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 |
Historical Windstream Holdings prices
Date | Open | High | Low | Close | Volume |
Sep 18, 2018 | $4.97 | $5.25 | $4.87 | $5.02 | 892 522 |
Sep 17, 2018 | $4.82 | $5.16 | $4.81 | $4.96 | 1 184 197 |
Sep 14, 2018 | $4.27 | $4.87 | $4.27 | $4.85 | 1 346 663 |
Sep 13, 2018 | $4.29 | $4.45 | $4.26 | $4.32 | 562 549 |
Sep 12, 2018 | $4.13 | $4.35 | $4.08 | $4.29 | 818 551 |
Sep 11, 2018 | $3.85 | $4.15 | $3.82 | $4.12 | 827 834 |
Sep 10, 2018 | $3.84 | $3.99 | $3.78 | $3.89 | 641 592 |
Sep 07, 2018 | $4.03 | $4.16 | $3.80 | $3.82 | 955 520 |
Sep 06, 2018 | $4.35 | $4.45 | $4.05 | $4.06 | 960 442 |
Sep 05, 2018 | $4.46 | $4.65 | $4.31 | $4.32 | 717 893 |
Sep 04, 2018 | $4.71 | $4.71 | $4.37 | $4.46 | 775 123 |
Aug 31, 2018 | $4.70 | $4.77 | $4.60 | $4.71 | 800 596 |
Aug 30, 2018 | $5.05 | $5.13 | $4.63 | $4.69 | 1 023 734 |
Aug 29, 2018 | $5.17 | $5.27 | $5.10 | $5.15 | 556 161 |
Aug 28, 2018 | $5.34 | $5.43 | $5.18 | $5.24 | 569 813 |
Aug 27, 2018 | $5.22 | $5.39 | $5.16 | $5.36 | 644 571 |
Aug 24, 2018 | $5.37 | $5.61 | $5.18 | $5.25 | 775 141 |
Aug 23, 2018 | $5.39 | $5.47 | $5.37 | $5.39 | 371 046 |
Aug 22, 2018 | $5.49 | $5.49 | $5.28 | $5.44 | 573 338 |
Aug 21, 2018 | $5.21 | $5.50 | $5.19 | $5.47 | 971 638 |
Aug 20, 2018 | $5.17 | $5.23 | $5.06 | $5.18 | 693 793 |
Aug 17, 2018 | $5.15 | $5.26 | $5.10 | $5.14 | 946 968 |
Aug 16, 2018 | $5.00 | $5.27 | $4.98 | $5.15 | 788 877 |
Aug 15, 2018 | $5.06 | $5.14 | $4.85 | $5.00 | 1 202 492 |
Aug 14, 2018 | $5.18 | $5.48 | $5.07 | $5.12 | 1 612 003 |
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.