Smita Roy Trivedi

Dr. Smita Roy Trivedi is Assistant Professor at National Institute of Bank management (NIBM), Pune. Her first book, Financial Economy: Evolutions at the Edge of Crises, was published in 2018 and second book, Effective Trading in Financial Markets using Technical Analysis, in 2020. Her research has been published in journals like Empirical Economics (Springer), Economic papers (Wiley), International Journal of Finance and Economics

Chapter 1: Introduction to Technical Analysis 1.1 Technical Analysis and Trading in the Financial Markets 1.2 Evidence on Use of Technical Analysis 1.3 Technical Analysis Profitability and the Efficient Market Paradigm 1.4 What Explains the Profitability of Technical Analysis? 1.5 Financial Markets: The Trader’s Playground 1.6 Key Takeaways Chapter 2: Basic Principles of Technical Analysis 2.1 Introduction 2.2 Timeframe of the Chart 2.3 Types of Charts 2.4 Dow Theory 2.5 Trend Analysis 2.6 Use of Trend Analysis in Trading 2.7 Key Takeaways Chapter 3: Classical Reversal and Continuation Patterns 3.1 Introduction 3.2 Reversal Patterns 3.3 Continuation Patterns 3.4 Gaps 3.5 Key Takeaways Chapter 4: Candlesticks Patterns and Its Use in Trading Strategies 4.1 Introduction 4.2 Concept of Candlesticks 4.3 Reversal Patterns 4.4 Continuation Patterns 4.5 Key Takeaways Chapter 5: Moving Averages and Its Use for Trading Strategies 5.1 Introduction 5.2 Concept of Moving Averages 5.3 Crossover Technique 5.4 Case Studies: Using Moving Averages for Trading 5.5 Key Takeaways Chapter 6: Momentum Indicators and Stochastics 6.1 Introduction 6.2 Momentum and Rate of Change 6.3 Relative Strength Index 6.4 Moving Average Convergence Divergence 6.5 Stochastics 6.6 Heiken Ashi Stochastic 6.7 Case Studies: Framing Trading Strategies with Momentum Indicators 6.8 Key Takeaways Chapter 7: Volatility and Volume Indicators 7.1 Introduction 7.2 Volatility Indicators 7.3 Volume Indicators 7.4 Case Studies: Using Volatility Indicators for Trading Decisions 7.5 Key Takeaways Chapter 8: Elliott Wave Principles 8.1 Introduction 8.2   The Fibonacci Sequence 8.3 Understanding Impulse Pattern 8.4 Corrective Waves 8.5 Channelling 8.6 Key Takeaways  Chapter 9: Time Cycles 9.1 Introduction 9.2 Characteristic of Cycles 9.3 Left and Right Translation 9.4 Principles of Cycle 9.5 Detecting the Cycle 9.6 Combining Time Cycles with Elliott Wave 9.7 Key Takeaways Chapter 10: Introduction to Backtesting and Algorithmic Trading 10.1 Introduction 10.2 Concept of Algorithmic Trading 10.3 Using Microsoft Excel for Algorithmic trading 10.4 Introduction to Python 10.5 Key Takeaways Chapter 11: Conclusion Chapter 1: Introduction to Technical Analysis 1.1 Technical Analysis and Trading in the Financial Markets 1.2 Evidence on Use of Technical Analysis 1.3 Technical Analysis Profitability and the Efficient Market Paradigm 1.4 What Explains the Profitability of Technical Analysis? 1.5 Financial Markets: The Trader’s Playground 1.6 Key Takeaways Chapter 2: Basic Principles of Technical Analysis 2.1 Introduction 2.2 Timeframe of the Chart 2.3 Types of Charts 2.4 Dow Theory 2.5 Trend Analysis 2.6 Use of Trend Analysis in Trading 2.7 Key Takeaways Chapter 3: Classical Reversal and Continuation Patterns 3.1 Introduction 3.2 Reversal Patterns 3.3 Continuation Patterns 3.4 Gaps 3.5 Key Takeaways  Chapter 4: Candlesticks Patterns and Its Use in Trading Strategies 4.1 Introduction 4.2 Concept of Candlesticks 4.3 Reversal Patterns 4.4 Continuation Patterns 4.5 Key Takeaways Chapter 5: Moving Averages and Its Use for Trading Strategies 5.1 Introduction 5.2 Concept of Moving Averages 5.3 Crossover Technique 5.4 Case Studies: Using Moving Averages for Trading 5.5 Key Takeaways  Chapter 6: Momentum Indicators and Stochastics 6.1 Introduction 6.2 Momentum and Rate of Change 6.3 Relative Strength Index 6.4 Moving Average Convergence Divergence 6.5 Stochastics 6.6 Heiken Ashi Stochastic 6.7 Case Studies: Framing Trading Strategies with Momentum Indicators 6.8 Key Takeaways Chapter 7: Volatility and Volume Indicators 7.1 Introduction 7.2 Volatility Indicators 7.3 Volume Indicators 7.4 Case Studies: Using Volatility Indicators for Trading Decisions 7.5 Key Takeaways Chapter 8: Elliott Wave Principles 8.1 Introduction 8.2   The Fibonacci Sequence 8.3 Understanding Impulse Pattern 8.4 Corrective Waves 8.5 Channelling 8.6 Key Takeaways Chapter 9: Time Cycles 9.1 Introduction 9.2 Characteristic of Cycles 9.3 Left and Right Translation 9.4 Principles of Cycle 9.5 Detecting the Cycle 9.6 Combining Time Cycles with Elliott Wave 9.7 Key Takeaways Chapter 10: Introduction to Backtesting and Algorithmic Trading 10.1 Introduction 10.2 Concept of Algorithmic Trading 10.3 Using Microsoft Excel for Algorithmic trading 10.4 Introduction to Python 10.5 Key Takeaways Chapter 11: Conclusion