B

Foreign Stock ETF Currency Hedge Simulator

3.15

Derivation Chain

Step 1 KOSPI breaking 6000 drives growing interest in overseas diversification
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Step 2 Currency risk in foreign stock ETFs becomes prominent
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Step 3 Currency hedging strategy simulation tool

Problem

As KOSPI breaks through 6000, investors with overweighted domestic assets are attempting to diversify into foreign ETFs, but there's no intuitive way to compare the real return differences between currency-hedged (H) and currency-exposed ETFs across various KRW/USD exchange rate scenarios. Calculating real returns factoring in hedging costs (1-3% annually) requires 2-3 hours of Excel work, and most investors end up making decisions while ignoring currency fluctuations entirely.

Solution

(1) Select a foreign ETF to view comparison charts of historical returns for hedged vs. unhedged versions including currency fluctuations, (2) simulate projected returns across future exchange rate scenarios (appreciation/depreciation/sideways), and (3) visualize the overall portfolio's currency exposure by individual currency.

Target: Working professionals aged 30-50 investing in foreign ETFs (investment range $7,500-$150,000)
Revenue Model: Premium SaaS at $11/month per account (unlimited simulations + real-time exchange rate integration). Free tier: 5 simulations per month.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (64%)

Tech Complexity
29.3/40
Data Availability
15.0/25
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 (50/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
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

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