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 |
Aug 31, 2023 | $8.02 | $8.18 | $7.99 | $8.10 | 332 507 |
Aug 30, 2023 | $8.22 | $8.28 | $7.91 | $8.00 | 368 683 |
Aug 29, 2023 | $7.66 | $8.22 | $7.61 | $8.21 | 326 014 |
Aug 28, 2023 | $7.49 | $7.68 | $7.49 | $7.68 | 192 642 |
Aug 25, 2023 | $7.53 | $7.63 | $7.40 | $7.48 | 177 018 |
Aug 24, 2023 | $7.49 | $7.61 | $7.42 | $7.51 | 227 767 |
Aug 23, 2023 | $7.48 | $7.61 | $7.45 | $7.53 | 234 126 |
Aug 22, 2023 | $7.57 | $7.59 | $7.41 | $7.46 | 210 172 |
Aug 21, 2023 | $7.49 | $7.66 | $7.49 | $7.58 | 205 081 |
Aug 18, 2023 | $7.53 | $7.80 | $7.44 | $7.59 | 247 981 |
Aug 17, 2023 | $7.35 | $7.60 | $7.34 | $7.56 | 233 221 |
Aug 16, 2023 | $7.50 | $7.57 | $7.37 | $7.38 | 290 658 |
Aug 15, 2023 | $7.76 | $7.86 | $7.34 | $7.53 | 323 019 |
Aug 14, 2023 | $7.60 | $7.95 | $7.46 | $7.93 | 287 430 |
Aug 11, 2023 | $7.67 | $7.75 | $7.39 | $7.61 | 301 263 |
Aug 10, 2023 | $7.92 | $8.13 | $7.63 | $7.73 | 379 138 |
Aug 09, 2023 | $7.54 | $7.92 | $7.54 | $7.92 | 352 951 |
Aug 08, 2023 | $7.84 | $7.85 | $7.19 | $7.54 | 783 695 |
Aug 07, 2023 | $8.23 | $8.43 | $8.11 | $8.28 | 197 893 |
Aug 04, 2023 | $8.18 | $8.49 | $8.18 | $8.23 | 366 791 |
Aug 03, 2023 | $8.25 | $8.47 | $8.17 | $8.21 | 234 966 |
Aug 02, 2023 | $7.99 | $8.39 | $7.98 | $8.27 | 322 673 |
Aug 01, 2023 | $8.20 | $8.43 | $8.00 | $8.06 | 922 032 |
Jul 31, 2023 | $7.80 | $8.24 | $7.82 | $8.24 | 496 863 |
Jul 28, 2023 | $7.92 | $8.07 | $7.79 | $7.82 | 240 207 |
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 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.