Automatic Data Processing Stock Price History

Automatic Data Stock Price History Chart

Automatic Data February 26, 2025 Stock Price Synopsis

Various analyses of Automatic Data's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Automatic Stock. It can be used to describe the percentage change in the price of Automatic Data from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Automatic Stock. When benchmark price declines in a down market, there may be an uptick in Automatic Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Automatic Data intraday prices and daily technical indicators to check the level of noise trading in Automatic Stock and then apply it to test your longer-term investment strategies against Automatic.

Automatic Stock Price History Data

The price series of Automatic Data for the period between Thu, Nov 28, 2024 and Wed, Feb 26, 2025 has a statistical range of 26.52 with a coefficient of variation of 2.4. The prices are distributed with arithmetic mean of 299.8. The median price for the last 90 days is 298.31. The company had 1139:1000 stock split on 1st of October 2014. Automatic Data Processing issued dividends on 2025-03-14.

Automatic Data investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Automatic is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Automatic Data Processing will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Automatic Data stock prices may prove useful in developing a viable investing in Automatic Data

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.

Predictive indicators are helping investors to find signals for Automatic Data's price direction in advance. Along with the technical and fundamental analysis of Automatic Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Automatic to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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.