NASDAQ:GOOGL
Google Stock Price (Quote)
$176.06
+1.88 (+1.08%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $150.87 | $176.27 | Friday, 17th May 2024 GOOGL stock ended at $176.06. This is 1.08% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 1.48% from a day low at $173.69 to a day high of $176.27. |
90 days | $130.67 | $176.27 | |
52 weeks | $115.36 | $176.27 |
Date | Open | High | Low | Close | Volume |
Sep 18, 2018 | $1,162.66 | $1,181.33 | $1,161.42 | $1,167.11 | 1 615 701 |
Sep 17, 2018 | $1,177.77 | $1,181.82 | $1,158.45 | $1,159.83 | 1 704 790 |
Sep 14, 2018 | $1,188.00 | $1,188.00 | $1,173.52 | $1,177.98 | 1 208 767 |
Sep 13, 2018 | $1,179.70 | $1,187.86 | $1,169.22 | $1,182.14 | 2 003 418 |
Sep 12, 2018 | $1,182.00 | $1,190.69 | $1,166.16 | $1,171.60 | 1 785 833 |
Sep 11, 2018 | $1,171.10 | $1,190.94 | $1,165.95 | $1,189.99 | 1 462 688 |
Sep 10, 2018 | $1,184.20 | $1,186.66 | $1,170.61 | $1,175.06 | 1 383 938 |
Sep 07, 2018 | $1,172.00 | $1,188.55 | $1,169.27 | $1,177.59 | 1 633 190 |
Sep 06, 2018 | $1,198.57 | $1,198.99 | $1,163.61 | $1,183.99 | 2 342 722 |
Sep 05, 2018 | $1,209.22 | $1,214.87 | $1,175.34 | $1,199.10 | 2 699 394 |
Sep 04, 2018 | $1,222.52 | $1,227.87 | $1,206.56 | $1,211.31 | 2 072 869 |
Aug 31, 2018 | $1,252.21 | $1,252.55 | $1,225.75 | $1,231.80 | 2 115 424 |
Aug 30, 2018 | $1,263.40 | $1,269.49 | $1,247.21 | $1,254.44 | 1 505 219 |
Aug 29, 2018 | $1,255.00 | $1,267.17 | $1,252.80 | $1,264.65 | 1 846 615 |
Aug 28, 2018 | $1,255.90 | $1,256.56 | $1,242.97 | $1,245.86 | 1 366 516 |
Aug 27, 2018 | $1,244.14 | $1,257.87 | $1,240.68 | $1,256.27 | 1 428 992 |
Aug 24, 2018 | $1,226.00 | $1,237.40 | $1,221.42 | $1,236.75 | 1 222 653 |
Aug 23, 2018 | $1,219.88 | $1,235.17 | $1,219.35 | $1,221.16 | 1 233 347 |
Aug 22, 2018 | $1,214.22 | $1,226.53 | $1,213.22 | $1,221.75 | 1 114 832 |
Aug 21, 2018 | $1,223.02 | $1,232.76 | $1,215.03 | $1,217.41 | 1 154 093 |
Aug 20, 2018 | $1,220.66 | $1,225.91 | $1,208.70 | $1,221.95 | 1 111 173 |
Aug 17, 2018 | $1,222.04 | $1,226.95 | $1,204.00 | $1,215.85 | 1 654 629 |
Aug 16, 2018 | $1,241.99 | $1,243.70 | $1,219.63 | $1,224.06 | 1 608 799 |
Aug 15, 2018 | $1,244.28 | $1,251.98 | $1,226.24 | $1,232.22 | 1 852 558 |
Aug 14, 2018 | $1,252.50 | $1,260.59 | $1,239.54 | $1,258.14 | 1 403 991 |
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.