Hardcover. Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using Ra practical, hands-on guide for turning data into trading decisions.This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to: Design systematic trading strategies in R and understand why they work. Apply robust statistical and econometric methods to financial data for better predictions. Evaluate risk and performance metrics to refine strategies with confidence. Automate workflows so insights move faster from model to market.Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challengesfrom portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.Whether youre coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed. Prescriptions for Quant Traders Using R is a practical, hands-on guide for turning data into trading decisions. This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. It delivers step-by-step prescriptions using Rscript-driven tasks that solve real-world trading problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781032972268

Contact seller

Report this item

Bibliographic Details

Title: Prescriptions for Quant Traders Using R (Hardcover)
Publisher: Taylor & Francis Ltd
Publication Date: 2026
Language: English
ISBN 10: 1032972262
ISBN 13: 9781032972268
Binding: Hardcover
Condition: new

About this title

Synopsis

Unlock the full potential of quantitative trading with Prescriptions for Quant Traders Using R―a practical, hands-on guide for turning data into trading decisions.

This book is written for quantitative traders, financial analysts, and data scientists who want more than theory. Organized into ten structured parts, it delivers step-by-step “prescriptions” using R―script-driven tasks that solve real-world trading problems. Each prescription is designed to be immediately actionable, so readers can move from concept to implementation without guesswork.

What makes this book different is its clarity, utility, and its link to online video walk-throughs of R scripts. Modeled in the spirit of a Scientific American article, the text flows seamlessly without interruptions, yet a comprehensive bibliography ensures depth and rigor. Every chapter blends explanation with executable code, enabling traders to:

Design systematic trading strategies in R ― and understand why they work.
Apply robust statistical and econometric methods to financial data for better predictions.
Evaluate risk and performance metrics to refine strategies with confidence.
Automate workflows so insights move faster from model to market.

Whether you are a retail trader aiming to compete with professionals, a financial analyst seeking sharper models, or a data scientist expanding into trading, this book bridges the gap between theory and practice.

Readers will find special value in the prescription-based approach. Just as a doctor prescribes remedies, these scripts deliver targeted solutions to trading challenges―from portfolio optimization and volatility forecasting to Bayesian inference and machine learning integration.

In a marketplace where retail participation continues to grow, Prescriptions for Quant Traders Using R equips you with the knowledge, tools, and confidence to approach trading systematically. The result: deeper insights, stronger discipline, and strategies that stand the test of real-world markets.

Whether you’re coding your first model or refining a sophisticated strategy, this book provides the prescriptions you need to succeed.

About the Author

Jason Guevara is a financial analyst and accountant. He maintains a YouTube channel (https://www.youtube. com/@quantroom) dedicated to developing practical R scripts to assist active traders and R quants. Jason also does contract work for OIS Market Research Group as an R financial systems architect, coder, and developer. Jason provides a unique blend of financial expertise and coding experience to the quant finance field. Jason holds a Bachelor of Science degree in Finance and a minor in economics from California State University (CSU)–Northridge (2014). Jason’s passion for markets began during the Great Recession. The rise of algorithmic trading at that time ignited his passion which to date continues to fuel his productivity. Jason uses his R programming skills to craft algorithmic trading scripts for personal exploration, research, and applications. He has been programming in R since 2012. Jason’s dedicated YouTube channel is the premier guide for traders looking to master R in finance. By sharing his expertise online, he equips traders with the confidence to navigate the complex field of algorithmic trading.

Dr. Oskars Linares is Founder (2015), Research Director and Quant Strategist, OIS Market Research Group, Michigan, USA―a research and investment group specializ- ing in generating premium using equity, index, and futures options. Oskars is a member of the International Institute of Forecasters. He developed a Minimal-Model (MinMod) to inform the OIS Market Research Group’s equity, index, and futures trading. He also developed an SDE ARIMA- variant forecaster to assist decision-making selecting option strike prices using empirical probability distributions with Bayesian updating. Oskars began his mathematical modeling career under the gentle guidance of Dr. Loren Zech (Senior Scientist, Laboratory of Mathematical Biology, National Cancer Institute, National Institutes of Health, Bethesda, MD) using S-PLUS, and began migrating to R in 1995 while at the University of Michigan, Ann Arbor. Working with Dr. Ray Boston at UPENN, Oskars applied Bayesian multilevel models for repeated measurement data in their research. Oskars has published over 80 peer-reviewed scientific research papers in prestigious scientific journals, several book chapters, and is co-author of the first editions of Investigating Biological Systems Using Mod- eling (Academic Press, 1999) and Plain English for Doctors and Other Medical Scientists (Oxford University Press, 2017). He received the Great Seal of the United States Award (1993) for his advancements in mathematical-medicine research on aging. Oskars now lives in R�ıga, Latvija.

"About this title" may belong to another edition of this title.

Store Description

Visit Seller's Storefront

Seller's business information

APOLLO ONLINE CORP.
605 Geddes Street, Wilmington, DE, 19805, U.S.A.

Sale & Shipping Terms

Terms of Sale

We guarantee the condition of every book as it�s described on the Abebooks web sites. If you�ve changed
your mind about a book that you�ve ordered, please use the Ask bookseller a question link to contact us
and we�ll respond within 2 business days.
Books ship from California and Michigan.

Right of withdrawal

If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.

Information regarding the right of withdrawal

Statutory right to withdraw

You have the right to withdraw from this contract within 14 days without giving any reason.

The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.

To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.

To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.

Effects of withdrawal

If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).

We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.

We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.

We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.

We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.

You shall send back the goods or hand them over to Grand Eagle Retail, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.

Exceptions to the right of withdrawal

The right of withdrawal does not apply to:

The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.

Shipping Terms

Orders usually ship within 2 business days. All books within the US ship free of charge. Delivery is 4-14 business days anywhere in the United States.

Books ship from California and Michigan.

If your book order is heavy or oversized, we may contact you to let you know extra shipping is required.

Shipping rates within U.S.A.

Shipping rates within U.S.A.
Order quantity	6 to 16 business days	6 to 14 business days
First item	� 0.00	� 0.00

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.