KOSPI 6000 New Investor Education Coach

3.50

Derivation Chain

Step 1 KOSPI 6000 breakout — all-time high

→

Step 2 Surge in new retail investors

→

Step 3 Practical Education service for beginner investors

Problem

With KOSPI breaking through 6,000, a wave of first-time investors in their 20s-30s is flooding into the stock market. Relying on fragmented information from YouTube and online communities, they average 15-30% principal losses within 3-6 months. There is a shortage of structured investment Education channels — existing brokerage firm courses lack neutrality as they are designed to drive account signups.

Solution

An investment Education SaaS offering virtual portfolio simulation based on real-time KOSPI market data + weekly risk management quizzes + AI-powered trade journal auto-feedback. Key differentiators: broker-independent neutral positioning and behavioral finance-based FOMO/panic alert notifications.

Target: Ages 20-35, office workers with less than 1 year of stock investing experience, monthly investment amount of $375-2,250 (~500,000-3,000,000 KRW)

Revenue Model: Premium SaaS Monthly Subscription at $14.25/account (~19,000 KRW/month), 25% discount for Annual Subscription. Free tier limited to 1 virtual portfolio + restricted weekly Report

Ecosystem Role: Education

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

3.0/5

NUMR-V Scoring System

N Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (67%)

Tech Complexity

29.3/40

Data Availability

17.5/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (56/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Frontend [medium] Backend [medium] AI/ML [low]

Dashboard