Author Description

Unlock the power of automation, data, and proven strategies to trade smarter in today’s financial markets. Whether you're a beginner with Python skills or an intermediate trader looking to scale your edge, this hands-on guide covers the most effective and widely used algorithmic trading strategies in 2025 — from momentum and mean reversion to machine learning models, options bots, and high-frequency trading frameworks. What You'll Learn The core principles of algorithmic trading and market microstructure How to build, test, and deploy real trading bots in Python Momentum, breakout, arbitrage, and mean reversion strategies AI-based forecasting using machine learning and deep learning Tools for backtesting, performance optimization, and risk control Live deployment using broker APIs, cloud hosting, and alert systems Career paths for quants and freelancers in the algorithmic trading world With Full Code and Real Examples Every strategy is explained with real Python code, charts, and data, so you can build and test your own bots — and deploy them to trade live or on paper. Part of the Finance, Investment and Trading Strategies Series This book is the first in a growing series dedicated to helping traders and technologists master the tools and strategies behind modern markets. If you're serious about using automation to gain an edge — this is your blueprint.