In this tutorial, we dive into automating your Twitter feed by leveraging OpenAI's Chat GPT, Python, and the Tweepy module. The bot is designed to generate tweets from a list of quantitative Python ideas using a specialized OpenAI prompt template. All of this is set up in a Jupyter Notebook environment for easy testing and modification. Tweets are then scheduled to be posted every 12 hours using Python's 'apscheduler' module. The entire operation runs as an OS service, allowing you to manage your Twitter bot directly from the command line of your remote server.

We also share our roadmap for future enhancements, including a specialized QuantPy Main Twitter Feed dedicated to Quantitative Finance. Tweets will be automatically generated using OpenAI's Chat GPT and scheduled via a Raspberry Pi headless server. The tutorial also offers a glimpse into how you can access logs generated by the Twitter bot for performance analytics. Watch on to learn how to automate your social media activities effectively.

GitHub Repo: https://github.com/TheQuantPy/quantpy...
OpenAI Account & API: https://platform.openai.com/account/a...
Twitter (X) Dev Account & API: https://developer.twitter.com

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