Ford Motor Price on August 16, 2019 Breakdown

F -- USA Stock  

USD 8.95  0.30  3.24%

Macroaxis considers Ford Motor to be slightly risky. Ford Motor secures Sharpe Ratio (or Efficiency) of -0.0819 which denotes the organization had -0.0819% of return per unit of risk over the last 3 months. Macroaxis philosophy towards predicting risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. Ford Motor Company exposes twenty-six different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Ford Motor Coefficient Of Variation of (1,243) and Mean Deviation of 1.02 to check risk estimate we provide.

Date Headline

Ford Motor Headline on August 16, 2019

Filed transaction by Ford Motor Co officer. Unconventional Insider trading

Ford Motor Valuation Near August 16, 2019

 Open High Low Close Volume
  9.06    9.06    8.78    8.86    40,682,769  
 08/16/2019 
  8.92    9.00    8.81    8.96    27,355,025  
  9.05    9.10    9.02    9.03    21,837,849  
Backtest Ford Motor  |  Ford Motor History  |  Ford Motor Valuation   PreviousNext  
August 16, 2019
8.92
Open Value
 
8.96
Closing Value
13.80
Upside
 

Ford Motor Trading Date Momentum on August 16, 2019

On August 19 2019 Ford Motor Company was traded for  9.03  at the closing time. The highest price during the trading period was 9.10  and the lowest recorded bid was listed for  9.02 . The volume for the day was 21.8 M. This history from August 19, 2019 contributed to the next trading day price increase. The overall trading delta to the next closing price was 0.78% . The overall trading delta to the current price is 0.89% .

Ford Motor Fundamentals Correlations and Trends

Price Boundaries

Ford Motor Period Price Range

Low
August 16, 2019
High
 8.92 
  
 8.96 
0.04  0.45%

Ford Motor September 20, 2019 Market Strength

Ford Motor Technical and Predictive Indicators

Additionally see Investing Opportunities. Please also try Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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