Economic Sentiment Analysis → Dashboard → Investment Alerts
Analyze market sentiment from news articles and social media, create real-time dashboards, and trigger investment alerts based on bubble indicators.
Workflow Steps
Apify
Scrape AI market sentiment data
Use Apify's web scraper to collect articles from financial news sites (TechCrunch, Bloomberg, WSJ) containing 'AI bubble', 'artificial intelligence investment', 'AI spending'. Set to run every 2 hours.
MonkeyLearn
Perform sentiment analysis
Send scraped article headlines and summaries through MonkeyLearn's sentiment analysis API. Get sentiment scores (-1 to +1) and confidence levels for each piece of content.
Airtable
Store and categorize sentiment data
Create an Airtable base with fields for date, source, headline, sentiment score, confidence, and bubble indicators. Use formulas to calculate daily sentiment averages and trend indicators.
Zapier
Monitor sentiment thresholds
Set up Zapier to monitor your Airtable base. When average daily sentiment drops below -0.5 or 'bubble' mentions increase by 50%, trigger an alert workflow.
Discord
Send investment team alerts
Post alerts to a private Discord server with sentiment charts, key articles, and risk level. Include @everyone tag for urgent bubble indicators and suggested portfolio actions.
Workflow Flow
Step 1
Apify
Scrape AI market sentiment data
Step 2
MonkeyLearn
Perform sentiment analysis
Step 3
Airtable
Store and categorize sentiment data
Step 4
Zapier
Monitor sentiment thresholds
Step 5
Discord
Send investment team alerts
Why This Works
Combines multiple data sources with sentiment analysis to create an objective bubble detection system, removing emotional bias from investment decisions.
Best For
Investment firms and traders monitoring AI market bubble risks
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