Options Finance: Options Stratigies with Python
Unlock the Power of Python in Options Trading: Master Strategies to Maximize Your Portfolio In the fast-paced world of o
153 69 771KB
English Pages 333 Year 2024
Table of contents :
Title Page
Contents
Chapter 1: Decoding Options: A Look at Trading Mechanics
Chapter 2: Python Programming Fundamentals for Finance
Chapter 3: Comprehending the Black Scholes Model
Chapter 4: A Comprehensive Analysis of the Greeks
Chapter 5: Analysis of Market Data using Python
Chapter 6: Implementing the Black Scholes Model in Python
Chapter 7: Option Trading Strategies
Chapter 8: Automating Trading with Python
Chapter 9: Advanced Concepts in Trading and Python
Chapter 10: Real Life Condor Setups
The Iron Condor Strategy
1:Trade Walkthrough: The Market Stabilizer Iron Condor
2:Trade Walkthrough: The Earnings Play Iron Condor
3:Trade Walkthrough: The Index Balancer Iron Condor
4:Trade Walkthrough: The Monthly Income Iron Condor
5:Trade Walkthrough: The High Volatility Harness Iron Condor
6:Trade Walkthrough: The Sector Speculator Iron Condor
7:Trade Walkthrough: The Diversified Approach Iron Condor
8:Trade Walkthrough: The Gamma Guard Iron Condor
9: Trade Walkthrough: The Trend Follower Iron Condor
10:Trade Walkthrough: The Patient Player Iron Condor
Financial Mathematics
Additional Resources
How to install python
Python Libraries for Finance
Key Python Programming Concepts
How to write a Python Program
Algorithmic Trading Summary Guide
Step 1: Define Your Strategy
Step 2: Choose a Programming Language
Step 3: Select a Broker and Trading API
Step 4: Gather and Analyze Market Data
Step 5: Develop the Trading Algorithm
Step 6: Backtesting
Step 7: Optimization
Step 8: Live Trading
Step 9: Continuous Monitoring and Adjustment
