NASDAQ:GOOG
Google Stock Price (Quote)
$173.96
+0.400 (+0.230%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $164.90 | $179.95 | Friday, 31st May 2024 GOOG stock ended at $173.96. This is 0.230% more than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 2.02% from a day low at $170.97 to a day high of $174.42. |
90 days | $131.55 | $179.95 | |
52 weeks | $115.83 | $179.95 |
Historical Alphabet Inc. prices
Date | Open | High | Low | Close | Volume |
May 19, 2015 | $533.98 | $540.66 | $533.04 | $537.36 | 1 966 947 |
May 18, 2015 | $532.01 | $534.82 | $528.85 | $532.30 | 2 003 421 |
May 15, 2015 | $539.18 | $539.27 | $530.38 | $533.85 | 1 971 343 |
May 14, 2015 | $533.77 | $539.00 | $532.41 | $538.40 | 1 403 935 |
May 13, 2015 | $530.56 | $534.32 | $528.66 | $529.62 | 1 253 063 |
May 12, 2015 | $531.60 | $533.21 | $525.26 | $529.04 | 1 634 174 |
May 11, 2015 | $538.37 | $541.98 | $535.40 | $535.70 | 905 285 |
May 08, 2015 | $536.65 | $541.15 | $536.00 | $538.22 | 1 527 615 |
May 07, 2015 | $523.99 | $533.46 | $521.75 | $530.70 | 1 546 278 |
May 06, 2015 | $531.24 | $532.38 | $521.09 | $524.22 | 1 566 987 |
May 05, 2015 | $538.21 | $539.74 | $530.39 | $530.80 | 1 383 068 |
May 04, 2015 | $538.53 | $544.07 | $535.06 | $540.78 | 1 307 960 |
May 01, 2015 | $538.43 | $539.54 | $532.10 | $537.90 | 1 768 181 |
Apr 30, 2015 | $547.87 | $548.59 | $535.05 | $537.34 | 2 082 214 |
Apr 29, 2015 | $550.47 | $553.68 | $546.91 | $549.08 | 1 698 761 |
Apr 28, 2015 | $554.64 | $556.02 | $550.37 | $553.68 | 1 490 983 |
Apr 27, 2015 | $563.39 | $565.95 | $553.20 | $555.37 | 2 398 039 |
Apr 24, 2015 | $566.10 | $571.14 | $557.25 | $565.06 | 4 919 031 |
Apr 23, 2015 | $541.00 | $550.96 | $540.23 | $547.00 | 4 173 376 |
Apr 22, 2015 | $534.40 | $541.08 | $531.75 | $539.37 | 1 589 248 |
Apr 21, 2015 | $537.51 | $539.39 | $533.68 | $533.97 | 1 839 668 |
Apr 20, 2015 | $525.60 | $536.09 | $524.50 | $535.38 | 1 675 487 |
Apr 17, 2015 | $528.66 | $529.84 | $521.01 | $524.05 | 2 145 955 |
Apr 16, 2015 | $529.90 | $535.59 | $529.61 | $533.80 | 1 296 304 |
Apr 15, 2015 | $528.70 | $534.73 | $523.22 | $532.53 | 2 312 512 |
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.