AI Investing Prompt Library: How to Use AI to Start Your Investing Journey
A structured prompt library for using AI as a research and learning tool across every stage of an investing education.
This article contains factual information about using AI as a research and learning tool. It is not financial advice and does not recommend any particular investment, product, or course of action.
📚 AI Prompt Library
Each step below includes practical prompts you can copy directly into any AI assistant. Click any prompt to copy it to your clipboard.
Research Efficiency
Portfolio Design
Behavioural Discipline
Automation
Long-Term Strategy
How to work through this library
A common approach is to begin with the foundation steps (1 to 3), explore index investing concepts (Step 7) and portfolio structure (Step 8), then gradually work through the remaining steps based on interest and goals. Step 12 prompts are useful to revisit regularly. These prompts are designed to support your own research and thinking process, not to replace professional advice.
01
Why Invest? — Mindset and Purpose
Goal: Clarify motivation and long-term vision
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“Help me define my long-term financial goals in clear, measurable terms.”
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“What does financial independence look like based on these inputs: income, expenses, and time horizon?”
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“Create a personal investing mission statement.”
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“List the benefits of long-term investing beyond just returns.”
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“Help me design a 20 to 30 year wealth plan framework.”
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02
Am I Ready? — Financial Foundation
Goal: Assess readiness before investing
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“Assess whether I am financially ready to start investing. Ask me the key questions.”
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“Help me understand the factors people consider when weighing debt repayment against investing.”
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“Help me design an emergency fund target.”
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“Create a debt repayment strategy comparing snowball vs avalanche methods.”
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“What financial metrics indicate readiness to invest?”
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03
Saving to Invest — Savings Rate Optimisation
Goal: Increase the most controllable wealth driver
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“Analyse my spending categories and identify savings opportunities.”
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“Help me increase my savings rate by 5% without reducing quality of life.”
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“Create a monthly budget system.”
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“Design a ‘pay yourself first’ automation structure.”
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“Show how increasing my savings rate affects long-term wealth using projections.”
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04
How the Share Market Works
Goal: Understand market structure
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“Explain how shares represent ownership in simple terms.”
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“Describe how stock exchanges match buyers and sellers.”
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“Compare stocks, shares, and equity.”
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“Explain how dividends work mechanically.”
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“Create a visual explanation of how the stock market functions.”
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05
Asset Classes and Investing vs Speculating
Goal: Understand investment categories
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“List major asset classes and compare risk/return characteristics.”
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“Explain the difference between investing and speculating.”
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“Classify these assets as productive or speculative: [list assets].”
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“Compare stocks, bonds, property, and alternatives in a table.”
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“What makes an asset productive?”
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06
Choosing a Brokerage Platform
Goal: Understand the practical execution layer
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“What criteria should I use to choose a brokerage platform?”
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“Create a broker comparison checklist.”
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“Explain brokerage fees and how they compound over time.”
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“What features should an investor prioritise for long-term investing?”
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“Design a decision matrix for choosing a broker.”
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07
Index Investing and ETFs
Goal: Core portfolio foundation
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“Explain how index funds work.”
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“Compare active vs passive investing.”
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“Design a globally diversified ETF portfolio.”
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“Analyse the pros and cons of index investing.”
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“What factors determine how much of a portfolio might be allocated to index ETFs?”
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08
Portfolio Construction
Goal: Allocation design and structure
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“What principles do investors use when designing a portfolio for different time horizons?”
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“Explain diversification across geography, sectors, and asset classes.”
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“Create a core and satellite portfolio structure.”
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“Compare 60/40 vs 100% equity portfolios.”
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“What are common approaches to portfolio rebalancing?”
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09
Finding Individual Stocks — Satellite Strategy
Goal: Structured stock selection framework
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“Create a repeatable stock analysis framework.”
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“Screen companies using these criteria: [revenue growth, ROE, debt levels].”
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“Analyse this company’s moat and competitive advantage.”
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“Evaluate this business using four-step analysis: product, moat, reinvestment, valuation.”
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“List risks for this stock.”
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10
Using Active Fund Managers
Goal: Evaluate professional fund managers
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“What should I look for when evaluating an active fund manager?”
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“Analyse this fund’s philosophy, process, and track record.”
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“Compare active vs passive funds in terms of fees and performance.”
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“What are signs of style drift in a fund manager?”
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“How can I avoid chasing performance?”
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11
Buying, Selling and Behaviour
Goal: Execution discipline
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“Explain market vs limit orders.”
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“Help me design a dollar-cost averaging plan.”
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“Create rules for when I should sell an investment.”
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“Simulate the emotional impact of a 30% market decline.”
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“How can I avoid panic selling?”
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12
Automation and Psychology — Final Discipline Layer
Goal: Remove emotion from the process
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“Help me automate my investing process end-to-end.”
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“Design a system to remove emotional decision-making.”
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“Write an investment policy statement.”
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“Create a quarterly portfolio review checklist.”
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“Identify behavioural biases that may affect my decisions.”
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“Design an automated dividend reinvestment plan.”
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“Help me build an information filter strategy to reduce media noise.”
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Advanced Master Prompts
Portfolio Review Prompt
“Act as a disciplined investment analyst. Review my portfolio allocation, risk level, and diversification. Identify weaknesses and suggest improvements without increasing complexity.”
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Contrarian Review Prompt
“Challenge my investment thesis. List arguments against it.”
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Long-Term Scenario Prompt
“Model this portfolio over 10, 20, and 30 years under conservative, moderate, and optimistic return assumptions.”
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Behavioural Check Prompt
“Based on behavioural finance principles, what mistakes might I be vulnerable to?”
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AI should be used to
- Reduce complexity and jargon
- Improve clarity of your thinking
- Reinforce automated behaviours
- Strengthen long-term consistency
AI should not be used to
- Replace professional financial advice
- Predict market movements
- Encourage overtrading
- Make specific product recommendations
Recommended Sequence
1
Steps 1 to 3 — Build the foundation. Clarify purpose, assess readiness, and optimise savings before thinking about markets.
2
Step 7 — Understand index ETFs as the core of most long-term portfolios before exploring anything more complex.
3
Step 8 — Design an allocation structure before adding individual positions.
4
Steps 9 and 10 — Only consider individual stocks or active managers once the core structure is established.
5
Step 12 — Return to these prompts regularly. Behavioural discipline is ongoing, not a one-time exercise.
Mentor Sync Hub
Prompts are the start. Accountability is what makes them stick.
Using AI to research investing is powerful. But most people who research never act consistently on what they learn. Mentor Sync Hub provides the accountability layer that sits alongside the knowledge.
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