NFT Floor Price Strategy

NFT Floor Price Strategy MCP Connector for Claude

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Deterministic mean-reversion strategy for NFT floor prices.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic mean-reversion analysis for NFT collections. It uses statistical Z-scores and volume pressure to identify oversold or overbought conditions. Use analyze_floor_strategy to generate BUY/SELL signals, calculate_market_health to detect wash trading and holder concentration, and get_reversion_target to find the 30-day moving average price target.

nftethereumtradingstatisticsmean-reversion

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

get_reversion_target

Calculates the mathematical price target for a mean-reversion trade

analyze_floor_strategy

Generates a deterministic trade signal (BUY, SELL, or HOLD) based on price, volume, and safety filters

calculate_market_health

Analyzes the risk profile of a collection regarding concentration and artificial activity

See how to talk to your AI agent using NFT Floor Price Strategy.

Analyze the floor price strategy for this collection with these prices: [1.2, 1.1, 1.3, 1.0, 0.9], volumes: [10, 12, 11, 25, 22], holders: 6000, top10: 500, range: {"min": 0.5, "max": 2.0}

{"signal": "BUY", "floorPrice": 0.9, "zScore": -1.8, "targetPrice": 1.1, "holderCount": 6000, "volume": 22, "isWashTrading": false, "isRugRisk": false}

Check the market health for a collection with 10000 holders, 1000 in top 10, and recent volumes of [5, 5, 5, 5, 5] with 10 unique wallets.

{"holderConcentration": 0.1, "isWashTrading": true, "meanReversionHalfLife": 4.5}

What is the target price for a floor at 1.5 ETH with a 30-day mean of 1.2 ETH?

{"targetPrice": 1.2}

A BUY signal is triggered when the floor price Z-score is below -2.0 and trading volume is at least 1.5x the 30-day average.

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