CRYPTO:SNSUSD
Synesis One USD Cryptocurrency Price (Quote)
$0.0627
-0.0015 (-2.28%)
At Close: May 19, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0438 | $0.0922 | Sunday, 19th May 2024 SNSUSD stock ended at $0.0627. This is 2.28% less than the trading day before Saturday, 18th May 2024. During the day the stock fluctuated 5.52% from a day low at $0.0610 to a day high of $0.0644. |
90 days | $0.0395 | $0.230 | |
52 weeks | $0.0017 | $0.230 |
Date | Open | High | Low | Close | Volume |
Dec 15, 2023 | $0.0307 | $0.0311 | $0.0211 | $0.0270 | 932 487 |
Dec 14, 2023 | $0.0326 | $0.0335 | $0.0235 | $0.0279 | 798 767 |
Dec 13, 2023 | $0.0299 | $0.0343 | $0.0245 | $0.0301 | 1 093 401 |
Dec 12, 2023 | $0.0231 | $0.0403 | $0.0231 | $0.0266 | 1 405 788 |
Dec 11, 2023 | $0.0305 | $0.0317 | $0.0206 | $0.0211 | 828 648 |
Dec 10, 2023 | $0.0261 | $0.0358 | $0.0242 | $0.0358 | 1 241 622 |
Dec 09, 2023 | $0.0191 | $0.0437 | $0.0191 | $0.0333 | 2 132 881 |
Dec 08, 2023 | $0.0143 | $0.0189 | $0.0124 | $0.0177 | 949 012 |
Dec 07, 2023 | $0.0120 | $0.0144 | $0.0118 | $0.0142 | 907 022 |
Dec 06, 2023 | $0.0112 | $0.0138 | $0.0112 | $0.0119 | 496 105 |
Dec 05, 2023 | $0.0096 | $0.0108 | $0.0095 | $0.0097 | 471 110 |
Dec 04, 2023 | $0.0119 | $0.0121 | $0.0091 | $0.0096 | 489 838 |
Dec 03, 2023 | $0.0142 | $0.0145 | $0.0115 | $0.0119 | 403 317 |
Dec 02, 2023 | $0.0117 | $0.0142 | $0.0104 | $0.0142 | 784 651 |
Dec 01, 2023 | $0.0096 | $0.0128 | $0.0093 | $0.0117 | 792 459 |
Nov 30, 2023 | $0.0091 | $0.0104 | $0.0073 | $0.0096 | 661 167 |
Nov 28, 2023 | $0.0079 | $0.0105 | $0.0079 | $0.0097 | 659 013 |
Nov 27, 2023 | $0.0116 | $0.0120 | $0.0074 | $0.0078 | 656 759 |
Nov 26, 2023 | $0.0082 | $0.0116 | $0.0080 | $0.0113 | 549 809 |
Nov 25, 2023 | $0.0106 | $0.0111 | $0.0081 | $0.0088 | 608 396 |
Nov 24, 2023 | $0.0118 | $0.0123 | $0.0095 | $0.0107 | 614 114 |
Nov 23, 2023 | $0.0089 | $0.0132 | $0.0088 | $0.0122 | 688 577 |
Nov 22, 2023 | $0.0058 | $0.0099 | $0.0052 | $0.0090 | 925 873 |
Nov 21, 2023 | $0.0069 | $0.0089 | $0.0057 | $0.0078 | 680 107 |
Nov 20, 2023 | $0.0038 | $0.0109 | $0.0037 | $0.0069 | 1 347 657 |
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.