Educational workflow overview
AIFolio Methodology
This page summarizes how the service generates educational portfolio analysis. The methodology may evolve during beta, but the main structure is consistent: profile inputs, market context, portfolio generation, and user review.
1. Onboarding inputs
The onboarding flow asks for investment goal, maximum acceptable drawdown, investing experience, and experience domains. The dashboard also uses the monthly contribution amount and currency selected by the user.
2. Market context
The system gathers market data and macro context from external data providers, including indicators such as USD/KRW, US Treasury yields, VIX, unemployment, CPI, CPI year-over-year change, and BTC/USD. News headlines are collected and localized for supported languages when available.
3. Portfolio output
The portfolio engine maps the user profile and current market context into asset allocation, ticker mix, monthly budget estimates, and a narrative explanation. The output is intended to help users review diversified investing ideas, not to replace independent research or regulated professional advice.
4. Review checklist for users
- Check whether the portfolio objective matches your own investment plan.
- Review ticker-level risk, fees, taxes, and product documents separately.
- Use the analysis as a starting point for study, not as an automatic execution command.
- Re-run the analysis when monthly contribution or market conditions change materially.