Financial decisions require more than quick answers - they demand transparent, auditable reasoning. When an AI flags a transaction as fraudulent or recommends a portfolio rebalancing, stakeholders need to understand why. Chain-of-Thought and ReACT prompting techniques transform LLMs from black-box responders into systematic reasoners whose logic can be traced, verified, and trusted.
Role-Based Prompting for Financial Analysts
When you ask an LLM to “help with financial planning,” you might get a generic response that misses the nuance your situation requires. But what if you could transform that same LLM into a specialized Certified Financial Planner with 10 years of experience in debt management and retirement planning? That’s the power of role-based prompting, and it’s particularly valuable in financial services where precision and expertise matter.
Vietnam stock data analysis
The goal of this project is to collect and visualize the stock price of all tickers in Vietnam. There is quite limited access to API for a single business user, this project aim at scrap data from website, clean, extract and load into data warehouse. The final product is a maintainable/reliable data pipeline with exposed analytic dashboard hosted on cloud, and end authorized users can access to 24/7 with daily updated data.