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• Table of Contents Machine Learning for Trading - From Idea to Execution Market and Fundamental Data - Sources and Techniques Alternative Data for Finance - Categories and Use Cases Financial Feature Engineering - How to Research Alpha Factors Portfolio Optimization and Performance Evaluation The Machine Learning Process Linear Models - From Risk Factors to Return Forecasts The ML4T Workflow - From Model to Strategy Backtesting (N.B. Please use the Look Inside option to see further chapters).
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Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a research and strategy development process to apply predictive modeling to trading decisions Leverage NLP and deep learning to extract tradeable signals from market and alternative data Book DescriptionThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learn Leverage market, fundamental, and alternative text and image data Research and evaluate alpha factors using statistics, Alphalens, and SHAP values Implement machine learning techniques to solve investment and trading problems Backtest and evaluate trading strategies based on machine learning using Zipline and Backtrader Optimize portfolio risk and performance analysis using pandas, NumPy, and pyfolio Create a pairs trading strategy based on cointegration for US equities and ETFs Train a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes data Who this book is forIf you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.
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• Introduction Example: Bidding on eBay Auction Fundamentals Continuous Double Auctions Interdependent Markets Conclusion.
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Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications. The lecture assumes no prior background in game theory or auction theory, or artificial intelligence.
(source: Nielsen Book Data)

"Academic, industry, and government experts provide a global survey of the financial services sector's transformation by AI, data science, and blockchain"-- Provided by publisher.

• Design and Usability.- Biomedical and Health Informatics.- Activity and Recognition.- Independent Living Technology.- Smart Home Technology.
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This book constitutes the proceedings of the 15th International Conference on Smart Homes and Health Telematics, ICOST 2017, held in Paris, France, in August 2017. The 18 regular papers, 5 short papers together with 2 invited talks included in this volume were carefully reviewed and selected from numerous submissions. The conference features a dynamic program incorporating a range of design, development, deployment and evaluation of Smart Urban Environments, Assistive Technologies, Chronic Disease Management, Coaching and Health Telematics systems.
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• Production and Economic Relations on the Internet: Another Level of Development of Economic Science.- Internet Economy: Existence from the Point of View of Micro-Economic Aspect.- Perspectives of Internet Economy Creation.- Modern Foundations of Internet Economy.
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This unique book adopts a problem approach to study the Internet economy, which consists in assessing its contradiction to classic economy, analyzing it, and describing how the Internet economy is developing in modern Russia. The authors study its sense and basic principles, identify the factors that influence its functioning and development, analyze the crisis of the Internet economy, and conduct a comparative analysis of the Internet economy and classic economy. The book is primarily intended for postgraduates, educators and researchers who study the foundations of the modern macro-economy. Based on the conclusions and results presented here, they will be able to create their own scientific studies. Further, problem analysis of the Internet economy and classic economy makes it possible to identify the peculiarities and prospects of development, and to form recommendations for the highly effective management of modern economic systems.
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• Part I, From Business Problems to Data Science.- Data Science Based on Artificial Intelligence.- Business Problems Dependent on Data.- Artificial Intelligence-Based Data Science Solutions.- Integrate and Conquer.- The Lost-in-Translation Trap.- Part II, The AI-Based Data Science Toolbox.- The AI-Based Data Science Workflow.- Problem Knowledge Acquisition.- Data Preparation.- Data Analysis.- Model Development.- The Model Deployment Life Cycle.- Part III, AI-Based Data Science in Action.- Infrastructure.- People.- Applications of AI-Based Data Science in Manufacturing.- Applications of AI-Based Data Science in Business.- How to Operate AI-Based Data Science in a Business.- How to Become an Effective Data Scientist.- Glossary.
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This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.
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• 1. Introduction to Emergency Management.-
• 2. Big Data.-
• 3. Learning Algorithms for Emergency Management.-
• 4. Knowledge Graphs and Natural-Language Processing.-
• 5. Social Media Mining for Disaster Management and Community Resilience.-
• 6. Big Data-Driven Citywide Human Mobility Modeling for Emergency Management.-
• 7. Smartphone based Emergency Communication.-
• 8. Emergency Information Visualisation. .
