Trading Automation & Systems Masterclass
The systems half of quant, done properly: build, backtest and deploy automated trading systems in Python, with broker APIs, risk controls and real production discipline.
Syllabus updated August 2026
Flexible course duration
Duration depends on the student's background and pace. Beginners (kids / teens): typically 6 to 9 months. Adults with prior knowledge: often shorter, with an accelerated path.
For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.
Ready to Master Trading Automation Course: Bots, Backtesting & Systems?
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Rated 4.9 across 547 Google reviews. Free demo first, no card needed. Monthly billing, cancel anytime.
International Students (Outside India)
Billed monthly in US dollars, the same price in every country. Contact us with any questions.
Program Overview
Building a strategy is one skill; running it reliably, unattended, with real safeguards is another, and this course teaches the second one. It is an engineering course, not a money-making pitch: Python for finance, technical and fundamental analysis in code, strategy design and rigorous backtesting, then portfolio theory and risk-management systems, machine learning for trading, and the part most courses skip entirely, connecting to broker APIs, paper trading, and building live systems with monitoring, logging, compliance awareness and the safeguards that stop an automated system doing real damage. Throughout, the message is repeated and honest: markets carry real risk of loss, backtests do not predict the future, and this is education, not financial advice. A finale month builds and paper-deploys a full automated system and sits the final exam.
The pace is honest: ten teaching months at two live classes a week plus four to six hours of practice, with two more in hand. Problem sets, monthly mixed reviews, phase exams, and a final exam that decides the certificate with a free retest.
What Makes This Program Different
- The systems half done right: from backtest to reliable, monitored, unattended execution
- Broker APIs and paper trading taught hands-on, the step most courses skip
- Safeguards as a core topic: the controls that stop an automated system causing harm
- Production engineering: deployment, monitoring, logging and compliance awareness
- Honest about risk on every page: education, not financial advice, no profit claims
- Real assessment: weekly problem sets, monthly mixed reviews, phase exams and a final exam with a free retest
Your Learning Journey
Career Progression
Detailed Course Curriculum
Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.
Topics Covered
- What is algorithmic trading? History and evolution
- Financial markets overview: stocks, bonds, commodities, forex
- Market participants: retail, institutional, market makers
- Exchanges and trading venues: NYSE, NASDAQ, NSE, BSE
- Order types: market, limit, stop-loss, stop-limit
- Bid-ask spread and market microstructure
- Trading hours and market sessions
- Settlement and clearing processes
- Regulatory environment: SEC, SEBI, regulations
- Market indices: S&P 500, Nifty, Sensex
- Economic indicators and their impact
- Introduction to fundamental analysis
Projects You Build
- Market research report on major indices
- Trading account setup (paper trading)
- Market terminology glossary
Practice & Assignments
Daily market observation and journaling
Topics Covered
- Long vs short positions
- Margin trading and leverage
- Market volatility and VIX
- Trading psychology and behavioral finance
- Common trading mistakes and biases
- Position sizing basics
- Risk-reward ratios
- Trading costs: commissions, slippage, spreads
- Dividends and corporate actions
- Stock splits and bonus shares
- Market cycles and trends
- Introduction to derivatives: futures and options
Projects You Build
- Paper trading diary with 10 trades
- Risk-reward calculator
- Trading cost analyzer
Practice & Assignments
Execute 20 paper trades with analysis
Topics Covered
- Python environment setup for trading
- Anaconda and Jupyter for finance
- Essential libraries: NumPy, Pandas
- Financial data structures in Python
- Date and time handling for markets
- Working with financial data types
- Data cleaning for financial data
- Basic statistics with Python
- Visualization with Matplotlib
- Plotly for interactive charts
- Git for version control
- Project structure for trading systems
Projects You Build
- Python trading environment setup
- Stock price data analyzer
- Market statistics calculator
Practice & Assignments
