Integrating Claude into your process

Please don't push your expensive software here - i'm not interested and it ruins the thread

I've been playing around with claude code for a few months now, I cover global healthcare for an asset manager who are very anti technology so i've been doing this stuff on my own time. The folder has all the necessary skills and memories now to do decent earnings updates on the companies under coverage, I have it link the data to a supabase database so my numbers remain grounded every run I do. 

I'm kind of at that stage now where I have decent models in place for the companies, a grounded thesis that it's monitoring. But i'm struggling with idea generation and assessing the quality of an idea. 

I built a scraper on VIC notes (highest quality ones) then tried to have Opus reason why the ideas worked vs didn't based on the notes - complete garbage. But I like the idea of the process behind it. 

I'm keen to collaborate with other analysts working on their process (again no software pushers), it'd be very cool to start building up a community of researchers who can share approaches (especially in a field that doesn't believe in open source)

3 Comments
 

Based on the most helpful WSO content, here are some insights and suggestions to address your challenges with idea generation and assessing idea quality:

  1. Idea Generation Process:

    • Pattern Recognition: As highlighted in WSO threads, speed and accuracy in idea generation improve with experience due to pattern recognition. Focus on building a consistent process for analyzing companies and sectors, which will naturally enhance your ability to spot opportunities.
    • Sector-Specific Analysis: Since you cover global healthcare, prioritize understanding sector-specific drivers, regulatory changes, and macro trends. This will help you identify mispricings or opportunities with better risk/reward profiles.
    • Predefined Time Horizons: Define clear time horizons for your ideas (e.g., 2-3 years for longs, 6-12 months for shorts). This helps in aligning your research process with actionable outcomes.
  2. Assessing Idea Quality:

    • Granular Research: Ensure your research process is thorough from the start. Poor or careless research can lead to flawed ideas. Build detailed models and validate assumptions with team discussions or external benchmarks.
    • Internal Review: If possible, create a system where your ideas are debated and reviewed internally. This ensures that core assumptions and valuations are robust before acting on them.
    • Focus on Alpha: Prioritize ideas with the best potential for alpha generation. This involves identifying mispricings, understanding catalysts, and assessing risk/reward dynamics.
  3. Leveraging Technology:

    • While your current setup with Claude and Supabase is impressive, consider refining your scraper and reasoning tools. Instead of relying solely on Opus, you might explore integrating other NLP models or frameworks to analyze VIC notes more effectively.
    • Focus on extracting key themes, catalysts, and valuation metrics from high-quality notes. This can help you identify patterns in successful ideas and refine your own process.
  4. Collaboration and Community:

    • Building a community of like-minded researchers is a fantastic idea. Sharing approaches, tools, and insights can accelerate learning and improve outcomes for everyone involved.
    • Consider starting a private forum or Slack group where analysts can discuss their processes, share resources, and collaborate on projects.
  5. Balancing Speed and Quality:

    • As emphasized in WSO discussions, consistent, accurate work is more important than speed. However, don't fall behind on building new names or ideas, as this can lead to missed opportunities. Strive for a steady flow of well-researched ideas.

By refining your process and collaborating with others, you'll likely see improvements in both idea generation and quality assessment. Keep iterating and learning from your experiments!

Sources: How many ideas do you generate per week/month?, Idea Generation... and Why Wall Street Sucks at It

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 
Most Helpful

You took a pretty big leap from keeping track of names to evaluating pitches and identifying why they did/didn't work. There are too many variables to try to decipher from a thesis vs. the actual stock over any given period of time for a generalist model to parse. 

Claude will only be as good as the system you build around it. If your existing idea generation system sucks, it's not going to magically generate good insights for you. 

Let's start here: How do you go about generating and evaluating ideas today? 

 

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