Trump-o-meter: Extract and Evaluate Truth Social Posts
Use Case
Automatically extracting posts from Donald Trump's Truth Social account and estimating their potential impact on the U.S. stock market enables teams to monitor high-profile communications that may influence financial markets. This automation streamlines intelligence gathering for analysts, traders, and policy observers.
What This Automation Does
This automation retrieves up to 3 posts from Donald Trump's Truth Social profile and outputs structured information including:
How It Works
- Creates a browser session on Truth Social using an Airtop profile.
- Navigates to
https://truthsocial.com/@realDonaldTrump
.
- Uses a natural language prompt with a defined JSON schema to extract structured data for up to 3 posts.
- Splits the results into individual post items.
- Filters posts that contain actual content and have a non-zero estimated market impact.
- Sends selected posts and impact summaries to a Slack channel.
- Terminates the browser session to clean up.
Setup Requirements
- Airtop API Key — free to generate.
- An Airtop Profile that is connected and logged into Truth Social.
- A Slack workspace and authorized app with write permissions to a target channel.
Next Steps
- Integrate with Trading Signals: Link output to financial alert systems or dashboards for timely insights.
- Expand Monitoring: Extend to other high-impact accounts (e.g., politicians, CEOs).
- Enhance Analysis: Add sentiment scoring or topic classification for deeper context.
Legal Disclaimer
This tool is intended solely for informational and analytical purposes. The market impact estimations provided are speculative and should not be construed as financial advice. Do not make investment decisions based on this automation. Always consult with a licensed financial advisor before making any trades.
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