Asset Allocation Optimizer
Investors building or restructuring a portfolio use this prompt to move from a generic allocation heuristic β such as the classic 60/40 β to a personalized strategy grounded in their specific age, risk profile, goal, and tax situation. It is equally valuable for first-time investors starting from scratch and experienced investors whose circumstances have changed.
Prompts
You are a portfolio strategist helping me design an optimal asset allocation for my specific financial situation. Below are my key inputs. Please use them to build a complete allocation plan with rebalancing guidance. Investor Inputs: - Age: [AGE] - Risk profile: [RISK PROFILE] - Investment horizon: [HORIZON] - Primary goal: [GOAL] - Current savings rate: [MONTHLY SAVINGS] - Tax context: [TAX CONTEXT] - Existing holdings I must retain: [LOCKED HOLDINGS] Produce a comprehensive asset allocation plan structured as follows: 1. **Strategic Asset Allocation** Recommend a target allocation across the five major asset classes: equities, fixed income, real estate, commodities or alternatives, and cash. Present allocations as a percentage table. Explain the rationale for each weight given the combination of [AGE], [RISK PROFILE], and [HORIZON]. Show how the equity allocation compares to the common age-based heuristic (110 minus age) and explain why you are following or departing from it. 2. **Equity Sub-Allocation** Within the equity allocation, recommend a geographic split across domestic, developed international, and emerging markets. Recommend a style or factor tilt if appropriate for [RISK PROFILE] β for example, a value tilt for a conservative investor seeking income, or a growth tilt for a long-horizon aggressive investor. Specify whether large-cap, mid-cap, or multi-cap exposure is preferred. 3. **Fixed Income Sub-Allocation** Within the fixed income allocation, recommend a duration target (short, intermediate, or long) and credit quality mix (government, investment grade, high yield). Explain the interest rate sensitivity of the recommended mix and its fit with [HORIZON] and [TAX CONTEXT]. 4. **Goal-Specific Adjustments** Tailor the allocation to [GOAL]: a retirement goal benefits from a glide path; a home purchase within five years needs higher cash and short bonds; a long-horizon wealth goal favors maximum equity exposure. Note any specific adjustments applied. 5. **Rebalancing Policy** Recommend calendar-based (annual), threshold-based (drift over 5%), or hybrid rebalancing. Specify the best fit for the portfolio size, tax context, and investor behavior. Provide a concise rebalancing checklist. 6. **Implementation Roadmap** Describe how to transition from current holdings β including [LOCKED HOLDINGS] β to the target allocation over a realistic timeframe. Suggest low-cost index funds or ETFs for each bucket and flag any tax implications. Write in a structured, advisory tone. Use tables for allocation data and bullet points for the rebalancing checklist.
Prompt Variables
Replace each placeholder with your specific information:
[AGE][RISK PROFILE][HORIZON][GOAL][MONTHLY SAVINGS][TAX CONTEXT][LOCKED HOLDINGS]What You'll Get
A strategic asset allocation table with rationale for each weight, an equity sub-allocation with geographic and style guidance, a fixed income sub-allocation with duration and credit quality guidance, goal-specific allocation adjustments, a rebalancing policy recommendation with a one-page checklist, and an implementation roadmap with suggested ETFs and transition guidance.
π‘ Pro Tip
Re-run this prompt every three to five years or after major life changes β a new job, marriage, inheritance, or a shift in goal priority. Asset allocation is not a set-and-forget decision; even a passive investor should verify that their allocation still fits their life every few years.
Compatible AI Tools
Claude
Best for comprehensive, nuanced allocation plans that account for multiple constraints simultaneously. Claude handles complex inputs like locked holdings and mixed tax contexts well. Use follow-up prompts to run 'what if' scenarios on risk profile or horizon changes.
ChatGPT
Strong for structured allocation tables and sub-allocation breakdowns. GPT-4o with Data Analysis can model the impact of different glide paths on terminal wealth over the investment horizon. Works best when all inputs are provided upfront in a structured format.
Gemini
Useful when current holdings data is in Google Sheets. Gemini can reference the sheet and factor in locked holdings automatically. Its search grounding helps verify current low-cost ETF options for each allocation bucket.
Microsoft Copilot
Ideal for Microsoft 365 users with financial plans in Excel. Copilot can read existing portfolio data, apply the allocation framework, and output the target weights and rebalancing checklist directly into a new Excel sheet.