CRYPTO:SNSUSD
Synesis One USD Cryptocurrency Price (Quote)
$0.0494
+0.0024 (+5.15%)
At Close: Jun 01, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0438 | $0.0764 | Saturday, 1st Jun 2024 SNSUSD stock ended at $0.0494. This is 5.15% more than the trading day before Friday, 31st May 2024. During the day the stock fluctuated 7.13% from a day low at $0.0463 to a day high of $0.0496. |
90 days | $0.0438 | $0.230 | |
52 weeks | $0.0017 | $0.230 |
Historical Synesis One USD prices
Date | Open | High | Low | Close | Volume |
Sep 18, 2023 | $0.0025 | $0.0026 | $0.0025 | $0.0025 | 157 429 |
Sep 17, 2023 | $0.0025 | $0.0025 | $0.0025 | $0.0025 | 178 695 |
Sep 16, 2023 | $0.0025 | $0.0025 | $0.0025 | $0.0025 | 184 383 |
Sep 15, 2023 | $0.0025 | $0.0025 | $0.0025 | $0.0025 | 175 815 |
Sep 14, 2023 | $0.0025 | $0.0026 | $0.0025 | $0.0025 | 176 341 |
Sep 13, 2023 | $0.0025 | $0.0026 | $0.0024 | $0.0025 | 166 496 |
Sep 12, 2023 | $0.0025 | $0.0025 | $0.0024 | $0.0025 | 166 115 |
Sep 11, 2023 | $0.0026 | $0.0026 | $0.0024 | $0.0025 | 160 808 |
Sep 10, 2023 | $0.0027 | $0.0027 | $0.0025 | $0.0026 | 146 154 |
Sep 09, 2023 | $0.0027 | $0.0027 | $0.0027 | $0.0027 | 164 501 |
Sep 08, 2023 | $0.0027 | $0.0028 | $0.0027 | $0.0027 | 183 540 |
Sep 07, 2023 | $0.0027 | $0.0027 | $0.0027 | $0.0027 | 164 692 |
Sep 06, 2023 | $0.0025 | $0.0028 | $0.0024 | $0.0027 | 195 099 |
Sep 05, 2023 | $0.0025 | $0.0025 | $0.0024 | $0.0025 | 164 097 |
Sep 04, 2023 | $0.0025 | $0.0025 | $0.0025 | $0.0025 | 170 051 |
Sep 03, 2023 | $0.0024 | $0.0026 | $0.0024 | $0.0025 | 166 280 |
Sep 02, 2023 | $0.0024 | $0.0025 | $0.0024 | $0.0024 | 162 915 |
Sep 01, 2023 | $0.0024 | $0.0024 | $0.0024 | $0.0024 | 154 126 |
Aug 31, 2023 | $0.0025 | $0.0025 | $0.0024 | $0.0024 | 158 687 |
Aug 30, 2023 | $0.0024 | $0.0025 | $0.0024 | $0.0025 | 160 786 |
Aug 29, 2023 | $0.0026 | $0.0026 | $0.0024 | $0.0024 | 157 894 |
Aug 28, 2023 | $0.0027 | $0.0027 | $0.0026 | $0.0026 | 182 816 |
Aug 27, 2023 | $0.0026 | $0.0027 | $0.0026 | $0.0027 | 195 592 |
Aug 26, 2023 | $0.0026 | $0.0026 | $0.0026 | $0.0026 | 208 853 |
Aug 25, 2023 | $0.0026 | $0.0026 | $0.0026 | $0.0026 | 207 746 |
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.