Momentum Reversal Strategy

Momentum Reversal Strategy MCP Connector for Claude

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A deterministic contrarian strategy to identify beaten-down assets and overextended momentum.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized tools for executing a deterministic momentum reversal strategy. It identifies deep value opportunities by detecting assets with significant negative momentum that pass strict quality filters, and identifies overextended assets for selling. Use analyze_momentum_signals to generate buy, sell, or hold signals based on price history and fundamental metrics. You can also use calculate_reversal_probability to assess historical success rates and get_position_allocation to distribute capital equally across active signals.

momentumcontrarianquantitativetrading-strategyfinance

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

get_position_allocation

Calculates the capital distribution for a set of active signals

calculate_reversal_probability

Determines the historical success rate of the reversal strategy

analyze_momentum_signals

Calculates momentum returns and generates specific buy, sell, or hold signals

See how to talk to your AI agent using Momentum Reversal Strategy.

Analyze these prices for momentum signals: [100, 95, 90, 85, 80, 75] with debt-to-equity of 0.5, positive earnings, and no bankruptcy risk.

The analysis generated a BUY signal at a price of 75.00 with a stop-loss at 60.00 and a take-profit at 112.50.

What is the historical probability of recovery for a -20% momentum drop over a 12-month window?

The historical probability of a successful reversal is 35% based on the provided dataset.

How should I allocate $10,000 across these three active signals?

Each of the three signals will receive an allocation of $3,333.33.

You can use the `analyze_momentum_signals` tool by providing the price history and quality metrics to receive specific buy, sell, or hold signals.

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