Recently Launched!
Check out Investor Copilot custom GPT, which lets you enjoy ChatGPT functionality with recent financial information
Conversationally interact with ChatGPT to now analyze updated prices, technical indicators, financial statements, macro-economic/company news & more for Stocks, ETFs & Cryptos
Conversationally interact with ChatGPT to now analyze updated prices, technical indicators, financial statements, macro-economic/company news & more for Stocks, ETFs & Cryptos
OSC Indicator for [ADP] Automatic Data Processing, Inc.
Data updated 2024-Dec-17 (Tuesday)Analyze current daily levels of Fast & Slow Stochastic Oscillator indicator for Automatic Data Processing, Inc. . Technicals are widely used by investors to gauge performance, momentum etc. See Guide for further details . To compare technicals across stocks/etfs/crypto visit technical summary . Also, view daily frequency distribution of bullish/bearish technical signals (e.g. RSI, MACD etc.) with technical sentiment report to gauge changes in aggregate across the market or a particular sector
Share
Use widget to view Technicals for other Stocks/ETFs/Indices
Compare Technicals for Automatic Data Processing, Inc. with other stocks/etfs/crypto in a side-by-side presentation using this widget
Choose Technical Indicator to analyze
Recent Technical Indicator history for Automatic Data Processing, Inc. use daily Fast & Slow Stochastic Oscillator (OSC) values as of Last Close (2024-Dec-17). See additional information below on calculation, interpretation etc.
Fast & Slow Stochastic Oscillator
Calculation Methodology:
Detailed calculation steps are provided in the Reference links. Values are adjusted for splits (if applicable)
Fast Stochastic Oscillator is calculated using 14-period range to calculate %K and 3-period Simple Moving Average (SMA) to calculate %D.
Slow Stochastic oscillator is calculated using the %D from earlier as Slow K and Slow D is calculated by futher applying a 3-period SMA on the Slow K(%D)
Slow Stochastic oscillator is calculated using the %D from earlier as Slow K and Slow D is calculated by futher applying a 3-period SMA on the Slow K(%D)
Detailed calculation steps are provided in the Reference links. Values are adjusted for splits (if applicable)
How to use this indicator:
Interpretation above is not comprehensive but rather just a starting point of understanding. Experienced market professionals typically use a combination of different datapoints to drive decisions. Use additional links in the References section for more details
Stochastic Oscillator is a price momentum oscillator used to track overbought (>80) and oversold (<20) levels by analyzing close level compared to the 14-day range. Indications are bullish when oscillator goes below 20 and then back above 20 (conversely, bearish when it goes above 80 and then below 80) Intersections of the oscillators is used as a signal of impending reversal as the momentum is shifting (Fast Stochastic Oscillators intersect more than Slow Stochastics by definition and therefore more likely to produce false signals) Reversal is also indicated by divergence between the oscillator and price action (e.g. Bullish divergence when oscillator hits a higher low while price hits a lower low; Bearish divergence when price makes a higher high while oscillator forms a lower high).
Stochastic Oscillator is considered more effective in sideways markets with broad trading ranges or slow-moving trends. Stochastic Oscillators can sometimes stay overbought/oversold for extended periods in a strong trend. Also, Stochastic oscillators can produce false signals in volatile markets
Stochastic Oscillator is considered more effective in sideways markets with broad trading ranges or slow-moving trends. Stochastic Oscillators can sometimes stay overbought/oversold for extended periods in a strong trend. Also, Stochastic oscillators can produce false signals in volatile markets
Interpretation above is not comprehensive but rather just a starting point of understanding. Experienced market professionals typically use a combination of different datapoints to drive decisions. Use additional links in the References section for more details
What about other technicals?
There are many technicals and many different settings for even the above indicators like different moving average periods selected for example. We however show only popular technical indicators with the most common configuration because they have historically gained acceptance as being the most useful. Mastering interpretation of these indicators will serve most investors well without adding clutter or noise from a large selection of less common indicators/settings. Email us if you strongly feel that there are other indicators worth adding
Frequency distribution of daily Slow Stochastic values from 2022-Dec-19. Latest Slow Stochastic value is 14.1 as of 2024-Dec-17. Longer frequency distribution of Slow Stochastic also available (5-year deciles linked below chart)
OSC Deciles
OSC Deciles
ADP : Key Technicals 2024-Dec-17 Tuesday
| AD | 961 Million | ADX | 18.7 |
|---|---|---|---|
| ATR | 4.2 | CCI | -121.1 |
| MACD | -1.46 | OBV | 426 Million |
| OSC | 7.0 14.1 | RSI | 42 |
Related to Automatic Data Processing, Inc.
Information for Automatic Data Processing, Inc.
Current Detail : Recent daily/monthly performance & benchmark comparison
Historical Detail : Historical performance & related information using Time Machine
Financial Statements : Analyze Income Statement, Balance Sheet & Cashflow Statement and also compare with peers
Bayesian Statement Classifier : Investigate historical financial statements to make probabalistic predictions using Artificial Intelligence
Anomaly Detection : Investigate unusual recent performance & technicals with historical context using AI
Historical Seasonality : Seasonal performance by calendar months
Dividend History : History of Dividend Yield
Technical History : Popular Technical indicator trends (RSI, MACD etc.) Currently Viewing
Metric Deciles : Contextualizing recent performance & technical levels into historical decile buckets
Dollar Cost Averaging : Dollar Cost Average (DCA) over time in your portfolio
Moving Averages : Key Simple & Exponential Moving Averages
Historical Analogues : Insights from closest historical matches to recent performance using Artificial Intelligence
Chart Pattern Matching : Insights from similar historical charts to recent chart using Artificial Intelligence
News Stories : News stories on 2024-Dec-17 on Google
SEC Reports : Quarterly reports around 2024-Dec-17 on SEC Edgar
Compare Automatic Data Processing, Inc. with other assets
Market Performance : Recent performance across covered assets
Historical Performance : Prior & Subsequent performance across assets on a historical date
Market Technicals : Technical indicator levels across covered assets
Market Seasonality : Seasonal performance by calendar months across covered assets
Pair Correlations : Performance Correlations with other assets
Beta : Volatility relative to the broad market
Performance Comparison : Visually compare/benchmark performance with other assets over time
Side-by-Side Comparison : Contrast with other assets over time in a side-by-side presentation
Sector : Information Technology sector performance which includes Automatic Data Processing, Inc.
Industry : Fin Tech industry performance which includes Automatic Data Processing, Inc.