NYSE:GCI
Gannett Co., Inc. Stock Price (Quote)
$3.71
+0.260 (+7.54%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.35 | $3.79 | Friday, 24th May 2024 GCI stock ended at $3.71. This is 7.54% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.90% from a day low at $3.57 to a day high of $3.75. |
90 days | $1.95 | $3.79 | |
52 weeks | $1.66 | $3.79 |
Date | Open | High | Low | Close | Volume |
Apr 19, 2024 | $2.48 | $2.63 | $2.42 | $2.60 | 1 297 364 |
Apr 18, 2024 | $2.42 | $2.52 | $2.40 | $2.50 | 1 351 745 |
Apr 17, 2024 | $2.47 | $2.50 | $2.35 | $2.42 | 777 770 |
Apr 16, 2024 | $2.30 | $2.47 | $2.26 | $2.45 | 1 467 705 |
Apr 15, 2024 | $2.40 | $2.48 | $2.32 | $2.32 | 1 088 810 |
Apr 12, 2024 | $2.41 | $2.45 | $2.33 | $2.38 | 543 418 |
Apr 11, 2024 | $2.40 | $2.44 | $2.32 | $2.41 | 513 037 |
Apr 10, 2024 | $2.34 | $2.45 | $2.31 | $2.40 | 960 916 |
Apr 09, 2024 | $2.53 | $2.56 | $2.39 | $2.45 | 454 575 |
Apr 08, 2024 | $2.36 | $2.51 | $2.34 | $2.49 | 682 301 |
Apr 05, 2024 | $2.36 | $2.38 | $2.24 | $2.34 | 704 072 |
Apr 04, 2024 | $2.34 | $2.49 | $2.34 | $2.35 | 911 468 |
Apr 03, 2024 | $2.30 | $2.37 | $2.30 | $2.34 | 345 856 |
Apr 02, 2024 | $2.26 | $2.32 | $2.26 | $2.31 | 478 547 |
Apr 01, 2024 | $2.39 | $2.46 | $2.32 | $2.33 | 639 661 |
Mar 28, 2024 | $2.32 | $2.45 | $2.32 | $2.44 | 945 459 |
Mar 27, 2024 | $2.23 | $2.34 | $2.22 | $2.33 | 631 037 |
Mar 26, 2024 | $2.25 | $2.32 | $2.22 | $2.22 | 481 428 |
Mar 25, 2024 | $2.22 | $2.29 | $2.21 | $2.22 | 207 869 |
Mar 22, 2024 | $2.28 | $2.28 | $2.14 | $2.22 | 417 958 |
Mar 21, 2024 | $2.18 | $2.28 | $2.17 | $2.26 | 621 945 |
Mar 20, 2024 | $2.04 | $2.20 | $2.04 | $2.18 | 612 109 |
Mar 19, 2024 | $2.01 | $2.07 | $1.97 | $2.06 | 555 882 |
Mar 18, 2024 | $2.03 | $2.05 | $1.99 | $2.00 | 520 337 |
Mar 15, 2024 | $1.99 | $2.03 | $1.98 | $2.01 | 521 346 |
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.