Is it possible to predict the market?

A common belief is that the financial market is completely unpredictable. If true, then how do the professionals consistently succeed?

Is it possible to analyse the large amounts and accurately predict the financial market as we know it today? The answer is yes. Admittedly, the market can be extremely complex and impossible to predict with 100% accuracy. However, using the latest mathematical theories (based on modern chaos theory on complex systems), large data sets, Artificial Intelligence and machine-learning, alfazen is able to make predictions with enough accuracy and probability for successful trades. 

In reality what we do is quite simple – we simulate the hunch and informed market view of successful professionals.

alfazens algorithmic predictions 

Our daily forecasts are based on advanced mathematical models that have been developed from modern chaos theory, signal and information processing for complex systems and human expertise.

Various algorithms are designed with several Artificial Intelligences and machine learning engines that are fed with large amounts of data on a daily basis, in order to generate a self-learning system. As of today, we use two different learning methods: deep learning neural networks and prediction trees along with a series of classic and proprietary analytical methods.

alfazen has a successful winning prediction rate of over 65%

“Being able to predict the market with a probability greater than 50% is enough to be a winner in the long run”

The secret behind our unique forecasts

Big Data

In order to create high-quality forecasts, our first step is to gather relevant information and data from numerous sources from a five-year period.

Artificial Intelligence

The collected data is then analysed, while multiple Artificial Intelligence systems across numerous networks are trained. This is done to find correlations between events and outcomes, which are the basis of optimal forecasts.

Predictions and forecasts

The trained networks create empirical models and dependencies between various events to create further forecasts (similar to weather forecasts). Therefore, the forecasts are based on large amounts of data, hundreds of different analytical methods and trading models based on sound professional expertise.