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This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community's vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.
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• Blockchain Forum.- Silver Bullet for all Trust Issues? Blockchain-based Trust Patterns for Collaborative Business Processes.- Blockchain Oracles: A Framework for Blockchain-Based Applications.- Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World.- The Role of Modeling in Blockchain Process Design.- External Data Monitoring Using Oracles in Blockchain-Based Process Execution.- Robotic Process Automation Forum.- A Conversational Digital Assistant for Intelligent Process Automation.- Is Robotic Process Automation Becoming Intelligent? Early Evidence of Influences of Artificial Intelligence on Robotic Process Automation.- Automated Generation of Executable RPA Scripts from User Interface Logs.- Integrating Robotic Process Automation into Business Process Management.- How to Trust a Bot: An RPA User Perspective.- Towards a Taxonomy of Cognitive RPA Components.- Towards an OpenSource Logger for the Analysis of RPA Projects.- Beyond the Hype: RPA Horizon for Robot-Human interaction.- A Framework for Evaluating the Suitability of Process Activities for Robotic Process Automation.- From Robotic Process Automation to Intelligent Process Automation.
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This book constitutes the proceedings of the Blockchain and Robotic Process Automation (RPA) Forum which was held as part of the 18th International Conference on Business Process Management, BPM 2020. The conference was planned to take place in Seville, Spain, in September 2020. Due to the COVID-19 pandemic the conference took place virtually. The Blockchain Forum and the RPA Forum have in common that they are centered around an emerging and exciting technology. The blockchain is a sophisticated distributed ledger technology, while RPA software allows for mimicking human, repetitive actions. Each of these have the potential to fundamentally change how business processes are being orchestrated and executed in practice. The BPM community has embraced these technologies as objects of analysis, design, development, and evaluation. The 14 full plus one short paper presented in this volume were carefully reviewed and selected from a total of 28 submissions. .
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• Accessibility of Non-Verbal Communication: Making Spatial Information Accessible to People with Disabilities.- Accessibility of Non-Verbal Communication: Making Spatial Information Accessible to People with Disabilities: Introduction to the Special Thematic Session.- Accessible Multimodal Tool Support for Brainstorming Meetings.- Pointing Gesture Based User Interaction of Tool Supported Brainstorming Meetings.- Communication Device for People with Cerebral Palsy Assisted with Head Movements.- Enabling Real-time 3D Display of Lifelike Fingerspelling in a Web App.- Cognitive Disabilities and Accessibility - Pushing the Boundaries of Inclusion Using Digital Technologies and Accessible eLearning Environments.- Cognitive Disabilities and Accessibility - Pushing the Boundaries of Inclusion Using Digital Technologies and Accessible eLearning Environments: Introduction to the Special Thematic Session.- Adaptive User Interfaces for People with Cognitive Disabilities within the Easy Reading Framework.- Automatic Assistance to Cognitive Disabled Web Users via Reinforcement Learning on the Browser.- Developing of Kid Can Write as Assistive Technology for Students with Learning Disabilities.- Improving Fitness Levels of Individuals with Autism Spectrum Disorder: A Preliminary Evaluation of Real-Time Interactive Heart Rate Visualization to Motivate Engagement in Physical Activity.- Introduction of Compensatory Technology in Vocational Rehabilitation: A Practice Study about the Value of Technology and the Values that Shape these Practices.- Investigating Usability and Engagement in a Money Management Application for Users with Intellectual Disability.- Towards Modeling of Interpersonal Proximity Using Head-Mounted Camera for Children with ASD.- \ADAPEI-TRANSPORT": A GPS Based Mobile App for Learning Paths and Improving Autonomy for Young Adults Having Intellectual Disabilities to Take Public Transport.- ICT To Support Inclusive Education - Universal Learning Design (ULD).