
Series 1 -eBook 14: LunarCrush API for Social Sentiment Analysis
Crypto Sentiment Intelligence with LunarCrush API
(Series 1 - eBook 14)
Master the Data Behind the Hype.
Ever wonder why a coin suddenly pumps—or dumps—before the news even breaks? This in-depth guide shows you how to track, visualize, and analyze social sentiment data using the LunarCrush API, transforming community hype into actionable signals.
This isn't just theory—this is practical, real-world Python scripting for crypto sentiment analysis, complete with filtering, visualization, alert logic, and strategic enhancements. From Galaxy Scores to detecting meme coin momentum, we take you deep into the social data layer of the crypto markets.
What You’ll Learn:
✔ How to fetch Bitcoin sentiment data using the LunarCrush API
✔ How to parse, visualize, and filter Galaxy Score & AltRank metrics
✔ How to apply high-engagement filters to isolate true social momentum
✔ How to correlate sentiment spikes with price movements
✔ How to identify early trends, bot activity, and platform-specific buzz
✔ How to build dashboards and alerts for real-time trading insights
Who This Is For:
✔ Traders & Crypto Analysts looking for edge beyond price charts
✔ Python Devs & Quant Builders integrating social sentiment into scripts or bots
✔ Community Managers tracking how hype affects their project
✔ Crypto Influencers & Content Creators curious about the impact of their posts
✔ Data Scientists combining social + price + on-chain metrics
What Makes This Guide Unique:
🔍 Real-world examples of Galaxy Score, AltRank, and social metrics
📊 Charts and visualizations with Python (Matplotlib + Pandas)
🔁 Filtering logic to highlight the most engaged social moments
💬 Tips for combining Whale Alert + LunarCrush for high-confidence signals
📈 Sentiment-to-Price correlation techniques and machine learning expansion ideas
🧠 Bonus: How to build a Sentiment Heatmap, Track Meme Coin Volatility, and more
🔐 Built for Security & Scale:
✔ Uses .env best practices to protect your API key
✔ Discusses rate limits, retries, and caching
✔ Offers maintenance and validation strategies for long-term use
📈 Use Cases Covered:
🔔 Real-time alerts when Galaxy Score spikes above 70
📊 Comparing sentiment across BTC, ETH, DOGE, and more
📉 Spotting negative sentiment ahead of price drops
📚 Running long-term backtests on social sentiment trends
🧪 Using engagement-to-mention ratios to detect bots or hype cycles
⚡ Feeding signals into bots or dashboards to act on social momentum
🎯 Don’t just watch the market—feel its pulse.
With this guide, you’re not guessing what the community is thinking. You’re seeing it in the data, in real time.
📥 Download now and start transforming social noise into strategy.