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Learn to trade algorithmically with your existing brokerage, from
data management, to strategy optimization, to order execution,
using free and publicly available data. Connect to your brokerage's
API, and the source code is plug-and-play. Automated Trading with R
explains automated trading, starting with its mathematics and
moving to its computation and execution. You will gain a unique
insight into the mechanics and computational considerations taken
in building a back-tester, strategy optimizer, and fully functional
trading platform. The platform built in this book can serve as a
complete replacement for commercially available platforms used by
retail traders and small funds. Software components are strictly
decoupled and easily scalable, providing opportunity to substitute
any data source, trading algorithm, or brokerage. This book will:
Provide a flexible alternative to common strategy automation
frameworks, like Tradestation, Metatrader, and CQG, to small funds
and retail traders Offer an understanding of the internal
mechanisms of an automated trading system Standardize discussion
and notation of real-world strategy optimization problems What You
Will Learn Understand machine-learning criteria for statistical
validity in the context of time-series Optimize strategies,
generate real-time trading decisions, and minimize computation time
while programming an automated strategy in R and using its package
library Best simulate strategy performance in its specific use case
to derive accurate performance estimates Understand critical
real-world variables pertaining to portfolio management and
performance assessment, including latency, drawdowns, varying trade
size, portfolio growth, and penalization of unused capital Who This
Book Is For Traders/practitioners at the retail or small fund level
with at least an undergraduate background in finance or computer
science; graduate level finance or data science students
Understand Blender's Python API to allow for precision 3D modeling
and add-on development. Follow detailed guidance on how to create
precise geometries, complex texture mappings, optimized renderings,
and much more. This book is a detailed, user-friendly guide to
understanding and using Blender's Python API for programmers and 3D
artists. Blender is a popular open source 3D modeling software used
in advertising, animation, data visualization, physics simulation,
photorealistic rendering, and more. Programmers can produce
extremely complex and precise models that would be impossible to
replicate by hand, while artists enjoy numerous new community-built
add-ons. The Blender Python API is an unparalleled programmable
visualization environment. Using the API is made difficult due to
its complex object hierarchy and vast documentation. Understanding
the Blender Python API clearly explains the interface. You will
become familiar with data structures and low-level concepts in both
modeling and rendering with special attention given to optimizing
procedurally generated models. In addition, the book: Discusses
modules of the API as analogs to human input modes in Blender
Reviews low-level and data-level manipulation of 3D objects in
Blender Python Details how to deploy and extend projects with
external libraries Provides organized utilities of novel and mature
API abstractions for general use in add-on development What You'll
Learn Generate 3D data visualizations in Blender to better
understand multivariate data and mathematical patterns. Create
precision object models in Blender of architectural models,
procedurally generated landscapes, atomic models, etc. Develop and
distribute a Blender add-on, with special consideration given to
careful development practices Pick apart Blender's 3D viewport and
Python source code to learn about API behaviors Develop a practical
knowledge of 3D modeling and rendering concepts Have a practical
reference to an already powerful and vast API Who This Book Is For
Python programmers with an interest in data science, game
development, procedural generation, and open-source programming as
well as programmers of all types with a need to generate precise 3D
models. Also for 3D artists with an interest in programming or with
programming experience and Blender artists regardless of
programming experience.
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