NASDAQ:GOOG
Google Stock Price (Quote)
$175.43
+1.55 (+0.89%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $152.77 | $176.40 | Thursday, 16th May 2024 GOOG stock ended at $175.43. This is 0.89% more than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 1.32% from a day low at $174.05 to a day high of $176.34. |
90 days | $131.55 | $176.40 | |
52 weeks | $115.83 | $176.40 |
Date | Open | High | Low | Close | Volume |
Jan 31, 2023 | $97.86 | $99.91 | $97.79 | $99.87 | 22 203 457 |
Jan 30, 2023 | $98.75 | $99.41 | $97.52 | $97.95 | 23 825 662 |
Jan 27, 2023 | $99.05 | $101.58 | $98.97 | $100.71 | 29 124 650 |
Jan 26, 2023 | $98.28 | $99.21 | $96.82 | $99.16 | 24 147 936 |
Jan 25, 2023 | $97.20 | $97.72 | $95.26 | $96.73 | 30 918 839 |
Jan 24, 2023 | $99.55 | $101.09 | $98.70 | $99.21 | 26 968 523 |
Jan 23, 2023 | $99.13 | $101.40 | $98.75 | $101.21 | 31 726 229 |
Jan 20, 2023 | $95.95 | $99.42 | $95.91 | $99.28 | 53 704 763 |
Jan 19, 2023 | $91.39 | $94.40 | $91.38 | $93.91 | 29 207 906 |
Jan 18, 2023 | $92.94 | $93.59 | $91.40 | $91.78 | 19 641 622 |
Jan 17, 2023 | $92.78 | $92.97 | $90.84 | $92.16 | 22 935 823 |
Jan 13, 2023 | $91.53 | $92.98 | $90.93 | $92.80 | 18 630 709 |
Jan 12, 2023 | $92.40 | $92.62 | $90.57 | $91.91 | 22 754 216 |
Jan 11, 2023 | $90.06 | $92.45 | $89.74 | $92.26 | 25 998 844 |
Jan 10, 2023 | $86.72 | $89.48 | $86.70 | $89.24 | 22 855 600 |
Jan 09, 2023 | $89.20 | $90.83 | $88.58 | $88.80 | 22 996 700 |
Jan 06, 2023 | $87.36 | $88.47 | $85.57 | $88.16 | 26 604 400 |
Jan 05, 2023 | $88.07 | $88.21 | $86.56 | $86.77 | 21 889 112 |
Jan 04, 2023 | $91.01 | $91.24 | $87.80 | $88.71 | 26 943 671 |
Jan 03, 2023 | $89.83 | $91.55 | $89.02 | $89.70 | 20 038 019 |
Dec 30, 2022 | $87.37 | $88.83 | $87.03 | $88.73 | 19 077 209 |
Dec 29, 2022 | $87.03 | $89.37 | $86.99 | $88.95 | 18 142 496 |
Dec 28, 2022 | $87.50 | $88.52 | $86.37 | $86.46 | 17 705 307 |
Dec 27, 2022 | $89.31 | $89.50 | $87.54 | $87.93 | 15 434 060 |
Dec 23, 2022 | $87.62 | $90.10 | $87.62 | $89.81 | 17 777 275 |
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 GOOG stock historical prices to predict future price movements?
Trend Analysis: Examine the GOOG 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 GOOG 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.