Automatic Data (Brazil) Price on November 19, 2024

ADPR34 Stock  BRL 73.24  0.76  1.03%   
If you're considering investing in Automatic Stock, it is important to understand the factors that can impact its price. As of today, the current price of Automatic Data stands at 73.24, as last reported on the 26th of November, with the highest price reaching 74.13 and the lowest price hitting 72.73 during the day. Automatic Data appears to be very steady, given 3 months investment horizon. Automatic Data Processing secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Automatic Data Processing, which you can use to evaluate the volatility of the firm. Please makes use of Automatic Data's Downside Deviation of 1.49, risk adjusted performance of 0.1619, and Mean Deviation of 0.7892 to double-check if our risk estimates are consistent with your expectations.
  
Automatic Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.1752

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Estimated Market Risk

 1.43
  actual daily
12
88% of assets are more volatile

Expected Return

 0.25
  actual daily
4
96% of assets have higher returns

Risk-Adjusted Return

 0.18
  actual daily
13
87% of assets perform better
Based on monthly moving average Automatic Data is performing at about 13% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automatic Data by adding it to a well-diversified portfolio.

Automatic Data Valuation on November 19, 2024

It is possible to determine the worth of Automatic Data on a given historical date. On November 19, 2024 Automatic was worth 73.08 at the beginning of the trading date compared to the closed value of 73.08. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Automatic Data stock. Still, in general, we apply an absolute valuation method to find Automatic Data's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Automatic Data where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Automatic Data's related companies.
 Open High Low Close Volume
  73.08    73.08    73.08    73.08    1.00  
11/19/2024
  73.08    73.08    73.08    73.08    1.00  
  73.80    73.80    73.80    73.80    69.00  
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Open Value
73.08
73.08
Closing Value
77.37
Upside

Automatic Data Trading Date Momentum on November 19, 2024

On November 21 2024 Automatic Data Processing was traded for  73.80  at the closing time. The highest price during the trading period was 73.80  and the lowest recorded bid was listed for  73.80 . The volume for the day was 69.0. This history from November 21, 2024 contributed to the next trading day price jump. The overall trading delta to the next closing price was 0.99% . The overall trading delta to the current price is 1.44% .

Automatic Data Processing Fundamentals Correlations and Trends

By evaluating Automatic Data's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Automatic financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Automatic Data Stock history

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 Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOMATIC DTDRN operates under Staffing Employment Services classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 58000 people.

Automatic Data Stock Technical Analysis

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.
A focus of Automatic Data technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Automatic Data trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Automatic Data Period Price Range

Low
November 26, 2024
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High

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 0.00 

Automatic Data Processing cannot be verified against its exchange. Please verify the symbol is currently traded on Sao Paulo Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Automatic Data November 26, 2024 Market Strength

Market strength indicators help investors to evaluate how Automatic Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Automatic Data shares will generate the highest return on investment. By undertsting and applying Automatic Data stock market strength indicators, traders can identify Automatic Data Processing entry and exit signals to maximize returns

Automatic Data Technical and Predictive Indicators

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.

Complementary 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.
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