Python Asset Optimisation for Financial Data
Budget: $250 – $750 AUD
I'm looking for a Python expert with hands-on experience in financial data optimization. The goal of this project is to create a Python code that can optimize assets based on a user's profile and risk preferences.
Key Responsibilities:
- Create a Python code that finds the optimal asset mix for a user's portfolio by balancing returns and risks.
- Work with available financial data, including stock prices, bond yields, and cryptocurrency data.
Ideal Candidate:
- Proven experience in using Python libraries, such as PyPortfolioOpt, QuantLib, Zipline and Riskfolio-Lib.
- Strong understanding of financial data and its analysis.
- Experience in building algorithms for optimising assets.
This project requires a freelancer who can understand the intricacies of financial data and can create a robust code that will help users make informed decisions about their portfolio mix.
Key Responsibilities:
- Create a Python code that finds the optimal asset mix for a user's portfolio by balancing returns and risks.
- Work with available financial data, including stock prices, bond yields, and cryptocurrency data.
Ideal Candidate:
- Proven experience in using Python libraries, such as PyPortfolioOpt, QuantLib, Zipline and Riskfolio-Lib.
- Strong understanding of financial data and its analysis.
- Experience in building algorithms for optimising assets.
This project requires a freelancer who can understand the intricacies of financial data and can create a robust code that will help users make informed decisions about their portfolio mix.