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Trust Fund

High Probability Market Assessment

The Trust Fund has a 93% trade-win-rate and has never had a losing month since it's inception in 2016. The strategy takes a low frequency of trades but they are highly accurate, making it one of the most profitable strategies of our portfolio, with the largest returns.

Employing both algorithmic trading and manual market assessment, The Trust Fund has a primary focus on the Foreign Exchange markets, as well as some US Indices and Metal Commodities. Using proprietary information and resources to identify market patterns and breakouts, the strategy involves a low frequency of trades, aiming to capture a large number of points (pips). It is designed to minimize risk by cutting losses early, while allowing profitable trades to run longer and occur more frequently.

The Trust Fund has a robust history of trades with a verifiable track record of a single standing account running since 2016, and a return averaging 12-17% per month. The strategy has an extremely high profitability, while ensuring a balanced and disciplined trading methodology that seeks to manage risk effectively while maximize returns.

Strategy Statistics

Trust Fund

High Probability Market Assessment

Trust Fund

Trading Months: 97
Cumulative Return: 1,493.68%
Monthly Average: 15.39%

FAQs

How many trades per week does the Trust Fund take?

The Trust Fund is a low-frequency trading strategy, averaging only 1-2 trades per week, capturing large swings in the market.

What is the maximum drawdown?

The average drawdown is maintained under 4% throughout the majority of the track record with strict Stop Losses. However, the largest occurrence of drawdown (-32.50%) happened in 2016 when the strategy was in earlier stages of it development and was being traded on a lower equity balance. But since that incident and the algorithms were updated the maximum drawdown has remained controlled.

Is the Trust Fund a manual or algorithmic strategy?

The Trust Fund utilizes a hybrid model of primarily algorithmic trading, but also incorporates some manual interference strategies for risk optimizations and asset-class adjustments based on market conditions and expert insights.

How do you handle unexpected market volatility or black swan events?

We generally avoid trading during periods of extreme volatility, except for highly anticipated market events. In the case of unforeseen black-swan events, our worst-case scenario is hitting our stop loss. We then refrain from re-entering the market or overtrading in an attempt to recover the loss.

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