NYSE:GCI
Gannett Co., Inc. Stock Price (Quote)
$3.72
+0.170 (+4.79%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.35 | $3.79 | Friday, 17th May 2024 GCI stock ended at $3.72. This is 4.79% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 7.06% from a day low at $3.54 to a day high of $3.79. |
90 days | $1.95 | $3.79 | |
52 weeks | $1.66 | $3.79 |
Date | Open | High | Low | Close | Volume |
Oct 12, 2023 | $2.63 | $2.63 | $2.45 | $2.47 | 377 468 |
Oct 11, 2023 | $2.70 | $2.72 | $2.60 | $2.63 | 298 855 |
Oct 10, 2023 | $2.58 | $2.70 | $2.58 | $2.66 | 527 065 |
Oct 09, 2023 | $2.52 | $2.58 | $2.47 | $2.56 | 459 005 |
Oct 06, 2023 | $2.50 | $2.62 | $2.49 | $2.57 | 398 322 |
Oct 05, 2023 | $2.49 | $2.56 | $2.44 | $2.51 | 1 130 193 |
Oct 04, 2023 | $2.42 | $2.52 | $2.39 | $2.51 | 311 082 |
Oct 03, 2023 | $2.50 | $2.52 | $2.38 | $2.42 | 767 615 |
Oct 02, 2023 | $2.45 | $2.51 | $2.44 | $2.50 | 553 217 |
Sep 29, 2023 | $2.43 | $2.50 | $2.43 | $2.45 | 413 751 |
Sep 28, 2023 | $2.36 | $2.45 | $2.36 | $2.42 | 428 325 |
Sep 27, 2023 | $2.41 | $2.46 | $2.34 | $2.35 | 439 598 |
Sep 26, 2023 | $2.44 | $2.52 | $2.38 | $2.41 | 706 873 |
Sep 25, 2023 | $2.41 | $2.51 | $2.41 | $2.47 | 453 326 |
Sep 22, 2023 | $2.59 | $2.60 | $2.43 | $2.44 | 421 951 |
Sep 21, 2023 | $2.50 | $2.66 | $2.50 | $2.58 | 554 989 |
Sep 20, 2023 | $2.58 | $2.66 | $2.53 | $2.53 | 473 753 |
Sep 19, 2023 | $2.55 | $2.60 | $2.54 | $2.57 | 316 727 |
Sep 18, 2023 | $2.68 | $2.74 | $2.55 | $2.55 | 655 595 |
Sep 15, 2023 | $2.90 | $2.89 | $2.65 | $2.66 | 1 087 826 |
Sep 14, 2023 | $2.74 | $2.96 | $2.74 | $2.93 | 850 115 |
Sep 13, 2023 | $2.75 | $2.78 | $2.70 | $2.73 | 656 368 |
Sep 12, 2023 | $2.76 | $2.84 | $2.76 | $2.76 | 357 647 |
Sep 11, 2023 | $2.73 | $2.82 | $2.72 | $2.78 | 619 144 |
Sep 08, 2023 | $2.76 | $2.78 | $2.69 | $2.72 | 604 289 |
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 GCI stock historical prices to predict future price movements?
Trend Analysis: Examine the GCI 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 GCI 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.