Complete 30 Python finance exercises
Topics Covered
- Yahoo Finance API with yfinance
- Alpha Vantage API integration
- NSE/BSE data sources
- Real-time vs historical data
- WebSocket connections for live data
- Data storage: CSV, databases, HDF5
- Time series data management
- Corporate actions data handling
- Economic data from FRED
- Alternative data sources
- Data quality and validation
- Building a data pipeline
Projects You Build
- Multi-source data fetcher
- Historical data downloader
- Real-time price tracker
- Financial database creator
Practice & Assignments
Collect data for 100 stocks
Topics Covered
- Price action and candlestick patterns
- Support and resistance levels
- Trend lines and channels
- Chart patterns: head and shoulders, triangles, flags
- Moving averages: SMA, EMA, WMA
- Moving average crossovers
- Volume analysis and interpretation
- Market breadth indicators
- Dow Theory principles
- Elliott Wave basics
- Fibonacci retracements and extensions
- Japanese candlestick patterns
Projects You Build
- Candlestick pattern detector
- Support/resistance calculator
- Moving average strategy implementation
- Chart pattern recognition system
Practice & Assignments
Analyze 50 charts with technical analysis
Topics Covered
- Momentum indicators: RSI, Stochastic
- MACD and signal lines
- Bollinger Bands implementation
- ATR (Average True Range)
- ADX (Average Directional Index)
- Volume indicators: OBV, VWAP
- Ichimoku Cloud components
- Custom indicator development
- Indicator optimization
- Multi-timeframe analysis
- Indicator backtesting
- TA-Lib library usage
Projects You Build
- Technical indicator library
- Custom indicator creator
- Multi-indicator dashboard
- Indicator signal generator
Practice & Assignments
Implement 20 technical indicators from scratch
Topics Covered
- Financial statements analysis
- P/E, P/B, and valuation ratios
- Revenue and earnings analysis
- Cash flow analysis
- Debt and leverage metrics
- ROE, ROA, ROCE calculations
- Sector comparison metrics
- Earnings calendar tracking
- Insider trading data
- Analyst recommendations scraping
- News sentiment analysis
- Fundamental data APIs
Projects You Build
- Fundamental analysis screener
- Earnings announcement tracker
- Financial ratio calculator
- Company comparison tool
Practice & Assignments
Analyze 30 companies fundamentally
Topics Covered
- Stock screening strategies
- Sector rotation analysis
- Market regime detection
- Correlation analysis
- Beta calculation and usage
- Relative strength analysis
- Market sentiment indicators
- Options flow analysis basics
- Unusual activity detection
- Pre-market and after-hours analysis
- Global market correlations
- Economic calendar integration
Projects You Build
- Advanced stock screener
- Market regime identifier
- Correlation matrix builder
- Sentiment analysis system
Practice & Assignments
Build 10 different screening strategies
Topics Covered
- Types of trading strategies
- Trend following strategies
- Mean reversion strategies
- Momentum strategies
- Breakout strategies
- Pairs trading and arbitrage
- Market making basics
- Strategy hypothesis formation
- Entry and exit rules
- Position sizing methods
- Stop-loss and take-profit logic
- Strategy documentation
Projects You Build
- Moving average crossover strategy
- RSI mean reversion strategy
- Breakout trading system
- Pairs trading strategy
Practice & Assignments
Design 10 trading strategies
Topics Covered
- Backtesting concepts and pitfalls
- Look-ahead bias and survivorship bias
- Vectorized backtesting with Pandas
- Event-driven backtesting
- Backtrader framework
- Zipline backtesting engine
- Custom backtesting framework
- Transaction cost modeling
- Slippage simulation
- Market impact modeling
- Walk-forward analysis
- Out-of-sample testing
Projects You Build
- Custom backtesting engine
- Strategy comparison framework
- Walk-forward optimizer
- Monte Carlo simulator
Practice & Assignments
Backtest 20 strategies
Topics Covered
- Returns calculation methods
- Sharpe ratio and risk-adjusted returns
- Maximum drawdown analysis
- Calmar and Sortino ratios
- Win rate and profit factor
- Value at Risk (VaR)
- Conditional VaR (CVaR)
- Performance attribution
- Benchmark comparison
- Rolling performance metrics
- Trade analysis and statistics
- Performance reporting
Projects You Build
- Performance analytics dashboard
- Risk metrics calculator
- Trade journal analyzer
- Strategy report generator
Practice & Assignments
Analyze 15 strategy performances
Topics Covered
- Parameter optimization techniques
- Grid search optimization
- Random search methods
