A

Retail Investor Sentiment Report

3.70

Derivation Chain

Step 1 KOSPI all-time high + surging retail buying
→
Step 2 Retail investor behavioral analytics services
→
Step 3 Retail sentiment data Report for investment media/influencers

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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 Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
N=.15 U=.20 M=.15 R=.30 V=.20

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/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

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/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

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