B

AI Stock Position Stress Tester

3.50

Derivation Chain

Step 1 NYSE AI concerns causing bearish sentiment + OpenAI's $530B valuation
→
Step 2 Retail investor AI stock portfolio management
→
Step 3 AI stock portfolio scenario-based stress testing tool

Problem

Korean retail investors (ages 30-50) who are heavily invested in AI-related stocks (NVIDIA, Microsoft, Palantir, etc.) cannot intuitively assess portfolio impact when bullish news like 'OpenAI's $530B valuation' and bearish news like 'government bans on AI vendors' occur simultaneously. Without tools to simulate scenario-specific impacts (regulatory tightening, valuation corrections, competitor entry), they resort to emotional trading.

Solution

A stress testing tool that simulates portfolio value changes across key scenarios (regulatory risk, valuation adjustments, technology paradigm shifts, etc.) when users input their AI stock portfolio. Core features: (1) Build AI stock portfolio via brokerage integration or manual entry, (2) P&L simulation across predefined scenarios + user-custom scenarios, (3) Risk diversification score and rebalancing recommendations.

Target: Korean retail investors aged 30-50 holding US AI stock portfolios worth 5M KRW (~$3,750) or more
Revenue Model: Premium Subscription at 29,000 KRW/month (~$22/month) for unlimited scenarios + real-time alerts, Free Tier with 3 simulations/month, Annual plan at 299,000 KRW (~$224/year)
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
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
7.5/15
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 [medium] Data Pipeline [low]
Dashboard