# Futures Intercommodity Spread Strategy MCP for AI Agents AI Agent Connect

> Futures Intercommodity Spread Strategy MCP provides deterministic, ratio-based trading signals for commodity spreads. It calculates z-scores, mean reversion characteristics, and spread ratios to identify high-probability buy and sell opportunities based on statistical deviations and fundamental drivers.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_1sySxwQamlnD5dizUqNV0wVvn1Q3sijHJIETtfGt/ai-agent-connect
- **Tags:** futures, spread, commodities, quantitative, mean-reversion

## Description

Trading commodity spreads usually means staring at spreadsheets and manually calculating ratios to see if a pair is overextended. This MCP changes that by bringing deterministic statistical modeling directly into your AI agent's workflow. Instead of guessing if the spread between Gold and Silver or Crude Oil and Natural Gas is wide enough to trade, you can ask your agent to run the numbers for you. It looks at the relationship between two assets, finds the spread ratio, and checks the z-score to see how far the current price has drifted from the mean. It even factors in liquidity and correlation to make sure you aren't chasing a trade that's too risky or disconnected. By connecting this to your preferred AI client through the Vinkius catalog, you turn a conversational interface into a quantitative trading desk that can identify mean reversion opportunities in seconds. You get clear signals based on historical half-lives and statistical deviations, allowing you to focus on execution rather than manual math.

## Tools

### get_daily_spread_signals
Generates buy and sell signals for commodity spreads based on statistical deviations. It uses z-scores and fundamental drivers to pinpoint entry points.

### get_spread_statistics
Retrieves historical context for a commodity pair. It provides essential data like min/max ratios and mean reversion half-life.

## Prompt Examples

**Prompt:** 
```
What's the current signal for a Gold and Silver spread if the ratio is 80 and the z-score is -2.5?
```

**Response:** 
```
Based on those parameters, the signal is **BUY**.

* **Action**: Long Gold / Short Silver
* **Reasoning**: The z-score of -2.5 indicates a significant statistical deviation, suggesting the spread is oversold and due for mean reversion.
```

**Prompt:** 
```
Can you give me the historical stats for the Copper and Gold spread?
```

**Response:** 
```
Here are the historical statistics for the Copper/Gold spread:

| Metric | Value |
| :--- | :--- |
| **Min Ratio** | 0.0021 |
| **Max Ratio** | 0.0023 |
| **Half-Life** | 12.5 days |

This suggests the spread typically reverts to the mean every 12.5 days.
```

**Prompt:** 
```
Check if there is a signal for Crude Oil and Natural Gas with a 0.4 correlation.
```

**Response:** 
```
There is **NO SIGNAL** available.

The correlation coefficient of 0.4 is below the required 0.6 threshold for a valid trade signal. The assets are not moving closely enough together to support a reliable spread strategy.
```

## Capabilities

### Identify mean reversion opportunities
Find specific buy and sell signals when commodity spreads deviate significantly from their historical averages.

### Calculate spread ratios and z-scores
Get precise mathematical measurements of how stretched a relationship between two commodities has become.

### Analyze historical spread behavior
Access historical minimums, maximums, and mean reversion half-lives to understand how a pair typically behaves.

### Filter trades by correlation and liquidity
Ensure trading signals are statistically sound by checking if the assets are actually moving together.

## Use Cases

### Spotting Gold/Silver divergence
A trader notices Gold and Silver moving apart and asks their agent to check the z-score to see if the spread is at a historical extreme.

### Validating Energy spreads
An analyst wants to trade Crude Oil against Natural Gas but needs to confirm the correlation is high enough to justify the trade.

### Timing mean reversion
A quant uses the half-life data to estimate how long a Copper/Gold spread might take to return to its mean before entering a position.

### Filtering low-quality signals
An automated workflow uses the built-in liquidity filters to ignore spread signals that don't meet minimum volume requirements.

## Benefits

- Stop manual math by using get_daily_spread_signals to get instant buy and sell directions.
- Reduce risk by checking correlation filters to ensure your commodity pairs are actually linked.
- Understand trade duration by using get_spread_statistics to find the mean reversion half-life.
- Avoid bad entries by relying on z-scores rather than gut feeling to judge spread width.
- Speed up research by asking your agent for historical min and max ratios in seconds.

## How It Works

The bottom line is you turn natural language questions into precise, quantitative commodity spread signals.

1. Connect your AI client to the MCP via the Vinkius platform.
2. Ask your agent to analyze a specific commodity pair or request spread statistics.
3. Receive actionable buy or sell signals based on real-time statistical deviations.

## Frequently Asked Questions

**How can I use the Futures Intercommodity Spread Strategy MCP for my trading?**
You can use it to identify specific buy and sell opportunities in commodity spreads. By asking your AI agent for signals, you get immediate statistical insights like z-scores and ratios.

**Does the Futures Intercommodity Spread Strategy MCP provide real-time signals?**
Yes, it provides daily spread signals that account for current price deviations and fundamental drivers, helping you catch mean reversion moves as they happen.

**Can I check historical data with the Futures Intercommodity Spread Strategy MCP?**
Absolutely. You can request historical statistics for any commodity pair to see past minimum/maximum ratios and the time it takes for the spread to revert to the mean.

**Will the Futures Intercommodity Spread Strategy MCP work with my existing AI tools?**
Yes, once connected via Vinkius, you can use this MCP with any compatible client like Claude, Cursor, or Windsurf to run your commodity analysis.

**How does the Futures Intercommodity Spread Strategy MCP handle risky trades?**
The MCP includes built-in filters for correlation and liquidity. If a commodity pair isn't moving in sync or lacks enough volume, the agent won't issue a signal.