The Encyclopedia of Trading Strategies PDF Download
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Author: Jeffrey Owen Katz
Publisher: McGraw Hill Professional
ISBN: 0071379010
Category : Business & Economics
Languages : en
Pages : 399
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Book Description
The Encyclopedia of Trading Strategies is for traders who want to take the next step to consistently profitable trading. The authors--themselves seasoned veterans of the futures trading arena--pinpoint the trading methods and strategies that have been shown to produce market-beating returns. Their rigorous and systematic backtesting of each method, using the same sets of markets and analytic techniques, provides a scientific, system-based approach to system development...to help you assemble the trading system that will put you on the road to becoming a more consistently profitable trader.
Author: Jeffrey Owen Katz
Publisher: McGraw Hill Professional
ISBN: 0071379010
Category : Business & Economics
Languages : en
Pages : 399
Get Book Here
Book Description
The Encyclopedia of Trading Strategies is for traders who want to take the next step to consistently profitable trading. The authors--themselves seasoned veterans of the futures trading arena--pinpoint the trading methods and strategies that have been shown to produce market-beating returns. Their rigorous and systematic backtesting of each method, using the same sets of markets and analytic techniques, provides a scientific, system-based approach to system development...to help you assemble the trading system that will put you on the road to becoming a more consistently profitable trader.
Author: Markos Katsanos
Publisher: John Wiley & Sons
ISBN: 1119995906
Category : Business & Economics
Languages : en
Pages : 428
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Book Description
This book shows traders how to use Intermarket Analysis to forecast future equity, index and commodity price movements. It introduces custom indicators and Intermarket based systems using basic mathematical and statistical principles to help traders develop and design Intermarket trading systems appropriate for long term, intermediate, short term and day trading. The metastock code for all systems is included and the testing method is described thoroughly. All systems are back tested using at least 200 bars of historical data and compared using various profitability and drawdown metrics.
Author: Options Institute (Chicago Board Options Exchange)
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 448
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Book Description
This authoritative guide offers an easy-to-understand, fundamental explanation of the goals and objectives of each player involved in the options trade. Along with this tactical information, traders will gain insight into trading strategies and options concepts. Includes coverage of EAPs, CAPs, and industry indexes.
Author: Sofien Kaabar
Publisher:
ISBN:
Category :
Languages : en
Pages : 330
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Book Description
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.
Author: Steve Moore
Publisher: Wiley
ISBN: 9780471716006
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
A well-researched guide to the most profitable spreads in the futures market The Encyclopedia of Commodity and Financial Spreads is divided by product category-energy, natural gas, meats, soybeans, corn/wheat, currencies, interest rates, and metals. The precise performance of each spread is identified-over the previous 20 years-and combined with a graph that displays visually the price performance of the spread. For each of the 175 trades identified, there is an explanation of the trade, its history, and advice on how traders should approach the trade. Steve W. Moore (Eugene, OR) has been trading and researching the futures markets for more than 25 years. He formed Moore Research in 1990 to provide traders with historical research and seasonal analysis to better trade the commodity markets. Jerry Toepke (Eugene, Oregon) is Editor of Moore Research Center, Inc. Nick Colley (Eugene, Oregon) is Research Director of Moore Research Center, Inc.
Author: Adam Grimes
Publisher: John Wiley & Sons
ISBN: 1118238141
Category : Business & Economics
Languages : en
Pages : 487
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Book Description
A breakthrough trading book that provides powerful insights on profitable technical patterns and strategies The Art and Science of Technical Analysis is a groundbreaking work that bridges the gaps between the academic view of markets, technical analysis, and profitable trading. The book explores why randomness prevails in markets most, but not all, of the time and how technical analysis can be used to capture statistically validated patterns in certain types of market conditions. The belief of the book is that buying and selling pressure causes patterns in prices, but that these technical patterns are only effective in the presence of true buying/selling imbalance. The Art and Science of Technical Analysis is supported by extensive statistical analysis of the markets, which will debunk some tools and patterns such as Fibonacci analysis, and endorse other tools and trade setups. In addition, this reliable resource discusses trader psychology and trader learning curves based on the author's extensive experience as a trader and trainer of traders. Offers serious traders a way to think about market problems, understand their own performance, and help find a more productive path forward Includes extensive research to validate specific money-making patterns and strategies Written by an experienced market practitioner who has trained and worked with many top traders Filled with in-depth insights and practical advice, The Art and Science of Technical Analysis will give you a realistic sense of how markets behave, when and how technical analysis works, and what it really takes to trade successfully.