- ICT to Support Inclusive Education: Introduction to the Special Thematic Session.- Information Technology in the Musical and Speech Development of Mentally Retarded Children in an Orphanage.- Promoting Creative Computer-Based Music Education and Composition for Individuals with Autism Spectrum Disorders: The Terpsichore Software Music Interface.- WebMoti.- Development of a Learning-Support System for Science Using Collaboration and Body Movement for Hearing-Impaired Children: Learning Support for Plant Germination and Growth Conditions.- Promoting Inclusive Open Education: A Holistic Approach Towards a Novel Accessible OER Recommender System.- Hearing Systems and Accessories for People with Hearing Loss.- Hearing Systems and Accessories for People with Hearing Loss: Introduction to the Special Thematic Session.- A Study Examining a Real-Time Sign Language-to-Text Interpretation System Using Crowdsourcing.- Readability of Punctuation in Automatic Subtitles.- Analysis of the Gaze Behavior of Deaf and Hard-of-Hearing Students During a Captioned Lecture.- Survey for People with Visual Impairment or Hearing Loss on Using Museums in Japan.- Mobile Health and Mobile Rehabilitation for People with Disabilities: Current State, Challenges and Opportunities.- Mobile Health and Mobile Rehabilitation for People with Disabilities: Current State, Challenges and Opportunities. Introduction to the Special Thematic Session.- A Mobile Diary App to Support Rehabilitation at Home for Elderly with COPD: A Preliminary Feasibility Study.- A User Study About Designing a Mobile App for Motivating Multiple Sclerosis Patients for Self-Rehabilitation.- Accelerometer-Based Machine Learning Categorization of Body Position in Adult Populations.- Survey of Rehabilitation Clinicians in the United States: Barriers and Critical Use-Cases for mRehab Adoption.- SwapMyMood: User-Centered Design and Development of a Mobile App to Support Executive Function.- Survey of User Needs: Mobile Apps for mHealth and People with Disabilities.- Innovation and Implementation in the Area of Independent Mobility through Digital Technologies.- Implementation and Innovation in the Area of Independent Mobility through Digital Technologies: Introduction to the Special Thematic Session.- AccessibleMaps: Addressing Gaps in Maps for People with Visual and Mobility Impairments.- AccessKB: Linked Open Data for Accessible Travel.- Analysis of Indoor Maps Accounting the Needs of People with Impairments.- Considering Time-Critical Barriers in Indoor Routing for People with Disabilities.- 3D Audio Navigation - Feasibility and Requirements for Older Adults.- How to Improve Interaction with a Text Input System.- Text Input with Foot Gestures Using the Myo Armband.- Application of Gesture Interface to Transcription for People with Motor Dysfunction.- Tecla Sound: Combining Single Switch and Speech Access.- Increasing the Efficiency of Text Input in the 8pen Method.- SlideKey: Impact of In-depth Previews for a Predictive Text Entry Method.- Literacy Toy for Enhancement Phonological Awareness: A Longitudinal Study.- Human Movement Analysis for the Design and Evaluation of Interactive Systems and Assistive Devices.- Human Movement Analysis for the Design and Evaluation of Interactive systems and Assistive Devices: Introduction to the Special Thematic Session.- Alzheimer's Garden: Understanding Social Behaviors of Patients with Dementia to Improve Their Quality of Life.- Predicting Wheelchair Stability while Crossing a Curb Using RGB-Depth Vision.- Gait Patterns Monitoring Using Instrumented Forearm Crutches.- Personalized Arm Gesture Recognition Using the HMM-Based Signature Verification Engine.- Digital Design of Aids for Activities of Daily Living.- A Multimodal Communication Aid for Persons with Cerebral Palsy Using Head Movement and Speech Recognition.- Experimental Evaluation of Three Interaction Channels for Accessible Digital Musical Instruments.- iFeedingBot: A Vision-Based Feeding Robotic Arm Prototype Based on Open Source Solution.- Development of Smart-Phone Interfaces for Tongue Controlled Assistive Devices.- Application of Multi Materials Additive Manufacturing Technique In The Design And Manufacturing of Hand Orthoses.- Service and Care Provision in Assistive Environments.- Designing Nostalgic Tangible User Interface Application for Elderly People.- Assessment of Economic Value of Assistive Technologies through Quality-Adjusted Work-Life Years (QAWLY).
