Algorithmic Trading: Hedge Fund Model- Daily Re-Adjustment Swing Trading

Algorithmic Trading

Following the development of Dr. Lipa Roitman’s understanding of relying on the 5 day simple moving average as a secondary trigger for entry and exit, the I Know First R&D team has developed a complementary model to support his thesis. The results were positive, and incorporating the 5 day SMA trigger allows us to design day trading strategies which further enhance returns and reduce risks. The following portfolio invests in the best stocks, interest rate ETFs, and currency pairs as identified by the algorithm and the specified selection process. The trades selection takes place daily before the market opens. Good opportunities are continuously replaced by even better ones to ensure the portfolio is at its optimum with respect to the algorithmic predictions. Both long and short positions are taken, regardless of market direction and trend. The equity is allocated to 60% in stocks, 30% in interest rates, and 10% in G10 currencies x10 leveraged. The overall return in the one year period from July 1st, 2014 to August 30th, 2015 is 106.3% while the S&P500 rose by 0.6% during the same period.

Algorithmic Trading

Below is a summary given for the daily and annualized performance including the respective key risk metrics – for each of the allocation pools separately as well as for their total combination into the fund. For the Currencies it is differentiated between leveraged (x10) and unleveraged. Additionally, the trade statistics for each asset class are presented on the next page.

image_number_2

image_number_3

The following charts depict the individual development of the stocks, interest rates, and currencies (un-leveraged) over time.

Algorithmic Trading 2

Algorithmic Trading 3

Algorithmic Trading 4

Download Full Report as PDF Version

I Know First Research

[email protected]

Copyright I Know First 2010-2015