Now introducing ZulNet: the first listed Philanthropic Algorithmic Currency Hedge Fund to allow investors to make charitable contributions from their management fees and performance fees. 10 % of your contribution toward this campaign will be donated to Oxfam (www.oxfam.org.uk) a development, relief, and campaigning organisation that works to find lasting solutions to poverty and suffering around the world. In return of your contribution toward our launch campaign, we are offering algorithmic trading software, eBook and tablet; to help you to learn and get start in electronic trading of financial market. We wish one day you will be able to build your own investment portfolio in electronic trading of financial market and lead you towards achieving financial prosperity.
Zulnet is an algorithmic currency trading and hedge fund management company. It is looking to raise a listed Philanthropic Algorithmic Currency Hedge Fund on Cayman Island Stock Exchange’s in the final quarter of this year. The listed hedge fund will make an investment using Algorithmic trading system in electronic trading of currency spot or spot FX.
The listed Philanthropic Algorithmic Currency hedge fund is a socially conscious listed hedge fund that allows investors to make charitable contributions from their management fees and performance fees while maintaining control and ownership of their investment. Zulnet the hedge fund manager charges 1.50% in management fees, 20% performance fees and donates annually one-third of the management fee(or 0.50%) and performance fees(or 6.6%) to charities around the world.
In addition, Hedge Fund investor can request to donates one-third of the management fee (or 0.50%) and performance fees (or 6.6%) to specific charities chosen by them.
We want to create a unique way to charitable giving by offering investors a way to get their investment returns and give back to charities at the same time. It is efficient because investor does not have to make a choice between investing for the future and giving to charity. With the a listed Philanthropic Algorithmic Currency Hedge Fund, the more investment make by the investor and higher return on investment produced by investor investment portfolio, the more investor donate to the charity.
The Hedge Fund’s Philanthropic Objective
The Hedge Fund seeks to provide donations on a constant and long-term basis to support charities and philanthropic endeavours around the world.
The Hedge Fund’s Manager Philanthropic Mission
• The Hedge Fund Manager mission is to utilise professional expertise to help other live a better life.
• The Hedge Fund’s Investment Objective
• The Hedge Fund seeks to deliver long-term capital appreciation through compound growth with targeted annual returns on investments above 20%.
Why list the hedge fund on the Cayman Island Stock Exchange’s?
• We want to attract global institutional investor to invest in the listed hedge fund. A listing enhances the marketability of the hedge fund and gives it access to a wider investor base.
• No capital gains taxes or no stamp duty applies to investor that invests in the hedge fund listed on the Cayman Island Stock Exchange’s.
• The Cayman Island Stock Exchange’s does not impose any minimum subscription level for Cayman-domiciled hedge funds.
The Financing
We are seeking to raise £500,000 from contributors.
The Hedge Fund Investment Strategy
Description of the Algorithmic Trading System
The algorithmic trading system is proprietary, algorithmic-based system refers to the application of pre-programmed trading instructions and historical analysis of price patterns to interpret current market behavior and price movements. The algorithmic trading system is the only input for position taking decision and to reduce overall trading risk. The algorithmic trading system identifies when the direction of price movements that based on price patterns may be beginning and enter the market at that point. If rising prices are anticipated, a long position will be established; a short position will be established if prices are expected to fall.
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