Mastering Financial Pattern Recognition
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Mastering Financial Pattern Recognition
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Author : Sofien Kaabar
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-10-18
Mastering Financial Pattern Recognition written by Sofien Kaabar and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-18 with Business & Economics categories.
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
Mastering Financial Pattern Recognition
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Author : Sofien Kaabar
language : en
Publisher: O'Reilly Media
Release Date : 2023-01-31
Mastering Financial Pattern Recognition written by Sofien Kaabar and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-31 with categories.
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!
Python For Finance
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Author : Dmytro Zherlitsyn
language : en
Publisher: BPB Publications
Release Date : 2024-07-30
Python For Finance written by Dmytro Zherlitsyn and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.
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
Financial Data Analysis Using Python
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Author : Dmytro Zherlitsyn
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-12-26
Financial Data Analysis Using Python written by Dmytro Zherlitsyn and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book will introduce essential concepts in financial analysis methods & 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 also 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 the Python programming language to understand the basics of data preparation, visualization, and manipulation in the world of financial data. FEATURES • Illustrates financial data analysis using Python data science libraries & techniques • Uses Python visualization tools to justify investment and trading strategies • Covers asset pricing & portfolio management methods with Python
Deep Learning For Finance
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Author : Sofien Kaabar
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-01-08
Deep Learning For Finance written by Sofien Kaabar and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-08 with Business & Economics categories.
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
Guide To Precision Harmonic Pattern Trading
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Author : Young Ho Seo
language : en
Publisher: www.algotrading-investment.com
Release Date :
Guide To Precision Harmonic Pattern Trading written by Young Ho Seo and has been published by www.algotrading-investment.com this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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.
Mastering Technical Analysis Chapter 3 Pattern Recognition
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Author : John C. Brooks
language : en
Publisher: McGraw Hill Professional
Release Date : 2005-09-09
Mastering Technical Analysis Chapter 3 Pattern Recognition written by John C. Brooks and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-09 with Business & Economics categories.
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.
Breakthrough Strategies For Predicting Any Market
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Author : Jeff Greenblatt
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-30
Breakthrough Strategies For Predicting Any Market written by Jeff Greenblatt and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with Business & Economics categories.
The revised and updated edition of the book that changed the way you think about trading In the Second Edition of this groundbreaking book by star trader Jeff Greenblatt, he continues to shares his hard-won lessons on what it takes to be a professional trader, while detailing his proven techniques for mastering market timing. With the help of numerous case studies and charts, Greenblatt develops his original high-probability pattern recognition system which, once mastered, endows its user with a deeper understanding of how the markets really work and boosts the efficiency of any trading methodology. Following in the footsteps of the great W.D. Gann, Jeff Greenblatt helps investors gain greater precision with any instrument they trade, during any time frame. Shows how to combine a variety of technical indicators to pinpoint turning points in the financial markets Makes even the most complex subject matter easy to understand with crystal-clear explanations and step-by-step guidance on all concepts, terms, processes, and techniques Reveals how to use Elliott Wave Analysis, Fibonacci, candlesticks, and momentum indicators to interpret market movements Breakthrough Strategies for Predicting Any Market shares fascinating and enlightening personal anecdotes from Jeff Greenblatt's career along with his candid reflection on developing and maintaining the mental discipline of a successful trader.
Python For Finance
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Author : Yves J. Hilpisch
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-12-05
Python For Finance written by Yves J. Hilpisch and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-05 with Computers categories.
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.
The Book Of Trading Strategies
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Author : Sofien Kaabar
language : en
Publisher:
Release Date : 2021-07-06
The Book Of Trading Strategies written by Sofien Kaabar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-06 with categories.
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.