book

Reinforcement Learning for Finance

by Yves Hilpisch

October 2024

Intermediate to advanced

214 pages

5h 4m

English

O'Reilly Media, Inc.

Audio summary available

Read now

Unlock full access

Includes

Includes Quizzes

Target AudienceOverview of the BookAbout the Code in This BookConventions Used in This BookUsing Code ExamplesO’Reilly Online LearningHow to Contact UsAcknowledgments
Bayesian LearningTossing a Biased CoinRolling a Biased DieBayesian UpdatingReinforcement LearningMajor BreakthroughsMajor Building BlocksDeep Q-LearningConclusionsReferences
Decision ProblemsDynamic ProgrammingQ-LearningCartPole as an ExampleThe Game EnvironmentA Random AgentThe DQL AgentQ-Learning Versus Supervised LearningConclusionsReferences
Finance EnvironmentDQL AgentWhere the Analogy FailsLimited DataNo ImpactConclusionsReferences
Noisy Time Series DataSimulated Time Series DataConclusionsReferencesDQLAgent Python Class
Simple ExampleFinancial ExampleKolmogorov-Smirnov TestConclusionsReferences
Prediction Game RevisitedTrading EnvironmentTrading AgentConclusionsReferencesFinance EnvironmentDQLAgent ClassSimulation Environment

Delta HedgingHedging EnvironmentHedging AgentConclusionsReferencesBSM (1973) Formula
Two-Fund SeparationTwo-Asset CaseThree-Asset CaseEqually Weighted PortfolioConclusionsReferencesThree-Asset Code
The ModelModel ImplementationExecution EnvironmentRandom AgentExecution AgentConclusionsReferences
References

Content preview from Reinforcement Learning for Finance

About the Author

Dr. Yves J. Hilpisch is founder and CEO of The Python Quants, a leading organization specializing in open source technologies for financial data science, artificial intelligence, asset management, algorithmic trading, and computational finance. He directs the Certificate in Python for Finance (CPF) Program, a pioneering educational initiative in the field.

He is also the author of the following books:

Derivatives Analytics with Python (Wiley, 2015)
Listed Volatility and Variance Derivatives (Wiley, 2017)
Python for Finance (O’Reilly, 2018)
Python for Algorithmic Trading (O’Reilly, 2020)
Artificial Intelligence in Finance (O’Reilly, 2020)
Financial Theory with Python (O’Reilly, 2021)

Yves is the creator of DX Analytics, a powerful financial analytics library used for derivatives and risk analytics. He regularly organizes meetups, conferences, and bootcamps focusing on Python and AI for quantitative finance and algorithmic trading in global financial hubs such as London and New York. His thought leadership has been recognized through keynote speeches at major technology conferences across the United States, Europe, and Asia.