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(as of Apr 05, 2026 22:57:42 UTC – Details)

Master Quantitative & Algorithmic Trading with Python, AI, and Automation

What 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.

Publisher ‏ : ‎ Deepanshu Suman
Publication date ‏ : ‎ October 28, 2025
Language ‏ : ‎ English
Print length ‏ : ‎ 460 pages
ISBN-10 ‏ : ‎ 9334453508
ISBN-13 ‏ : ‎ 978-9334453508
Item Weight ‏ : ‎ 1.35 pounds
Dimensions ‏ : ‎ 6 x 1.04 x 9 inches
Best Sellers Rank: #3,412,260 in Books (See Top 100 in Books) #624 in Financial Engineering (Books) #2,648 in Python Programming #3,216 in Investment Analysis & Strategy