How to Spot NFT Trends Using On-Chain Data | Next.js Guide

**Enhanced Prompt: "How to Spot NFT Trends Using On-Chain Data: A Comprehensive Guide"

Objective: To identify emerging trends in the NFT market by analyzing on-chain data, enabling informed decision-making for artists, investors, and marketplaces.

Deliverables:

• Insight into the most successful artists and NFTs.
• Identification of ascending (unASC) and descending (ASC) trends for arbitrage opportunities.
• Recommendations for leveraging these trends to optimize strategies.

Tools and Technologies:

• Blockchain Data APIs: Ethers.js, Glassnode for transaction and contract data.
• Data Analysis: Python, Pandas, NumPy for data manipulation.
• Visualization: Plotly for interactive dashboards.
• Database Solutions: AWS or Google Cloud for scalable storage and processing.

Data Collection and Analysis:

• On-Chain Metrics: Transaction counts, wallet activities, NFT frequencies, seller revenue.
• Sentiment Analysis: Bid/ask trends to gauge investor interest.
• Data Visualization: Heatmap