Gold algorithm uses a state-of-the-art predictive algorithm that is based on Artificial Intelligence (AI), Machine Learning (ML), Artificial Neural Networks, and Genetic Algorithms. The impartial algorithm capitalizes on the inherent predictability of the stock market resulting from short-term uncertainty, irrational human behavior, and differing fundamental asset valuations.  It separates the predictable part from stochastic (random) noise.  Then it creates a model that projects the future trajectory of the given market in the multidimensional space of other markets.


The system outputs the predicted trend as a number, positive or negative, along with the wave chart that predicts how the waves will overlap the trend. This helps the trader to decide which direction to trade, at what point to enter the trade, and when to exit.

The model is 100% empirical, meaning it is based on historical data and not on any human derived assumptions. The human factor is only involved in building the mathematical framework and initially presenting to the system the “starting set” of inputs and outputs.
From that point onwards the computer algorithms take over; they constantly propose “theories” and test them automatically on years of daily market data, then validate them on the most recent data, which prevents over-fitting. Some inputs are being “rejected”, meaning they don’t improve the model. Then another input could be substituted.
This bootstrapping system is self learning, and thus live. The resulting formula is constantly evolving, as new daily data is added and as a better machine-proposed “theory” is found.

Some stocks are members of several separate modules. Thus multiple predictions can be obtained, based on different data sets. Also each module consists of a number of sub-modules, each giving an independent prediction. If sub-modules give contradictory predictions, this should be a warning sign. Six different filters are also employed to refine the predictions..

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