NASDAQ:ADP
Automatic Data Processing Stock Price (Quote)
$310.22
+3.57 (+1.16%)
At Close: Feb 13, 2025
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $287.47 | $311.67 | Thursday, 13th Feb 2025 ADP stock ended at $310.22. This is 1.16% more than the trading day before Wednesday, 12th Feb 2025. During the day the stock fluctuated 1.78% from a day low at $305.00 to a day high of $310.44. |
90 days | $285.48 | $311.67 | |
52 weeks | $231.27 | $311.67 |
Historical Automatic Data Processing prices
Date | Open | High | Low | Close | Volume |
---|---|---|---|---|---|
Feb 13, 2025 | $306.00 | $310.44 | $305.00 | $310.22 | 1 197 627 |
Feb 12, 2025 | $304.14 | $306.75 | $302.81 | $306.65 | 1 558 381 |
Feb 11, 2025 | $307.56 | $307.56 | $304.37 | $305.78 | 660 807 |
Feb 10, 2025 | $308.24 | $308.36 | $306.48 | $306.93 | 811 615 |
Feb 07, 2025 | $310.32 | $310.37 | $305.82 | $305.97 | 1 387 218 |
Feb 06, 2025 | $309.00 | $310.26 | $307.51 | $308.97 | 1 739 649 |
Feb 05, 2025 | $305.63 | $308.20 | $303.94 | $308.15 | 1 631 484 |
Feb 04, 2025 | $304.14 | $305.63 | $303.00 | $304.67 | 1 248 749 |
Feb 03, 2025 | $303.30 | $307.94 | $302.72 | $307.32 | 2 059 667 |
Jan 31, 2025 | $301.79 | $305.10 | $301.18 | $303.01 | 1 730 166 |
Jan 30, 2025 | $301.67 | $307.78 | $301.04 | $303.26 | 1 357 526 |
Jan 29, 2025 | $304.14 | $311.67 | $300.42 | $300.57 | 2 757 817 |
Jan 28, 2025 | $299.96 | $302.55 | $295.68 | $298.31 | 2 413 120 |
Jan 27, 2025 | $295.00 | $301.07 | $294.70 | $300.15 | 1 614 110 |
Jan 24, 2025 | $293.72 | $298.30 | $293.24 | $297.10 | 1 094 400 |
Jan 23, 2025 | $296.24 | $297.18 | $293.68 | $295.80 | 1 086 879 |
Jan 22, 2025 | $297.02 | $298.68 | $296.22 | $296.36 | 1 481 028 |
Jan 21, 2025 | $296.44 | $299.10 | $296.44 | $298.15 | 1 651 713 |
Jan 17, 2025 | $301.09 | $301.09 | $295.99 | $296.18 | 2 404 453 |
Jan 16, 2025 | $291.84 | $297.61 | $291.81 | $296.23 | 1 667 286 |
Jan 15, 2025 | $294.02 | $295.21 | $292.36 | $293.37 | 1 713 418 |
Jan 14, 2025 | $290.30 | $291.87 | $287.47 | $291.69 | 2 317 720 |
Jan 13, 2025 | $285.69 | $290.48 | $285.48 | $290.20 | 1 809 145 |
Jan 10, 2025 | $290.19 | $292.85 | $286.72 | $286.85 | 2 250 644 |
Jan 08, 2025 | $288.51 | $292.05 | $288.51 | $291.89 | 1 474 684 |
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 ADP stock historical prices to predict future price movements?
Trend Analysis: Examine the ADP 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 ADP 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.