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Paperback. Zustand: Good. 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.

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Paperback or Softback. Zustand: New. Mastering Financial Markets with Python: New Horizons in Technical Analysis. Book.

Paperback. Zustand: New. Master Technical Analysis in the Age of Python and InnovationFinancial markets are evolving, and so should your strategies. Mastering Financial Markets with Python: New Horizons in Technical Analysis bridges the gap between traditional methods and the new era of data-driven analysis. This book equips you with the skills to design, implement, and evaluate advanced technical analysis techniques all through a practical, code-first approach.Inside, you will learn how to:Rethink and modernize classic indicators with Python.Build advanced volatility and moving average indicators.Detect and analyze harmonic and reversal patterns automatically.Detect and analyze timing patterns automatically.Apply enhanced Fibonacci techniques and alternative charting systems.Develop a new generation of technical indicators tailored to modern markets.This book provides hands-on tools to master today's fast-moving financial landscape. By combining innovation with Python, you'll gain a deeper understanding of markets and build smarter, more adaptive strategies.Why buy it now? Because trading edges are fleeting, and those who master Python-driven technical analysis will be the ones shaping the markets of tomorrow.…

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Paperback. Zustand: New. Master Technical Analysis in the Age of Python and InnovationFinancial markets are evolving, and so should your strategies. Mastering Financial Markets with Python: New Horizons in Technical Analysis bridges the gap between traditional methods and the new era of data-driven analysis. This book equips you with the skills to design, implement, and evaluate advanced technical analysis techniques all through a practical, code-first approach.Inside, you will learn how to:Rethink and modernize classic indicators with Python.Build advanced volatility and moving average indicators.Detect and analyze harmonic and reversal patterns automatically.Detect and analyze timing patterns automatically.Apply enhanced Fibonacci techniques and alternative charting systems.Develop a new generation of technical indicators tailored to modern markets.This book provides hands-on tools to master today's fast-moving financial landscape. By combining innovation with Python, you'll gain a deeper understanding of markets and build smarter, more adaptive strategies.Why buy it now? Because trading edges are fleeting, and those who master Python-driven technical analysis will be the ones shaping the markets of tomorrow.…

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: Brand New. 202 pages. 6.00x0.46x9.00 inches. In Stock.

Paperback or Softback. Zustand: New. Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python. Book.

Zustand: As New. Unread book in perfect condition.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback or Softback. Zustand: New. Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python. Book.

Paperback. Zustand: 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.…

Paperback. Zustand: 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.…

Paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Zustand: 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.…

Zustand: As New. Unread book in perfect condition.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.