View all Courses. Need help? Write to us at quantra quantinsti. Know Your Options! This section introduces the basic concepts of call and put options, along with the Python code payoff graphs. Options Terminology.

Upfront Payment. Options Price. Put Options. PnL of a Put Option. Breakeven Point. Put Option Payoff. Value of a Call Option. PnL of a Call Option. Call Option Payoff. Call Option Payoff With Premium. Options Nomenclature. This covers the types of options based on different parameters like exercisability, tradability etc. It also explains the important concepts of moneyness and put-call parity.

Types of Options. Options Exercise Date. Moneyness of Option. Intrinsic Value of Option.

Time Value of Option. Open Interest and Volume. Open Interest. Calculate Open Interest. Calculate Volume.

Factors Affecting the Price of Option. Types of Volatility. Different types of volatility like historical, implied and realized volatility are covered in this section. It also includes the Python code and calculation for historical volatility. Normal Probability Distribution. Daily Returns Distribution. Measure of Risk. Standard Normal Distribution. Measurement of Volatility. Implied Volatility. Historical Volatility Calculation.

Compute Historical Volatility. Frequently Asked Questions.

Options Trading Strategies. This section explains different options trading strategies like bull call, bear spread, protective put, Iron Condor strategy, and covered call strategy along with the Python code. It also acquaints one with the concept of hedging in options. Delta Trading Strategies. Bull Call Spread. Bear Put Spread. Maximum Loss. Bull Call Spread Payoff. Bear Put Spread Payoff.

Maximum Profit. Hedging With Options.

Options Trading Course Basics

Protective Put. Covered Call. Protective Put Payoff. Covered Call Payoff. Neutral Strategy: Iron Condor. Python Installation and Automated Execution. Install the Python environment in your local machine. Tweak the strategies created in the course with your own data and ideas. Learn about the main steps you need to take to automate the trading strategy for real trading using a broker's account. How to Install Anaconda for Python. Anaconda Installation Guide. How to use Jupyter Notebook?

How to use Spyder interface? A Short Guide on Automated Execution.

Wrapping Up! This section summarises the course and provides downloadable strategy codes. Python Codes and Data. NSE is the world's largest derivatives exchange by the number of contracts traded in and the leading stock exchange in India. NSE is a pioneer in technology and ensures the reliability and performance of its systems through a culture of innovation and investment in technology. I enrolled in this course to get an idea of how one can implement options strategies using Python and this course did exactly the same.

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It helped me get a better understanding of the implementation side of things. The sample codes are very well structured and explained in depth through comments, which enabled me to understand the code better. Also, concepts are explained using Indian stocks as examples, which made the learning journey quite relatable.