Ford Motor Volatility Indicators Average True Range Overview

F -- USA Stock  

USD 10.82  0.05  0.46%

Ford Motor volatility-indicators tool provides you with the Volatility Indicators execution environment for running Average True Range indicator against Ford Motor. Ford Motor volatility indicators enable investors to predict price movements based on how different True Range indicators change over time. Please specify Time Period to run this model.
 Time Horizon     30 Days    Login   to change
Symbol
Refresh

Indicator
Time Period
  Portfolio Analysis  Performance  Ford Motor Market Risk Analysis  
  
Execute Indicator
 
The output start index for this execution was six 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 Ford Motor volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.

Additional Technical Research

Thematic Opportunities

Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
Explore Thematic Ideas
Explore Investing Ideas  

Current Thematic Trending

Baby Boomer Prospects
Purchased few shares
Traded few hours ago for 79.19
PowerShares QQQ ETF
Purchased few shares
Traded few hours ago for 179.93
Investor Favorites
Purchased few shares
Traded few hours ago for 281.04
Basic Utilities
Sold one share
Traded few hours ago for 42.84
Dividend Beast
Purchased over 90 shares
Traded few hours ago for 45.12
Dividend Beast
Purchased over 90 shares
Traded few hours ago for 61.59
Additionally see Investing Opportunities. Please also try Pattern Recognition module to use different pattern recognition models to time the market across multiple global exchanges.