CRYPTO:CNSUSD
Centric Swap USD Stock Price (Quote)
$0.000002
+0 (+0%)
At Close: Jun 23, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0000018 | $0.000003 | Sunday, 23rd Jun 2024 CNSUSD stock ended at $0.000002. During the day the stock fluctuated 0% from a day low at $0.000002 to a day high of $0.000002. |
90 days | $0.0000018 | $0.000006 | |
52 weeks | $0.0000018 | $0.000039 |
Historical Centric Swap USD prices
Date | Open | High | Low | Close | Volume |
Jun 23, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 188 042 |
Jun 22, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 175 851 |
Jun 21, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 177 582 |
Jun 20, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 180 602 |
Jun 19, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 189 704 |
Jun 18, 2024 | $0.00000204 | $0.00000204 | $0.0000018 | $0.00000185 | 178 320 |
Jun 17, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 177 282 |
Jun 16, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 140 655 |
Jun 15, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 182 545 |
Jun 14, 2024 | $0.000002 | $0.000002 | $0.000002 | $0.000002 | 178 409 |
Jun 13, 2024 | $0.000002 | $0.000003 | $0.000002 | $0.000002 | 167 674 |
Jun 12, 2024 | $0.000002 | $0.000003 | $0.000002 | $0.000002 | 195 535 |
Jun 11, 2024 | $0.000002 | $0.000003 | $0.000002 | $0.000003 | 181 362 |
Jun 10, 2024 | $0.000003 | $0.000003 | $0.000002 | $0.000003 | 184 961 |
Jun 09, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 170 001 |
Jun 08, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 167 007 |
Jun 07, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 165 886 |
Jun 06, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 189 612 |
Jun 05, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 206 705 |
Jun 04, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 191 673 |
Jun 03, 2024 | $0.000003 | $0.000003 | $0.000002 | $0.000003 | 207 061 |
Jun 02, 2024 | $0.000003 | $0.000003 | $0.000002 | $0.000003 | 178 144 |
Jun 01, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 165 465 |
May 31, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 170 535 |
May 30, 2024 | $0.000003 | $0.000003 | $0.000003 | $0.000003 | 173 118 |
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 CNSUSD stock historical prices to predict future price movements?
Trend Analysis: Examine the CNSUSD 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 CNSUSD 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.