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Mastering Financial Pattern Recognition : Finding and Back-testing Candlestick Patterns With Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Trend Following Strategies In Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Trend Following Strategies In Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Trend Following Strategies in Python
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 32,93
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Trend Following Strategies in Python: How to Use Indicators to Follow the Trend.
Da: Chiron Media, Wallingford, Regno Unito
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EUR 22,31
EUR 17,76 shipping
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
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Trend Following Strategies in Python: How to Use Indicators to Follow the Trend.
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 25,74
EUR 13,73 shipping
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
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Trend Following Strategies In Python
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 25,23
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Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python (Paperback or Softback)
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback or Softback. Condizione: New. Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python. Book.
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Trend Following Strategies In Python
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 28,47
EUR 17,20 shipping
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Deep Learning for Finance
Da: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Deep Learning for Finance
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 44,46
EUR 5,76 shipping
Spedito da Regno Unito a U.S.A.Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Da: California Books, Miami, FL, U.S.A.
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EUR 50,86
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Spedito in U.S.A.Quantità: Più di 20 disponibili
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Lingua: Inglese
Editore: O'Reilly Media (edition 1), 2024
ISBN 10: 1098148398 ISBN 13: 9781098148393
Da: BooksRun, Philadelphia, PA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Mastering Financial Pattern Recognition Finding and Back-Testing Candlestick Patterns with Python
Da: Lakeside Books, Benton Harbor, MI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Deep Learning for Finance (Paperback)
Lingua: Inglese
Editore: O'Reilly Media, Sebastopol, 2024
ISBN 10: 1098148398 ISBN 13: 9781098148393
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New.
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Mastering Financial Pattern Recognition : Finding and Back-testing Candlestick Patterns With Python
Da: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Mastering Financial Pattern Recognition
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 50,34
EUR 5,76 shipping
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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EUR 57,03
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability.
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Da: Brook Bookstore On Demand, Napoli, NA, Italia
Valutazione del venditore 5 su 5 stelle
EUR 49,09
EUR 6,80 shipping
Spedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new.
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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
EUR 57,87
Spedizione gratuita
Spedito in U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Mastering Financial Pattern Recognition (Paperback)
Lingua: Inglese
Editore: O'Reilly Media, Sebastopol, 2022
ISBN 10: 1098120477 ISBN 13: 9781098120474
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning for Finance
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 66,28
Spedizione gratuita
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.Sofien Kaabar-financial author, trading consultant, and institutional market strategist-introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.Understand and create machine learning and deep learning modelsExplore the details behind reinforcement learning and see how it's used in time seriesUnderstand how to interpret performance evaluation metricsExamine technical analysis and learn how it works in financial marketsCreate technical indicators in Python and combine them with ML models for optimizationEvaluate the models' profitability and predictability to understand their limitations and potential.
-
Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 48,63
EUR 17,20 shipping
Spedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
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Mastering Financial Pattern Recognition : Finding and Back-testing Candlestick Patterns With Python
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 50,33
EUR 17,20 shipping
Spedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New.
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Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python
Da: Ria Christie Collections, Uxbridge, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 57,03
EUR 13,73 shipping
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
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Mastering Financial Pattern Recognition
Da: Rarewaves.com USA, London, LONDO, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 71,60
Spedizione gratuita
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability.
