Predictive Modelling

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Modelling

The foundation of all prediction models is based on the analysis and clever categorization of big data.

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Upon obtaining big data from reliable channel and sources, we deploy artificial intelligence (AI) to verify the authenticity and validity of the data. Simultaneously, our artificial intelligence (AI) can operate autonomously while in midst of acquiring and analyzing these data, so as to improve accuracy.

Model Optimization

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Optimization

We constantly create and tweak our models to achieve high performance and accuracy.

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These models reduce the need for additional expert in-house talents and covers a wide range of applications, including those where insufficient data exists. Tens of thousands or even millions of potential outcomes can be tested by the model to identify the best plan to implement in the real world. AI and model building is all about finding the right architectures and meta-level parameters, and now this can be done automatically.

Business Optimization

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Optimization

We augment and improves decision-making in a very principled data-driven manner. We build a predictive engine that helps business managers maximize business results by recommending optimal decisions that apply directly to their goals.

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It runs a continuous learning and optimization life cycle loop on a surrogate model of the real world, saving both time and money. Each evolution, or loop, identifies and selects better outcomes. Our optimization engine is ideal in situations where the need to evaluate a combination of complex variables is beyond the

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data analytics

STAR system uses AI and data analytics to predict accurate future outcomes by collecting and analysing big data on multiple aspects from sovereign policies related news, market trends, geopolitical developments, macro-economic data and institutional trading data. These factors are key components affecting trading volumes and performances. With the analysed data, we will be able to have clearer insights of the market movements.

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MACHINE Learning

MACHINE Learning

A key ingredient for STAR System’s accuracy is its ability to automatically learn and improve from experience without being explicitly programmed.

The AI application, Machine Learning, focuses on the development of computer programs that can access data and learn for themselves without human intervention.

MACHINE LEARNING & STAR SYSTEM

Similar to algorithmic trading, STAR System uses machine learning to help make better trading decisions.

With machine learning, STAR System is able to provide our team of analysts and traders the trading edge over the market average.

Success of the STAR System is dependent on following key factors:

Robust infrastructure
Collecting suitable datasets
Using right algorithms

Our aim is to feed as much meaningful data as possible to the STAR System so that it able to recognize patterns in vast assortments of data to predict more accurate outcomes.

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