NASDAQ:WIN
Delisted
Windstream Holdings Stock Price (Quote)
$0.340
+0 (+0%)
At Close: Sep 17, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.340 | $0.340 | Tuesday, 17th Sep 2019 WIN stock ended at $0.340. During the day the stock fluctuated 0% from a day low at $0.340 to a day high of $0.340. |
90 days | $0.340 | $0.340 | |
52 weeks | $0.201 | $5.27 |
Date | Open | High | Low | Close | Volume |
Oct 23, 2018 | $4.49 | $4.57 | $4.31 | $4.49 | 488 181 |
Oct 22, 2018 | $4.51 | $4.74 | $4.47 | $4.57 | 402 197 |
Oct 19, 2018 | $4.45 | $4.67 | $4.45 | $4.53 | 354 581 |
Oct 18, 2018 | $4.58 | $4.72 | $4.40 | $4.45 | 388 037 |
Oct 17, 2018 | $4.49 | $4.64 | $4.27 | $4.62 | 422 238 |
Oct 16, 2018 | $4.20 | $4.55 | $4.17 | $4.52 | 616 354 |
Oct 15, 2018 | $4.14 | $4.44 | $4.13 | $4.23 | 392 660 |
Oct 12, 2018 | $4.21 | $4.23 | $4.03 | $4.13 | 537 247 |
Oct 11, 2018 | $4.32 | $4.44 | $4.10 | $4.13 | 766 288 |
Oct 10, 2018 | $4.55 | $4.64 | $4.31 | $4.36 | 532 365 |
Oct 09, 2018 | $4.40 | $4.59 | $4.40 | $4.55 | 506 794 |
Oct 08, 2018 | $4.50 | $4.50 | $4.30 | $4.40 | 452 053 |
Oct 05, 2018 | $4.82 | $4.82 | $4.42 | $4.50 | 908 776 |
Oct 04, 2018 | $4.87 | $4.95 | $4.70 | $4.81 | 615 149 |
Oct 03, 2018 | $5.04 | $5.22 | $4.88 | $4.88 | 910 387 |
Oct 02, 2018 | $4.94 | $5.27 | $4.94 | $5.22 | 1 074 317 |
Oct 01, 2018 | $4.95 | $4.98 | $4.88 | $4.94 | 452 595 |
Sep 28, 2018 | $4.86 | $4.97 | $4.80 | $4.90 | 390 776 |
Sep 27, 2018 | $4.87 | $5.07 | $4.79 | $4.88 | 495 461 |
Sep 26, 2018 | $4.94 | $4.96 | $4.84 | $4.85 | 335 380 |
Sep 25, 2018 | $5.04 | $5.04 | $4.88 | $4.93 | 463 362 |
Sep 24, 2018 | $4.89 | $5.07 | $4.76 | $5.03 | 630 814 |
Sep 21, 2018 | $5.02 | $5.03 | $4.72 | $4.93 | 1 510 949 |
Sep 20, 2018 | $4.97 | $5.12 | $4.89 | $4.97 | 714 674 |
Sep 19, 2018 | $5.02 | $5.09 | $4.95 | $4.96 | 990 756 |
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 WIN stock historical prices to predict future price movements?
Trend Analysis: Examine the WIN 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 WIN 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.