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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.
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.
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment Key Features Follow practical Python recipes to acquire, visualize, and store market data for market research Design, backtest, and evaluate the performance of trading strategies using professional techniques Deploy trading strategies built in Python to a live trading environment with API connectivity Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading. Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details. By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.What you will learn Acquire and process freely available market data with the OpenBB Platform Build a research environment and populate it with financial market data Use machine learning to identify alpha factors and engineer them into signals Use VectorBT to find strategy parameters using walk-forward optimization Build production-ready backtests with Zipline Reloaded and evaluate factor performance Set up the code framework to connect and send an order to Interactive Brokers Who this book is for Python for Algorithmic Trading Cookbook equips traders, investors, and Python developers with code to design, backtest, and deploy algorithmic trading strategies. You should have experience investing in the stock market, knowledge of Python data structures, and a basic understanding of using Python libraries like pandas. This book is also ideal for individuals with Python experience who are already active in the market or are aspiring to be.
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.
This unique cookbook contains a wealth of solutions to problems that SQL programmers face all the time. The recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Authors Ales Spetic and Jonathan Gennick, two authorities with extensive database and SQL programming experience, include a discussion with each recipe to explain the logic and concepts underlying the solution.SQL (Structured Query Language) is the closest thing to a standard query language that currently exists, and Transact-SQL -- a full-featured programming language that dramatically extends the power of SQL -- is the procedural language of choice for both Microsoft SQL Server and Sybase SQL Server systems. The Transact-SQL Cookbook is designed so you can use the recipes directly, as a source of ideas, or as a way to learn a little more about SQL and what you can do with it. Topics covered include: Audit logging. In addition to recipes for implementing an audit log, this chapter also includes recipes for: improving performance where large log tables are involved; supporting multiple-languages; and simulating server push. Hierarchies. Recipes show you how to manipulate hierarchical data using Transact-SQL. Importing data. This chapter introduces concepts like normalization and recipes useful for working with imported data tables. Sets. Recipes demonstrate different operations, such as how to find common elements, summarize the data in a set, and find the element in a set that represents an extreme. Statistics. This chapter?s recipes show you how to effectively use SQL for common statistical operations from means and standard deviations to weighted moving averages. Temporal data. Recipes demonstrate how to construct queries against time-based data. Data Structures. This chapter shows how to manipulate data structures like stacks, queues, matrices, and arrays. With an abundance of recipes to help you get your job done more efficiently, the Transact-SQL Cookbook is sure to become an essential part of your library.
Use Java and Deeplearning4j to build robust, scalable, and highly accurate AI models from scratch Key FeaturesInstall and configure Deeplearning4j to implement deep learning models from scratchExplore recipes for developing, training, and fine-tuning your neural network models in JavaModel neural networks using datasets containing images, text, and time-series dataBook Description Java is one of the most widely used programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently. This book starts by showing you how to install and configure Java and DL4J on your system. You will then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you will discover how to build a convolutional neural network (CNN) in DL4J, and understand how to construct numeric vectors from text. This deep learning book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you will learn how to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you will explore benchmarking in DL4J and optimize neural networks for optimal results. By the end of this book, you will have a clear understanding of how you can use DL4J to build robust deep learning applications in Java. What you will learnPerform data normalization and wrangling using DL4JBuild deep neural networks using DL4JImplement CNNs to solve image classification problemsTrain autoencoders to solve anomaly detection problems using DL4JPerform benchmarking and optimization to improve your model's performanceImplement reinforcement learning for real-world use cases using RL4JLeverage the capabilities of DL4J in distributed systemsWho this book is for If you are a data scientist, machine learning developer, or a deep learning enthusiast who wants to implement deep learning models in Java, this book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to get the most out of this book.
With The South Beach Diet, Dr. Arthur Agatston ended the low carb versus low fat debate and educated the country about healthy carbs and fats. In The South Beach Diet Gluten Solution, he cleared up the confusion surrounding gluten and helped people find their own gluten threshold (what he calls becoming gluten aware). Now he clarifies another matter: Gluten-free eating does not mean you have to sacrifice flavor or good nutrition. The South Beach Diet Gluten Solution Cookbook makes creative use of gluten-free ingredients in 175 recipes that will please even the most discerning palates. Mouth-watering dishes like Bacon and Pecan Breakfast Biscuits, Vegetable Quiche with Spinach Crust, Johnnycake Chicken Sandwiches, Shrimp and Chicken Pad Thai, Summer Berry Tart, and Cashew-Butter Cookies will more than satisfy the heartiest (and healthiest) of appetites. And with many of the recipes taking 30 minutes or less from start to finish, this book is perfect for the busiest of cooks. Unlike the recipes found in many gluten-free cookbooks, those in The South Beach Diet Gluten Solution Cookbook are free of highly refined flours, sugars, and artery-clogging saturated fats—but are still packed with plenty of flavorful ingredients. Even readers who aren't gluten-free 100 percent of the time will enjoy reaping the health rewards of these diet-friendly and delicious dishes.
"Discover the wonder of nature's living colors and transform everyday items with The Natural Colors Cookbook, your guide to creating a spectrum of organic dyes using seasonal produce and leftover food."--Page 4 of cover.