Algorithmic Trading Course

This comprehensive Algo Trading Course is designed for traders, investors, and developers who want to learn algorithmic trading in the Indian stock market. The course covers everything from basics to advanced strategies, including automated trading systems, coding algorithms, backtesting, and deploying strategies in live markets.

What You Will Learn:

✔ Introduction to Algo Trading: Understanding algorithmic trading and its advantages in the Indian market.
✔ Market Basics: Indian stock exchanges (NSE, BSE), order types, market depth, and trading instruments.
✔ Programming for Algo Trading: Python and its libraries (Pandas, NumPy, TA-Lib, etc.) for financial data analysis.
✔ Data Handling & API Integration: Fetching real-time market data using Upstox, Zerodha Kite, Angel One APIs, etc.
✔ Backtesting & Strategy Development: How to test trading strategies with historical data before deploying them in live markets.
✔ Technical Indicators & Strategies: Moving Averages, RSI, MACD, Bollinger Bands, VWAP, Supertrend, etc.
✔ Risk Management & Position Sizing: Managing risk to maximize profits and minimize losses.
✔ Live Algo Deployment: Automating trade execution with broker APIs and cloud-based servers.
✔ Compliance & Regulations: SEBI guidelines and legal aspects of algorithmic trading in India.

Who Should Take This Course?

✅ Beginners looking to enter the world of algorithmic trading.
✅ Retail Traders & Investors who want to automate their trading strategies.
✅ Developers & Programmers interested in financial market automation.
✅ Finance Professionals & Analysts looking to enhance their skill set.

Prerequisites:

📌 Basic understanding of stock markets and trading.
📌 Familiarity with Python programming (not mandatory but helpful).

Course Benefits:

🎯 Gain hands-on experience in building real-world algo trading systems.
🎯 Learn to backtest and optimize high-frequency trading strategies.
🎯 Get guidance on regulatory compliance and avoid pitfalls in algo trading.
🎯 Automate trading and minimize emotional biases.

Mode of Learning:

📅 Online sessions with practical live coding.
📚 Access to trading scripts, templates, and real-time case studies.