PFolio
Signal-driven portfolio intelligence — risk scoring, benchmark comparisons, and regime-aware insights.
Risk ModelingBenchmarksAttributionRegime DetectionVisualizationPersonal Finance
Context
PFolio pushes beyond net worth tracking into signal-driven portfolio intelligence.
It includes concentration risk scoring (Herfindahl-style), liquidity risk breakdown, income stability scoring, and a debt risk ladder.
It adds market context via benchmarks (equities/gold/etc.) and attribution analysis to explain what drove outcomes.
Regime detection makes the portfolio feel "alive" — showing how it behaves in bull/volatile/risk-off modes.
The UI direction is deliberately analytical: risk radar, exposure wheels, and performance context layers.
The long-term goal is institutional-grade clarity for everyday portfolios.
Problem
- Most portfolio tools stop at net worth tracking — no risk decomposition, no context.
- Individual investors lack access to institutional-grade analytical frameworks.
What I Built
- Concentration Risk Index — weighted exposure concentration (Herfindahl-based).
- Liquidity Risk Score — % crypto/small cap/locked assets, time-to-cash modeling.
- Income Stability Score — standard deviation analysis, fixed vs variable income.
- Debt Risk Ladder — maturity schedule, interest burden trend.
- Market Context Layer — benchmark comparison + attribution analysis.
- Regime Detection — bull/volatile/risk-off mode classification.
- Risk Radar Visualization — multi-dimensional risk view.
Guardrails & Constraints
- No speculative signals — every metric is derived from observable portfolio data.
- Regime detection uses market data, not predictions.
- Designed for analytical clarity, not gamification.
Outcomes
- Institutional-grade analytics accessible to individual investors.
- Portfolio becomes a system to be monitored, not just a number to display.
What's Next
- Real-time data feed integration.
- Stress testing under historical scenarios.
- Advisor-facing dashboard for wealth management use cases.