- Bayesian optimization
- Genetic algorithms for trading
- Machine learning for optimization
- Overfitting prevention
- Robust parameter selection
- Multi-objective optimization
- Strategy combination methods
- Ensemble strategies
- Adaptive strategies
Projects You Build
- Parameter optimizer tool
- Genetic algorithm optimizer
- Strategy ensemble system
- Adaptive strategy framework
Practice & Assignments
Optimize 10 strategies
Assessment
Phase 1 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Portfolio theory foundations
- Expected returns and variance
- Covariance and correlation in portfolios
- Efficient frontier construction
- Capital Asset Pricing Model (CAPM)
- Beta and systematic risk
- Alpha generation concepts
- Multi-factor models
- Fama-French factors
- Risk parity strategies
- Black-Litterman model
- Portfolio rebalancing strategies
Projects You Build
- Efficient frontier calculator
- CAPM implementation
- Portfolio optimizer
- Risk parity portfolio builder
Practice & Assignments
Build 10 optimal portfolios
Topics Covered
- Types of financial risk
- Market risk measurement
- Credit risk basics
- Liquidity risk management
- Operational risk in trading
- Position sizing techniques
- Kelly criterion implementation
- Risk budgeting methods
- Stress testing portfolios
- Scenario analysis
- Risk limits and controls
- Real-time risk monitoring
Projects You Build
- Risk management dashboard
- Position sizing calculator
- Risk limit monitor
- Stress testing framework
Practice & Assignments
Implement 15 risk management techniques
Topics Covered
- Statistical arbitrage strategies
- Cointegration and pairs trading
- Options strategies: covered calls, spreads
- Delta hedging techniques
- Volatility trading strategies
- Calendar spread strategies
- Sector rotation strategies
- Factor-based strategies
- Smart beta strategies
- Alternative risk premia
- Carry trade strategies
- Global macro strategies
Projects You Build
- Statistical arbitrage system
- Options strategy builder
- Volatility trading bot
- Factor rotation strategy
Practice & Assignments
Implement 20 advanced strategies
Topics Covered
- Order book dynamics
- Market depth analysis
- Liquidity provision strategies
- Optimal execution algorithms
- TWAP and VWAP execution
- Implementation shortfall
- Dark pools and alternative trading
- High-frequency trading concepts
- Latency optimization basics
- Co-location advantages
- Smart order routing
- Transaction cost analysis
Projects You Build
- Order book analyzer
- VWAP execution algorithm
- Market impact estimator
- Smart order router
Practice & Assignments
Build 10 execution algorithms
Topics Covered
- Machine learning in finance overview
- Supervised learning for trading
- Feature engineering for markets
- Technical indicators as features
- Fundamental data features
- Alternative data features
- Train-test splitting for time series
- Cross-validation for trading
- Overfitting in financial ML
- Feature selection methods
- Data preprocessing for trading
- Label engineering for trading signals
Projects You Build
- ML feature engineering pipeline
- Trading signal predictor
- Feature importance analyzer
- ML data preparation tool
Practice & Assignments
Engineer 100 trading features
Topics Covered
- Logistic regression for signals
- Support Vector Machines for trading
- Random Forests for prediction
- Gradient boosting: XGBoost, LightGBM
- Neural networks for trading
- Ensemble methods for signals
- Price prediction models
- Direction prediction models
- Volatility forecasting
- Multi-class classification for signals
- Probability calibration
- Model interpretation for trading
Projects You Build
- ML signal generator
- Price prediction system
- Ensemble trading model
- ML strategy builder
Practice & Assignments
Train 20 ML trading models
Topics Covered
- Deep learning in finance
- LSTM for time series prediction
- GRU networks for trading
- CNN for pattern recognition
- Attention mechanisms for trading
- Transformer models for markets
- Autoencoders for anomaly detection
- GANs for synthetic data
- Reinforcement learning basics
- Deep Q-Learning for trading
- Policy gradient methods
- Multi-agent trading systems
Projects You Build
- LSTM price predictor
- Deep learning trading bot
- RL trading agent
- Transformer-based strategy
Practice & Assignments
Build 10 deep learning models
Topics Covered
- Alternative data sources for trading
- News sentiment analysis
- Social media sentiment: Twitter, Reddit
- Earnings call transcripts analysis
- SEC filings analysis
- Web scraping for trading signals