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The two-volume set LNCS 12376 and 12377 constitutes the refereed proceedings of the 17th International Conference on Computers Helping People with Special Needs, ICCHP 2020, held in Lecco, Italy, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 104 papers presented were carefully reviewed and selected from 206 submissions. Included also are 13 introductions. The papers are organized in the following topical sections: Part I: user centred design and user participation in inclusive R&D; artificial intelligence, accessible and assistive technologies; XR accessibility - learning from the past, addressing real user needs and the technical architecture for inclusive immersive environments; serious and fun games; large-scale web accessibility observatories; accessible and inclusive digital publishing; AT and accessibility for blind and low vision users; Art Karshmer lectures in access to mathematics, science and engineering; tactile graphics and models for blind people and recognition of shapes by touch; and environmental sensing technologies for visual impairment Part II: accessibility of non-verbal communication: making spatial information accessible to people with disabilities; cognitive disabilities and accessibility - pushing the boundaries of inclusion using digital technologies and accessible eLearning environments; ICT to support inclusive education - universal learning design (ULD); hearing systems and accessories for people with hearing loss; mobile health and mobile rehabilitation for people with disabilities: current state, challenges and opportunities; innovation and implementation in the area of independent mobility through digital technologies; how to improve interaction with a text input system; human movement analysis for the design and evaluation of interactive systems and assistive devices; and service and care provision in assistive environments 12 chapters are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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• Issues in the Use of the Recovery Watcher for Situation Awareness in Disaster and Inclusive Communications.- Information Technology Reengineering of the Electricity Generation System in Post-Disaster Recovery.- Information Technologies for Assessing the Impact of Climate Change and Natural Disasters in Socio-Economic Systems.- Problems of Cultural Heritage Preservation in the Context of the Armed Conflict Growth.- Proposal of Evacuation Support System and Evaluation by Multi-agent Simulation in a Regional Disaster.- Environmental Monitoring and Population Protection from Environmental Factors.- Ecological Internet Resource as a tool for Information Control of the Harmful Effects of Environmental Pollution.- Building Resilient Community by Public Private Partnership - From Science to Action in Developing Countries.- Building Resilient Community Through Plant Back Better Initiative - Guiding Principles and Best Practices.- An Earth Coordinate System for Earthquake Forecasting using SLHGN.- ImpactMap: A Collaborative Environment to Support Impact Projection of Complex Decision.- Ad-Hoc Architecture of Systems for Disaster Risk Management.- Conceptual Model of Debris Flow Information System.- Towards an Indoor Navigation Application for Emergency Evacuations and Persons with Visual Impairments - Experiences from First Responders and End Users.- Cyber Crisis Management Roles - a Municipality Responsibility Case Study.- Mathematical Model of Management of the Integral Risk of Emergency Situation on the Example of Fires.- 3D Simulation to Validate Autonomous Intervention Systems Architecture for Disaster Management.- Classification of Social Media Messages Posted at the Time of Disaster.- Workshop Program on Disaster Prevention and Mitigation for Young Generation Utilizing Disaster Information Tweeting and Mapping System.
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This volume constitutes the refereed and revised post-conference proceedings of the 4th IFIP TC 5 DCITDRR International Conference on Information Technology in Disaster Risk Reduction, ITDRR 2019, in Kyiv, Ukraine, in October 2019. The 17 full papers and 2 short papers presented were carefully reviewed and selected from 53 submissions. The papers focus on various aspects and challenges of coping with disaster risk reduction. The main topics include areas such as natural disasters, big data, cloud computing, Internet of Things, mobile computing, emergency management, disaster information processing, and disaster risk assessment and management.
(source: Nielsen Book Data)