NASDAQ:COWN
Delisted
Cowen Group Stock Price (Quote)
$38.99
+0 (+0%)
At Close: May 26, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $38.99 | $38.99 | Friday, 26th May 2023 COWN stock ended at $38.99. During the day the stock fluctuated 0% from a day low at $38.99 to a day high of $38.99. |
90 days | $38.99 | $39.03 | |
52 weeks | $21.36 | $39.07 |
Date | Open | High | Low | Close | Volume |
Mar 27, 2019 | $14.62 | $14.78 | $14.33 | $14.43 | 164 845 |
Mar 26, 2019 | $14.47 | $14.72 | $14.43 | $14.61 | 153 893 |
Mar 25, 2019 | $14.27 | $14.68 | $14.20 | $14.39 | 246 080 |
Mar 22, 2019 | $14.76 | $14.76 | $14.27 | $14.29 | 205 969 |
Mar 21, 2019 | $14.65 | $15.00 | $14.65 | $14.91 | 150 548 |
Mar 20, 2019 | $14.92 | $15.09 | $14.67 | $14.68 | 336 781 |
Mar 19, 2019 | $15.37 | $15.37 | $14.81 | $14.91 | 227 156 |
Mar 18, 2019 | $14.95 | $15.36 | $14.95 | $15.31 | 202 340 |
Mar 15, 2019 | $14.93 | $15.12 | $14.82 | $14.96 | 399 579 |
Mar 14, 2019 | $14.82 | $15.09 | $14.76 | $14.96 | 167 672 |
Mar 13, 2019 | $14.88 | $15.12 | $14.73 | $14.83 | 245 821 |
Mar 12, 2019 | $14.88 | $15.00 | $14.75 | $14.84 | 271 589 |
Mar 11, 2019 | $14.55 | $14.90 | $14.50 | $14.89 | 174 439 |
Mar 08, 2019 | $14.29 | $14.61 | $14.20 | $14.45 | 296 102 |
Mar 07, 2019 | $14.68 | $14.71 | $14.34 | $14.46 | 244 741 |
Mar 06, 2019 | $14.93 | $15.02 | $14.71 | $14.71 | 415 439 |
Mar 05, 2019 | $15.22 | $15.40 | $14.79 | $14.90 | 307 075 |
Mar 04, 2019 | $15.69 | $15.94 | $15.22 | $15.25 | 241 032 |
Mar 01, 2019 | $15.61 | $15.96 | $15.39 | $15.68 | 244 185 |
Feb 28, 2019 | $15.74 | $15.86 | $15.45 | $15.48 | 439 903 |
Feb 27, 2019 | $15.92 | $16.11 | $15.70 | $15.75 | 225 307 |
Feb 26, 2019 | $16.20 | $16.43 | $15.90 | $15.95 | 374 839 |
Feb 25, 2019 | $16.82 | $16.93 | $16.13 | $16.22 | 195 276 |
Feb 22, 2019 | $16.71 | $16.89 | $16.67 | $16.77 | 193 196 |
Feb 21, 2019 | $16.93 | $17.17 | $16.59 | $16.62 | 531 458 |
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 COWN stock historical prices to predict future price movements?
Trend Analysis: Examine the COWN 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 COWN 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.