before Wednesday, 29th May 2024. During the day the stock fluctuated 11.16% from a day low at $0.0453 to a day high of $0.0504. |
90 days | $0.0438 | $0.230 | |
52 weeks | $0.0017 | $0.230 |
Historical Synesis One USD prices
Date | Open | High | Low | Close | Volume |
Apr 10, 2024 | $0.0748 | $0.0755 | $0.0691 | $0.0703 | 2 456 003 |
Apr 09, 2024 | $0.0844 | $0.0850 | $0.0749 | $0.0768 | 2 767 870 |
Apr 08, 2024 | $0.0782 | $0.0857 | $0.0775 | $0.0841 | 11 105 799 |
Apr 07, 2024 | $0.0862 | $0.0864 | $0.0798 | $0.0800 | 1 778 195 |
Apr 06, 2024 | $0.0793 | $0.0907 | $0.0793 | $0.0906 | 3 870 196 |
Apr 05, 2024 | $0.0852 | $0.0852 | $0.0755 | $0.0805 | 8 523 894 |
Apr 04, 2024 | $0.0943 | $0.0944 | $0.0846 | $0.0846 | 3 372 379 |
Apr 03, 2024 | $0.0776 | $0.0980 | $0.0769 | $0.0965 | 8 535 662 |
Apr 02, 2024 | $0.0959 | $0.0959 | $0.0846 | $0.0846 | 10 351 206 |
Apr 01, 2024 | $0.113 | $0.114 | $0.0812 | $0.0933 | 4 738 461 |
Mar 31, 2024 | $0.121 | $0.126 | $0.117 | $0.117 | 22 302 772 |
Mar 30, 2024 | $0.111 | $0.128 | $0.0977 | $0.121 | 15 317 254 |
Mar 29, 2024 | $0.121 | $0.121 | $0.110 | $0.110 | 4 292 396 |
Mar 28, 2024 | $0.127 | $0.129 | $0.122 | $0.123 | 11 064 726 |
Mar 27, 2024 | $0.134 | $0.138 | $0.125 | $0.126 | 12 510 063 |
Mar 26, 2024 | $0.130 | $0.157 | $0.125 | $0.133 | 10 788 183 |
Mar 25, 2024 | $0.126 | $0.128 | $0.121 | $0.125 | 4 644 284 |
Mar 24, 2024 | $0.119 | $0.128 | $0.119 | $0.127 | 5 036 982 |
Mar 23, 2024 | $0.124 | $0.130 | $0.118 | $0.121 | 4 141 419 |
Mar 22, 2024 | $0.122 | $0.129 | $0.115 | $0.128 | 11 548 170 |
Mar 21, 2024 | $0.145 | $0.146 | $0.116 | $0.118 | 5 277 330 |
Mar 20, 2024 | $0.117 | $0.139 | $0.113 | $0.139 | 3 493 566 |
Mar 19, 2024 | $0.116 | $0.122 | $0.114 | $0.122 | 9 421 082 |
Mar 18, 2024 | $0.171 | $0.173 | $0.131 | $0.132 | 9 688 416 |
Mar 17, 2024 | $0.116 | $0.185 | $0.116 | $0.185 | 12 852 779 |
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 SNSUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the SNSUSD 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 SNSUSD 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.