NASDAQ:GOOG
Google Stock Price (Quote)
$155.50
-3.18 (-2.00%)
At Close: Apr 16, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $142.66 | $172.91 | Wednesday, 16th Apr 2025 GOOG stock ended at $155.50. This is 2.00% less than the trading day before Tuesday, 15th Apr 2025. During the day the stock fluctuated 2.77% from a day low at $153.91 to a day high of $158.18. |
90 days | $142.66 | $208.70 | |
52 weeks | $142.66 | $208.70 |
Historical Alphabet Inc. prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Apr 16, 2025 | $155.48 | $158.18 | $153.91 | $155.50 | 16 572 880 |
Apr 15, 2025 | $161.50 | $162.03 | $157.65 | $158.68 | 15 539 876 |
Apr 14, 2025 | $162.42 | $164.03 | $159.92 | $161.47 | 18 095 109 |
Apr 11, 2025 | $155.59 | $159.85 | $155.59 | $159.40 | 22 272 732 |
Apr 10, 2025 | $158.76 | $160.03 | $152.20 | $155.37 | 34 754 488 |
Apr 09, 2025 | $146.35 | $161.87 | $145.82 | $161.06 | 46 063 012 |
Apr 08, 2025 | $153.58 | $154.44 | $145.21 | $146.58 | 34 864 314 |
Apr 07, 2025 | $143.39 | $154.92 | $142.66 | $149.24 | 47 657 751 |
Apr 04, 2025 | $149.90 | $153.09 | $147.55 | $147.74 | 39 449 871 |
Apr 03, 2025 | $152.84 | $154.69 | $152.18 | $152.63 | 28 330 311 |
Apr 02, 2025 | $156.96 | $160.28 | $156.53 | $158.86 | 16 144 282 |
Apr 01, 2025 | $155.26 | $160.08 | $155.26 | $158.88 | 20 084 139 |
Mar 31, 2025 | $154.90 | $157.12 | $152.21 | $156.23 | 33 505 456 |
Mar 28, 2025 | $162.37 | $163.81 | $155.36 | $156.06 | 34 786 595 |
Mar 27, 2025 | $166.72 | $167.44 | $163.85 | $164.08 | 21 529 133 |
Mar 26, 2025 | $171.28 | $171.94 | $166.86 | $167.14 | 22 384 568 |
Mar 25, 2025 | $171.22 | $172.91 | $170.56 | $172.79 | 13 803 567 |
Mar 24, 2025 | $169.27 | $170.18 | $167.44 | $169.93 | 18 667 259 |
Mar 21, 2025 | $163.32 | $166.47 | $163.05 | $166.25 | 29 408 884 |
Mar 20, 2025 | $163.83 | $167.03 | $163.14 | $165.05 | 19 707 069 |
Mar 19, 2025 | $163.92 | $168.13 | $163.06 | $166.28 | 24 851 487 |
Mar 18, 2025 | $165.96 | $166.44 | $158.80 | $162.67 | 24 573 811 |
Mar 17, 2025 | $167.33 | $168.44 | $165.81 | $166.57 | 17 761 439 |
Mar 14, 2025 | $165.32 | $168.25 | $164.51 | $167.62 | 18 312 223 |
Mar 13, 2025 | $168.00 | $168.12 | $164.07 | $164.73 | 15 092 016 |
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.