Principles Of Algorithmic Options Trading

What you'll learn
Basic Options Trading Principles
Technical Analysis and Stock Screening specifically for Options Trading
Analysis of daily stock charts
Strategies for Automated Options Day Trading
Requirements
Basic stock market knowledge, Programming experience, Basic Mathematics & Statistics, Willingness to learn new concepts
Description
Have you ever wondered what algorithmic trading is? Or perhaps you are someone who has been trading stocks for a very long time but never traded options but have always wanted to?If that is the case, you've come to the right place. I've been trading options extensively for the past several years. Since I have a day job, I've invested extensive amount of time in creating an algorithmic engine to trade options in a hands-off manner and I'm going to teach you the basic principles of automated algorithmic options trading.This course covers what options are at a high level, introducing some of the key concepts and how to navigate the important principles that you need to make an impact in options trading all while doing your day job. This course is ideally suited for both beginners, who may be interested in learning about options and key set ups as well as advanced users, who may be interested in automating their options trading strategies so it can free up their time to pursue other hobbies or passions. All I'm looking for in a prospective student is a basic knowledge of stocks, mathematics and above all a willingness to learn and implement new techniques.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Technical Analysis
Lecture 2 Introduction
Lecture 3 Candlestick Charts
Lecture 4 Specialized Candlestick Charts
Lecture 5 Technical Indicators: Volume
Lecture 6 Technical Indicators: On Balance Volume
Lecture 7 Technical Indicators: Volume Weighted Average Price (VWAP)
Lecture 8 Technical Indicators: VWAP Standard Deviation Bands
Lecture 9 Technical Indicators: Anchored VWAP
Lecture 10 Technical Indicators: RSI, MACD
Section 3: Stock Fundamental Analysis
Lecture 11 Fundamental Analysis
Lecture 12 Introductory Stock Screener
Section 4: Introduction to Stock Options
Lecture 13 Fundamentals of Options Trading
Lecture 14 Basic Options: Buy Calls
Lecture 15 Basic Options: Buy Puts
Lecture 16 Basic Options: Sell Calls
Lecture 17 Basic Options: Sell Puts
Lecture 18 Types of Options
Lecture 19 Option Greeks
Section 5: Basics of Algorithmic Trading
Lecture 20 Required Libraries and Setup
Lecture 21 Robinhood Unofficial API Introduction
Lecture 22 TDAmeritrade Unofficial API Introduction
Lecture 23 TDAmeritrade ThjinkorSwim Platform Introduction
Lecture 24 Logging in and Authentication
Lecture 25 Obtaining Real-time Market Data
Lecture 26 Obtaining Option Expiration Dates Algorithmically
Lecture 27 Obtaining Real-time Option Pricing
Lecture 28 Shell Scripting for Automation
Lecture 29 Version Control
Lecture 30 Exception Handling
Lecture 31 Data Robustness
Lecture 32 Simulating Options Trading
Lecture 33 Real-time Option Order Nuances
Section 6: Option Trading Strategies
Lecture 34 RSI + MACD
Lecture 35 Stock Screening Strategy for Non-daily Options
Lecture 36 Obtaining Recent Stock Upgrades/Downgrades Algorithmically
Lecture 37 Obtaining Market Volatility Indices
Lecture 38 Trading Rules and Setup for RSI + MACD
Lecture 39 Trading Setup in Action for RSI + MACD
Lecture 40 Candlesticks + VWAP
Lecture 41 Trading Rules and Setup for Candlesticks + VWAP
Lecture 42 Trading Setup in Action for Candlesticks + VWAP
Lecture 43 Trading Setup in Action for Candlesticks (5 minute) + VWAP
Lecture 44 Candlesticks + OBV
Section 7: Summary
Lecture 45 Summary
This course is ideally suited for beginners as well as advanced users, who may be interested in automating their options trading strategies.

Homepage

https://www.udemy.com/course/principles-of-algorithmic-options-trading/

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