Automatic Data Processing Stock Technical Analysis
| ADP Stock | USD 233.99 0.68 0.29% |
As of the 6th of February, Automatic Data shows the Standard Deviation of 1.24, risk adjusted performance of (0.08), and Mean Deviation of 0.9272. Automatic Data Processing technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices.
Automatic Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Automatic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AutomaticAutomatic | Build AI portfolio with Automatic Stock |
Automatic Data Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 279.79 | Buy | 18 | Odds |
Most Automatic analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Automatic stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Automatic Data Processing, talking to its executives and customers, or listening to Automatic conference calls.
Can Human Resource & Employment Services industry sustain growth momentum? Does Automatic have expansion opportunities? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Automatic Data demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.115 | Dividend Share 6.32 | Earnings Share 10.42 | Revenue Per Share | Quarterly Revenue Growth 0.062 |
Understanding Automatic Data Processing requires distinguishing between market price and book value, where the latter reflects Automatic's accounting equity. The concept of intrinsic value - what Automatic Data's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push Automatic Data's price substantially above or below its fundamental value.
Understanding that Automatic Data's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Automatic Data represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Automatic Data's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Automatic Data 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Automatic Data's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Automatic Data.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Automatic Data on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Automatic Data Processing or generate 0.0% return on investment in Automatic Data over 90 days. Automatic Data is related to or competes with Paychex, Parker Hannifin, Lockheed Martin, General Dynamics, Trane Technologies, 3M, and Northrop Grumman. Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide More
Automatic Data Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Automatic Data's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Automatic Data Processing upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.69 |
Automatic Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automatic Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Automatic Data's standard deviation. In reality, there are many statistical measures that can use Automatic Data historical prices to predict the future Automatic Data's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Automatic Data's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Automatic Data February 6, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.18) | |||
| Mean Deviation | 0.9272 | |||
| Coefficient Of Variation | (859.46) | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.53 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.19) | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.69 | |||
| Skewness | (0.92) | |||
| Kurtosis | 2.75 |
Automatic Data Processing Backtested Returns
Automatic Data Processing secures Sharpe Ratio (or Efficiency) of -0.0963, which signifies that the company had a -0.0963 % return per unit of risk over the last 3 months. Automatic Data Processing exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Automatic Data's Risk Adjusted Performance of (0.08), standard deviation of 1.24, and Mean Deviation of 0.9272 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.79, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Automatic Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Automatic Data is expected to be smaller as well. At this point, Automatic Data Processing has a negative expected return of -0.12%. Please make sure to confirm Automatic Data's skewness, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Automatic Data Processing performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.56 |
Good reverse predictability
Automatic Data Processing has good reverse predictability. Overlapping area represents the amount of predictability between Automatic Data time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Automatic Data Processing price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Automatic Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 68.37 |
Automatic Data technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Automatic Data Processing Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Automatic Data Processing volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Automatic Data Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Automatic Data Processing on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Automatic Data Processing based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Automatic Data Processing price pattern first instead of the macroeconomic environment surrounding Automatic Data Processing. By analyzing Automatic Data's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Automatic Data's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Automatic Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.0226 | 0.0191 | 0.0172 | 0.0148 | Price To Sales Ratio | 5.04 | 6.11 | 5.5 | 5.77 |
Automatic Data February 6, 2026 Technical Indicators
Most technical analysis of Automatic help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Automatic from various momentum indicators to cycle indicators. When you analyze Automatic charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (0.18) | |||
| Mean Deviation | 0.9272 | |||
| Coefficient Of Variation | (859.46) | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.53 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.18) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.19) | |||
| Maximum Drawdown | 7.52 | |||
| Value At Risk | (2.05) | |||
| Potential Upside | 1.69 | |||
| Skewness | (0.92) | |||
| Kurtosis | 2.75 |
Automatic Data February 6, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Automatic stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 75,751 | ||
| Daily Balance Of Power | (0.11) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 235.65 | ||
| Day Typical Price | 235.09 | ||
| Price Action Indicator | (1.99) |
Additional Tools for Automatic Stock Analysis
When running Automatic Data's price analysis, check to measure Automatic Data's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Automatic Data is operating at the current time. Most of Automatic Data's value examination focuses on studying past and present price action to predict the probability of Automatic Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automatic Data's price. Additionally, you may evaluate how the addition of Automatic Data to your portfolios can decrease your overall portfolio volatility.