Tae Hu Kim | Independent Prompt Engineer & Trinity Architect
EXceedZero shares the planning process of prompts for policy information collection using AI and the system construction process for filtering and verifying collected information, supporting the enhancement of corporate AI utilization capabilities.
To build expertise as a full-time investor, I enrolled in economics at a later age, and beyond school studies, I analyzed nearly 300 investment books in the library, building practical expertise in macroeconomics.
Based on this expertise, for 50 months I verified hundreds of strategies and managed risks while trading in overseas futures markets including S&P 500, crude oil, and US Treasury bonds.
Subsequently, keeping pace with the advancement of AI technology, I began utilizing AI in earnest while pursuing the development of automated trading and return verification programs to automate information collection and trading that I had been managing manually.
First, as an overseas futures trader, I conveyed the professional knowledge accumulated through deep observation of international political trends to AI, and as data collection and verification automation succeeded accordingly, understanding international political trends through AI utilization became possible.
Not satisfied here, I decided to utilize AI for detailed policy information collection as well, with the goal of expanding investment products.