DeFi Protocols
Master decentralized finance protocols including AMMs, lending platforms, yield farming strategies, and risk management with hands-on Python implementations
DeFi Protocols & Applications
Executive Summary
Decentralized Finance (DeFi) has created a parallel financial system with over $50 billion in total value locked. Unlike traditional finance, DeFi protocols operate through smart contracts—self-executing code that removes intermediaries from lending, trading, and asset management.
This module provides hands-on understanding of the core DeFi primitives: Automated Market Makers (AMMs), lending protocols, and yield optimization strategies. You'll implement the mathematics behind these protocols in Python and learn to evaluate risks that have cost users billions in losses. For practitioners and consultants, DeFi literacy supports product design, risk assessment, and advisory work on digital assets and protocol selection—and supports book and consulting value.
Learning Objectives
By completing this module, you will:
You will understand how Automated Market Makers like Uniswap calculate prices using mathematical formulas instead of traditional order books, enabling permissionless trading through smart contracts that automatically execute trades based on available liquidity and price slippage. You will be able to calculate impermanent loss—the opportunity cost of providing liquidity when prices change—and determine when liquidity provision generates sufficient fees to offset this loss. You will analyze lending protocol mechanics including how interest rates dynamically adjust based on supply and demand (utilization), how liquidation mechanisms protect lenders when borrower collateral becomes insufficient, and how health factors determine when positions become at-risk. You will evaluate yield farming strategies that combine multiple yield sources including trading fees, interest, and governance token rewards while managing risks including impermanent loss, smart contract risk, and protocol risk. You will implement Python tools for DeFi analysis including AMM price calculations, impermanent loss analysis, liquidation simulations, and yield opportunity comparison frameworks.