Green and Sustainable Finance
Graph-Massivizer aims to remove the limitations of financial market data providers (limited volume, reduced accessibility, very high costs, limited historic relevance) by enabling fast semi-automated creation of realistic and affordable synthetic extreme financial data sets, unlimited in size and accessibility. Peracton Ltd. uses the financial multiverse for improved AI-enhanced green investment and trading simulations, free of critical biases such as prior knowledge, over-fitting, and indirect contamination due to historic financial data scarcity and limitations. There are two major objectives to be achieved:
Generate an energy-efficient synthetic financial data (multiverse), validated using standard (green) financial investment and trading algorithms against real historical financial data sets.
Green Financial Data Multiverse sustainable extreme data archive.
Use Financial Data Multiverse for improved green AI-enhanced financial algorithms with reduced bias, risk, and higher performance.
Improved green financial algorithm portfolio for better investment returns and lower risk.