Core Principles



Trade signal generation, execution, and risk allocation are systematic at FORT. The objective is to remove all possible judgmental or emotional biases from the investment process and to take advantage of flaws in human behavior to systematically and consistently extract alpha from markets.


Seeks to have low correlation with equity markets.

By designing strategies that trade a wide range of asset classes and securities, both from the long and short side, FORT has consistently achieved an uncorrelated absolute return profile. FORT’s models aim to achieve equity-like returns with low or negative correlation to traditional asset classes.


Statistical machine learning is at the core of FORT’s adaptive process.

FORT applies a structured learning technique, rooted in Bayesian concepts, to dynamically shift risk across markets, trading parameters, and models. This approach allows FORT’s strategies to be dynamic and take advantage of changing market opportunities.


Emphasis on the most liquid global markets.

FORT trades the most liquid futures contracts with a focus on financial markets and commodities. FORT also trades approximately 1500 of the most liquid single U.S. listed equity names. This focus allows the firm to maintain a highly liquid profile and offer high levels of liquidity to investors.

Quantitative Futures

FORT’s quantitative approach to the futures markets includes the following strategies:

Trend Following

Trend Following Program is a trend-following trading strategy designed to capture medium- to long-term trends in global futures markets using FORT’s adaptive methodology.

Trend-following seeks to profit from long-term price trends, using a wide range of technical indicators. The strategy seeks to identify both positive and negative trends in market prices across a broad spectrum of futures contracts in the global markets. FORT’s adaptive process shifts risks across models, markets, and holding periods to optimize risk allocation.

trend anticipation

Trend-Anticipation is a trend-based strategy which seeks to participate in medium- to long-term trends as well as profit from volatility around the trends. The strategy seeks to anticipate trends in the markets and uses FORT’s Bayesian statistical learning technique to shift risk across markets and parameter combinations.

Trend-Anticipation seeks to profit in both trending and non-trending markets and it is usually early in entering and exiting trends. Investors often include Contrarian to complement a trend portfolio as it has produced trend like returns with low correlation. 


FORT Equity Market Neutral is a quantitative market neutral strategy designed to identify stocks that are likely to outperform the broader market over a longer term time horizon.

FORT utilizes a quantitative approach to identify attractively priced, high quality companies and uses a mix of proprietary fundamental and technical signals. EMN invests in the U.S. equity markets on a hedged basis, which is designed to produce low beta exposure to the market. The Stock selection process along with FORT’s proprietary adaptive process produces a portfolio with dynamic sector exposure that shifts risks over time. The program employs a longer-term holding period and seeks to produce long-term gains and short-term losses which provides additional benefits to U.S. taxable investors.


FORT also employs multi-strategy programs that combine the quantitative futures strategies together with and without the quantitative equity strategy.

The multi-strategy quantitative programs seek to generate attractive risk-adjusted returns for clients over a market cycle. They are designed to produce stable, diversifying returns by combining low correlated strategies that are both divergent and convergent.