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 |
Jan 25, 2024 | $3.70 | $3.83 | $3.63 | $3.70 | 278 131 |
Jan 24, 2024 | $3.84 | $3.84 | $3.63 | $3.65 | 338 054 |
Jan 23, 2024 | $3.74 | $3.78 | $3.65 | $3.75 | 417 196 |
Jan 22, 2024 | $3.49 | $3.70 | $3.49 | $3.68 | 542 212 |
Jan 19, 2024 | $3.40 | $3.46 | $3.27 | $3.42 | 515 550 |
Jan 18, 2024 | $3.35 | $3.37 | $3.25 | $3.34 | 536 335 |
Jan 17, 2024 | $3.36 | $3.39 | $3.24 | $3.27 | 502 596 |
Jan 16, 2024 | $3.47 | $3.55 | $3.44 | $3.45 | 391 852 |
Jan 12, 2024 | $3.56 | $3.70 | $3.48 | $3.50 | 382 317 |
Jan 11, 2024 | $3.46 | $3.50 | $3.37 | $3.50 | 536 584 |
Jan 10, 2024 | $3.54 | $3.54 | $3.42 | $3.50 | 490 963 |
Jan 09, 2024 | $3.63 | $3.63 | $3.50 | $3.52 | 482 664 |
Jan 08, 2024 | $3.64 | $3.73 | $3.59 | $3.70 | 441 613 |
Jan 05, 2024 | $3.71 | $3.77 | $3.59 | $3.64 | 473 801 |
Jan 04, 2024 | $3.89 | $3.92 | $3.66 | $3.73 | 556 000 |
Jan 03, 2024 | $3.98 | $4.01 | $3.90 | $3.91 | 491 972 |
Jan 02, 2024 | $4.02 | $4.15 | $3.97 | $3.99 | 300 775 |
Dec 29, 2023 | $3.98 | $4.11 | $3.98 | $4.05 | 467 228 |
Dec 28, 2023 | $4.02 | $4.15 | $3.99 | $4.00 | 472 217 |
Dec 27, 2023 | $4.05 | $4.11 | $3.99 | $4.00 | 692 408 |
Dec 26, 2023 | $3.87 | $4.15 | $3.80 | $4.10 | 768 112 |
Dec 22, 2023 | $3.76 | $3.93 | $3.70 | $3.80 | 1 010 089 |
Dec 21, 2023 | $3.79 | $3.87 | $3.67 | $3.71 | 558 772 |
Dec 20, 2023 | $3.95 | $4.05 | $3.76 | $3.77 | 412 507 |
Dec 19, 2023 | $3.80 | $4.05 | $3.78 | $3.91 | 837 250 |
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.