NASDAQ:GOOGL
Google Stock Price (Quote)
$176.92
+0.86 (+0.488%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $150.87 | $178.77 | Monday, 20th May 2024 GOOGL stock ended at $176.92. This is 0.488% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 1.53% from a day low at $176.08 to a day high of $178.77. |
90 days | $130.67 | $178.77 | |
52 weeks | $115.36 | $178.77 |
Date | Open | High | Low | Close | Volume |
Oct 24, 2018 | $1,115.00 | $1,116.62 | $1,055.06 | $1,057.12 | 2 464 295 |
Oct 23, 2018 | $1,091.29 | $1,118.00 | $1,079.01 | $1,114.91 | 1 884 255 |
Oct 22, 2018 | $1,112.51 | $1,121.69 | $1,100.00 | $1,111.37 | 1 355 842 |
Oct 19, 2018 | $1,103.71 | $1,120.95 | $1,097.03 | $1,105.18 | 2 064 289 |
Oct 18, 2018 | $1,130.00 | $1,132.35 | $1,086.34 | $1,097.91 | 2 307 596 |
Oct 17, 2018 | $1,140.00 | $1,147.00 | $1,114.00 | $1,127.59 | 1 782 614 |
Oct 16, 2018 | $1,113.48 | $1,136.37 | $1,111.75 | $1,133.08 | 1 918 879 |
Oct 15, 2018 | $1,118.00 | $1,121.80 | $1,098.22 | $1,102.44 | 1 503 956 |
Oct 12, 2018 | $1,119.64 | $1,125.83 | $1,095.03 | $1,120.54 | 2 468 920 |
Oct 11, 2018 | $1,079.04 | $1,116.06 | $1,075.89 | $1,090.74 | 3 384 775 |
Oct 10, 2018 | $1,136.40 | $1,137.02 | $1,091.51 | $1,092.16 | 2 949 006 |
Oct 09, 2018 | $1,151.31 | $1,161.55 | $1,144.17 | $1,145.17 | 1 684 728 |
Oct 08, 2018 | $1,160.00 | $1,175.86 | $1,135.40 | $1,155.92 | 2 309 539 |
Oct 05, 2018 | $1,176.00 | $1,182.00 | $1,154.32 | $1,167.83 | 1 593 012 |
Oct 04, 2018 | $1,205.03 | $1,205.90 | $1,163.85 | $1,177.07 | 2 328 778 |
Oct 03, 2018 | $1,212.00 | $1,214.18 | $1,202.15 | $1,211.53 | 1 312 686 |
Oct 02, 2018 | $1,206.67 | $1,224.52 | $1,199.66 | $1,207.64 | 2 008 956 |
Oct 01, 2018 | $1,213.00 | $1,224.20 | $1,203.19 | $1,208.53 | 1 659 364 |
Sep 28, 2018 | $1,204.09 | $1,208.45 | $1,197.83 | $1,207.08 | 1 780 759 |
Sep 27, 2018 | $1,200.00 | $1,216.86 | $1,198.05 | $1,207.36 | 1 813 652 |
Sep 26, 2018 | $1,193.69 | $1,207.24 | $1,185.40 | $1,194.06 | 1 882 524 |
Sep 25, 2018 | $1,184.25 | $1,196.86 | $1,174.09 | $1,193.89 | 1 657 809 |
Sep 24, 2018 | $1,159.41 | $1,185.19 | $1,151.50 | $1,179.56 | 1 557 479 |
Sep 21, 2018 | $1,194.92 | $1,196.58 | $1,172.06 | $1,172.12 | 4 561 119 |
Sep 20, 2018 | $1,180.67 | $1,194.00 | $1,176.25 | $1,191.57 | 1 462 455 |
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 GOOGL stock historical prices to predict future price movements?
Trend Analysis: Examine the GOOGL 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 GOOGL 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.