- Satellite data for trading
- NLP preprocessing for finance
- Named entity recognition for stocks
- Topic modeling for market themes
- Event detection from text
- Real-time sentiment pipeline
Projects You Build
- News sentiment trading system
- Social media signal generator
- Earnings call analyzer
- Alternative data pipeline
Practice & Assignments
Process 10 alternative data sources
Topics Covered
- Model deployment strategies
- Real-time inference for trading
- Model versioning and management
- A/B testing trading models
- Model monitoring in production
- Drift detection for financial models
- Model retraining pipelines
- Feature stores for trading
- MLOps for trading systems
- Cloud deployment for ML models
- Edge deployment for low latency
- Model governance and compliance
Projects You Build
- ML model deployment pipeline
- Model monitoring dashboard
- Automated retraining system
- Production ML trading system
Practice & Assignments
Deploy 5 ML models to production
Topics Covered
- Interactive Brokers API
- Alpaca Trading API
- TD Ameritrade API
- Zerodha Kite Connect
- FIX protocol basics
- WebSocket connections for real-time data
- Order management systems
- Order routing logic
- API authentication and security
- Rate limiting handling
- Error handling and recovery
- Connection redundancy
Projects You Build
- Multi-broker connector
- Order management system
- Real-time data aggregator
- API abstraction layer
Practice & Assignments
Connect to 5 different brokers
Topics Covered
- Paper trading environment setup
- Simulated order execution
- Paper trading engines
- Real-time paper trading
- Strategy deployment for paper trading
- Performance tracking
- Paper vs live trading differences
- Transitioning to live trading
- Risk controls for paper trading
- Paper trading best practices
- Multiple strategy management
- Portfolio paper trading
Projects You Build
- Paper trading platform
- Strategy deployment system
- Performance tracker
- Risk monitor for paper trading
Practice & Assignments
Paper trade 10 strategies for 30 days
Topics Covered
- Live trading infrastructure
- Production system architecture
- Order execution engines
- Risk management systems
- Position tracking and P&L
- Real-time monitoring dashboards
- Alerting and notifications
- Fail-safe mechanisms
- Circuit breakers implementation
- Disaster recovery planning
- System redundancy and backup
- Round-the-clock operation considerations
Projects You Build
- Live trading engine
- Risk management system
- Monitoring dashboard
- Alert system implementation
Practice & Assignments
Build complete live trading infrastructure
Topics Covered
- Cryptocurrency markets overview
- Crypto exchanges: Binance, Coinbase
- Crypto trading APIs
- Round-the-clock trading considerations
- Crypto-specific strategies
- Arbitrage in crypto markets
- DeFi and automated market makers
- Stablecoin strategies
- Cross-exchange arbitrage
- Crypto portfolio management
- Tax implications for crypto
- Regulatory considerations
Projects You Build
- Crypto trading bot
- Arbitrage detection system
- DeFi yield optimizer
- Multi-exchange trading platform
Practice & Assignments
Trade 10 crypto strategies
Assessment
Phase 2 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Options fundamentals review
- Greeks: Delta, Gamma, Theta, Vega, Rho
- Options pricing models: Black-Scholes
- Binomial option pricing
- Implied volatility calculation
- Volatility surfaces and skew
- Options market making
- Delta-neutral strategies
- Options arbitrage strategies
- Automated options screening
- Risk management for options
- Options backtesting challenges
Projects You Build
- Options pricing calculator
- Greeks dashboard
- Options strategy backtester
- Volatility trading system
Practice & Assignments
Implement 15 options strategies
Topics Covered
- Futures markets overview
- Futures pricing and basis
- Calendar spreads in futures
- Commodity trading strategies
- Interest rate futures
- Currency futures trading
- Index futures strategies
- Futures arbitrage
- Roll strategies
- Margin requirements management
- Delivery and settlement
- Futures data handling
Projects You Build
- Futures trading system
- Spread trading bot
- Commodity trading strategy
- Futures arbitrage detector
Practice & Assignments
Build 10 futures strategies
Topics Covered
- HFT strategies overview
- Market making algorithms
- Statistical arbitrage HFT
- Latency arbitrage
- Order book imbalance strategies
- Tick data processing
- Ultra-low latency systems
- FPGA and hardware acceleration
- Co-location benefits
- Network optimization
- HFT risk management
