The Complete Option Pricing with Reinforcement Learning From A-Z in Python
Are quantitative analysts, data scientists, or aspiring traders looking to gain insight into the options market?
Look no further! This course will help you with skills of Reinforcement Learning (RL) to develop and implement option pricing models entirely in Python.
Here's what you'll get:
- In-depth PDF guide: I crafted a PDF guide that will go through every step of the process, from the fundamentals of RL to building the option pricing model.
- Crystal-clear video lectures: I made a 40-minute Video that will help you understand all the details of the process and better understand fundamentals and codes.
- Python code: I provided a Hands-on Python code that you can replicate all the results.
By the end of this course, you'll be able to:
- Explain the principles of Reinforcement Learning for Option Pricing,
- Apply traditional option pricing methods effectively.
- Develop and train your own RL-based option pricing models using Python.
- Make informed decisions in the options market based on data-driven insights.
🌟 Bonus (Included for free) 🌟
Bonus 1: A Ready-made implementation of Binomial Option Pricing Model (BOPM) for Option Pricing in Python Code.
Bonus 2: A Ready-made implementation of Least Square Monte Carlo (LSM) Option Pricing in Python Code.
FAQ
Who are you?
I am a Ph.D. student with +5 years of experience in programming, having written numerous papers on Reinforcemnet learning, optimization, and Quantitative Finance.
What is a free sample of your work?
Here you can find my free writing explaining a step-by-step process on how to implement the Least Square Monte Carlo (LSMC) method in Python.
Can I receive an invoice?
Yes! Gumroad will send you a receipt with a "generate" button to turn it into an invoice so you can be reimbursed by your employer.