Скачать или смотреть Deploying a Python Trading Algo: From Automation to Live Exchange Execution Part 2

In Part 1, we discovered a logic trading signal in weather data. In this video, we take the crucial next step: We bring the algorithm LIVE.

This is the move from a theoretical backtest to the real world of automated trading. I'm showing you the complete technical architecture required to run a trading strategy 24/7 on a live server. We'll go deep into the specific Python scripts that:

Generate the daily signal and manage the portfolio state.

Connect directly to the Interactive Brokers (IBKR) API to execute trades.

Monitor and log the daily performance.

You will learn how we automate the entire process using Cron Jobs and see the final piece of the puzzle that connects our code to real money on the exchange. This isn't theory anymore – this is a practical guide to deploying a Python trading algorithm.

TIMESTAMPS:
0:00 - Recap & The Critical Upgrade (Adding Short Selling)
2:30 - From Research to Production: Our System Architecture
4:00 - The 'Brain': Inside the Daily Signal Script (live_signals_daily.py)
7:15 - The 'Arm': Connecting to the Interactive Brokers API (interactive_brokers_execution.py)
10:00 - Automation 101: How Cron Jobs Run Our Server
12:45 - The Conductor & Our Daily Dashboard (run_daily_trades.py)
14:30 - Final Thoughts & What's Next

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