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Full Description
A beginner-friendly guide to algorithmic trading covering market basics, strategy design and backtesting, risk management, and how to build simple Python trading bots, with no prior trading or coding experience required
Key Features
Learn through a step-by-step, beginner-safe path from market fundamentals to a working automated trading bot
Gain hands-on Python experience focused on realistic strategies, robustness, and risk management
Learn backtesting, deployment, and how to avoid common trading pitfalls
Book DescriptionAlgorithmic trading no longer belongs only to hedge funds and professionals. With the right approach, anyone can learn to trade systematically using data, logic, and automation. Algorithmic Trading for Beginners provides a clear, practical introduction to building automated trading strategies from the ground up. Designed for readers with little or no background in finance or programming, the book focuses on understanding core principles rather than memorizing code or formulas. You'll learn how financial markets work, how to work with market data, and how to turn ideas into strategies.
The book walks you step by step through strategy design, indicator construction, and proper backtesting - highlighting common mistakes like overfitting. Unlike many books that stop at theory, this guide shows you how to think about execution, transaction costs, and risk management, and how to safely transition from backtests to live trading.You'll also gain a grounded introduction to machine learning in trading, with an emphasis on realistic expectations, robustness, and building systems you can understand and trust.
By the end of the book, you'll have the knowledge and confidence to design, test, and automate your own trading strategies, laying the foundation for disciplined, systematic trading in real markets.What you will learn
Understand how financial markets work at a practical level
Learn basic Python for trading
Understand major categories of trading strategies
Build indicators and turn them into actionable trade signals
Avoid common backtesting traps like lookahead bias, survivorship bias, and overfitting
Analyze performance using metrics like maximum drawdown and Sharpe ratio
Develop and test your first complete trading strategy from start to finish
Deploy a live trading bot safely
Who this book is forThis book is for beginners who want to understand and apply algorithmic trading without an advanced background in finance or mathematics. It is ideal for self-directed investors, traders, and technically curious readers who want to automate trading decisions using clear rules and data-driven logic. Readers with basic computer skills and an interest in markets will benefit most, especially those looking to move from manual or emotional trading toward systematic, automated strategies.
Contents
Table of Contents
What Is Algorithmic Trading?
Market Data Essentials
Programming Basics for Trading
Categories of Trading Strategies
Building Indicators and Signals
Backtesting Essentials
Execution Mechanics
Portfolio Management Basics
Deploying a Live Trading Bot
Machine Learning Basics for Trading
Improving Strategy Robustness
