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Learning Quantitative Finance with R
Implement machine learning, time-series analysis, algorithmic trading and more
2017
EN
Get the most out of R to solve your real-world quantitative finance problems with easeKey Features\[\*\] Understand the basics of R and how they can be applied in various Quantitative Finance scenarios\[\*\] Learn various algorithmic trading techniques and ways to optimize them using the tools available in R.\[\*\] Contain different methods to manage risk and explore trading using Machine Learning.Book DescriptionThe role of ...
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Algorithmic Trading
Winning Strategies and Their Rationale
- Series -
- Wiley Trading
2013
EN
Praise for Algorithmic TRADING“Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how...
2014
EN
NEW & IMPROVED SIGNALLING SYSTEM!Since the highly successful debutant of "Making Money with Binary Options Starter Kit", comes the NEW and IMPROVED binary options trading starter guide for FOREX binary trading.- New signal rules for trading forex binary options.- Easier and simpler steps to follow and start earning faster.- Improved with One-Click chart for signalling rules. No setup required.- More trade logs to share and learn. See how my trades pr...
1998
EN
Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial...
2015
EN
The fast and easy way to make sense of statistics for big dataDoes the subject of data analysis make you dizzy? You've come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you'll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cl...
TradeStation Made Easy!
Using EasyLanguage to Build Profits with the World's Most Popular Trading Software
- Book 516 -
- Wiley Trading
2011
EN
Customize your trading plan for greater profits using the mostpopular charting softwareThe majority of professional and individual traders use somekind of trading software on which to base their strategies. Withover 100,000 users, the most popular trading software today isTradeStation, published by TradeStation Technologies. While thissoftware is favored by many, TradeStation's computer language canbe confusing, especially for the novice.TradeStation Made Easy! is the first...
2014
EN
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
25 Recipes for Getting Started with R
Excerpts from the R Cookbook
2011
EN
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performi...
Machine Trading
Deploying Computer Algorithms to Conquer the Markets
- Series -
- Wiley Trading
2016
EN
Dive into algo trading with step-by-step tutorials and expert insightMachine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You'll discover the latest platforms that are becoming increasingly easy to use, gain access to new...
2012
EN
Driven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite ...
- Book 314 -
- Wiley Trading
2011
EN
A newly expanded and updated edition of the trading classic, Design, Testing, and Optimization of Trading SystemsTrading systems expert Robert Pardo is back, and in The Evaluation and Optimization of Trading Strategies, a thoroughly revised and updated edition of his classic text Design, Testing, and Optimization of Trading Systems, he reveals how he has perfected the programming and testing of trading systems using a successful battery of his own...
R Data Science Essentials
R Data Science Essentials
2016
EN
Learn the essence of data science and visualization using R in no time at allKey Features\[\*\]Become a pro at making stunning visualizations and dashboards quickly and without hassle\[\*\]For better decision making in business, apply the R programming language with the help of useful statistical techniques.\[\*\]From seasoned authors comes a book that offers you a plethora of fast-paced techniques to detect and analyze data patterns











