"Become a certified algorithmic trader and learn how to create, backtest, and automate your own profitable trading strategies — even if you’re not a coder! 💻📈"

Course Modules

Module 1: Introduction to Algorithmic Trading

• What is algo trading and how it works

• Manual vs automated trading

• Benefits of automation: speed, accuracy, emotion-free trading

• Overview of algo trading platforms and APIs

Module 2: Market Basics for Algorithmic Traders

• Recap of stock market & trading concepts

• Order types (limit, market, stop-loss, etc.)

• Understanding live data feeds, tick data, and execution models

Module 3: Building Your First Trading Strategy

• Designing a rule-based trading system

• Selecting indicators and conditions

• Backtesting vs paper trading

• Measuring profitability (win ratio, drawdown, Sharpe ratio)

Module 4: Introduction to Python for Trading (No Coding Experience Needed!)

• Basics of Python programming (variables, loops, functions)

• Using Python libraries like Pandas, Numpy, and Matplotlib

• Fetching stock market data using APIs

• Automating simple strategies

Module 5: Building & Backtesting Algorithms

• Using backtesting tools and platforms

• Creating sample intraday and swing algorithms

• Understanding live execution and broker APIs (Zerodha, Alice Blue, Angel One, etc.)

• Handling risk and money management in algos

Module 6: Going Live – From Code to Real Market

• Connecting your strategy to a broker API

• Running real-time strategies safely

• Monitoring performance and logs

• Avoiding common mistakes in live trading

Module 7: Risk Management & Optimization

• Risk-reward optimization

• Diversifying algos across strategies and timeframes

• Building a stable, long-term algo portfolio