100 Days of Hell with Python Algo Trading? - Theoretical Pricing Model & Expected Value | Option Trading | 53/100 Days of Python Algo Trading

Python Algotrading eBook - https://linktr.ee/kuldeepsinghalgo MCQs +Mini Projects - https://linktr.ee/kuldeepsinghalgo Python Algotrading Book (Hard Copy ) - https://www.amazon.com/dp/B0F3S8FQ7C Download code from Skool Community - https://www.skool.com/the-quantitative-elite-1670 MCQs +Mini Projects - https://linktr.ee/kuldeepsinghalgo Theoretical Pricing Model & Expected Value | Option Trading | 53/100 Days of Python Algo Trading Connect with me directly - https://www.skool.com/the-quantitative-elite Sheldon Natenberg Book Link - https://amzn.to/3WgsCqL Join us on Day 53 of "100 Days of Python Algo Trading" as we delve into the intricacies of theoretical pricing models and expected values in option trading. Today's session will focus on understanding the role of probability in these models, exploring various theoretical frameworks used in pricing options, and discussing how these models are used to calculate the expected value of options, aiding in decision-making and risk assessment. What You'll Learn: Introduction (Starts at 00:00:00): A brief overview of the session, setting the stage for a deep dive into the mathematical foundations of option trading. What is Probability? (Starts at 00:00:29): An introduction to probability theory as it applies to financial markets, focusing on its fundamental role in determining the likelihood of various outcomes in option trading. What are the Models? (Starts at 00:03:28): We will explore several key theoretical pricing models used in option trading, such as the Black-Scholes model, binomial models, and Monte Carlo simulations, discussing their assumptions, applications, and how they influence the expected value calculations. Engage with Us: Interactive Learning: This session includes practical examples and calculations to demonstrate how theoretical pricing models are applied in real-world trading scenarios. Ask Questions: If you have questions about specific models or need clarification on the concepts discussed, please comment below. Subscribe for More: Make sure to subscribe and turn on notifications to stay updated with our comprehensive guide through Python and trading. This tutorial is designed to provide traders, both novice and experienced, with the tools they need to understand and utilize complex theoretical models that underpin modern financial strategies. By the end of this video, you'll have a clearer understanding of how probabilities and theoretical models shape the pricing strategies in the options market. Timestamps: 00:00:00 - Introduction 00:00:29 - What is Probability? 00:03:28 - What are the Models? Join us as we continue to uncover the methodologies that professionals use to price and trade options effectively, enhancing your trading toolkit with advanced mathematical and computational techniques. Connect with us YouTube www.youtube.com/@KuldeepSinghAlgo Instagram https://www.instagram.com/kuldeepsinghalgo/ Facebook https://www.facebook.com/Kuldeepsinghalgo/ X ( twitter ) https://twitter.com/Kuldeepalgo LinkedIn https://www.linkedin.com/in/kuldeepsinghalgo/ Discord https://discord.gg/TVdMnvR8Pb Telegram https://web.telegram.org/k/#@kuldeepsinghalgo WhatsApp https://whatsapp.com/channel/0029VaMXvPvK5cDDnQeIsg0s GitHub https://github.com/thekuldeepsingh/100-Days-Of-Hell-With-Python-Algotrading/ Tags python for beginners python for finance python for trading python algo trading tutorial AI in trading machine learning for beginners machine learning algorithms for trading deep learning for finance algorithmic trading strategies how to build a trading bot with python trading bot tutorial algo trading for beginners machine learning for beginners course AI for beginners course python for algo trading beginners machine learning for algo trading strategies how to build an AI trading bot with python Python mini projects Data science projects Data analysis projects Algotrading projects #pricingmodel #expectedvalue #optiontrading #optionprofit #optionloss #stockoptions #stock #python #pythonprogramming #pythontrading #pythonalgotrading #artificialintelligence #AI #machinelearning #ML #deeplearning #algorithms #algotrading #algorithmictrading #trading #finance #cryptocurrency #bitcoin #option #optiontrading #optionvolatility #optiontrading #trading #tradingstrategies #quantitativetrading #quantitativeanalysis