As people are watching the new hedge fund presentation that I am setting up at (https://branchpointfunds.com/), investors are asking to learn more about the machine learning model and how it works. There are two public videos that basically outline the machine learning model I use and teach you the basics behind it
You can try to start watching in the mid way point of the video where I start going through the machine learning concepts and how that is applied to investing.
To invest in my machine learning hedge fund, you would need a net worth of $2.7 million excluding your primary home. You can learn more about it here:https://branchpointfunds.com/ Cheers,
Eric
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Eric Seto
Chartered Professional Accountant (CPA)
Chartered Investment Manager (CIM)
Whether or you are retiring with $50K, $100K, $300K or more, it is important to figure out the right strategy for you.
For people with lots of capital, they can afford to throw it all into CDs / GICs and earn a low 2-3% return.
However, if you are looking to generate cashflow with a few hundred thousand, then you would need to look deeper
You need to find a more capital efficient strategy and still achieve your target monthly cashflow (for retirement or simply working less)
In Investing Accelerator, you will learn two strategies:
First, we focus on buying options to buy discounted stocks to multiply our profits for long term gains
Second, we focus on selling options to generate interest premium which serves as a more predictable stream of cashflow
We use these strategies on blue chip companies like Apple, Microsoft, Visa, Mastercard etc
We place 1 trade a week for monthly passive income to smooth out our cashflow
This allows us to split the portfolio into 2 parts
- Low risk low return with index funds or bonds
- Higher return higher risk cashflow generating option strategy
Disclaimer: This communication is provided for educational and informational purposes only and does not constitute investment advice, a recommendation, or an offer to invest in any fund or strategy. No advisory relationship is formed by receipt of this content. Any references to strategies or markets are general in nature and do not reflect the performance of any client account or investment product.