Routledge

EFFECTIVE TRADING IN FINANCIAL MARKET USING TECHNICAL ANALYSIS
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By Ashish H.Kyal and Smita Roy Trivedi
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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
AuthorAshish H.Kyal and Smita Roy Trivedi BindingPaperback
9780415375320
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David Hulme is Professor of Development Studies at the Institute for Development Policy and Management, Associate Director of the Brooks World Poverty Institute and Director of the Chronic Poverty Research Centre at the University of Manchester. Thankom Arun is Professor of Development Finance and Public Policy at Lancashire Business School, University of Central Lancashire and Honorary Senior Fellow at the School of Environment and Development at the University of Manchester..
AuthorDavid Hulme Author 2Thankom Arun
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By Ralf Boscheck
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Corporate moves towards focused production and outsourcing, governmental reforms involving privatization and deregulation and the globalization of trade and investments promise large efficiency gains. However, the necessary coordination mechanisms call for regulatory approval and policy guidelines to safeguard these undertakings against abuse, whic
AuthorRalf Boscheck BindingHARDCOVER
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physical characteristics, production and consumption patterns, trade flows and pricing mechanisms. It also explains the main tools used to hedge price risk, such as futures, options and swaps. This second edition has been fully revised and restructured, and contains four new chapters, including oil refining, electricity and price risk management for energy, metals and agricultural commodities This book is an indispensable reference text for students, academics and those working in the commodity business.
AuthorMichael Tamvakis Condition TypeNEW
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