NASDAQ:CMLS
Cumulus Media Inc. Stock Price (Quote)
$2.61
+0.0400 (+1.56%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.48 | $3.34 | Friday, 24th May 2024 CMLS stock ended at $2.61. This is 1.56% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 8.67% from a day low at $2.53 to a day high of $2.75. |
90 days | $2.48 | $4.71 | |
52 weeks | $2.48 | $6.58 |
Date | Open | High | Low | Close | Volume |
Mar 16, 2023 | $4.07 | $4.26 | $4.02 | $4.25 | 167 748 |
Mar 15, 2023 | $3.93 | $4.12 | $3.88 | $4.12 | 238 798 |
Mar 14, 2023 | $4.13 | $4.28 | $3.96 | $4.01 | 158 039 |
Mar 13, 2023 | $4.05 | $4.17 | $3.96 | $4.00 | 112 450 |
Mar 10, 2023 | $4.31 | $4.44 | $4.07 | $4.12 | 247 903 |
Mar 09, 2023 | $4.62 | $4.66 | $4.33 | $4.34 | 241 937 |
Mar 08, 2023 | $4.64 | $4.68 | $4.48 | $4.59 | 189 966 |
Mar 07, 2023 | $4.96 | $4.96 | $4.60 | $4.62 | 301 415 |
Mar 06, 2023 | $4.99 | $5.17 | $4.90 | $4.93 | 337 264 |
Mar 03, 2023 | $5.07 | $5.16 | $4.99 | $5.06 | 192 483 |
Mar 02, 2023 | $5.29 | $5.29 | $4.95 | $5.04 | 374 890 |
Mar 01, 2023 | $5.43 | $5.76 | $5.18 | $5.31 | 293 196 |
Feb 28, 2023 | $5.58 | $5.72 | $5.37 | $5.42 | 193 921 |
Feb 27, 2023 | $5.83 | $5.83 | $5.46 | $5.56 | 287 795 |
Feb 24, 2023 | $6.15 | $6.16 | $5.80 | $5.82 | 187 334 |
Feb 23, 2023 | $6.52 | $6.55 | $6.00 | $6.19 | 162 877 |
Feb 22, 2023 | $6.15 | $6.24 | $6.08 | $6.17 | 61 359 |
Feb 21, 2023 | $6.11 | $6.34 | $6.06 | $6.09 | 113 487 |
Feb 17, 2023 | $6.14 | $6.25 | $6.02 | $6.10 | 285 714 |
Feb 16, 2023 | $6.38 | $6.38 | $6.05 | $6.10 | 204 161 |
Feb 15, 2023 | $6.12 | $6.51 | $6.12 | $6.38 | 180 725 |
Feb 14, 2023 | $6.06 | $6.22 | $5.98 | $6.11 | 196 868 |
Feb 13, 2023 | $6.16 | $6.19 | $6.01 | $6.05 | 241 131 |
Feb 10, 2023 | $6.20 | $6.25 | $6.11 | $6.17 | 117 182 |
Feb 09, 2023 | $6.22 | $6.52 | $6.14 | $6.21 | 161 578 |
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 CMLS stock historical prices to predict future price movements?
Trend Analysis: Examine the CMLS 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 CMLS 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.