NYSE:WOW
WideOpenWest Inc Stock Price (Quote)
$4.98
+0.330 (+7.10%)
At Close: May 13, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.33 | $5.11 | Monday, 13th May 2024 WOW stock ended at $4.98. This is 7.10% more than the trading day before Friday, 10th May 2024. During the day the stock fluctuated 8.19% from a day low at $4.72 to a day high of $5.11. |
90 days | $2.31 | $5.11 | |
52 weeks | $2.31 | $9.06 |
Date | Open | High | Low | Close | Volume |
Apr 08, 2024 | $3.75 | $3.94 | $3.73 | $3.88 | 505 618 |
Apr 05, 2024 | $3.66 | $3.73 | $3.64 | $3.71 | 349 048 |
Apr 04, 2024 | $3.60 | $3.68 | $3.56 | $3.66 | 487 245 |
Apr 03, 2024 | $3.45 | $3.59 | $3.39 | $3.57 | 323 459 |
Apr 02, 2024 | $3.56 | $3.59 | $3.43 | $3.44 | 360 127 |
Apr 01, 2024 | $3.64 | $3.67 | $3.54 | $3.64 | 335 422 |
Mar 28, 2024 | $3.61 | $3.69 | $3.60 | $3.62 | 458 011 |
Mar 27, 2024 | $3.46 | $3.59 | $3.38 | $3.59 | 394 411 |
Mar 26, 2024 | $3.22 | $3.53 | $3.22 | $3.43 | 764 694 |
Mar 25, 2024 | $3.07 | $3.18 | $3.06 | $3.18 | 346 726 |
Mar 22, 2024 | $3.22 | $3.24 | $3.10 | $3.10 | 234 919 |
Mar 21, 2024 | $3.20 | $3.29 | $3.18 | $3.25 | 285 646 |
Mar 20, 2024 | $3.02 | $3.21 | $2.99 | $3.16 | 730 067 |
Mar 19, 2024 | $3.03 | $3.16 | $3.02 | $3.03 | 721 392 |
Mar 18, 2024 | $3.07 | $3.16 | $3.02 | $3.03 | 741 377 |
Mar 15, 2024 | $3.10 | $3.16 | $2.87 | $3.04 | 1 417 508 |
Mar 14, 2024 | $3.20 | $3.23 | $3.04 | $3.17 | 784 115 |
Mar 13, 2024 | $2.88 | $3.21 | $2.31 | $3.07 | 4 311 107 |
Mar 12, 2024 | $3.47 | $3.51 | $3.43 | $3.46 | 605 591 |
Mar 11, 2024 | $3.46 | $3.56 | $3.46 | $3.51 | 416 656 |
Mar 08, 2024 | $3.57 | $3.66 | $3.47 | $3.47 | 319 336 |
Mar 07, 2024 | $3.53 | $3.62 | $3.49 | $3.56 | 608 945 |
Mar 06, 2024 | $3.65 | $3.72 | $3.49 | $3.49 | 690 039 |
Mar 05, 2024 | $3.77 | $3.86 | $3.66 | $3.67 | 434 097 |
Mar 04, 2024 | $3.88 | $3.92 | $3.71 | $3.80 | 748 008 |
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.