Python-Based Algorithmic TradingProfessional Program (PBATP)
Master Python Programming, Algorithmic Trading, AI & Quantitative Finance. Build, backtest, and deploy professional automated trading systems from scratch.
Our 3-Phase Journey
Python Programming Foundation
Build Python programming from scratch — data handling, automation, problem-solving, and financial library fundamentals.
Financial Market Automation
Collect market data, automate technical analysis, create trading strategies, backtest, and integrate broker APIs.
Professional Algo Implementation
Deploy on cloud servers, automate live trading workflows, monitor portfolios, and complete a real-world capstone project.
10 Modules — Code to Deployment
Python Programming Fundamentals
- Python Setup
- VS Code & Jupyter
- Variables & Data Types
- Loops & Functions
- OOP Basics
- Exception Handling
Python Libraries for Finance
- NumPy
- Pandas
- Matplotlib
- Time Series Analysis
- Excel Automation
- CSV & JSON Handling
Financial Market Data
- Historical Market Data
- Live Market Data
- Data Cleaning
- API Authentication
- WebSocket Basics
- Database Concepts
Technical Indicator Programming
- Moving Averages
- EMA & RSI
- MACD
- Bollinger Bands
- VWAP & Supertrend
- Volume Analysis
Algorithmic Strategy Development
- Trend Following
- Breakout Trading
- Momentum Strategies
- Mean Reversion
- Smart Money Concepts
- Risk-Based Position Sizing
Backtesting & Optimization
- Historical Backtesting
- Walk-Forward Testing
- Drawdown Analysis
- Win Ratio
- Sharpe Ratio
- CAGR
Broker API Integration
- API Concepts
- Order Management
- Live Order Placement
- Automated Stop Loss
- Position Monitoring
- Portfolio Tracking
Cloud Deployment
- VPS Setup
- Cloud Servers
- Remote Desktop
- 24×7 Strategy Execution
- Automated Monitoring
AI & Machine Learning for Finance
- AI in Financial Markets
- Predictive Analytics
- ML Concepts
- Feature Engineering
- Trading Automation
- Future of AI Investing
Capstone Project
- Market Data Collection
- Strategy Design
- Backtesting
- Risk Management
- Paper Trading
- Live Deployment
What You Will Build
📊 Trading Signal Generator
🔍 Technical Indicator Scanner
🧾 Stock Screening System
💼 Portfolio Tracker
⚙️ Auto Trade Executor
🛡️ Risk Management Engine
📈 Strategy Backtesting Framework
📋 Daily Market Dashboard
🤖 AI-Based Trading Assistant (Basic)
Who Should Join?
Learn from India’s Leading
Financial Market Expert
With 15+ years of experience, 17,000+ students trained, and a proven track record of building successful traders and investors — Dr. Subhransu Sekhar Jena brings unmatched expertise to every session.
SEBI Registered Research Analyst — Licensed by SEBI to provide research and investment guidance.
NIFM Certified — Programs certified by NIFM (Autonomous), Ministry of Finance.
Live Market Training — Daily live sessions from 9 AM with real market analysis.
Certification & Career Opportunities
Receive a Professional Certification in Python-Based Algorithmic Trading from Smart Disha Academy upon successful completion.
Start Building Your Algo Trading Systems
Free counselling — zero pressure, zero obligation.
Disclaimer: This program is for educational purposes. Algorithmic trading involves financial risk. Completion does not authorize regulated activities without meeting applicable SEBI, exchange, and broker requirements.