iPath Bloomberg Price on February 10, 2017 Breakdown

JJE -- USA iPath Bloomberg Energy Subindex Total Return ETN  

USD 6.53  0.01  0.15%

Macroaxis considers iPath Bloomberg to be not too risky. iPath Bloomberg Energy shows Sharpe Ratio of -0.141 which attests that iPath Bloomberg Energy had -0.141% of return per unit of risk over the last 1 month. Macroaxis philosophy towards determining risk of any ipath bloomberg energy subindex total return etn is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators. iPath Bloomberg Energy exposes twenty-one different technical indicators which can help you to evaluate volatility that cannot be diversified away. Please be advised to check out iPath Bloomberg Energy to validate risk estimate we provide.

iPath Bloomberg Valuation Near February 10, 2017

 Open High Low Close Volume
  6.08    6.10    6.07    6.08    65,295  
 02/10/2017 
  6.14    6.14    6.14    6.14    111.00  
  5.99    5.99    5.96    5.96    402.00  
Backtest iPath Bloomberg  |  iPath Bloomberg History  |  iPath Bloomberg Valuation   PreviousNext  
February 10, 2017
6.14
Open Value
 
6.14
Closing Value
Target Odds
  
6.34
Upside
 

iPath Bloomberg Trading Date Momentum on February 10, 2017

On February 13 2017 iPath Bloomberg Energy SubTR ETN was traded for 5.96  at the closing time. Highest iPath Bloomberg's price during the trading hours was 5.99  and the lowest price during the day was  5.96 . The net volume was 402. The overall trading history on 13 of February contributed to the next trading period closing price depreciation. The trading delta at closing time to the next next day price was 2.93% . The trading date delta to current price is 2.93% .

Price Boundaries

iPath Bloomberg Period Price Range

Low
February 10, 2017
High
 6.14 
  
 6.14 
0.00  0.00%

Intraday Indicators

iPath Bloomberg September 21, 2018 Market Strength

Please also check Risk vs Return Analysis. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Search macroaxis.com