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With the KOSPI breaking 5,900 and SK Hynix hitting ₩1,000,000 (~$750), retail investors execute dozens of trades per day in volatile markets but fail to systematically record their rationale, emotions, and outcomes — repeating the same mistakes. Brokerage apps only show execution history without capturing the reasoning or market context behind each trade, leading to average recurring losses of $112-225/month.
Parses brokerage MTS notifications (via KakaoTalk/SMS) to auto-collect trade executions, then auto-attaches market context at the time of each trade (KOSPI index, sector performance, related news headlines) to generate a trade journal. Weekly/monthly Reports visualize recurring patterns (delayed stop-losses, FOMO buying, etc.) to drive behavioral correction.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |