Closed-End Fund Strategy: Lower Risk, Higher Reward

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Closed-end fund trading strategy

Welcome to our YouTube channel! Discover a highly profitable closed-end fund strategy that minimizes market exposure and significantly reduces drawdowns compared to the traditional buy-and-hold approach. We achieve this by capitalizing on daily price differentials and net asset value variances.

In this video, we'll introduce you to a unique ratio that divides the fund's price by its net asset value, allowing us to execute a more strategic trading approach.

We'll also share our backtest results on the fund with the ticker code ETG, showcasing an impressive equity curve that's the result of 212 trades with an average gain of 0.48%. What's more, our time spent in the market is only 13%, significantly lower than the 74% drawdown experienced with a buy-and-hold strategy.

Stay tuned for more insights and strategies to optimize your investment approach. Don't forget to like, subscribe, and hit the notification bell to keep up with our latest financial content!

You can read more about this in our article that is about the same topic:

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✅ RISK DISCLAIMER
Quantified Strategies (SIA Lofjord) is not an investment advisor. The content and information provided are educational and should not be treated as financial advisory services or investment advice. Trading and investment in securities involve substantial risk of loss and is not recommended for anyone that is not a trained trader or investor – it shall be conducted at your own risk. It is recommended that you never risk more than you are willing to lose. Leverage can lead to substantial losses. Any use of leverage, margin, or shorting is at your discretion. Quantified Strategies (SIA Lofjord) is not responsible for any losses that occur as a result of its content and information.
Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, Since the trades have not been executed, the results may have under or overcompensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs, in general, are also subject to the fact that they are designed with the benefit of hindsight. No representations are made that any account will or is likely to achieve profit or losses similar to those shown.

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