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Author: Alpesh Patel
Publisher: John Wiley & Sons
ISBN: 0470684453
Category : Business & Economics
Languages : en
Pages : 256
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Book Description
The Online Trading Cookbook is a unique resource for busy online traders of all levels, addressing the need amongst the growing number of those trading and investing from home for solid, low risk trading strategies which they can incorporate into a busy lifestyle. Suitable for all levels of retail trader and is supplemented by useful advice on the best trading tools, websites and brokers, the different markets available to trade, tips on risk and money management. The book is divided into sections based on levels of complexity and contains specific strategies used by profitable hedge funds as well as strategies used by other professionals, all of which can be implemented by private investors. The opening chapter discusses the professional tools traders will need, from multi-screen hardware, best websites, trading software, data services, brokers, trading products and the types of traders suited to each type of trading. The following chapters give concise novice, intermediate and advanced strategies for short and long term traders. The cookbook format is one of the most popular for teaching complicated subjects. Trading skills are presented and learnt as simply as recipes. This book provides exactly that from trading strategies to risk and money management. Each page presents as ingredients what the trader needs to do, the tools and the preparation with successful examples illustrated on the facing page. Both the proven format and its simplicity are compelling and unique in their application to trading. Written by two celebrated experts in the field, The Online Trading Cookbook is the perfect starting point for anyone wishing to learn to trade or for advanced traders wishing to further their knowledge.
Author: Alpesh Patel
Publisher: John Wiley & Sons
ISBN: 0470684453
Category : Business & Economics
Languages : en
Pages : 256
Get Book
Book Description
The Online Trading Cookbook is a unique resource for busy online traders of all levels, addressing the need amongst the growing number of those trading and investing from home for solid, low risk trading strategies which they can incorporate into a busy lifestyle. Suitable for all levels of retail trader and is supplemented by useful advice on the best trading tools, websites and brokers, the different markets available to trade, tips on risk and money management. The book is divided into sections based on levels of complexity and contains specific strategies used by profitable hedge funds as well as strategies used by other professionals, all of which can be implemented by private investors. The opening chapter discusses the professional tools traders will need, from multi-screen hardware, best websites, trading software, data services, brokers, trading products and the types of traders suited to each type of trading. The following chapters give concise novice, intermediate and advanced strategies for short and long term traders. The cookbook format is one of the most popular for teaching complicated subjects. Trading skills are presented and learnt as simply as recipes. This book provides exactly that from trading strategies to risk and money management. Each page presents as ingredients what the trader needs to do, the tools and the preparation with successful examples illustrated on the facing page. Both the proven format and its simplicity are compelling and unique in their application to trading. Written by two celebrated experts in the field, The Online Trading Cookbook is the perfect starting point for anyone wishing to learn to trade or for advanced traders wishing to further their knowledge.
Author: Pushpak Dagade
Publisher: Packt Publishing Ltd
ISBN: 1838982515
Category : Computers
Languages : en
Pages : 528
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Book Description
Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python Key FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your odds of making a profit without human interventionBook Description If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help. Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders. By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem. Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice. What you will learnUse Python to set up connectivity with brokersHandle and manipulate time series data using PythonFetch a list of exchanges, segments, financial instruments, and historical data to interact with the real marketUnderstand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicatorsDevelop and improve the performance of algorithmic trading strategiesPerform backtesting and paper trading on algorithmic trading strategiesImplement real trading in the live hours of stock marketsWho this book is for If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.
Author: Alpesh Patel
Publisher: John Wiley & Sons
ISBN: 0470661828
Category : Business & Economics
Languages : en
Pages : 256
Get Book
Book Description
The Online Trading Cookbook is a unique resource for busy online traders of all levels, addressing the need amongst the growing number of those trading and investing from home for solid, low risk trading strategies which they can incorporate into a busy lifestyle. Suitable for all levels of retail trader and is supplemented by useful advice on the best trading tools, websites and brokers, the different markets available to trade, tips on risk and money management. The book is divided into sections based on levels of complexity and contains specific strategies used by profitable hedge funds as well as strategies used by other professionals, all of which can be implemented by private investors. The opening chapter discusses the professional tools traders will need, from multi-screen hardware, best websites, trading software, data services, brokers, trading products and the types of traders suited to each type of trading. The following chapters give concise novice, intermediate and advanced strategies for short and long term traders. The cookbook format is one of the most popular for teaching complicated subjects. Trading skills are presented and learnt as simply as recipes. This book provides exactly that from trading strategies to risk and money management. Each page presents as ingredients what the trader needs to do, the tools and the preparation with successful examples illustrated on the facing page. Both the proven format and its simplicity are compelling and unique in their application to trading. Written by two celebrated experts in the field, The Online Trading Cookbook is the perfect starting point for anyone wishing to learn to trade or for advanced traders wishing to further their knowledge.
