Positioning
InverseOne is a contrarian investment intelligence platform that detects oversold rebound opportunities across Korean, US, Japanese, and crypto markets. It is designed around repeatable signals rather than emotional narratives, giving self-directed investors a structured starting point for short-term decision-making.
Problem Statement
Retail investors are overwhelmed by fragmented news, influencer opinions, and inconsistent screening criteria. The problem gets worse when they track multiple markets at once. InverseOne was planned to reduce that noise by answering a simple but critical question: which assets deserve attention now, and on what measurable basis? The product combines rule-based signal discovery with transparent post-signal performance tracking so users can evaluate both the opportunity and the credibility of the system.
Core Audience
- Self-directed traders seeking entry candidates: Users who want to narrow down opportunities quickly without relying on hype
- Multi-market investors: People tracking several regions and asset classes through one consistent framework
- Evidence-driven users: Investors who care about signal logic, comparability, and performance transparency
Core User Flow
- Choose a market: Start from the region or asset class that matters today
- Review daily signals: Scan the highest-priority rebound candidates surfaced by the model
- Validate the setup: Inspect RSI, MACD, moving averages, volume behavior, and related context
- Take action and monitor: Save to watchlists or portfolios and follow post-signal outcomes
Key Features
- Daily signal curation: Fresh contrarian candidates across multiple markets
- Explainable quantitative context: Technical indicators presented alongside each opportunity
- Smart screener: Filter assets by oversold conditions, volume surges, bounce patterns, and more
- Transparent performance reporting: 7-day and 30-day results disclosed for ongoing evaluation
- Market context layer: Sector movement, sentiment, fundamentals, and relevant calendars
- Portfolio workflow support: Watchlist and portfolio tracking inside the same product loop
Product Design Principles
- Signals before stories: The product leads with measurable criteria, not market theatre
- Trust through visibility: Recommendations are paired with outcome tracking instead of ending at discovery
- One information model across markets: Users should not need a different mental model for each region
- Built for repetition: Discovery, validation, and monitoring are designed as a recurring workflow
Technology Stack
- Frontend: Next.js, React
- Styling: Tailwind CSS
- Analytics: Google Analytics
- Features: Multi-language support (Korean, English), Progressive Web App