MCP For Claude Marketplace
Sentiment vs Fundamental Divergence

Sentiment vs Fundamental Divergence MCP Connector for Claude

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Identify arbitrage opportunities by detecting divergences between social hype and on-chain utility.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides deterministic trading signals by analyzing the statistical divergence between social media sentiment and on-chain fundamental metrics. By calculating Z-scores for both social volume and fundamental activity, it identifies 'Speculative Bubbles' (high hype, low utility) and 'Accumulation' phases (low hype, high utility). Use calculate_divergence_signal to generate BUY or SELL signals, validate_stop_loss to manage risk with a 15% threshold, and get_historical_performance to backtest the strategy against historical datasets.

arbitragez-scoresentimentfundamentalsprediction-markets

3 tools expose this connector's capabilities to your AI agent.

get_historical_performance

Backtests the divergence strategy against historical data

calculate_divergence_signal

Evaluates current market conditions to determine if a BUY or SELL signal is generated

validate_stop_loss

Checks if a current position has reached the maximum allowable risk threshold

See how to talk to your AI agent using Sentiment vs Fundamental Divergence.

Analyze the current divergence for a crypto asset with a market price of 0.5, social volume of 100, fundamental metric of 50, and historical data provided.

The current signal is SELL because the social Z-score is 2.5 (high hype) while the fundamental Z-score is -0.5 (declining utility).

Check if my BUY position at 0.8 is still valid if the current price is 0.68.

The stop-loss has been triggered. The price movement is 15% below your entry price.

What is the historical win rate for this strategy using the provided dataset?

The strategy has a historical win rate of 62% across 145 total signals generated.

Signals are generated using `calculate_divergence_signal`, which compares the Z-score of social volume against the Z-score of fundamental metrics to find extreme divergences.

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