Author: Alpesh B. Patel
Publisher: Financial Times/Prentice Hall
ISBN: 9780273635413
Category : Business & Economics
Languages : en
Pages : 388
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Book Description
The investment market is experiencing a massive swing towards online investing. "Trading Online" introduces private investors to this expanding world of Internet investing. Guiding investors step-by-step through the mass of information, the book directs them to the best deals and teaches them the necessary skills to trade efficiently, effectively and profitably. Demonstrating the latest net strategies and offering practical advice throughout, the book shows investors, from "net virgins" to sophisticated users, how to apply key techniques to Internet trading.
Author: Yves Hilpisch
Publisher: O'Reilly Media
ISBN: 1492053325
Category : Computers
Languages : en
Pages : 380
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Book Description
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms
Author: Dan Murphy
Publisher:
ISBN: 9780989483308
Category : Day trading (Securities)
Languages : en
Pages : 186
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Book Description
Fact: 95% of short-term traders lose money. Even worse, the average stock-picking newsletter has returned -3.7% annually over the past 30 years (Source: Jack Schwager, Market Sense and Nonsense). Despite the seemingly insurmountable odds of becoming a successful trader, it is not only possible, but also probable. But you need to be pointed in the right direction. Inside, you will find the roadmap to becoming a successful systematic trader from a trading skeptic who has never trusted a guru or talking head marched on TV if he can't test their ideas. Here are the highlights: How to automate your trading by working 10x smarter so you can make 10x more money, at 10x the speed, all while having 10x more free time and fun. How to ditch your trading hobby and create your trading business. How to cash in on a $25,000 reward for this one idea. The greatest enemy to your success as a trader. What the Holy Grail of trading is, and more importantly, what it isn't. How to overcome the pitfalls of back-testing before you blow out your account. The "make it or break it" test you must subject every trading strategy to. If it doesn't pass this, it won't work with real money. Why technical analysis is not only dead, it was dead on arrival. The trick to speed up your system design process from months to less than a week. How to profit from a simple change in trading that exposes the flaw of a multimillion-dollar industry. And much more...
Author: Chris Camillo
Publisher: St. Martin's Press
ISBN: 1429989661
Category : Business & Economics
Languages : en
Pages : 239
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Book Description
$20,000 to $2 million in only three years— the greatest stock-picker you never heard of tells you how you can do it too Chris Camillo is not a stockbroker, financial analyst, or hedge fund manager. He is an ordinary person with a knack for identifying trends and discovering great investments hidden in everyday life. In early 2007, he invested $20,000 in the stock market, and in three years it grew to just over $2 million. With Laughing at Wall Street, you'll see: •How Facebook friends helped a young parent invest in the wildly successful children's show, Chuggington—and saw her stock values climb 50% •How an everyday trip to 7-Eleven alerted a teenager to short Snapple stock—and tripled his money in seven days •How $1000 invested consecutively in Uggs, True Religion jeans, and Crocs over five years grew to $750,000 •How Michelle Obama caused J. Crew's stock to soar 186%, and Wall Street only caught up four months later! Engaging, narratively-driven, and without complicated financial analysis, Camillo's stock picking methodology proves that you do not need large sums of money or fancy market data to become a successful investor.
Author: Emilio Tomasini
Publisher: Harriman House Pub
ISBN: 9781905641796
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
"Trading Systems" offers an insight into what a trader should know and do in order to achieve success on the markets.
Author: George Fontanills
Publisher: John Wiley & Sons
ISBN: 9780471359388
Category : Business & Economics
Languages : en
Pages : 382
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Book Description
With the advent of online and electronic trading, more investors are turning into traders. This book takes a critical look at the online brokers that offer options trading and shows how trading strategies work in the online world.
Author: Eryk Lewinson
Publisher: Packt Publishing Ltd
ISBN: 1789617324
Category : Computers
Languages : en
Pages : 426
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Book Description
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
