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Two GPTs for MF Portfolio Processing: You are viewing the MF Portfolio File Converter. It takes raw monthly mutual fund portfolio Excel disclosures (the AMC's original files) and converts them into a standardized CSV. The companion GPT, MF Portfolio Processor, takes that pre-processed CSV and runs further analysis (validation, ISIN mapping, two-period composition drift with % changes). Recommended workflow: use the dedicated MF Files AI app to convert Excel to CSV, then feed the CSV into the MF Portfolio Processor GPT. This GPT remains a good example of using a Custom GPT as a frontend to run predefined Python code with a degree of AI flexibility.

MF Portfolio File Converter

Custom GPT that converts raw monthly mutual fund portfolio Excel disclosures into a standardized CSV format, ready for further analysis.

Try Portfolio Analyzer GPT LLM Context (.txt)

What This GPT Does

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This GPT serves two main purposes:

  • Portfolio Processing: Parse and analyze monthly mutual fund portfolio disclosure Excel files
  • GPT-Python Integration: Demonstrates how a Custom GPT can execute custom Python code
  • Process different Excel file formats from various funds
  • Generate consolidated CSV output
  • Create validation files for data verification
  • Perform custom analysis on request

How to Use

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Follow these steps to analyze mutual fund portfolios:

  1. Upload Files
    • Share the monthly portfolio Excel file
    • Provide the schema information file
  2. Specify Schema Details
    • Data start row number
    • Column mappings (company, instrument, value, ISIN, etc.)
  3. Get Results
    • Receive consolidated CSV file
    • Get validation file for verification
    • Request specific analysis as needed
  4. Need Help? Just ask the GPT "How do you work?" or "What do you need?"

Technical Details

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The GPT uses a custom Python backend created with GPT assistance for data processing:

Processing Pipeline

  • Custom Python script for file processing
  • Schema-based Excel parsing system
  • Flexible column mapping configuration
  • Automated CSV generation
  • Validation file creation

Required Schema Information

  • Data start row specification
  • Company name column mapping
  • Instrument details column mapping
  • Market value column mapping
  • ISIN number column mapping

Current Use Case

Demonstrates the integration of Custom GPT with Python code for processing monthly mutual fund portfolio disclosures. The system handles various Excel formats, generates standardized outputs, and provides analysis capabilities while showing how GPTs can execute custom code.

Resources

MF Files AI App

Dedicated app for converting raw AMC Excels to the standardized CSV (recommended, faster than the GPT)
Companion GPT: MF Portfolio Processor

Takes the standardized CSV and runs validation, ISIN mapping, duplicate detection, and two-period composition drift
LLM Context (.txt)

Plain-text context file for feeding to AI agents about this GPT
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Built on OpenAI's GPT Platform

Custom GPT built on ChatGPT's Custom GPT framework. No custom UI builds or complex agent setups - just connect, chat, and analyze through the familiar ChatGPT interface.

Bugs,issues,questions? Drop a note: [email protected]