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NESTLE SA Price on January 20, 2020 Breakdown

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NSRGF -- USA Stock  

USD 109.90  5.17  4.94%

We consider NESTLE SA very steady. NESTLE SA has Sharpe Ratio of 0.0647 which conveys that the firm had 0.0647% of return per unit of standard deviation over the last 3 months. Our approach into estimating volatility of a stock is to use all available market data together with stock specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for NESTLE SA which you can use to evaluate future volatility of the firm. Please verify NESTLE SA Risk Adjusted Performance of 0.0509, Market Risk Adjusted Performance of (0.61) and Mean Deviation of 0.9904 to check out if risk estimate we provide are consistent with the epected return of 0.0905%.

NESTLE SA Valuation Near January 20, 2020

 Open High Low Close Volume
  108.97    109.07    108.97    109.02    1.00  
 01/20/2020 
  108.97    109.07    108.97    109.02    1.00  
  109.02    115.82    109.02    112.42    1.00  
Backtest NESTLE SA  |  NESTLE SA History  |  NESTLE SA Valuation   PreviousNext  
Open Value
108.97
January 20, 2020
 
104.78
Downside
109.02
Closing Value
113.16
Upside
 

NESTLE SA Trading Date Momentum on January 20, 2020

On January 21 2020 NESTLE SA was traded for  112.42  at the closing time. The highest daily price throughout the period was 115.82  and the lowest price was  109.02 . There was no trading activity during the period 1.0. Lack of trading volume on 01/21/2020 added to the next day closing price rise. The trading delta at closing time to closing price of the next trading day was 3.12% . The trading delta at closing time to current closing price is 2.19% .

NESTLE SA Fundamentals Correlations and Trends

Price Boundaries

NESTLE SA Period Price Range

Low
January 20, 2020
High
 108.97 
  
 109.02 
0.050.045884%

NESTLE SA February 17, 2020 Market Strength

NESTLE SA Technical and Predictive Indicators

Additionally see Stocks Correlation. Please also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.
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