Quantitative Trading with Python: From Backtesting to Live Execution: Master Algorithmic Trading with Python: Quantitative Strategies, Backtesting, an

By Jordan Hale

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.

• Format: Paperback
• Language: English
• ISBN: B0DZMLR5JM
• ISBN13: 9798313049175
• Release Date: March 2025
• Publisher: Independently Published
• Length: 250 Pages
• Weight: 1.30 lbs.
• Dimensions: 0.5" x 8.5" x 11.0"