What problem does it solve?
It helps investors design an individualized asset allocation plan based on their risk tolerance and current holdings, while accounting for market conditions and quant models to estimate potential return distributions.
Core Features & Use Cases
- Risk-to-allocation planning: Converts customer risk level and investment preferences into a target asset-class allocation and optimization proposal.
- Gap analysis for rebalancing: If current holdings are provided, analyzes asset-class composition and highlights what to increase or reduce to reach the target.
- Quant return simulation with required charts: Runs Monte Carlo simulation and produces mandatory visual outputs (target pie, current-vs-target bar, and simulated return chart) with a clear “simulation” disclaimer for decision support.
Example: A customer states their risk level (e.g., R3) and investable amount, and optionally shares current portfolio composition; the skill outputs a target allocation, the adjustment gap, and a simulated return range across multiple horizons.
Quick Start
Provide your risk level (R1–R5) and the amount you can invest, and ask for an asset allocation plan and suggested rebalancing if you have current holdings.
