B

War Risk Asset Allocation Coach

3.00

Derivation Chain

Step 1 Iran tensions and Middle East war crisis
→
Step 2 Individual investor geopolitical risk response
→
Step 3 Geopolitical event-linked portfolio rebalancing guide

Problem

Domestic individual investors (ages 30-50, with investment assets of 50 million to 300 million KRW ($37,500 to $225,000)) tend to sell in fear whenever Middle East war news breaks, or consider adding defensive assets (gold, commodity ETFs), but lack specific allocation adjustment criteria, leading to emotional decisions that result in average annual excess losses of 3-5 percentage points. Securities firm research is geared toward institutional investors and is not actionable advice for individuals.

Solution

Detects geopolitical risk events (wars, sanctions, terrorism) in real time, and based on historical asset-class return data from similar events, provides specific rebalancing scenarios (defensive/neutral/aggressive) for the user's current portfolio (linked to brokerage or manually entered).

Target: Individual investors with assets of 50 million to 300 million KRW ($37,500 to $225,000), salaried workers and self-employed individuals in their 30s-50s.
Revenue Model: Premium: 49,000 KRW/month per individual (approx. $37) (portfolio integration + unlimited scenarios). Free tier: 2 event alerts per month only. 20% discount for annual payment.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
3.0/5
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 (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
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 (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
7.5/15
Solo Buildability
7.0/10
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

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