The foundation of all prediction models is based on the analysis and clever categorization of big data.read more
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.
We constantly create and tweak our models to achieve high performance and accuracy.read more
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.
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.read more
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
ByteLabs 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.
A key ingredient for ByteLabs’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.
Similar to algorithmic trading, ByteLabs uses machine learning to help make better trading decisions.
With machine learning, ByteLabs is able to provide our team of analysts and traders the trading edge over the market average.
Our aim is to feed as much meaningful data as possible to the ByteLabs so that it able to recognize patterns in vast assortments of data to predict more accurate outcomes.