- Regulatory considerations for HFT
Projects You Build
- HFT simulator
- Market making bot
- Latency measurement tool
- Order book strategy
Practice & Assignments
Simulate 5 HFT strategies
Topics Covered
- Bond markets and pricing
- Yield curve strategies
- Duration and convexity
- Credit spread trading
- Government bond strategies
- Corporate bond trading
- Forex market structure
- Currency pair strategies
- Carry trade implementation
- Forex arbitrage
- Central bank policy trading
- Cross-asset strategies
Projects You Build
- Bond trading system
- Yield curve analyzer
- Forex trading bot
- Carry trade optimizer
Practice & Assignments
Develop 10 fixed income/forex strategies
Topics Covered
- Advanced risk metrics
- Expected Shortfall (ES)
- Stressed VaR
- Backtesting VaR models
- Extreme value theory
- Copula models for risk
- Credit risk modeling
- Counterparty risk
- Liquidity risk modeling
- Model risk management
- Risk aggregation methods
- Regulatory capital calculations
Projects You Build
- Advanced risk system
- VaR backtesting framework
- Credit risk model
- Risk aggregation platform
Practice & Assignments
Implement 10 risk models
Topics Covered
- System architecture for trading
- Microservices for trading systems
- Message queuing: RabbitMQ, Kafka
- Event-driven architectures
- Database design for trading
- Time-series databases: InfluxDB
- In-memory databases: Redis
- Data lakes for trading
- Distributed systems design
- System scalability patterns
- High availability design
- Disaster recovery planning
Projects You Build
- Microservices trading platform
- Event-driven trading system
- Scalable data architecture
- HA trading infrastructure
Practice & Assignments
Design 5 trading architectures
Topics Covered
- AWS for trading systems
- EC2 and auto-scaling
- S3 for data storage
- Lambda for serverless trading
- RDS and DynamoDB for trading data
- Google Cloud Platform for trading
- Azure for financial services
- Kubernetes for trading apps
- Docker containerization
- CI/CD for trading systems
- Infrastructure as Code
- Cloud cost optimization
Projects You Build
- Cloud-native trading platform
- Serverless trading functions
- Kubernetes trading deployment
- Multi-cloud trading system
Practice & Assignments
Deploy to 3 cloud providers
Topics Covered
- Monitoring trading systems
- Prometheus and Grafana
- ELK stack for logging
- Application performance monitoring
- Trading metrics and KPIs
- Real-time alerting systems
- Anomaly detection in monitoring
- Distributed tracing
- Performance profiling
- System health checks
- SLA monitoring
- Incident response procedures
Projects You Build
- Monitoring dashboard
- Alert management system
- Performance analyzer
- Incident response toolkit
Practice & Assignments
Monitor 10 trading systems
Topics Covered
- Financial regulations overview
- MiFID II requirements
- Best execution obligations
- Market abuse regulations
- Trade reporting requirements
- Audit trail maintenance
- Data retention policies
- KYC and AML in trading
- Risk disclosure requirements
- Compliance monitoring systems
- Regulatory reporting automation
- License requirements
Projects You Build
- Compliance monitoring system
- Audit trail generator
- Regulatory reporting tool
- Risk disclosure system
Practice & Assignments
Implement compliance for 5 systems
Topics Covered
- Testing strategies for trading systems
- Unit testing trading logic
- Integration testing
- End-to-end testing
- Performance testing
- Stress testing systems
- Chaos engineering for trading
- Test data management
- Mock trading environments
- Continuous testing
- Test automation frameworks
- Quality metrics
Projects You Build
- Testing framework for trading
- Stress testing suite
- Mock trading environment
- Quality assurance dashboard
Practice & Assignments
Test 10 trading systems comprehensively
Topics Covered
- Deep reinforcement learning for trading
- Multi-agent reinforcement learning
- Evolutionary algorithms for strategy discovery
- Genetic programming for trading rules
- Neural architecture search for trading
- Transfer learning in finance
- Few-shot learning for markets
- Online learning for adaptation
- Federated learning for trading
- Explainable AI for trading
- Causal inference in markets
- Quantum computing for finance basics
Projects You Build
- Advanced RL trading agent
- Strategy evolution system
- Adaptive learning trader
- Explainable AI dashboard
Practice & Assignments
Implement 10 advanced ML techniques
Topics Covered
- Market making strategies
- Inventory management
- Quote generation algorithms
- Spread optimization
