Chain of Demand Docs
  • πŸ”—Chain of Demand Overview
  • πŸ‘€User Guide
    • πŸ’‘Getting Started
      • Chart and Data Exploration
      • Strategy Creation
      • Configuration
      • Strategy Results
      • Strategy Options
      • Predictions
    • πŸ’ΉTrading Pairs
    • πŸͺ™Assets
    • πŸ”£Metrics
    • πŸ“ŠChart Layouts
    • πŸ“ˆStrategy Result Details
    • πŸ’²Pricing and Credits
  • πŸ’ΈCoD-GPT Fund
    • πŸ“–Methodology
    • πŸšͺHow to Participate
      • πŸ›»TraderWagon
  • ❓FAQ
  • πŸ’ͺInvestors & Partners
  • Links
    • Website
    • Discord
    • Twitter
    • Medium
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  1. CoD-GPT Fund

Methodology

Step 1: Generating a 7-day estimate

We upload the most up-to-date price and alternative data (e.g. social and news sentiment, whale transactions, changes in token supply on exchanges, news headlines, etc.) and prompt ChatGPT for price estimates for the next 7 days.

Step 2: Creating the HODL Portfolio

To keep things simple, we’re creating a HODL portfolio. We asked ChatGPT to focus on the assets with an estimated price increase in the next 7 days and provide a suggested allocation with a supporting explanation.

Step 3: Portfolio Rebalancing

To continuously capture changes in the market reflected by our data, we’ll be prompting GPT and subsequently rebalancing our positions on a weekly basis. We’ll be posting all about our progress and any updates to the process on Twitter regularly.

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Last updated 1 year ago

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