{"product_id":"advanced-positioning-flow-and-sentiment-analysis-in-commodity-markets-isbn-9781119603825","title":"Advanced Positioning, Flow, and Sentiment Analysis in Commodity Markets","description":"\u003cp\u003e\u003cb\u003eThe definitive book\u003c\/b\u003e\u003cb\u003e on Positioning Analysis — a powerful and sophisticated framework to help traders, investors and risk managers better understand commodity markets\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePositioning Analysis is a powerful framework to better understand commodity price dynamics, risk, and sentiment. It indicates what each category of trader is doing—what they are trading, how much they are trading and how they might behave under a variety of different circumstances. It is essential in isolating specific types of flow patterns, defining behavioral responses, measuring shifts in sentiment, and developing tools for better risk management. \u003ci\u003eAdvanced Positioning, Flow and Sentiment Analysis in Commodity Markets \u003c\/i\u003eexplains the fundamentals of Positioning Analysis and presents new concepts in Commodity Positioning Analytics. This invaluable guide helps readers recognize how certain types of positioning patterns can be used to develop models, indicators, and analyses that can be used to enhance performance.\u003c\/p\u003e \u003cp\u003eThis updated second edition contains substantial new material, including analytics based on the analysis of flow, the decomposition of trading flows, trading activity in the Chinese commodity markets, and the inclusion of Newsflow into Positioning Analysis. Author: Mark J S Keenan, also covers the structure of positioning data, performance attribution of speculators, sentiment analysis and the identification of price risks and behavioral patterns that can be used to generate trading signals.. This must-have resource:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOffers intuitive and accessible guidance to commodity market participants and risk managers at various levels and diverse areas of the market\u003c\/li\u003e \u003cli\u003eProvides a wide range of analytics that can be used directly or integrated into a variety of different commodity-related trading, investment, and risk management programs\u003c\/li\u003e \u003cli\u003eFeatures an online platform comprising a wide range of customizable, regularly-updated analytical tools\u003c\/li\u003e \u003cli\u003eContains an abundance of exceptional graphics, charts, and illustrations\u003c\/li\u003e \u003cli\u003eIncludes easy-to-follow instructions for building analytics.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eAdvanced Positioning, Flow and Sentiment Analysis in Commodity Markets: Bridging Fundamental and Technical Analysis, 2\u003csup\u003end\u003c\/sup\u003e Edition \u003c\/i\u003eis an indispensable source of information for all types of commodity traders, investors, and speculators, as well as investors in other asset classes who look to the commodity markets for price information.\u003c\/p\u003e \u003cp\u003eAbout the Author xi\u003c\/p\u003e \u003cp\u003eAcknowledgements xiii\u003c\/p\u003e \u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xvii\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Advanced Positioning, Flow, and Sentiment Analysis in Commodity Markets 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Positioning Analysis – What is It? 8\u003c\/p\u003e \u003cp\u003e1.2 The History of Positioning Data, the COT Report, and the Agencies that Provide the Data 10\u003c\/p\u003e \u003cp\u003e1.3 Misunderstandings and Issues in Positioning Analysis 10\u003c\/p\u003e \u003cp\u003e1.4 Futures and Options Data 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 The Structure of the Positioning Data 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 The Structure of Positioning Data 20\u003c\/p\u003e \u003cp\u003e2.2 Positioning Data for the London Metal Exchange (LME) – The MiFID Classifications 28\u003c\/p\u003e \u003cp\u003e2.3 Other Types of Positioning and Flow Data 33\u003c\/p\u003e \u003cp\u003e2.4 The Structure of Commodity Markets 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Performance Attribution – An Insight into Sentiment and Behavioural Analysis? 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 The Proliferation of Speculative Positioning Data 46\u003c\/p\u003e \u003cp\u003e3.2 Why is Positioning Data Interesting 47\u003c\/p\u003e \u003cp\u003e3.3 Measuring the Skill or Performance of MMs 48\u003c\/p\u003e \u003cp\u003e3.4 Net Futures Positioning vs Net Trader Number Positioning or Alignment 55\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Concentration, Clustering, and Position Size – Price Risks and Behavioural Patterns 59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Concentration, Clustering, and Position Size 60\u003c\/p\u003e \u003cp\u003e4.2 Concentration, Clustering, Position Size, and Their Relationship to Price Over Time 62\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 ‘Dry Powder (DP)’ Analysis – An Alternative Way to Visualise Positioning 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Dry Powder (DP) Analysis 72\u003c\/p\u003e \u003cp\u003e5.2 DP Indicator Variations 75\u003c\/p\u003e \u003cp\u003e5.3 DP Indicators and Trading Signals 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Advanced DP Analysis – Deeper Insights and More Variables 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Advanced DP Indicator Charts 88\u003c\/p\u003e \u003cp\u003e6.2 DP Indicators, Price, and Curve Structure 96\u003c\/p\u003e \u003cp\u003e6.3 DP Hedging Indicators 99\u003c\/p\u003e \u003cp\u003e6.4 DP Factor, Fundamental, and Currency Indicators 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Decomposing Trading Flow and Quantifying Position Dynamics 111\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Decomposing Net Positioning – The Methodology 112\u003c\/p\u003e \u003cp\u003e7.2 Decomposing Long and Short Positioning – The Methodology 115\u003c\/p\u003e \u003cp\u003e7.3 Who Has Been Driving Prices? 