iPathA Series Profile



Odds of Distress

Check how we calculate scores
Equity ratings for iPathA Series B Bloomberg Preci are calculated based on Macroaxis scoring framework. The performance scores are derived for the period starting June 22, 2019 and ending today August 21, 2019. Click here to learn more.
USD 0.61  1.15%

iPathA Series Summary

iPathA Series B Bloomberg Preci [JJP] is traded in USA and was established 2018-01-17. The fund is classified under Commodities Precious Metals category within Milleis Investissements Funds family. iPathA Series B currently have 4.96M in assets under management (AUM). , while the total return for the last year was 12.09%.
Check iPathA Series Probability Of Bankruptcy

Sector Allocation (%)

iPathA Series Major Institutional Holders

InstituionSecurity TypeTotal SharesValue
Baystate Wealth Management LlcFund Units100.05 K
View iPathA Series Diagnostics

iPathA Series Key Fundamentals

iPathA Series Against Markets

iPathA Series Vital Trading Data

The investment seeks return linked to the performance of the Bloomberg Precious Metals Subindex Total ReturnSM. iPathA Series is traded on BATS Exchange in USA. more
NameiPathA Series B Bloomberg Preci
CEOAshok VaswaniView All
Macroaxis Advice
InstrumentUSA Etf View All
Investment IssuerBarclays
ExchangeBATS Exchange
Etf FamilyMilleis Investissements Funds
Fund CategoryPrecious Metals
Portfolio ConcentrationBroad Precious Metals
Phone212 528 7790
CurrencyUSD - US Dollar
DescriptioniPath Dow Jones-UBS Precious Metals Subindex Total ReturnSM ETN
Inception Date2018-01-17
Entity TypeExchange-Traded Note
Asset Under Management5.26 Million
Average Trading Valume553.8
Asset TypeCommodities
CategoryPrecious Metals
FocusBroad Precious Metals
Market ConcentrationBlended Development
ExchangeNYSE Arca
Nav Price54.22
Two Hundred Day Average48.1
Average Daily Volume In Three Month257
Fifty Two Week Low43.19
As Of DateJuly 31, 2019
Average Daily Volume Last 10 Day300
Fifty Two Week High54.4
One Month1.40%
Fifty Day Average51.22
Three Month9.48%
Please also check Risk vs Return Analysis. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Search macroaxis.com