Publisher's Synopsis
Unlock the Power of Algorithmic Trading with Python - A Complete Guide for Traders, Quants, and Developers
Are you ready to take your trading skills to the next level? "Quantitative Trading with Python: From Backtesting to Live Execution" is the ultimate guide to building, testing, and deploying algorithmic trading strategies using Python, machine learning, and artificial intelligence (AI).
Whether you're a beginner trader, quantitative analyst, or hedge fund professional, this book provides step-by-step tutorials, real-world trading models, and in-depth insights into financial markets.
✅ What You Will Learn:
- Algorithmic Trading Fundamentals - Explore the evolution, benefits, and risks of automated trading.
- Python for Trading - Set up your trading environment with Pandas, NumPy, SciPy, and Matplotlib.
- Backtesting Strategies - Learn to test trading algorithms using Backtrader and Zipline.
- Risk Management & Portfolio Optimization - Master position sizing, Monte Carlo simulations, and risk-adjusted returns.
- AI & Machine Learning in Trading - Implement deep learning, LSTMs, and reinforcement learning to predict stock prices.
- High-Frequency Trading (HFT) - Discover how hedge funds and institutions leverage low-latency execution.
- Deploying Trading Bots - Run your strategies on AWS, Google Cloud, and serverless architectures with FastAPI and Docker.