116\u003c\/p\u003e \u003cp\u003e7.4 Who is Trading with Whom? 118\u003c\/p\u003e \u003cp\u003e7.5 The Impact on Prices 122\u003c\/p\u003e \u003cp\u003e7.6 Speed of Positioning Changes 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Overbought\/Oversold (OBOS) Analysis – The Intersection of Extremes 127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 The Overbought\/Oversold (OBOS) Philosophy 128\u003c\/p\u003e \u003cp\u003e8.2 Constructing the Framework 128\u003c\/p\u003e \u003cp\u003e8.3 The OBOS Concentration Indicator 132\u003c\/p\u003e \u003cp\u003e8.4 Key Attributes of the OBOS Approach 133\u003c\/p\u003e \u003cp\u003e8.5 Behavioural Patterns within the Boxes 134\u003c\/p\u003e \u003cp\u003e8.6 OBOS Variations 138\u003c\/p\u003e \u003cp\u003e8.7 The DP\/OBOS Hybrid Indicator 141\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Advanced OBOS Analysis – Extremes in Sentiment and Risk 147\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 The OBOS Framework – Clustering and Position Sizes 147\u003c\/p\u003e \u003cp\u003e9.2 OBOS Factor Indicators 155\u003c\/p\u003e \u003cp\u003e9.3 Commodity Risk Premia – Positioning Analysis and Risk Management 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Sentiment Analysis – Sentiment Indices and Positioning Mismatches 163\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 The Difference between Trader Numbers and Open Interest 164\u003c\/p\u003e \u003cp\u003e10.2 Trader Sentiment (TS) Indices 166\u003c\/p\u003e \u003cp\u003e10.3 Mismatches in Positioning and Price Inflexion Points 172\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 11 Newsflow in Positioning Analysis 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Newsflow Data in Commodity Markets 178\u003c\/p\u003e \u003cp\u003e11.2 Building Basic Newsflow Indices 181\u003c\/p\u003e \u003cp\u003e11.3 Combining Newsflow with Positioning 186\u003c\/p\u003e \u003cp\u003e11.4 Economic Policy Uncertainty 190\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 12 Flow Analysis – The ‘Flow Cube’ and the ‘Build Ratio’ in Commodity Markets 191\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 The Flow Cube 192\u003c\/p\u003e \u003cp\u003e12.2 The Flow Cube down the Forward Curve 198\u003c\/p\u003e \u003cp\u003e12.3 The LBMA-i Trade Data 202\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 13 Chinese Commodity Markets – Analysing Flow 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e13.1 The Chinese Commodity Exchanges 203\u003c\/p\u003e \u003cp\u003e13.2 The Size of the Chinese Commodity Exchanges 205\u003c\/p\u003e \u003cp\u003e13.3 Speculative vs Hedging Activity in Chinese Commodities 208\u003c\/p\u003e \u003cp\u003e13.4 The Flow Cube and Build Ratio in Chinese Commodities 210\u003c\/p\u003e \u003cp\u003e13.5 The OBOS Framework and the Speculation Ratio 212\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 14 Machine Learning – A Machine’s Perspective on Positioning 215\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction to Machine Learning (ML) 216\u003c\/p\u003e \u003cp\u003e14.2 Decision Trees 217\u003c\/p\u003e \u003cp\u003e14.3 Feature Importance 227\u003c\/p\u003e \u003cp\u003e14.4 Random Forests 229\u003c\/p\u003e \u003cp\u003e14.5 Using ML to Trade 232\u003c\/p\u003e \u003cp\u003eAppendix 1 History of the COT Report 235\u003c\/p\u003e \u003cp\u003eAppendix 2 The COT Reports 237\u003c\/p\u003e \u003cp\u003eIndex 249\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eMARK J S KEENAN\u003c\/b\u003e is Managing Director, Global Commodities Strategist, and Head of Research for Asia-Pacific at Société Générale Corporate \u0026amp; Investment Bank (SG CIB) based in Singapore. He has over 20 years of research, trading and investment experience across all major commodity markets. Mark has worked in asset management, risk management and investment banking in both London and Singapore and developed a number of innovative trading, investment and risk management solutions for corporates, trade houses, investment institutions and hedge funds. He appears regularly on CNBC and Bloomberg television and is quoted widely in global press and media channels. He has a master’s degree in Molecular and Cellular Biochemistry from Oxford University.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMANAGE RISK MORE EFFECTIVELY AND DEVELOP A BETTER UNDERSTANDING OF COMMODITY PRICE DYNAMICS, RISK AND SENTIMENT WITH POSITIONING ANALYSIS\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eAt its core, positioning refers to the breakdown of the positions held by specific categories of trader. Positioning Analysis uses such data both in isolation and in combination with other variables to provide a powerful framework for understanding price dynamics, risk, sentiment, and behaviour. The approach in \u003ci\u003eAdvanced Positioning, Flow, and Sentiment Analysis in Commodity Markets\u003c\/i\u003e – the only book of its kind on the market – bridges fundamental and technical analysis to reveal how to build robust, effective models based on positioning, flow and sentiment patterns. Readers will learn to generate trading signals from detailed datasets with variables like price changes, seasonal factors, exchange rates and market-wide risk and uncertainty metrics. A continuously updated companion website allows readers to immediately employ this unique framework and to customise the models for direct use.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988669350117,"sku":"NP9781119603825","price":115.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119603825.jpg?v=1761781195","url":"https:\/\/k12savings.com\/es\/products\/advanced-positioning-flow-and-sentiment-analysis-in-commodity-markets-isbn-9781119603825","provider":"K12savings","version":"1.0","type":"link"}