We are ready, and we are better.
Combining data analysis and statistical theory to translate customer requirements into mathematical problems
Additionally building predictive models (including machine learning methods) for various arbitrage tests
Designing, screening and testing the best solutions based on financial mathematics theory and more than ten years of industry R&D experience
Considering the efficiency of the algorithm to ensure the actual computing efficiency of the model at the same time
Composting structures targeted at clients’ transactions
Combining with more than 10 years of first-hand experiences in modeling, review and development
Renovating the software from start to end, with no more software usage fees and low subsequent maintenance costs
Data proxy, completion, and cleaning
Financial market transactions, risk controlling tools
Risk quantification and allocation by portfolio layer