Module 1: Introduction to Algorithmic Trading

• What is Algorithmic Trading?
• History of Algorithmic Trading
• Key Benefits and Risks
• Manual vs Algorithmic Trading
• Overview of Financial Markets and Instruments (stocks, futures, options, forex)
• Regulatory Framework for Algo Trading

Module 2: Basics of Financial Markets and Instruments

• Types of Financial Markets
• Types of Orders (market, limit, stop-loss)
• Market Participants (retail traders, institutions, market makers)
• Trading Platforms (MT4, Interactive Brokers, etc.)
• Introduction to Market Data (price, volume, bids/asks)

Module 3: Introduction to Trading Strategies

• Simple Moving Average (SMA) and Exponential Moving Average (EMA)
• Mean Reversion Strategies
• Momentum Trading Strategies
• Pair Trading Basics
• Introduction to Backtesting (concept and tools)

Module 4: Basics of Coding for Algorithmic Trading

• Introduction to Python Programming
• Installing and Setting Up a Trading Environment (IDE, libraries, APIs)
• Python Libraries for Trading (Pandas, Numpy, Matplotlib)
• Introduction to Algorithmic Trading APIs (e.g., Alpaca, Interactive Brokers API)