B

ETF Rebalancing Tax Preview

3.35

Derivation Chain

Step 1 ETF investment boom
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Step 2 ETF portfolio rebalancing tools
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Step 3 Pre-execution capital gains tax and health insurance impact calculator for rebalancing

Problem

Korean individual investors (ages 30-50, with $37,500-$375,000 (~50M-500M KRW) in investment assets) fail to holistically consider overseas ETF capital gains tax (22%), domestic ETF dividend tax (15.4%), the $15,000 (~20M KRW) financial income comprehensive taxation threshold, and National Health Insurance dependent disqualification criteria when rebalancing their ETF portfolios—resulting in $375-$1,500 (~50-200M KRW) in unnecessary additional tax or unexpected health insurance premium spikes.

Solution

Imports current ETF holdings via brokerage account linking (scraping) or manual entry. Once target allocations are set, the system simulates expected capital gains tax, dividend tax, health insurance premium changes, and comprehensive financial income tax applicability on a single screen before any sell/buy orders are placed. Automatically recommends tax-minimizing rebalancing paths (which positions to sell first).

Target: Salaried individual investors aged 30-50 with $37,500+ (~50M KRW+) in investment assets, particularly those with high overseas ETF exposure interested in asset management
Revenue Model: Premium Monthly Subscription at $37/month (~49,000 KRW, unlimited simulations). Free Plan (3 simulations per month)
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
4.0/5
M Market
5.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
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