Napston Launches 100% Automated Cryptocurrency Trading Platform based on Proprietary Distributed Artificial Neural Networks Technology

Cryptocurrency
trading is all set to become safe and profitable like never before, with the recent
launch of a fully automated crypto trading platform by Napston. This
groundbreaking trading platform is based on a proprietary technology called
Distributed Artificial Neural Networks that has been programmed to accurately
predict the market by utilizing the processing power from thousands of
independent sources. 

Hong Kong, December
17, 2018

Napston is
pleased to announce that their new, fully automated cryptocurrency trading
platform has recently gone live. Built around the company’s proprietary Distributed
Artificial Neural Networks, Napston creates an opportunity even for the
inexperienced crypto enthusiasts to earn a decent passive interest on their
Bitcoin and Ethereum holdings.  

Since the
creation of bitcoin in 2009, over three hundred different cryptocurrencies have
been launched. As a result of the extreme volatility of the crypto market,
trading of cryptocurrencies has emerged as a lucrative alternative for the
traders around the world. However, this can be an extremely complex and risky proposition
without a trustworthy trading platform.

Napston
entered the cryptocurrency space in 2013, long before it became mainstream.
Over the last five years, the company has been through all the uncertainties
and fluctuations of this evolving market. During this phase, Napston was
serving only the larger corporate and high net worth individual customers,
helping them properly structure and trade their cryptocurrency portfolios. They
have spent a high percentage of profits to build the proprietary Distributed
Artificial Neural Networks technology. This advanced technology has now formed
the foundation of Napston’s automated crypto trading platform.

A DANN is a
network of nodes, just like neural networks in the human brain. They are
programmed to predict the market with a high degree of accuracy. This accuracy,
however, depends entirely on the processing power available. This problem has
been addressed by utilizing the computing power generated by a large and highly
distributed network of computers.

Some of the
most lucrative trading benefits offered by Napston are

  • Up
    to 1.5% per business day without actually doing any trades
  • Instant
    withdrawals
  • Referral
    incentives over 20%, up to 10 levels
  • Get
    started in 30 seconds
  • Full
    transparency and detailed reporting
  • State-of-the-art
    security across the platform
  • Full
    compliance

Napston is
currently offering three attractive trading packages that can be purchased with
Bitcoin and Ethereum. Generous referral commissions are also up for grabs.
Mentioned below are the three packages at a glance.

  • Starter:
    Minimum $100 in Bitcoin, 1% per day, for 150 days, 3 level referral system
  • Advanced:
    Minimum $1000 in Bitcoin, 1.25 % per day, for 150 days, 5 level referral
    system
  • Expert:
    Minimum $5000 in Bitcoin, 1.50 % per day, for 150 days, 10 level referral
    system

“Our just
launched trading platform is only about helping you earn the profit on your
otherwise dormant Bitcoins or Ethereum without breaking a sweat yourself, “
said a senior spokesperson from Napston. “We believe there’s serious demand for
that and the customers who have already joined us prove that vision.”

To find outmore, please visit https://www.napston.com/

About
Napston: Napston is a just launched cryptocurrency trading platform built on a
proprietary technology called Distributed Artificial Neural Networks. This 100%
automated platform is dedicated to helping individuals earn a decent passive
interest from their dormant Bitcoin and Ethereum holdings with minimum skill
and effort. Napston currently offers three trading packages, offering 1.5% per
day and over 20% referral incentives.

Contact:
Alex Kenney

Email:
alex.kenney@napston.com

Napston Launches 100% Automated Cryptocurrency Trading Platform based on Proprietary Distributed Artificial Neural Networks Technology 2

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