PORTVON
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Overview

You bring the investment strategy. I build the Python implementation.

If you already have a strategy idea, whether it is a custom screener, a backtest, a portfolio optimization routine, or any other finance-related logic, I can turn it into clean, documented, working Python code.

This is a technical build service. You define what the strategy does. I focus on writing code that executes it reliably, with proper structure, error handling, and documentation so you can run it, audit it, and extend it yourself.

How It Works
[ STEP 01 ]
Discovery
You describe the strategy, the inputs, the expected outputs, and any specific requirements.
[ STEP 02 ]
Quote & Scope
I assess complexity and share a fixed quote, clear timeline, and defined deliverables in writing.
[ STEP 03 ]
Build
I write, test, and document the code. One round of revisions is included within the agreed scope.
[ STEP 04 ]
Delivery
You receive the Python code, a README with setup and usage instructions, and sample outputs.
Scope
What's Included
  • Clean, modular Python code
  • Code comments and documentation
  • README with setup instructions
  • Example usage and sample output
  • One round of revisions within scope
  • Basic testing on sample data
What's Not Included
  • Investment advice or strategy recommendations
  • Live trading integration or broker setup
  • Ongoing maintenance or updates
  • Scope changes after the agreement
  • Premium data feeds or paid API costs
  • Performance guarantees of any kind
Contact

Ready to start?

Send a short email describing your strategy idea, the inputs it needs, and what you want the output to look like. I will review it and come back with a quote and timeline.

Response time: usually within 2 business days

Disclaimer

This is a technical coding service only. It does not constitute investment, financial, legal, or tax advice. The choice of strategy, assumptions, and any decisions based on the delivered code are entirely the client's responsibility. All code is delivered for educational and research purposes.