machine learning trading

Learning Quantitative Finance with R Implement machine learning, time-series analysis, algorithmic trading and more【電子書籍】 Dr. Param JeetA Machine Learning based Pairs Trading Investment Strategy【電子書籍】 Sim o Moraes SarmentoDetecting Regime Change in Computational Finance Data Science, Machine Learning and Algorithmic Trading【電子書籍】 Jun ChenQuantitative Trading Strategies Using Python Technical Analysis, Statistical Testing, and Machine Learning【電子書籍】 Peng Liu洋書 Paperback, Betfair Trading Techniques: Trading Models, Machine Learning, Money Management, Monte Carlo Methods Algorithmic TradingAlgorithmic Trading Methods Applications Using Advanced Statistics, Optimization, and Machine Learning Techniques【電子書籍】 Robert Kissell洋書 Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market洋書 Paperback, Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock MarketMachine Learning for Algorithmic Trading Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition【電子書籍】 Stefan Jansen洋書 Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSBHands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】 Stefan JansenFinancial Data Resampling for Machine Learning Based Trading Application to Cryptocurrency Markets【電子書籍】 Tom Almeida Borges洋書 Paperback, Algorithmic Trading Methods: Applications Using Advanced Statistics, Optimization, and Machine Learning TechniquesElementi Essenziali Del Machine Learning Per Bot Di Trading Algoritmico Con Python I Principali Scenari Di Progetti Di Vita Reale E Suggerimenti Estratti Dagli Ultimi Progetti【電子書籍】 Charles Gilbert
 

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  • <p><strong>Implement machine learning, time-series analysis, algorithmic trading and more</strong></p> <h2>About This Book</h2> <ul> <li>Understand the basics of R and how they can be applied in various Quantitative Finance scenarios</li> <li>Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.</li> <li>Contain different methods to manage risk and explore trading using Machine Learning.</li> </ul> <h2>Who This Book Is For</h2> <p>If you want to learn how to use R to build quantitative finance models with ease, this book is for you. Analysts who want to learn R to solve their quantitative finance problems will also find this book useful. Some understanding of the basic financial concepts will be useful, though prior knowledge of R is not required.</p> <h2>What You Will Learn</h2> <ul> <li>Get to know the basics of R and how to use it in the field of Quantitative Finance</li> <li>Understa...
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  • <p>This book investigates the application of promising machine learning techniques to address two problems: (i) how to find profitable pairs while constraining the search space and (ii) how to avoid long decline periods due to prolonged divergent pairs. It also proposes the integration of an unsupervised learning algorithm, OPTICS, to handle problem (i), and demonstrates that the suggested technique can outperform the common pairs search methods, achieving an average portfolio Sharpe ratio of 3.79, in comparison to 3.58 and 2.59 obtained using standard approaches. For problem (ii), the authors introduce a forecasting-based trading model capable of reducing the periods of portfolio decline by 75%. However, this comes at the expense of decreasing overall profitability. The authors also test the proposed strategy using an ARMA model, an LSTM and an LSTM encoder-decoder.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらな...
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  • <p>Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, <em><strong>Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading</strong></em> applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics:</p> <ul> <li></li> <li>Data science: as an alternative to time series, price movements in a market can be summarised as directional changes</li> <li></li> <li></li...
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  • <p>Build and implement trading strategies using Python. This book will introduce you to the fundamental concepts of quantitative trading and shows how to use Python and popular libraries to build trading models and strategies from scratch. It covers practical trading strategies coupled with step-by-step implementations that touch upon a wide range of topics, including data analysis and visualization, algorithmic trading, backtesting, risk management, optimization, and machine learning, all coupled with practical examples in Python.</p> <p>Part one of <em>Quantitative Trading Strategies with Python</em> covers the fundamentals of trading strategies, including an introduction to quantitative trading, the electronic market, risk and return, and forward and futures contracts. Part two introduces common trading strategies, including trend-following, momentum trading, and evaluation process via backtesting. Part three covers more advanced topics, including statistical arbitrage ...
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><em>Algorithmic Trading Methods: Applications using Advanced Statistics, Optimization, and Machine Learning Techniques, Second Edition</em>, is a sequel to <em>The Science of Algorithmic Trading and Portfolio Management</em>. This edition includes new chapters on algorithmic trading, advanced trading analytics, regression analysis, optimization, and advanced statistical methods. Increasing its focus on trading strategies and models, this edition includes new insights into the ever-changing financial environment, pre-trade and post-trade analysis, liquidation cost & risk analysis, and compliance and regulatory reporting requirements. Highlighting new investment techniques, this book includes material to assist in the best execution process, model validation, quality and assurance testing, limit order modeling, and smart order routing analysis. Includes advanced modeling techniques using machine learning, predictive analytics, and neural networks. The text provides reader...
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>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.</strong></p> <p><strong>Purchase of the print or Kindle book includes a free eBook in the PDF format.</strong></p> <h4>Key Features</h4> <ul> <li>Design, train, and evaluate machine learning algorithms that underpin automated trading strategies</li> <li>Create a research and strategy development process to apply predictive modeling to trading decisions</li> <li>Leverage NLP and deep learning to extract tradeable signals from market and alternative data</li> </ul> <h4>Book Description</h4> <p>The 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 supervis...
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p><strong>Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras</strong></p> <h4>Key Features</h4> <ul> <li>Implement machine learning algorithms to build, train, and validate algorithmic models</li> <li>Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions</li> <li>Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics</li> </ul> <h4>Book Description</h4> <p>The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.</p> <p>This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a fra...
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  • <p>This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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    商品の説明

  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • <p>Caro studente,<br /> C'? un grande cambiamento nella domanda da parte delle aziende e anche nell'aspettativa da parte delle aziende sulle competenze necessarie in questo settore della tecnologia dell'informazione. Ma sfortunatamente ci sono molte meno persone che stanno dimostrando che i libri soddisfano esattamente le esigenze in questo settore. Considerando ci? nel requisito della prossima generazione, abbiamo progettato questo libro e realizzato questo libro per te al meglio delle nostre conoscenze dai nostri team di esperti tecnici.<br /> Spero che tu possa trarre il meglio dai benefici della tua carriera leggendo i nostri libri e ti auguro tutto il meglio.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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