Author: Jiri Pik
Publisher: Packt Publishing Ltd
ISBN: 1838988807
Category : Computers
Languages : en
Pages : 360
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Book Description
Build and backtest your algorithmic trading strategies to gain a true advantage in the market Key FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn how to navigate the different features in Python's data analysis librariesStart systematically approaching quantitative research and strategy generation/backtesting in algorithmic tradingBook Description Creating an effective system to automate your trading can help you achieve two of every trader's key goals; saving time and making money. But to devise a system that will work for you, you need guidance to show you the ropes around building a system and monitoring its performance. This is where Hands-on Financial Trading with Python can give you the advantage. This practical Python book will introduce you to Python and tell you exactly why it's the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using various market data sources. Using Zipline as the backtesting library allows access to complimentary US historical daily market data until 2018. As you advance, you will gain an in-depth understanding of Python libraries such as NumPy and pandas for analyzing financial datasets, and explore Matplotlib, statsmodels, and scikit-learn libraries for advanced analytics. As you progress, you'll pick up lots of skills like time series forecasting, covering pmdarima and Facebook Prophet. By the end of this trading book, you will be able to build predictive trading signals, adopt basic and advanced algorithmic trading strategies, and perform portfolio optimization to help you get —and stay—ahead of the markets. What you will learnDiscover how quantitative analysis works by covering financial statistics and ARIMAUse core Python libraries to perform quantitative research and strategy development using real datasetsUnderstand how to access financial and economic data in PythonImplement effective data visualization with MatplotlibApply scientific computing and data visualization with popular Python librariesBuild and deploy backtesting algorithmic trading strategiesWho this book is for If you're a financial trader or a data analyst who wants a hands-on introduction to designing algorithmic trading strategies, then this book is for you. You don't have to be a fully-fledged programmer to dive into this book, but knowing how to use Python's core libraries and a solid grasp on statistics will help you get the most out of this book.
Author: Thomas N. Bulkowski
Publisher: John Wiley & Sons
ISBN: 1118045858
Category : Business & Economics
Languages : en
Pages : 1145
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Book Description
In this revised and expanded second edition of the bestselling Encyclopedia of Chart Patterns, Thomas Bulkowski updates the classic with new performance statistics for both bull and bear markets and 23 new patterns, including a second section devoted to ten event patterns. Bulkowski tells you how to trade the significant events -- such as quarterly earnings announcements, retail sales, stock upgrades and downgrades -- that shape today?s trading and uses statistics to back up his approach. This comprehensive new edition is a must-have reference if you're a technical investor or trader. Place your order today. "The most complete reference to chart patterns available. It goes where no one has gone before. Bulkowski gives hard data on how good and bad the patterns are. A must-read for anyone that's ever looked at a chart and wondered what was happening." -- Larry Williams, trader and author of Long-Term Secrets to Short-Term Trading
Author: Alan Ellman
Publisher:
ISBN: 9781937183066
Category :
Languages : en
Pages : 522
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Book Description
A low-risk, wealth-building strategy for average investors which utilizes stocks and options to create monthly cash flow
Author: Zura Kakushadze
Publisher: Springer
ISBN: 3030027929
Category : Business & Economics
Languages : en
Pages : 480
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Book Description
The book provides detailed descriptions, including more than 550 mathematical formulas, for more than 150 trading strategies across a host of asset classes and trading styles. These include stocks, options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles, structured assets, volatility, real estate, distressed assets, cash, cryptocurrencies, weather, energy, inflation, global macro, infrastructure, and tax arbitrage. Some strategies are based on machine learning algorithms such as artificial neural networks, Bayes, and k-nearest neighbors. The book also includes source code for illustrating out-of-sample backtesting, around 2,000 bibliographic references, and more than 900 glossary, acronym and math definitions. The presentation is intended to be descriptive and pedagogical and of particular interest to finance practitioners, traders, researchers, academics, and business school and finance program students.
