Retail Investor Sentiment Report

3.70

Derivation Chain

Step 1 KOSPI all-time high + surging retail buying

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Step 2 Retail investor behavioral analytics services

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Step 3 Retail sentiment data Report for investment media/influencers

Problem

Investment YouTubers, bloggers, and newsletter operators (1K–50K subscribers) creating 'retail investor trading trends' content must manually process raw KRX investor-by-type trading data, spending 30–60 minutes daily on spreadsheet work. Adding visualizations takes another hour, delaying content publication.

Solution

Automatically collects KRX investor-by-type trading data, margin balances, and short selling data to compute a 'Retail Investor Greed/Fear Index,' and auto-generates embeddable chart widgets and newsletter-ready images. Also available via API for automated workflows.

Target: Investment content creators with 1K–50K subscribers (YouTubers, newsletter writers, bloggers), ages 25–45

Revenue Model: API usage-based: $14/mo (~₩1.9만) (100 calls/day) / Pro $37/mo (~₩4.9만) (unlimited + custom branding), widget embedding Free (with watermark)

Ecosystem Role: Infrastructure

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

4.0/5

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 (68%)

Tech Complexity

29.3/40

Data Availability

18.8/25

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 (57/100)

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

8.0/10

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

Backend [medium] Frontend [low] Data Pipeline [medium]

Dashboard