Download or read book Mastering Financial Pattern Recognition written by Sofien Kaabar and published by "O'Reilly Media, Inc.". This book was released on 2022-10-18 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 back-test 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 book, 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 back-testing 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

Download or read book Mastering Financial Pattern Recognition written by Sofien Kaabar and published by O'Reilly Media. This book was released on 2023-01-31 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Candlesticks have become a key component of trading platforms and charting programs for financial trading. A candlestick is a financial chart that helps reveal underlying patterns for traders when interpreting price action history and forecasts. We are often taught how specific patterns behave in a certain way, but we have never really been taught how to trade or back-test them. This hands-on guide will teach you how to recognize, scan, trade, and back-test the profitability of candlestick patterns with Python. Furthermore, this book will introduce new patterns that have never been presented before, revealing the fruits of my research.Other topics discussed in the book include creating a candlestick scanner and indicator, as well as comparing the profitability of the patterns. We will also see a new type of charting system which is similar to candlesticks. This proposed book aims to be the A-Z guide to all candlestick patterns!

Download or read book Python for Finance written by Dmytro Zherlitsyn and published by BPB Publications. This book was released on 2024-07-30 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Python's intuitive syntax and beginner-friendly nature makes it an ideal programming language for financial professionals. It acts as a bridge between the world of finance and data analysis. This book will introduce essential concepts in financial analysis methods and models, covering time-series analysis, graphical analysis, technical and fundamental analysis, asset pricing and portfolio theory, investment and trade strategies, risk assessment and prediction, and financial ML practices. The Python programming language and its ecosystem libraries, such as Pandas, NumPy, SciPy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, and other data science tools will demonstrate these rooted financial concepts in practice examples. This book will help you understand the concepts of financial market dynamics, estimate the metrics of financial asset profitability, predict trends, evaluate strategies, optimize portfolios, and manage financial risks. You will also learn data analysis techniques using Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data. KEY FEATURES ● Comprehensive guide to Python for financial data analysis and modeling. ● Practical examples and real-world applications for immediate implementation. ● Covers advanced topics like regression, Machine Learning and time series forecasting. WHAT YOU WILL LEARN ● Learn financial data analysis using Python data science libraries and techniques. ● Learn Python visualization tools to justify investment and trading strategies. ● Learn asset pricing and portfolio management methods with Python. ● Learn advanced regression and time series models for financial forecasting. ● Learn risk assessment and volatility modeling methods with Python. WHO THIS BOOK IS FOR This book is designed for financial analysts and other professionals interested in the financial industry with a basic understanding of Python programming and statistical analysis. It is also suitable for students in finance and data science who wish to apply Python tools to financial data analysis and decision-making. TABLE OF CONTENTS 1. Getting Started with Python for Finance 2. Python Tools for Data Analysis: Primer to Pandas and NumPy 3. Financial Data Manipulation with Python 4. Exploratory Data Analysis for Finance 5. Investment and Trading Strategies 6. Asset Pricing and Portfolio Management 7. Time Series Analysis and Financial Data Forecasting 8. Risk Assessment and Volatility Modelling 9. Machine Learning and Deep Learning in Finance 10. Time Series Analysis and Forecasting with FB Prophet Library Appendix A: Python Code Examples for Finance Appendix B: Glossary Appendix C: Valuable Resources

Download or read book Deep Learning for Finance written by Sofien Kaabar and published by "O'Reilly Media, Inc.". This book was released on 2024-01-08 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Download or read book Trade What You See written by Larry Pesavento and published by John Wiley & Sons. This book was released on 2010-12-29 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trading the financial markets is extremely difficult, but with the right approach, traders can achieve success. Nobody knows this better than authors Larry Pesavento and Leslie Jouflas, both traders and educators of traders, who have consistently used pattern recognition to capture profits from the markets. In Trade What You See, Pesavento and Jouflas show traders how to identify patterns as they are developing and exactly where to place entry and exit orders. While some patterns derive from the techniques of Wall Street’s earliest traders and other patterns reflect Pesavento’s emphasis on the geometry of market movements and Fibonacci numbers.. Filled with hard-won knowledge gained through years of market experience, Trade What You Seeoutlines both a practical and sophisticated approach to trading that will be of interest to both novice and seasoned traders alike. Larry Pesavento is a forty-year veteran trader. He operates a Web site,

