Completed
0:00 Introduction: Browser Use Project
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Building AI Trading Agents with Browser Use for Interactive Brokers
Automatically move to the next video in the Classroom when playback concludes
- 1 0:00 Introduction: Browser Use Project
- 2 2:25 Demo: AI Agents in action: running a stock scanner
- 3 4:33 Demo: AI Agent places a limit order WARNING: very risky!
- 4 5:38 Demo: AI Agent builds a watchlist from a Stocktwits user feed and copy trades
- 5 7:45 Demo: AI Agent uses Perplexity Finance as a research tool, extracts Tesla earnings reaction
- 6 11:38 Capture an animated gif of what the agent did in its session for monitoring
- 7 12:45 Checking out the source code from my Github
- 8 14:22 Browser use overview, packages and dependencies
- 9 17:22 Code walkthrough of “Hello World” of browser use agent
- 10 20:02 Environment variables, OpenAI API Key settings
- 11 21:55 Running the agent, capturing a reddit comment
- 12 23:10 You can use open source models and give it custom API calls / functions to use
- 13 24:30 Connecting it to your brokerage / exchange
- 14 24:58 Getting the Interactive Brokers Web API docker container / source code
- 15 26:38 Flask App Python code walkthrough
- 16 27:58 Bringing up the docker container
- 17 28:41 Authenticating, paper trading vs. live trading
- 18 30:11 Making web apps useable by AI agents
- 19 30:34 Demo: showing the agent how to scan for high dividend yield stocks
- 20 34:15 Demo: copying trading a stocktwits user
- 21 36:33 Unlike OpenAI Operator, open source doesn't prevent risky transactions
