LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

LunarCrush API for Social Sentiment Analysis

Understanding social sentiment can give developers and analysts an edge in decentralized markets. In LunarCrush API for Social Sentiment Analysis, Steven Paul provides a hands‑on guide to accessing, parsing, and visualizing social data from the LunarCrush API: 

• Authenticate and query LunarCrush endpoints for real‑time social metrics (engagement, sentiment scores).
• Integrate social data with price and on‑chain feeds for correlation studies.
• Build dashboards and alerts based on social spikes using Python and JavaScript.

Packed with code samples, API request templates, and visualization exercises, this workbook empowers blockchain developers, data scientists, and product managers to harness social intelligence in their applications.

1147422401
LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

LunarCrush API for Social Sentiment Analysis

Understanding social sentiment can give developers and analysts an edge in decentralized markets. In LunarCrush API for Social Sentiment Analysis, Steven Paul provides a hands‑on guide to accessing, parsing, and visualizing social data from the LunarCrush API: 

• Authenticate and query LunarCrush endpoints for real‑time social metrics (engagement, sentiment scores).
• Integrate social data with price and on‑chain feeds for correlation studies.
• Build dashboards and alerts based on social spikes using Python and JavaScript.

Packed with code samples, API request templates, and visualization exercises, this workbook empowers blockchain developers, data scientists, and product managers to harness social intelligence in their applications.

4.95 In Stock
LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

by Adaptive Publishing Group
LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

LunarCrush API for Social Sentiment Analysis (Crypto-Series-1, #14)

by Adaptive Publishing Group

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Overview

LunarCrush API for Social Sentiment Analysis

Understanding social sentiment can give developers and analysts an edge in decentralized markets. In LunarCrush API for Social Sentiment Analysis, Steven Paul provides a hands‑on guide to accessing, parsing, and visualizing social data from the LunarCrush API: 

• Authenticate and query LunarCrush endpoints for real‑time social metrics (engagement, sentiment scores).
• Integrate social data with price and on‑chain feeds for correlation studies.
• Build dashboards and alerts based on social spikes using Python and JavaScript.

Packed with code samples, API request templates, and visualization exercises, this workbook empowers blockchain developers, data scientists, and product managers to harness social intelligence in their applications.


Product Details

BN ID: 2940181909403
Publisher: Crypto Formula Foundation
Publication date: 05/05/2025
Series: Crypto-Series-1
Sold by: Draft2Digital
Format: eBook
File size: 368 KB

About the Author


Steven Nohr

Technology Strategist | Innovator | Patent Holder

 

Steven Nohr is a technology strategist, product architect, and intellectual property developer with over 25 years of experience spanning global markets, emerging platforms, and disruptive systems design.

 

He holds multiple patents across critical innovation zones — including adaptive computing, immersive hardware, modular image editing systems, decentralized infrastructure, wearable tech, and smart airport systems. In 2002, he patented the world's first decentralized peer-to-peer network (US_7802724_B1), nearly a decade before Satoshi Nakamoto's Bitcoin white paper.

 

Since 2016, Steven has been deeply engaged in blockchain architecture, DeFi systems, and Web3 infrastructure — including predictive automation tools, API-based market analysis, and NFT signal detection. He is the Co-Founder of Crypto Formula Foundation, a next-gen educational series delivering crypto intelligence through structured eBooks and data-driven video courses.

 

He also leads Adaptive Publishing Group, distributing future-focused content globally — bridging real-world systems with accessible knowledge, many of which are tied to patents.

 

A former Regional Strategy Director and Senior Product Lead, Steven has launched innovation programs across Asia-Pacific and North America, with deep expertise in edge computing, AI modeling, decentralized infrastructure, and synthetic computing design. His primary motivation is legacy — building tools and knowledge systems to empower tomorrow's minds, starting with his own son.

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