An Introduction to Algorithmic Finance, Algorithmic Trading and Blockchain, Palash Sarkar, Satya Chakravarty
Автор: Chan Ernie Название: Algorithmic Trading ISBN: 1118460146 ISBN-13(EAN): 9781118460146 Издательство: Wiley Рейтинг: Цена: 9504.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on quantitative trading. This book offers readers an insight into how and why each trading strategy was developed, how it was implemented, and even how it was coded. It is suitable for anyone looking to create their own systematic trading strategies.
Автор: Davey Kevin Название: Building Algorithmic Trading Systems ISBN: 1118778987 ISBN-13(EAN): 9781118778982 Издательство: Wiley Рейтинг: Цена: 10771.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Develop your own trading system with practical guidance and expert advice In Building Algorithmic Trading Systems: A Trader`s Journey From Data Mining to Monte Carlo Simulation to Live Training, award-winning trader Kevin Davey shares his secrets for developing trading systems that generate triple-digit returns.
Автор: Velu Название: Algorithmic Trading & Quantitative ISBN: 1498737161 ISBN-13(EAN): 9781498737166 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Brings together the literature in main stream finance and the tools presented in quantitative finance with a focus on what is being practiced in industry. The author begins with the economic theory behind price formation and tests the model that results from the theory and suggests algorithms to detect and exploit the anomalies.
Автор: Pruitt George Название: Ultimate Algorithmic Trading System Toolbox ISBN: 111909657X ISBN-13(EAN): 9781119096573 Издательство: Wiley Рейтинг: Цена: 11563.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accessible, beneficial guide to developing algorithmic trading solutions The Ultimate Algorithmic Trading System Toolbox is the complete package savvy investors have been looking for.
Автор: Katsov, Ilya Название: Introduction to algorithmic marketing ISBN: 0692989048 ISBN-13(EAN): 9780692989043 Издательство: Неизвестно Рейтинг: Цена: 9196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
"A comprehensive and indispensable reference for anyone undertaking the transformational journey towards algorithmic marketing."
―Ali Bouhouch, CTO, Sephora Americas
"It is a must-read for both data scientists and marketing officers―even better if they read it together."
―Andrey Sebrant, Director of Strategic Marketing, Yandex
"The book gives the executives, middle managers, and data scientists in your organization a set of concrete, actionable, and incremental recommendations on how to build better insights and decisions, starting today, one step at a time."
―Victoria Livschitz, founder and CTO, Grid Dynamics
Table of Contents
Chapter 1 - Introduction
The Subject of Algorithmic Marketing
The Definition of Algorithmic Marketing
Historical Backgrounds and Context
Programmatic Services
Who Should Read This Book?
Summary
Chapter 2 - Review of Predictive Modeling
Descriptive, Predictive, and Prescriptive Analytics
Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers. It summarizes various techniques tested by major technology, advertising, and retail companies, and it glues these methods together with economic theory and machine learning. The book covers the main areas of marketing that require programmatic micro-decisioning - targeted promotions and advertisements, eCommerce search, recommendations, pricing, and assortment optimization.
"A comprehensive and indispensable reference for anyone undertaking the transformational journey towards algorithmic marketing."
―Ali Bouhouch, CTO, Sephora Americas
"It is a must-read for both data scientists and marketing officers―even better if they read it together."
―Andrey Sebrant, Director of Strategic Marketing, Yandex
"The book gives the executives, middle managers, and data scientists in your organization a set of concrete, actionable, and incremental recommendations on how to build better insights and decisions, starting today, one step at a time."
―Victoria Livschitz, founder and CTO, Grid Dynamics
Table of Contents
Chapter 1 - Introduction
The Subject of Algorithmic Marketing
The Definition of Algorithmic Marketing
Historical Backgrounds and Context
Programmatic Services
Who Should Read This Book?
Summary
Chapter 2 - Review of Predictive Modeling
Descriptive, Predictive, and Prescriptive Analytics
Economic Optimization
Machine Learning
Supervised Learning
Representation Learning
More Specialized Models
Summary
Chapter 3 - Promotions and Advertisements
Environment
Business Objectives
Targeting Pipeline
Response Modeling and Measurement
Building Blocks: Targeting and LTV Models
Designing and Running Campaigns
Resource Allocation
Online Advertisements
Measuring the Effectiveness
Architecture of Targeting Systems
Summary
Chapter 4 - Search
Environment
Business Objectives
Building Blocks: Matching and Ranking
Mixing Relevance Signals
Semantic Analysis
Search Methods for Merchandising
Relevance Tuning
Architecture of Merchandising Search Services
Summary
Chapter 5 - Recommendations
Environment
Business Objectives
Quality Evaluation
Overview of Recommendation Methods
Content-based Filtering
Introduction to Collaborative Filtering
Neighborhood-based Collaborative Filtering
Model-based Collaborative Filtering
Hybrid Methods
Contextual Recommendations
Non-Personalized Recommendations
Multiple Objective Optimization
Architecture of Recommender Systems
Summary
Chapter 6 - Pricing and Assortment
Environment
The Impact of Pricing
Price and Value
Price and Demand
Basic Price Structures
Demand Prediction
Price Optimization
Resource Allocation
Assortment Optimization
Architecture of Price Management Systems
Summary
Автор: Gupta Rajan, Pal Saibal Kumar Название: Introduction to Algorithmic Government ISBN: 9811602816 ISBN-13(EAN): 9789811602818 Издательство: Springer Цена: 11086.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The world is changing at a fast pace, so is the Government and Governance style. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies.
Описание: This book deals with the topic of dark trading, or non-displayed, off-exchange trading execution. It discusses the development, importance and practice of dark equity trading in an environment dominated by high frequency, program, block and algorithmic trading, and considers its future prospects in a world of mobile capital and changing regulation.
Do you want to be a swing trader and start making money riding the markets waves? If so then keep reading...
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Understanding why some people will fail to learn and apply swing trading
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Автор: Edited by Noam Nisan Название: Algorithmic Game Theory ISBN: 0521872820 ISBN-13(EAN): 9780521872829 Издательство: Cambridge Academ Рейтинг: Цена: 9821.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: More than 40 of the top researchers in this field have written chapters that go from the foundations to the state of the art. Basic chapters on algorithmic methods for equilibria, mechanism design and combinatorial auctions are followed by chapters on incentives and pricing, cost sharing, information markets and cryptography and security.
Автор: Robert Kissell Название: The Science of Algorithmic Trading and Portfolio Management, ISBN: 0124016898 ISBN-13(EAN): 9780124016897 Издательство: Elsevier Science Рейтинг: Цена: 8588.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discusses algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. This title helps readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems.
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