This book provides a comprehensive guide to effective trading in the financial markets through the application of technical analysis through the following:
- Presenting in-depth coverage of technical analysis tools (including trade set-ups) as well as backtesting and algorithmic trading
- Discussing advanced concepts such as Elliott Waves, time cycles and momentum, volume, and volatility indicators from the perspective of the global markets and especially India
- Blending practical insights and research updates for professional trading, investments, and financial market analyses
- Including detailed examples, case studies, comparisons, figures, and illustrations from different asset classes and markets in simple language
The book will be essential for scholars and researchers of finance, economics and management studies, as well as professional traders and dealers in financial institutions (including banks) and corporates, fund managers, investors, and anyone interested in financial markets.
Autorentext
Smita Roy Trivedi is Assistant Professor, International Banking and Finance Group at the National Institute of Bank Management, Pune, India. She has been engaged in teaching, training, and research in international banking, technical analysis, and algorithmic trading. Her publications include the book Financial Economy: Evolutions at the Edge of Crises (co-authored with Sutanu Bhattacharya, 2018). Her research has been published in Empirical Economics, Economic Papers, and Asia-Pacific Financial Markets.
Ashish H. Kyal is Founder of Waves Strategy Advisors, based in Mumbai, India, a Chartered Market Technician (CMT) and member of CMT-USA. He has worked with leading investment banks such as Lehman Brothers and Nomura Holdings. His articles have appeared in newsletters of CMT-USA, International Federation of Technical Analysts (IFTA-London) Reuters, and Bloomberg and a research paper in Journal of the Society of Technical Analysts. He is a frequent speaker on CNBC TV18, ET NOW, Bloomberg Quint, Rajya Sabha TV, and National Institute of Bank Management.
Inhalt
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
References
Index