Options Gamma Scalping Strategy

Options Gamma Scalping Strategy MCP Connector for Claude

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Simulate delta-neutral gamma scalping with automated hedging and cost analysis.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a deterministic modeling engine for delta-neutral gamma scalping. It allows AI agents to simulate the P&L dynamics of long convexity positions by managing directional risk through automated delta hedging. Use simulate_scalping_strategy to run full time-series simulations, analyze_gamma_exposure to inspect real-time Greek exposures, and calculate_breakeven_metrics to determine the volatility required for profitability. It is designed to model the relationship between gamma gains, theta decay, and transaction costs.

optionsgammadelta-neutralhedgingquantitative-finance

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

analyze_gamma_exposure

Provides a snapshot of Greek exposures and delta-neutrality status

calculate_breakeven_metrics

Determines the theoretical volatility threshold required for profitability

simulate_scalping_strategy

Executes a deterministic simulation of a gamma scalping strategy

See how to talk to your AI agent using Options Gamma Scalping Strategy.

Run a gamma scalping simulation with these underlying prices [100, 102, 101, 105] and this option chain data.

The simulation completed. The net P&L was $12.50, with a breakeven volatility of 18.5%.

What is the current delta exposure for a portfolio with 10 call options at 0.5 delta and 5 units of the underlying?

The total delta is 10.0 (5.0 from options + 5.0 from underlying).

Calculate the breakeven volatility if I have 50 gamma exposure, 10 theta decay, and 5 transaction costs.

The required realized volatility to break even is 30%.

It provides tools to simulate and analyze gamma scalping strategies, specifically focusing on delta-neutral hedging and the impact of volatility on P&L.

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