Master Quantitative & Algorithmic Trading with Python, AI, and AutomationWhat if your trading could run 24/7 — analyzing data, learning from the markets, and executing profitable trades automatically while you sleep?
Most traders lose not because of bad ideas, but because of emotions, inconsistency, and lack of a system. In today’s AI-driven world, the real winners are those who let data and automation do the work.
This book is your complete blueprint to becoming a modern quantitative trader.You’ll learn step-by-step how to build, test, and deploy your own automated trading systems using Python, machine learning, and AI — the same technologies powering hedge funds and trading firms worldwide.
Whether you’re a retail trader, developer, or finance student, this book takes you from zero to professional-grade quant trading.
Inside, you’ll learn how to:Understand quantitative and algorithmic trading fundamentals.
Code trading strategies in Python using libraries like Pandas, NumPy, Backtrader, and scikit-learn.
Apply machine learning and AI to predict trends and enhance strategies.
Perform robust backtesting and avoid pitfalls like overfitting and data leakage.
Automate your system with broker APIs (Alpaca, Binance, Interactive Brokers).
Build risk-management frameworks that protect and grow your capital.
Deploy, monitor, and scale your own fully automated trading bots.
Who this book is for:Traders who want to replace emotion with logic and automation.
Developers exploring financial data science.
Professionals preparing for quant, fintech, or AI-driven trading careers.
Anyone who wants to understand how AI and automation are transforming markets.
By the end of this book, you’ll have the tools and confidence to design, test, and run your own quantitative trading systems — powered by data, algorithms, and AI.
Build. Backtest. Automate. Trade the future.
Deepanshu Suman is an entrepreneur, programmer, market strategist, and author. He combines technology, finance, and business insights to help readers understand market structure, high-probability setups, and scalable systems. Through his books, Deepanshu shares practical frameworks that empower readers to make smarter decisions, build resilient businesses, and thrive in uncertainty.
