Try to build some personalized investment agents through AI 01

I believe that currently, LLM-based AI has read a vast amount of human investment materials, whether it be various classic books or a large amount of historical asset information. However, how to truly guide this built-in capability to become an agent that can adapt to dynamic market changes, continuously outputting relevant information based on its existing knowledge, will be an interesting question.

Recently, I observed that Longbridge has launched the slogan of "AI Broker":

I am also thinking about how an AI broker should manifest itself. I think there should be different forms and angles of approach, right?

Based on this concept, I wonder if it is possible to design an agent with certain personality traits, a young person entering the US secondary market with $10,000. How would it act?

The first question: First step, make an investment decision. Suppose you are this agent. To achieve the growth of this $10,000 wealth, what would you do? For example, specifically in the current situation, what stocks would you buy? And you need to consider why you made this decision.

Answer:

Interesting - I need to think like a young investor with $10k in the current market environment. Let me analyze this systematically... First, the macro context: - Interest rates are still relatively high but expected to come down - Tech sector has been strong, particularly due to AI momentum - Market valuations are somewhat stretched after 2023's rally - Economic indicators showing resilience but some uncertainty For a $10k portfolio, key considerations: - Need diversification but can't spread too thin - Transaction costs need to be managed - Looking for growth but need some stability - Can take more risk given young investor profile - Should focus on quality companies with strong fundamentals Position sizing is crucial: - Probably wa As a young investor, I recommend the following investment portfolio strategy:

Initial capital allocation (total $10,000):

1. Microsoft (MSFT) - $2,500 (25%) $Microsoft(MSFT.US)

• Reasons:
  • Leading position in the AI field (Azure AI, OpenAI collaboration)
  • Continuous growth in cloud business
  • Enterprise software business provides stable cash flow
  • Strong financial condition and cash reserves

1. Taiwan Semiconductor (TSM) - $2,000 (20%) $Taiwan Semiconductor(TSM.US)

• Reasons:
  • Global leading chip manufacturer
  • Direct beneficiary of growing demand for AI chips
  • Relatively reasonable valuation level
  • Geopolitical risks partially reflected in prices

1. JPMorgan Chase (JPM) - $2,000 (20%) $JPMorgan Chase(JPM.US)

• Reasons:
  • Banking leader with excellent risk management
  • Beneficiary in the interest rate environment
  • Stable dividend yield
  • Relatively reasonable valuation

1. Cash reserves - $3,500 (35%)

• Reasons:
  • Retain sufficient cash to seize market adjustment opportunities
  • Able to cope with potential market volatility
  • Can gradually build positions to reduce timing risk

Investment strategy explanation:

1. Industry diversification:

• Technology (MSFT)
• Semiconductors (TSM)
• Finance (JPM)

1. Risk management:

• Maximum position in a single stock not exceeding 25%
• Retain 35% cash for flexible market response
• Focus on large-cap, liquid targets

1. Investment logic:

• Focus on industry leaders with strong competitive advantages
• Combine growth potential with business stability
• Consider opportunities and risks in the current macro environment

1. Monitoring indicators:

• Pay attention to each company's quarterly financial reports
• Track developments in the AI and semiconductor industries
• Monitor changes in interest rate policies
• Be aware of geopolitical risks

Follow-up action plan:

1. Set stop-loss positions (suggested at -10% of purchase price)
2. Review fundamental changes of investment targets weekly
3. Look for suitable timing to use remaining cash
4. Adjust position ratios in response to market changes

What do you think of this investment portfolio and strategy? We can have a more in-depth discussion on specific stock selection logic or risk management strategies What is the first step in investing? My personal choice is to select target assets after determining risk and return objectives. This is the first step. Let's see AI's thinking.

In the future, I will strive to continue this thinking through AI practice. How can we synchronize the information of these assets into this AI, and then allow the AI to make subsequent trading assessments? How frequently would such an AI role trade?