{"title":"Books by Sofien Kaabar","description":null,"products":[{"product_id":"9781098148393","title":"Deep Learning for Finance","description":"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","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56312123326837,"sku":"9781098148393","price":55.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781098148393_94516c0a-28ad-4b08-ba68-94ace639f7fb.jpg?v=1786017350"},{"product_id":"9781637429266","title":"Mastering Financial Markets with Python","description":"\u003cp\u003e\u003cb\u003eMaster Technical Analysis in the Age of Python and Innovation\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eFinancial markets are evolving, and so should your strategies. \u003ci\u003eMastering Financial Markets with Python: New Horizons in Technical Analysis\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003eInside, you will learn how to:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eRethink and modernize classic indicators with Python.\u003c\/li\u003e\n\u003cli\u003eBuild advanced volatility and moving average indicators.\u003c\/li\u003e\n\u003cli\u003eDetect and analyze harmonic and reversal patterns automatically.\u003c\/li\u003e\n\u003cli\u003eDetect and analyze timing patterns automatically.\u003c\/li\u003e\n\u003cli\u003eApply enhanced Fibonacci techniques and alternative charting systems.\u003c\/li\u003e\n\u003cli\u003eDevelop a new generation of technical indicators tailored to modern markets.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhy buy it now?\u003c\/b\u003e Because trading edges are fleeting, and those who master Python-driven technical analysis will be the ones shaping the markets of tomorrow.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56369064771957,"sku":"9781637429266","price":24.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0612\/7193\/3106\/files\/9781637429266_a1aad6cf-13fd-4bbf-b9ea-adbcb009dfa2.jpg?v=1786023538"},{"product_id":"elliott-wave-theory-in-finance","title":"Elliott Wave Theory in Finance","description":"Elliott Wave Theory in Finance: From Subjective Interpretation to Testable Models with Python examines how far a traditionally discretionary approach can be expressed as explicit, testable rules. Sofien Kaabar, CFA, develops a Python framework for identifying swings, evaluating impulse and corrective counts, preserving alternate interpretations, and recording when each decision became possible. Worked market charts connect theory to prospective forecasts, while empirical tests across stocks and foreign exchange compare wave-based strategies with matched random entries and account for trading costs. The book offers readers a way to investigate Elliott Wave claims rigorously; it does not present a ready-made profitable trading system.   Features Explains Elliott Wave structure, Fibonacci projections, confirmation delays and invalidation in accessible language.   Provides Python examples and charting tools for readers who want to implement and test the rules themselves.   Includes a companion GitHub repository and reports backtests with trading costs and random-entry controls.","brand":"Gardners","offers":[{"title":"Paperback","offer_id":57695249236341,"sku":"9781041103356","price":67.99,"currency_code":"GBP","in_stock":true},{"title":"Hardback","offer_id":57697038074229,"sku":"9781041105497","price":200.0,"currency_code":"GBP","in_stock":true}]}],"url":"https:\/\/backstory.london\/collections\/author-sofien-kaabar.oembed","provider":"Backstory","version":"1.0","type":"link"}