Overview

The Bollinger Bands Trading Strategies by Lalit Mohanty is a comprehensive guide designed for traders who want to master one of the most powerful and versatile indicators in technical analysis. This book takes you deep into the world of Bollinger Bands - from their mathematical foundation to advanced algorithmic trading applications. Whether you are a beginner learning the basics or an experienced trader seeking to refine your strategies, this book offers clear explanations, practical trading systems, and real Python code examples. You'll discover how to trade squeezes, reversals, and trends, optimize your strategies through backtesting and walk-forward testing, and even automate trades using API-based execution. With a perfect blend of theory, psychology, and practical implementation, The Bollinger Bands Trading Strategies equips you to make data-driven decisions, manage risk effectively, and trade with confidence in all market conditions. Perfect for stock, forex, and crypto traders who want to transform Bollinger Bands into a professional-grade trading system. Table of Contents Part I: Foundations of Bollinger Bands Chapter 1: Introduction to Bollinger Bands 1.1 What Are Bollinger Bands 1.2 History and Concept Developed by John Bollinger 1.3 How Bollinger Bands Work in the Market 1.4 Key Components of Bollinger Bands 1.5 Market Psychology Behind the Indicator Chapter 2: Mathematical Foundation of Bollinger Bands 2.1 Understanding Standard Deviation 2.2 Calculating the Moving Average 2.3 The Upper and Lower Bands Formula 2.4 Volatility and its Impact on Bands 2.5 How to Interpret Band Width Chapter 3: Setting Up Bollinger Bands for Real Trading 3.1 Choosing the Right Periods and Standard Deviations 3.2 Common Mistakes in Band Configuration 3.3 Bollinger Bands on Different Time Frames 3.4 Combining Bollinger Bands with Volume Analysis 3.5 Selecting Instruments that Work Best with Bollinger Bands Part II: Core Bollinger Band Trading Strategies Chapter 4: Bollinger Band Squeeze Strategy 4.1 Identifying the Squeeze 4.2 Entry and Exit Rules 4.3 Trading the Breakout Effectively 4.4 Risk Management in Squeeze Trades 4.5 Practical Algorithm Code for Squeeze Strategy Chapter 5: Bollinger Band Reversal Strategy 5.1 Understanding Mean Reversion 5.2 Identifying Overbought and Oversold Zones 5.3 Entry and Exit Rules for Reversals 5.4 Avoiding False Signals 5.5 Practical Algorithm Code for Reversal Strategy Chapter 6: Bollinger Band Trend Following Strategy 6.1 Identifying Trending Markets 6.2 Using Bands as Dynamic Support and Resistance 6.3 Entry and Exit Rules for Trend Following 6.4 Advanced Trend Confirmation Filters 6.5 Practical Algorithm Code for Trend Following Strategy Chapter 7: Double Bollinger Band Strategy Part III: Advanced Applications and Strategy Enhancements Chapter 8: Combining Bollinger Bands with Other Indicators Chapter 9: Bollinger Bands on Multiple Time Frames Chapter 10: Volatility Breakout Strategy with Bollinger Bands Part IV: Algorithmic Implementation and Automation Chapter 11: Introduction to Algorithmic Trading Chapter 12: Python Implementation of Bollinger Band Strategies Chapter 13: Advanced Automation and Live Trading Part V: Professional Risk Management and Optimization Chapter 14: Risk and Money Management Chapter 15: Strategy Optimization and Walk-Forward Testing

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