Python for Investing: Finance Course - Black-Scholes in Python: Option Pricing Made Easy

Master Finance with Python: Unleash the Power of AI for Smarter Trading and Risk Management!

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12 learners

What you'll learn

Understand the basics of Python programming for finance applications
Learn to optimize investment portfolios using AI-powered tools
Develop skills in building and backtesting trading strategies with Python
Master different methods of calculating Value at Risk (VaR) using Python

This course includes

4.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

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Full Transcript

Unlock the power of the Black-Scholes model with this easy-to-follow Python tutorial. Starting with importing essential libraries, we'll walk you through defining variables, calculating d1, d2, and deriving both call and put option prices. By 9:41, we deep dive into the intuition behind the Black-Scholes pricing formula. Perfect for finance enthusiasts looking to sharpen their Python skills and understand option pricing! 📈 *See Why I Recommend This Broker For Options:* https://ryano.finance/ibkr-overview 💻 *Find the Code Written In this Video Here:* https://ryanoconnellfinance.com/step-by-step-guide-implementing-the-black-scholes-model-in-python/ 🎓 *Columbia AI for Business & Finance Certificate Program* 🎓 ► *Use code RYAN for up to $500 Off:* https://ryano.finance/columbia-ai Chapters: 0:00 - Import the Neccessary Libraries 1:07 - Define the Variables 3:11 - Calculate d1 4:36 - Calculate d2 4:50 - Calculate Call Option Price 7:29 - Calculate Put Option Price 9:41 - Making Sense of the Black Scholes Pricing Model Disclosure: This is not financial advice and should not be taken as such. The information contained in this video is an opinion. Some of the information could be wrong. This channel is owned and operated by Portfolio Constructs LLC. Some of the links above are affiliate links, meaning, at no additional cost to you, I will earn a commission if you click through and make a purchase.