How to Build a Volatility Trading Dashboard in Python with Interactive Brokers
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The best way to learn to code for quantitative finance is to build projects from scratch. Avoid falling back on AI, it's a shortcut but it won't help you learn - work to write your own solutions and your own code! I love putting these types of videos together so if you would like to see more like this in the future (How To's for building trading tools and systems) please like, subscribe, and let me know in the comments!
Roman
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📖 Chapters:
00:00 - Introduction
02:47 - Using the Implied Volatility Trading Dashboard
10:16 - Getting Started in VSCode
13:14 - Interactive Brokers API Implementation
19:43 - Building the ImpliedVolatilityDashboard Class
24:36 - Creating the User Interface
55:31 - Logging and Connection
1:05:30 - Querying Implied Volatility Data
1:17:48 - Processing Implied Volatility Data
1:24:45 - Updating the Dashboard with Implied Volatility Data
1:43:30 - Regressions on Implied Volatility Data
2:21:18 - Initializing the ImpliedVolatilityDashboard Class
2:22:23 - Debugging Some Errors
2:31:05 - Running the Final Product
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▶️ Related Videos
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• How to Trade Option Implied Volatility
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• Expected Stock Returns Don't Exist
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• How to Trade
How to Trade with an Edge
• How to Trade with an Edge
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