- Adverse selection mitigation
- Order book modeling
- Queue position strategies
- Cross-market making
- Options market making
- Risk management for market makers
- Regulatory requirements for market makers
- Market maker profitability
Projects You Build
- Market making simulator
- Quote generation engine
- Inventory manager
- Market maker risk system
Practice & Assignments
Build 5 market making strategies
Topics Covered
- Dark pools and ATSs
- Decentralized exchanges (DEXs)
- Automated market makers (AMMs)
- Liquidity pools and yield farming
- Flash loans and arbitrage
- Cross-chain trading
- NFT trading automation
- Prediction markets trading
- Binary options automation
- Social trading platforms
- Copy trading systems
- Signal provider systems
Projects You Build
- DEX trading bot
- AMM strategy implementation
- Cross-chain arbitrage bot
- Social trading platform
Practice & Assignments
Trade on 5 alternative venues
Assessment
Phase 3 exam: a practical build defended live, plus a written paper mixing this phase with everything before it
Topics Covered
- Choosing the capstone: a full automated trading system, paper-deployed: strategy, risk controls, broker connectivity, monitoring and safeguards
- A one-page spec: scope, milestones, stack
- Repository and skeleton ready on day one
- Instructor sign-off before the build begins
Projects You Build
- Approved capstone spec plus the running skeleton
Practice & Assignments
Pitch the spec to the batch and absorb one hard question
Topics Covered
- Two focused weeks in vertical slices
- Instructor checkpoints and honest scope cuts
- Using the whole course: Python engineering, backtesting, risk systems, broker APIs and production monitoring
- Daily commits and an always-working build
Projects You Build
- The capstone, feature-complete with version control
Practice & Assignments
A working build at the end of every session
Topics Covered
- The finishing pass: edge cases, errors, documentation
- Paper-deployed and monitored: a system that runs unattended with real safeguards, on paper trading
- A README worth reading and a demo worth watching
- A full-course spiral review before the exam
Projects You Build
- The capstone shipped, documented and rehearsed
Practice & Assignments
Two mock demos, each tighter than the last
Topics Covered
- Presenting the capstone: live demo plus the hardest bug story
- The honest map of next roads: quant developer, trading-systems engineer or fintech roles; trading your own capital is a personal decision, not a placement
- Where our other courses continue the journey
Projects You Build
- Demo day presentation delivered to the batch
Assessment
FINAL EXAM: a practical build plus a written paper with questions mixed from every phase. Passing earns the certificate; falling short earns a focused revision plan and a free retest
Projects You'll Build
Build a professional portfolio with 15+ engineering projects, crowned by a paper-deployed automated system real-world projects.
Weekly Learning Structure
Certification & Recognition
Technologies & Skills You'll Master
Comprehensive coverage of the entire modern web development stack.
Support & Resources
Career Outcomes & Opportunities
Transform your career with industry-ready skills and job placement support.
Prerequisites
Who Is This Course For?
Career Paths After Completion
Salary & Market Context
The ranges below are general market salary bands for these roles in India and abroad, drawn from public industry data. They are shown for career context only and are not a promise or guarantee of income. Actual pay depends on your skills, experience, location, and the job market.
Course Guarantees
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What families say
Straight from the parents and students who learn with us. Rated 4.9 across 547 Google reviews.
“Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding… truly amazing class.”
“I absolutely love it here! I made new friends and learned important valuable coding skills while having the fun of my life. It's not just coding here, it's outings, bonding and most importantly preparing you for your future. Definitely five stars.”
“What stands out most is how excited my son is before every class. He looks forward to learning, problem-solving, and sharing what he's built. I've noticed a big boost in his confidence!”
“Modern Age Coders has been a game-changer for me! I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I'm now the topper in my class and can confidently write complex programs with ease.”
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