Tokenization into commodity with Python

Introduction

The asset cannot be broken down into smaller parts with comparable risk for resale owing to regulation in the traditional financial system. Smart contracts in blockchain can tackle this problem by tokenizing financial assets into known commodities. This paper proposed two tokenization algorithms that applied to the artificial Forex dataset. The ERC1155-based smart contract is implemented and applied to the algorithms' output to perform sold-out and secondary market steps.

Dataset

We collected data from Forex Software and Bank for International Settlements.

• Historical Forex data
• Risk-free interest rate