Futures Seasonality Strategy

Futures Seasonality Strategy MCP Connector for Claude

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Identify commodity trading signals by combining historical seasonal returns with price trends.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deterministic trading signals for commodity markets. It identifies high-probability entry and exit points by analyzing historical seasonal patterns and aligning them with current price momentum. Use calculate_seasonal_signal to get specific BUY, SELL, or HOLD actions based on seasonal scores and moving averages. Use get_seasonal_metrics to evaluate the reliability and strength of a seasonal window, or get_commodity_seasonal_patterns to retrieve raw historical data for commodities like natural gas, corn, or wheat.

futuresseasonalitycommoditiestrading-signalsquantitative-analysis

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

calculate_seasonal_signal

Determines the specific trading action (BUY, SELL, or HOLD) for a given commodity and date

get_commodity_seasonal_patterns

Retrieves the raw historical seasonal data for a specific commodity

get_seasonal_metrics

Analyzes the quality and depth of a seasonal pattern for a specific commodity

See how to talk to your AI agent using Futures Seasonality Strategy.

Should I buy natural gas today based on seasonal trends?

The current signal for natural gas is BUY. The seasonal score is 2.1% and the price is currently above the 20-day moving average, with a historical win rate of 72%.

What is the seasonal strength for corn in June?

For corn in June, the seasonal strength is 2.5%, and the seasonal win rate is 68%.

Give me the seasonal patterns for wheat.

The historical seasonal patterns for wheat show a positive return trend during the spring planting months and a negative trend during the late autumn harvest period.

A BUY signal is triggered when the `seasonalScore` is greater than 1.5% and the current price is above its 20-day moving average, provided the seasonal win rate is above 65%.

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