NYSE:WOW
WideOpenWest Inc Stock Price (Quote)
$4.79
-0.190 (-3.82%)
At Close: May 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.33 | $5.11 | Tuesday, 14th May 2024 WOW stock ended at $4.79. This is 3.82% less than the trading day before Monday, 13th May 2024. During the day the stock fluctuated 7.07% from a day low at $4.74 to a day high of $5.07. |
90 days | $2.31 | $5.11 | |
52 weeks | $2.31 | $9.06 |
Date | Open | High | Low | Close | Volume |
Mar 04, 2024 | $3.88 | $3.92 | $3.71 | $3.80 | 748 008 |
Mar 01, 2024 | $4.06 | $4.06 | $3.83 | $3.86 | 463 363 |
Feb 29, 2024 | $4.09 | $4.14 | $3.98 | $4.00 | 570 944 |
Feb 28, 2024 | $4.04 | $4.20 | $3.97 | $4.00 | 478 292 |
Feb 27, 2024 | $4.14 | $4.17 | $3.92 | $4.04 | 495 987 |
Feb 26, 2024 | $3.97 | $4.30 | $3.97 | $4.20 | 823 046 |
Feb 23, 2024 | $4.05 | $4.09 | $3.77 | $3.99 | 565 435 |
Feb 22, 2024 | $3.87 | $4.07 | $3.76 | $4.01 | 512 773 |
Feb 21, 2024 | $4.22 | $4.23 | $3.82 | $3.86 | 1 038 580 |
Feb 20, 2024 | $3.59 | $4.22 | $3.59 | $4.20 | 1 684 187 |
Feb 16, 2024 | $3.46 | $3.61 | $3.42 | $3.54 | 451 790 |
Feb 15, 2024 | $3.35 | $3.55 | $3.34 | $3.52 | 401 836 |
Feb 14, 2024 | $3.38 | $3.43 | $3.28 | $3.33 | 441 610 |
Feb 13, 2024 | $3.45 | $3.51 | $3.29 | $3.31 | 480 510 |
Feb 12, 2024 | $3.49 | $3.70 | $3.49 | $3.64 | 504 498 |
Feb 09, 2024 | $3.42 | $3.50 | $3.42 | $3.46 | 477 492 |
Feb 08, 2024 | $3.38 | $3.48 | $3.34 | $3.44 | 391 643 |
Feb 07, 2024 | $3.55 | $3.55 | $3.38 | $3.38 | 371 828 |
Feb 06, 2024 | $3.36 | $3.52 | $3.31 | $3.50 | 424 677 |
Feb 05, 2024 | $3.48 | $3.49 | $3.33 | $3.34 | 454 406 |
Feb 02, 2024 | $3.75 | $3.75 | $3.43 | $3.47 | 708 858 |
Feb 01, 2024 | $3.74 | $3.88 | $3.70 | $3.84 | 388 900 |
Jan 31, 2024 | $3.79 | $3.89 | $3.69 | $3.71 | 647 117 |
Jan 30, 2024 | $3.75 | $3.83 | $3.74 | $3.79 | 658 082 |
Jan 29, 2024 | $3.75 | $3.77 | $3.65 | $3.77 | 557 832 |
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 WOW stock historical prices to predict future price movements?
Trend Analysis: Examine the WOW 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 WOW 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.