Transform financial market data into algorithmic trading strategies and deploy them into a live trading environment with recipes leveraging modern Python libraries like pandas, Polars, and DuckDBKey FeaturesBacktest Python trading strategies with VectorBT and Zipline Reloaded using walk-forward analysisMeasure risk, performance, and alpha quality with Alphalens Reloaded and PyFolioAutomate strategy execution with the Interactive Brokers API for...

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 Get With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader FreeKey FeaturesFollow practical Python recipes to acquire, visualize, and store market data for market researchDesign, backtest, and evaluate the performance of trading strategies using professional techniques...

Although web components are still on the bleeding edge—barely supported in modern browsers—the technology is also moving extremely fast. This practical guide gets you up to speed on the concepts underlying W3C’s emerging standard and shows you how to build custom, reusable HTML5 Web Components.Regardless of your experience with libraries such as jQuery and Polymer, this book teaches JavaScript developers the DOM manipulations these libraries perform. You’ll learn how to build a bas...

Isomorphic JavaScript, often described as the holy grail of web application development, refers to running JavaScript code on both the browser client and web application server. This application architecture has become increasingly popular for the benefits of SEO, optimized page load and full control of the UI, and isomorphic libraries are being used at companies like Walmart, Airbnb, Facebook, and Netflix.With this practical book, authors Jason Strimpel and Maxime Najim provide th...

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...

The NinjaScript Programmer's Launch Pad V8 is a tutorial designed for C#.NET programmers new to NinjaTrader 8's NinjaScript programming environment. It begins by providing the new NinjaScript programmer with a clear understanding of the underlying structure, data, key classes, and efficient programming techniques for writing NinjaScript indicators. This same foundation of knowledge is necessary for creating automation strategies in NinjaScript, although automated strategies are beyond the ...

NOTE: There is a new edition of this eBook called The NinjaScript Programmer's Launch Pad V8 that addresses NinjaTrader 8.The NinjaScript Programmer's Launch Pad is a tutorial designed for programmers new to NinjaTrader's NinjaScript programming environment. It begins by providing the new NinjaScript programmer with a clear understanding of the underlying structure, data, key classes, and efficient programming techniques for writing NinjaScript indicators. This same foundation of k...

Build and backtest your algorithmic trading strategies to gain a true advantage in the marketKey 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 DescriptionCreating an effective...

A practical guide to data mining using SQL and ExcelData Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis—SQL and Excel—to perform sophisticated data analysis without the need for complex and expensive data mining tools. Written by a leading expert on business data mining, this book shows you how to extract useful business information from relational databases. You'll learn the funda...

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problemsPurchase of the print or Kindle book includes a free eBook in the PDF formatKey FeaturesExplore unique recipes for financial data processing and analysis with PythonApply classical and machine learning approaches to financial time series analysisCal...

Because there is so much of a buzz around the R programming language in the data science and analytics world, in health-care and other domains, I wrote a book on R-programming for data analysis. The book aims to teach data analysis using R within a single day to anyone who already knows some programming in any other language. The book has sample code (which can be downloaded as a zip file from the Dropbox link provided in the text of the book) that uses the freely available, CMS-sourced Me...

Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applicationsKey FeaturesExplore advanced financial models used by the industry and ways of solving them using PythonBuild state-of-the-art infrastructure for modeling, visualization, trading, and moreEmpower your financial applications by applying machine learning and deep learningBook DescriptionThe second edition of...