The Stock Market Automation Course is designed for individuals who want to master trading strategies, automate their trades, and gain deep knowledge of algo trading.

Over 6 months, with two classes per week, this program takes you step-by-step from stock market fundamentals to building and deploying fully automated trading bots using Python and real-time broker APIs like Zerodha, Angel One, and Upstox.

You will learn technical indicators, backtesting, options trading, live automation, and risk management while working on hands-on projects.
By the end of the course, you will have your own trading bot deployed on the cloud — ready for paper trading or real trading — along with a strong foundation in algorithmic trading principles.

This course blends stock market expertise with practical programming skills, making it ideal for aspiring traders, finance students, and anyone looking to explore quantitative finance and FinTech automation.

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Course Highlights

• 🏦 Stock Market Fundamentals: Learn market structure, order types, instruments, and trading psychology.

• 💻 Python for Finance: Build solid coding skills to analyze and automate strategies.

• 📊 Technical Indicators: Master RSI, MACD, Supertrend, Bollinger Bands, ATR, and more.

• 🔁 Backtesting Strategies: Validate strategies with historical data before going live.

• ⚡ Live Market Data: Fetch and process real-time data using broker APIs.

• 🤖 Automated Trading Bots: Design, code, and deploy bots for intraday and options trading.

• 📈 Options Trading Automation: Understand options chain, Greeks, and build automated strategies like straddles and strangles.

• 🧠 Machine Learning Basics: Build a simple stock prediction model.

• ☁️ Cloud Deployment: Host and monitor your bot with AWS or similar platforms.

• 🛡️ Risk Management: Implement proper risk control and hedging techniques.

• 🎓 Capstone Project: Deploy a complete, end-to-end live trading bot as your final project.

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Course Structure

Phase 1: Foundations (Weeks 1-4)

• Stock market basics, order types, and market instruments

• Introduction to technical & fundamental analysis

• Python programming for financial data handling

• Understanding APIs and JSON for data fetching

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Phase 2: Algo Strategy Building (Weeks 5-10)

• Technical indicators and strategy design

• Backtesting strategies with Python

• Building multi-indicator and options-based strategies

• Risk management and capital allocation

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Phase 3: Automation (Weeks 11-14)

• Setting up broker APIs (Zerodha, Angel One, Upstox)

• Automating order execution and paper trading

• Websockets for real-time live data

• Automated intraday and options bots

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Phase 4: Advanced Concepts (Weeks 15-18)

• Cloud deployment and bot monitoring dashboards

• Google Sheets integrations and notifications

• Machine learning basics for predictive trading

• SEBI compliance and ethical algo trading

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Phase 5: Final Projects (Weeks 19-24)

• Building a fully automated bot

• Testing and debugging

• Project presentation and certification ceremony

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Learning Outcomes

By the end of this course, you will:

1. Have a strong understanding of stock market mechanics.

2. Be able to design, code, and backtest multiple trading strategies.

3. Automate live trading using APIs from popular brokers.

4. Deploy bots on the cloud for real-time execution.

5. Gain a portfolio-worthy project to showcase to employers or investors.

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Ideal For:

• Students (Finance, Computer Science, or Economics)

• Aspiring algorithmic traders and quants

• Investors looking to automate their trading

• Software developers interested in FinTech and automation

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Tools & Technologies You’ll Learn

• Programming: Python, Pandas, NumPy, Matplotlib

• APIs: Zerodha Kite, Angel One SmartAPI, Upstox

• Backtesting Libraries: Backtrader, Zipline

• Deployment: Flask, AWS, Cron jobs

• Visualization: Plotly, Google Sheets

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Why Choose This Course?

• Structured step-by-step learning with weekly 2 classes.

• Hands-on projects with real broker APIs.

• Industry-level tools and strategies.

• Lifetime coding and strategy support via Modern Age Coders network.

• Guidance on career paths in algo trading, quant finance, and FinTech.

After purchasing, the course will be automatically added to your account. You can access and watch all the content from your personal dashboard at any time.