Download or read book Guide to Precision Harmonic Pattern Trading written by Young Ho Seo and published by www.algotrading-investment.com. This book was released on with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harmonic Pattern trading uses the direct pattern recognition from the price chart to predict the potential turning point of the financial market. Although the history of the harmonic pattern goes back to the Gartley’s book “Profits in the Stock Market” in 1935, Harmonic Pattern trading became popular in last few decades. In comparison to many contemporary predictive techniques, there are far less literature available to study this technique in several different scientific angles. Most of harmonic pattern trader focuses on the visual aspect of the pattern keeping very small attention on the precision aspect. In this book, we want to introduce the brand new precision concept, Pattern Completion Interval and Potential Continuation Zone, for harmonic pattern trading. In the first few chapters of this book, we will illustrate the concept and the operating mechanism behind these new techniques. After that, we will focus on how to manage your order and risk with Harmonic pattern. We will illustrate how to apply this precision concept for both market order and pending order setup for your practical trading. At the end of the book, we describe the rolling ball effect and we show how it can affect your turning point strategy. In the final chapter, we introduce Mutual Pattern Turning Point Strategy for your practical trading. Then we show you three essential but powerful steps to trade with turning point strategy. Please note that we use our own custom ratio sets for harmonic patterns presented in this book because our backtesting and forward testing results indicates that they perform better than the original patterns. The studies presented in this book are the results after the intensive computerized research using Harmonic Patterns. If you want to dig deeper on the rolling ball effect and the mutual pattern strategy for turning point prediction, you can also read our book: Scientific Guide to Price Action and Pattern Trading.

Download or read book Mastering Technical Analysis Chapter 3 Pattern Recognition written by John C. Brooks and published by McGraw Hill Professional. This book was released on 2005-09-09 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Mastering Technical Analysis, a practical examination of the key tools of technical analysis--how they work, why they work, and which work best in specific situations. Written by one of the founding members of the Market Technicians Association, it will provide you with the guidance and insights you need to improve your trading performance, by removing the guesswork from every move you make.

Download or read book Application of Pattern Recognition to Financial Data written by D. J. Swart and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Final year report -- Elektriese, Elektroniese & Rekenaaringenieurswese.

Download or read book Financial Pattern Recognition Using Support Vector Machines written by A. Fan and published by . This book was released on 2001 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Book of Trading Strategies written by Sofien Kaabar and published by . This book was released on 2021-07-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trading strategies come in different shapes and colors, and having a detailed view on their structure and functioning is very useful towards the path of creating a robust and profitable trading system. The book presents various technical strategies and the way to back-test them in Python. You can think of the book as a mix between introductory Python and an Encyclopedia of trading strategies with a touch of reality.

Download or read book Identifying Patterns in Financial Markets written by João Leitão and published by Springer. This book was released on 2017-12-26 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a new pattern discovery approach based on the combination among rules between Perceptually Important Points (PIPs) and the Symbolic Aggregate approximation (SAX) representation optimized by Genetic Algorithm (GA). The proposed approach was tested with real data from S&P500 index and all the results obtained outperform the Buy&Hold strategy. Three different case studies are presented by the authors.

Download or read book Pattern Recognition and Trading Decisions written by Chris Satchwell and published by McGraw Hill Professional. This book was released on 2004-10-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Success in technical analysis is all about recognizing, and quickly acting on, patterns of market behavior. Pattern Recognition and Trading Decisions shows active traders how to realize when a pattern is developing, distinguish between a genuine pattern and a misleading series of events, and apply this recognition for success in specific trading situations. A how-to guide that steers clear of difficult calculations and formulas, this dynamic book--from an author tabbed "far ahead of anyone else" by technical analysis guru Martin Pring--is destined to be on the desktop of every serious technical trader.

Download or read book Mastering Financial Calculations written by Bob Steiner and published by Pearson UK. This book was released on 2012-05-14 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Financial Space written by and published by . This book was released on 2013 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mastering Technical Analysis written by John C. Brooks and published by McGraw Hill Professional. This book was released on 2010-04-21 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Technical Analysis explores a wide range of technical analysis tools, detailing how to use each to improve trading performance. Topics explored include moving averages and the importance of crossovers; popular indicators from the VIX index and 10-30 DMA to stochastics; trends and pattern recognition; and more. In addition, this book examines how exchange-traded funds and other new securities as well as the emergence of China, India, and other international markets will impact present and future technical analysis applications.

Download or read book The Man Who Solved the Market written by Gregory Zuckerman and published by Penguin. This book was released on 2019-11-05 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER Shortlisted for the Financial Times/McKinsey Business Book of the Year Award The unbelievable story of a secretive mathematician who pioneered the era of the algorithm--and made $23 billion doing it. Jim Simons is the greatest money maker in modern financial history. No other investor--Warren Buffett, Peter Lynch, Ray Dalio, Steve Cohen, or George Soros--can touch his record. Since 1988, Renaissance's signature Medallion fund has generated average annual returns of 66 percent. The firm has earned profits of more than $100 billion; Simons is worth twenty-three billion dollars. Drawing on unprecedented access to Simons and dozens of current and former employees, Zuckerman, a veteran Wall Street Journal investigative reporter, tells the gripping story of how a world-class mathematician and former code breaker mastered the market. Simons pioneered a data-driven, algorithmic approach that's sweeping the world. As Renaissance became a market force, its executives began influencing the world beyond finance. Simons became a major figure in scientific research, education, and liberal politics. Senior executive Robert Mercer is more responsible than anyone else for the Trump presidency, placing Steve Bannon in the campaign and funding Trump's victorious 2016 effort. Mercer also impacted the campaign behind Brexit. The Man Who Solved the Market is a portrait of a modern-day Midas who remade markets in his own image, but failed to anticipate how his success would impact his firm and his country. It's also a story of what Simons's revolution means for the rest of us.