OTCBB:COYN
Delisted
COPsync Fund Price (Quote)
$0.0800
+0 (+0%)
At Close: Oct 26, 2017
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0800 | $0.130 | Thursday, 26th Oct 2017 COYN stock ended at $0.0800. During the day the stock fluctuated 0% from a day low at $0.0800 to a day high of $0.0800. |
90 days | $0.0800 | $0.199 | |
52 weeks | $0.0800 | $1.28 |
Date | Open | High | Low | Close | Volume |
Mar 24, 2017 | $0.350 | $0.350 | $0.330 | $0.334 | 156 294 |
Mar 23, 2017 | $0.330 | $0.350 | $0.330 | $0.332 | 106 139 |
Mar 22, 2017 | $0.355 | $0.360 | $0.330 | $0.332 | 219 023 |
Mar 21, 2017 | $0.383 | $0.400 | $0.328 | $0.354 | 549 125 |
Mar 20, 2017 | $0.388 | $0.430 | $0.360 | $0.365 | 886 970 |
Mar 17, 2017 | $0.400 | $0.400 | $0.360 | $0.360 | 757 020 |
Mar 16, 2017 | $0.336 | $0.420 | $0.310 | $0.415 | 2 176 744 |
Mar 15, 2017 | $0.330 | $0.340 | $0.310 | $0.320 | 219 398 |
Mar 14, 2017 | $0.350 | $0.370 | $0.320 | $0.333 | 118 972 |
Mar 13, 2017 | $0.340 | $0.370 | $0.320 | $0.350 | 210 754 |
Mar 10, 2017 | $0.350 | $0.350 | $0.315 | $0.319 | 142 419 |
Mar 09, 2017 | $0.303 | $0.370 | $0.302 | $0.330 | 609 886 |
Mar 08, 2017 | $0.310 | $0.340 | $0.310 | $0.310 | 187 861 |
Mar 07, 2017 | $0.370 | $0.370 | $0.312 | $0.312 | 358 870 |
Mar 06, 2017 | $0.320 | $0.349 | $0.305 | $0.325 | 267 514 |
Mar 03, 2017 | $0.310 | $0.320 | $0.300 | $0.310 | 220 548 |
Mar 02, 2017 | $0.326 | $0.390 | $0.299 | $0.304 | 365 847 |
Mar 01, 2017 | $0.340 | $0.350 | $0.300 | $0.310 | 236 640 |
Feb 28, 2017 | $0.370 | $0.370 | $0.300 | $0.340 | 268 230 |
Feb 27, 2017 | $0.360 | $0.365 | $0.340 | $0.357 | 290 458 |
Feb 24, 2017 | $0.370 | $0.380 | $0.340 | $0.360 | 272 220 |
Feb 23, 2017 | $0.375 | $0.375 | $0.360 | $0.368 | 165 535 |
Feb 22, 2017 | $0.400 | $0.400 | $0.340 | $0.375 | 258 134 |
Feb 21, 2017 | $0.450 | $0.450 | $0.350 | $0.390 | 542 966 |
Feb 17, 2017 | $0.446 | $0.450 | $0.390 | $0.405 | 423 186 |
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 COYN stock historical prices to predict future price movements?
Trend Analysis: Examine the COYN 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 COYN 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.