NASDAQ:GOOG
Google Stock Price (Quote)
$178.37
+1.63 (+0.92%)
At Close: Jun 14, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $170.97 | $182.08 | Friday, 14th Jun 2024 GOOG stock ended at $178.37. This is 0.92% more than the trading day before Thursday, 13th Jun 2024. During the day the stock fluctuated 1.64% from a day low at $175.85 to a day high of $178.73. |
90 days | $147.01 | $182.08 | |
52 weeks | $115.83 | $182.08 |
Historical Alphabet Inc. prices
Date | Open | High | Low | Close | Volume |
Feb 04, 2019 | $1,112.66 | $1,132.80 | $1,109.02 | $1,132.80 | 2 576 470 |
Feb 01, 2019 | $1,112.40 | $1,125.00 | $1,104.89 | $1,110.75 | 1 462 208 |
Jan 31, 2019 | $1,103.00 | $1,117.33 | $1,095.41 | $1,116.37 | 1 538 324 |
Jan 30, 2019 | $1,068.43 | $1,091.00 | $1,066.85 | $1,089.06 | 1 279 822 |
Jan 29, 2019 | $1,072.68 | $1,075.15 | $1,055.86 | $1,060.62 | 1 021 819 |
Jan 28, 2019 | $1,080.11 | $1,083.00 | $1,063.80 | $1,070.08 | 1 284 281 |
Jan 25, 2019 | $1,085.00 | $1,094.00 | $1,081.82 | $1,090.99 | 1 119 216 |
Jan 24, 2019 | $1,076.48 | $1,079.47 | $1,060.70 | $1,073.90 | 1 361 673 |
Jan 23, 2019 | $1,077.35 | $1,084.93 | $1,059.75 | $1,075.57 | 966 956 |
Jan 22, 2019 | $1,088.00 | $1,091.51 | $1,063.47 | $1,070.52 | 1 613 527 |
Jan 18, 2019 | $1,100.00 | $1,108.35 | $1,090.90 | $1,098.26 | 1 955 559 |
Jan 17, 2019 | $1,079.47 | $1,091.80 | $1,073.50 | $1,089.90 | 1 242 664 |
Jan 16, 2019 | $1,080.00 | $1,092.38 | $1,079.34 | $1,080.97 | 1 331 819 |
Jan 15, 2019 | $1,050.17 | $1,080.05 | $1,047.34 | $1,077.15 | 1 463 570 |
Jan 14, 2019 | $1,046.92 | $1,051.53 | $1,041.26 | $1,044.69 | 1 144 263 |
Jan 11, 2019 | $1,063.18 | $1,063.78 | $1,048.48 | $1,057.19 | 1 520 756 |
Jan 10, 2019 | $1,067.66 | $1,071.15 | $1,057.71 | $1,070.33 | 1 456 421 |
Jan 09, 2019 | $1,081.65 | $1,082.63 | $1,066.40 | $1,074.66 | 1 199 272 |
Jan 08, 2019 | $1,076.11 | $1,084.56 | $1,060.53 | $1,076.28 | 1 765 267 |
Jan 07, 2019 | $1,071.50 | $1,074.00 | $1,054.76 | $1,068.39 | 1 981 874 |
Jan 04, 2019 | $1,032.59 | $1,070.84 | $1,027.42 | $1,070.71 | 2 093 894 |
Jan 03, 2019 | $1,041.00 | $1,056.98 | $1,014.07 | $1,016.06 | 1 841 066 |
Jan 02, 2019 | $1,016.57 | $1,052.32 | $1,015.71 | $1,045.85 | 1 532 608 |
Dec 31, 2018 | $1,050.96 | $1,052.70 | $1,023.59 | $1,035.61 | 1 493 722 |
Dec 28, 2018 | $1,049.62 | $1,055.56 | $1,033.10 | $1,037.08 | 1 413 772 |
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.