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The Money Pouch efficaciously uses a computer algorithm which eliminates emotion from the investment process. The computer program ranks ETF’s based on a number of technical indicators and then chooses the best ETF’s to hold for the subsequent month.
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Hudson James Investment Management launches The Money Pouch, a wealth management service for high net worth individuals. The Money Pouch charge zero annual management fees for all accounts investing over $250,000. The smaller accounts are still available with a low annual management charge of 0.04% per month. The Money Pouch is also greatly hoping to attract quality investors with a low annual management fee, instead aligning their interests with clients with their performance fee. Importantly The Money Pouch uses algorithms which work on sophisticated momentum strategies to invest in the best and safest ETFs in USD. The investment portfolio is professionally rebalanced approximately once per month, but has human management oversight to step in if stock markets start to head south.
This effective roboadvisor is an online wealth management service that provides automated, algorithm-based portfolio management advice without the use of human financial planners. It reduces costs, emotional errors whilst trading investment and retirement accounts on auto-pilot.
Roboadviser is also so much different where it could choose from a wider range of ETF’s than most roboadvisors. Precisely major investments houses are stuck to investing invest only in their own range of ETF funds ranges. The Money Pouch might invest in any ETF provided by any fund house listed on a major stock exchange, allowing it freedom of choice and independence. It also offers distinct advantage in not being tied down to investing own products, making it more independent of their investment selection.
Hudson James Investment Management has appointed over 400 automated trading systems for some of the largest financial institutions around the globe. The Money Pouch efficaciously uses a computer algorithm which eliminates emotion from the investment process. The computer program ranks ETF’s based on a number of technical indicators and then chooses the best ETF’s to hold for the subsequent month. With this method it almost reduces risk and improves returns for clients. Moreover these rebalanced ETF strategies seek to make positive returns in rising, falling and range-bound markets
The Money Pouch is also greatly focusing soft leverage to target higher returns than most roboadvisers. The firm has been testing their strategies namely as the conservative, balanced and adventurous strategies which had consecutive positive months for the last nine months. As good result the Money Pouch’s three ETF strategies have all beaten the 60% equity 40% bond mix of a typical ETF retirement portfolio since launch.
More likely the back-tested ETF solutions and the live results from the last nine months could be actually seen on the website. It is illustrated that all three strategies have the high ability to hold equities, gold or treasury ETF’s. The proportions invested in each asset class would vary depending on the results produced by the algorithms. The strategies could also permit for a move into cash in the event of a prolonged market downturn.
The Money Pouch expediently specialises in managing ETF strategies. Hudson James is the asset manager for the Money Pouch and primarily holds Separately Managed Accounts (SMA’s). These segregated accounts provide the individual investor complete transparency, flexibility and protection. The client’s assets are therefore ring-fenced and protected by a deposit insurance scheme.
It is affirmed that the minimum investment is only $10,000 which lowers the entry barriers and offers access to a wider, international audience of investors. Altogether The Money pouch is top online wealth service which buys stock and bond ETFs on your behalf automatically. The users could download this app from App Store and Play Store.
You could also watch FREE Masterclass video where you can learn all about ETF investing: