Chan jared (16 Ergebnisse)
- Hardcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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EUR 15,75
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Hands-on Ai Trading With Python, Quantconnect and Aws
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 32,00
EUR 2,27 VersandVersand innerhalb von USAAnzahl: Mehr als 20 verfügbar
Zustand: New.
Hands-On AI Trading with Python, QuantConnect and Format: Cloth
Jiri Pik, Ernest P. Chan, Vivek Singh, Jared Broad, Philip Sun
- Hardcover
Anbieter: INDOO, Avenel, NJ, USAINDOO
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EUR 34,35
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Zustand: New.
Hands-on Ai Trading With Python, Quantconnect and Aws
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: GreatBookPrices, Columbia, MD, USAGreatBookPrices
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EUR 35,84
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Zustand: As New. Unread book in perfect condition.
Hands-On AI Trading with Python, QuantConnect, and AWS
Jiri Pik, Ernest P. Chan, Vivek Singh, Jared Broad, Philip Sun
- Hardcover
Anbieter: Rarewaves USA, HEBRON, KY, USARarewaves USA
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EUR 46,67
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Hardback. Zustand: New. Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete… code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used: Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.Predict market volatility regimes and allocate funds accordingly.Predict daily returns of tech stocks using classifiers.Forecast Forex pairs' future prices using Support Vector Machines and wavelets.Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation. Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
Hands-On AI Trading with Python, QuantConnect, and AWS
Jiri Pik, Ernest P. Chan, Vivek Singh, Jared Broad, Philip Sun
- Hardcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 47,28
Versand gratisVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New. Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete… code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used: Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.Predict market volatility regimes and allocate funds accordingly.Predict daily returns of tech stocks using classifiers.Forecast Forex pairs' future prices using Support Vector Machines and wavelets.Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation. Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
Hands-on Ai Trading With Python, Quantconnect and Aws
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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EUR 36,47
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Zustand: New.
Hands-On AI Trading with Python, QuantConnect, and AWS
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 41,53
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Zustand: New. In English.
Hands-On AI Trading with Python, QuantConnect and AWS
Pik, Jiri Jiri Pik, Ernest P. Chan, Jared Broad, Philip Sun, Vivek Singh,
- Hardcover
Anbieter: Chiron Media, Wallingford, Vereinigtes KönigreichChiron Media
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EUR 37,97
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hardcover. Zustand: New.
Hands-on Ai Trading With Python, Quantconnect and Aws
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Wie neu
EUR 41,79
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Zustand: As New. Unread book in perfect condition.
Hands-on Ai Trading With Python, Quantconnect and Aws
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 60,87
EUR 3,43 VersandVersand innerhalb von USAAnzahl: 1 verfügbar
Zustand: New. 1st edition NO-PA16APR2015-KAP.
Hands-On AI Trading with Python, QuantConnect, and AWS
Pik, Jiri; Chan, Ernest P.; Broad, Jared; Sun, Philip; Singh, Vivek
- Hardcover
Anbieter: Ubiquity Trade, Miami, FL, USAUbiquity Trade
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EUR 77,60
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Zustand: New. Brand new! Please provide a physical shipping address.
- Softcover
- Print-on-Demand
Anbieter: California Books, Miami, FL, USACalifornia Books
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EUR 20,37
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Zustand: New. Print on Demand.
Hands-On AI Trading with Python, QuantConnect, and AWS
Jiri Pik, Ernest P. Chan, Vivek Singh, Jared Broad, Philip Sun
- Hardcover
Anbieter: Rarewaves USA United, HEBRON, KY, USARarewaves USA United
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 48,50
EUR 43,00 VersandVersand innerhalb von USAAnzahl: 8 verfügbar
Hardback. Zustand: New. Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete… code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used: Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.Predict market volatility regimes and allocate funds accordingly.Predict daily returns of tech stocks using classifiers.Forecast Forex pairs' future prices using Support Vector Machines and wavelets.Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation. Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
Hands-On AI Trading with Python, QuantConnect, and AWS
Jiri Pik, Ernest P. Chan, Vivek Singh, Jared Broad, Philip Sun
- Hardcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 45,11
EUR 75,62 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Hardback. Zustand: New. Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance Hands-On AI Trading with Python, QuantConnect, and AWS explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete… code, allowing readers to understand and expand their AI toolbelt. Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks. The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used: Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.Predict market volatility regimes and allocate funds accordingly.Predict daily returns of tech stocks using classifiers.Forecast Forex pairs' future prices using Support Vector Machines and wavelets.Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation. Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with Hands-On AI Trading with Python, QuantConnect, and AWS.
Sprache: Englisch
Verlag: CreateSpace Independent Publishing Platform, 2016
- Softcover
- Print-on-Demand
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 20,09
EUR 14,54 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. Zustand: Brand New. 60 pages. 11.00x8.50x0.15 inches. This item is printed on demand.
