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A novel decision paradigm


GRAYMAT has authored a novel decision modelling paradigm derived from Fuzzy Logic and Reinforcement Learning theory. Although complex in its mathematical formulation, it produces relatively simple and interpretable output signals that can be used directly as trading decisions.


One may think of a system output as a predictive indicator recommanding a Buy decision if it crosses over a threshold and a Sell-Short decision if it crosses under (minus)threshold.


GRAYMAT Systems are advanced artificial intelligence algorithms that are able to capture and represent complex relationships between a set of proprietary indicators and ideal trading positions.


It can compare existing stock-trading patterns with previous situations, and eventually "learn" what works and what does not as the program digests more data.

A Novel Decision Paradigm Schema

A Novel Decision Paradigm





From data acquisition to the development of low-risk trading systems


The true power and advantage of systems modelling lies in their ability to digest a huge amount of data, find both linear and non-linear relationships from trading patterns, and make deep analytics that can never be accomplished by human analysts at the same time.


GRAYMAT Systems automate all complex tasks - from data acquisition and technical analysis to the development of low-risk trading systems, and order generation and routing.


The goal is to operate trading strategies that distribute an investment volume hourly or shorter between long and short positions of several currencies in the Forex market or indices in the Future market, in order to achieve a continuous increase in the value of investments at minimal risk.



Treat Hudge trading pattern extraction schema

From technical Analysis to the market position.