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Duration
11 hours
Delivery Method
Online
Available on
Downloadable Courses, Lifetime Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
11 hours
Course Description
Course Overview
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
You should be aware of the basics of options such as call and put options and have knowledge of the payoff from call and put options
It is also assumed that a learner knows how to place an order to buy and sell options and concepts such as strike price, expiry date, and underlying asset
You can check out our course on Options Trading Strategies: Basics if you are not familiar with options. Knowledge of Python including pandas dataframe, and matplotlib for visualisation, for loops, would be required
What You Will Learn
Backtest options trading strategies such as butterfly, iron condor and spread strategies
Add stop-loss and take profit to options strategy
Calculate the probability of profit using the lognormal and empirical distribution
Explain the limitations of the probability of profits
Analyse the sensitivity of expected profit to the historical data
Evaluate the backtest performance using metrics such as Sharpe ratio and maximum drawdown
Create an options screener to identify the liquid options
Create a tool to identify the best strategy based on expected profit
Paper trade and live trade the strategy
Perform data quality checks on options data
List the steps required to trade options systematically
List the do’s and don’ts while trading options
Apply technical indicators to determine the exit rule for options trading strategy
Course Instructors
Course Reviews
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