Does it require private API keys to function?

Yes, you must provide your own API keys for crypto data providers and RPC endpoints, which are stored securely in your local environment variables.

How does it handle market volatility?

The skill includes specific risk metric modules that calculate Value at Risk (VaR), beta to market, and historical drawdown to help users understand potential downside.

Can this skill execute trades automatically?

While the skill can generate signals and access exchange APIs for data, it is primarily designed for analysis and reporting. Automated trading would require additional custom implementation and safety protocols.

What data sources does this skill support?

The skill supports major crypto data providers like CoinGecko and CoinMarketCap, blockchain RPC endpoints via Infura or Alchemy, and on-chain data from Etherscan and Dune Analytics.

Crypto Market Sentiment Analyzer

Name: Crypto Market Sentiment Analyzer
Author: BbgnsurfTech

byBbgnsurfTech

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Ciencia de Datos y ML

Analyzes cryptocurrency market sentiment, social trends, and on-chain data to generate actionable trading insights and risk assessments.

Acerca de

The Market Sentiment Analyzer is a specialized Claude Code skill designed to bridge the gap between real-time blockchain data and qualitative sentiment analysis. It empowers users to monitor social media trends, news cycles, and critical on-chain metrics such as transaction counts and whale movements. By integrating with major crypto APIs and RPC endpoints, the skill automates the collection of market data, performs technical analysis using indicators like RSI and MACD, and generates comprehensive reports that include risk metrics, liquidity estimates, and potential trading signals.

Características Principales

Real-time market data aggregation from CoinGecko, CoinMarketCap, and exchanges
On-chain metric tracking including active addresses, TVL, and network activity
Automated risk assessment reports featuring Value at Risk (VaR) and volatility metrics
Social sentiment and news trend analysis for market mood gauging
Technical analysis indicators including SMA, EMA, RSI, and Bollinger Bands
3 GitHub stars

Casos de Uso

Conducting deep-dive technical and on-chain audits for specific crypto assets
Generating automated daily market summary reports for trading strategy refinement
Identifying market shifts based on social media hype and news sentiment trends

Acerca de

Características Principales

Real-time market data aggregation from CoinGecko, CoinMarketCap, and exchanges
On-chain metric tracking including active addresses, TVL, and network activity
Automated risk assessment reports featuring Value at Risk (VaR) and volatility metrics
Social sentiment and news trend analysis for market mood gauging
Technical analysis indicators including SMA, EMA, RSI, and Bollinger Bands
3 GitHub stars

Casos de Uso

Conducting deep-dive technical and on-chain audits for specific crypto assets
Generating automated daily market summary reports for trading strategy refinement
Identifying market shifts based on social media hype and news sentiment trends