NASDAQ:CNSL
Consolidated Communications Holdings Stock Price (Quote)
$4.32
-0.0200 (-0.461%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $4.19 | $4.36 | Friday, 17th May 2024 CNSL stock ended at $4.32. This is 0.461% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.696% from a day low at $4.31 to a day high of $4.34. |
90 days | $4.19 | $4.36 | |
52 weeks | $2.93 | $4.65 |
Date | Open | High | Low | Close | Volume |
Mar 17, 2020 | $4.28 | $4.54 | $4.02 | $4.29 | 718 672 |
Mar 16, 2020 | $4.75 | $5.00 | $4.04 | $4.19 | 1 347 509 |
Mar 13, 2020 | $5.61 | $5.84 | $5.10 | $5.20 | 954 600 |
Mar 12, 2020 | $5.59 | $5.94 | $5.20 | $5.38 | 833 174 |
Mar 11, 2020 | $5.97 | $6.28 | $5.80 | $5.99 | 920 630 |
Mar 10, 2020 | $5.89 | $6.09 | $5.59 | $6.09 | 695 868 |
Mar 09, 2020 | $5.64 | $5.99 | $5.50 | $5.70 | 716 108 |
Mar 06, 2020 | $6.28 | $6.40 | $6.01 | $6.15 | 642 642 |
Mar 05, 2020 | $6.55 | $6.62 | $6.39 | $6.47 | 627 363 |
Mar 04, 2020 | $6.46 | $6.88 | $6.38 | $6.69 | 549 174 |
Mar 03, 2020 | $6.31 | $6.64 | $6.14 | $6.35 | 850 360 |
Mar 02, 2020 | $6.28 | $6.38 | $6.01 | $6.31 | 664 251 |
Feb 28, 2020 | $6.23 | $6.42 | $6.06 | $6.21 | 896 105 |
Feb 27, 2020 | $6.93 | $6.93 | $6.43 | $6.45 | 1 013 554 |
Feb 26, 2020 | $7.14 | $7.25 | $7.03 | $7.05 | 676 337 |
Feb 25, 2020 | $7.46 | $7.46 | $7.03 | $7.16 | 1 011 055 |
Feb 24, 2020 | $7.05 | $7.51 | $6.85 | $7.47 | 1 155 270 |
Feb 21, 2020 | $6.84 | $7.34 | $6.77 | $7.30 | 1 973 667 |
Feb 20, 2020 | $5.87 | $7.50 | $5.75 | $6.97 | 5 042 796 |
Feb 19, 2020 | $5.27 | $5.55 | $5.23 | $5.52 | 890 480 |
Feb 18, 2020 | $5.25 | $5.38 | $4.93 | $5.22 | 748 758 |
Feb 14, 2020 | $5.17 | $5.35 | $5.15 | $5.22 | 407 694 |
Feb 13, 2020 | $5.30 | $5.34 | $5.14 | $5.18 | 288 939 |
Feb 12, 2020 | $5.44 | $5.52 | $5.28 | $5.29 | 493 346 |
Feb 11, 2020 | $5.27 | $5.43 | $5.21 | $5.42 | 493 207 |
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 CNSL stock historical prices to predict future price movements?
Trend Analysis: Examine the CNSL 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 CNSL 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.