Quantitative Trading with ML Course

Course Curriculum

Build real trading algorithms using machine learning and quantitative finance

Financial Markets & Data

Introduction to financial markets, instruments, and how to acquire and clean financial data for analysis.

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Technical Analysis & Indicators

Learn technical analysis fundamentals and implement popular trading indicators using Python.

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Time Series Analysis

Master time series forecasting techniques specifically designed for financial data and price prediction.

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Momentum Trading Strategy

Build your first algorithmic trading strategy based on momentum indicators and machine learning signals.

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Risk Management & Position Sizing

Learn essential risk management techniques and optimal position sizing algorithms for trading strategies.

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Portfolio Optimization

Implement modern portfolio theory and machine learning approaches to optimize multi-asset portfolios.

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Sentiment Analysis Trading

Use natural language processing to analyze market sentiment from news and social media for trading signals.

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Backtesting & Strategy Evaluation

Build robust backtesting frameworks and learn how to properly evaluate and validate trading strategies.

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What You'll Build

Complete momentum trading algorithm with ML signals
Risk management and position sizing system
Multi-asset portfolio optimization framework
Sentiment analysis trading bot
Comprehensive backtesting and evaluation system
Real-time trading dashboard and monitoring tools

Master Algorithmic Trading with Machine Learning

This advanced course combines quantitative finance with machine learning to create sophisticated trading strategies. You'll learn to analyze market data, build predictive models, and implement automated trading systems using real financial datasets.

From fundamental analysis to advanced portfolio optimization, you'll gain the skills needed to work in quantitative finance, hedge funds, or develop your own trading algorithms.

Prerequisites

Completed AI/ML Fundamentals course
Strong Python programming skills
Basic understanding of financial markets and instruments
Familiarity with statistics and probability
Experience with pandas and NumPy

Technologies & Libraries

Python: Primary programming language
pandas: Data manipulation and analysis
NumPy: Numerical computing
scikit-learn: Machine learning algorithms
yfinance: Financial data retrieval
backtrader: Backtesting framework
TA-Lib: Technical analysis indicators
matplotlib/plotly: Data visualization

Ready to Start Trading!

This course is now available! You'll build real trading algorithms using machine learning and work with actual market data from major exchanges.

What You'll Build: Complete algorithmic trading system with backtesting, risk management, and live market integration.