It is possible to adjust the trade-off between return and risk according to operational objectives!
We would like to introduce "Portfolio Optimization" using Fixstars Amplify, which we handle. The optimization uses estimates based on the historical data method. The historical data method is an estimation technique that determines the expected return and risk of assets based on past price movement data. The optimized portfolio shows that while the average return is lower compared to investing in a single stock, the variability of returns has decreased. [Contents] ■ Acquisition of stock price data ■ Formulation and implementation of solver for optimal portfolio calculation ■ Execution and evaluation of optimization ■ Operational simulation *For more details, please refer to the related links or feel free to contact us.
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With over 700 companies and organizations utilizing it, and more than 50 million cumulative executions, our optimization computing cloud service powered by cutting-edge quantum technology and other advanced computing methods supports the optimization and automation of our customers' operations. The optimization computing cloud service "Fixstars Amplify" is used in on-site management planning tasks such as production planning, shift scheduling, vehicle dispatch planning, and delivery planning. It can also be utilized for optimizing shelf layouts in automated warehouses and for automatic control of AGVs as a digital twin. In research and development, its use is expanding in areas such as materials informatics and optimization of design parameters. With the world's best service for solving social issues, the highest precision and efficiency, and the most user-friendly optimization computing cloud service, along with comprehensive support from excellent optimization consultants, we provide total support for the optimization of various operations in the manufacturing industry. 【Usage Applications】 Production planning, shift planning, equipment investment optimization, optimal routing for AGVs, shelf layout optimization in automated warehouses, vehicle dispatch planning, delivery planning, design parameter optimization, materials informatics, etc.