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 |
May 02, 2019 | $16.42 | $16.71 | $16.35 | $16.59 | 128 854 |
May 01, 2019 | $16.69 | $16.95 | $16.27 | $16.42 | 236 904 |
Apr 30, 2019 | $16.76 | $16.80 | $16.49 | $16.75 | 359 162 |
Apr 29, 2019 | $16.99 | $17.12 | $16.67 | $16.71 | 519 759 |
Apr 26, 2019 | $16.84 | $17.14 | $16.37 | $16.95 | 612 654 |
Apr 25, 2019 | $16.89 | $17.06 | $16.29 | $16.60 | 397 370 |
Apr 24, 2019 | $16.53 | $17.06 | $16.50 | $17.05 | 361 465 |
Apr 23, 2019 | $16.25 | $16.67 | $16.15 | $16.56 | 408 924 |
Apr 22, 2019 | $15.98 | $16.31 | $15.98 | $16.30 | 428 586 |
Apr 18, 2019 | $15.88 | $16.07 | $15.80 | $16.02 | 241 221 |
Apr 17, 2019 | $16.16 | $16.46 | $15.76 | $15.90 | 286 245 |
Apr 16, 2019 | $15.95 | $16.16 | $15.83 | $16.09 | 224 155 |
Apr 15, 2019 | $16.00 | $16.14 | $15.82 | $15.88 | 109 840 |
Apr 12, 2019 | $16.07 | $16.35 | $15.93 | $16.00 | 134 141 |
Apr 11, 2019 | $16.17 | $16.43 | $15.84 | $15.93 | 152 697 |
Apr 10, 2019 | $15.82 | $16.19 | $15.66 | $16.10 | 208 241 |
Apr 09, 2019 | $15.80 | $15.94 | $15.65 | $15.82 | 223 122 |
Apr 08, 2019 | $15.75 | $15.88 | $15.57 | $15.85 | 412 825 |
Apr 05, 2019 | $15.50 | $15.83 | $15.42 | $15.78 | 190 054 |
Apr 04, 2019 | $15.15 | $15.43 | $15.06 | $15.42 | 126 030 |
Apr 03, 2019 | $15.24 | $15.44 | $15.08 | $15.14 | 140 083 |
Apr 02, 2019 | $15.30 | $15.30 | $14.97 | $15.06 | 202 663 |
Apr 01, 2019 | $14.70 | $15.32 | $14.66 | $15.27 | 453 761 |
Mar 29, 2019 | $14.68 | $14.84 | $14.48 | $14.49 | 363 333 |
Mar 28, 2019 | $14.50 | $14.66 | $14.42 | $14.57 | 116 078 |
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.