# Metal Price Forecast Model AI Agent Connect

> Generates metal price trajectories and economic scenario probabilities.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_faWFGXua719ZJSiefP5k6ZVWFRnFpVG9Xb9jNj9S/ai-agent-connect
- **Tags:** metals, commodities, forecasting, economics, price-prediction

## Description

This MCP server provides advanced economic modeling for commodity markets. It allows AI agents to estimate future price paths using `get_price_trajectory`, assess market pressure via `analyze_fundamental_impact`, and determine the likelihood of economic shifts with `calculate_scenario_probabilities`. Additionally, users can measure market uncertainty through `evaluate_volatility_risk` to refine their financial analysis.

## Tools

### analyze_fundamental_impact
Evaluates how current supply and demand imbalances will influence future pricing

### calculate_scenario_probabilities
Determines the likelihood of different economic scenarios occurring

### evaluate_volatility_risk
Measures the uncertainty and potential price swings for a metal

### get_price_trajectory
Estimates the future path of a specific metal's price

## Prompt Examples

**Prompt:** 
```
What is the expected price trajectory for GOLD over the next 12 months?
```

**Response:** 
```
The projected price for GOLD over the next 12 months shows a steady upward trend, starting at $2,300 and reaching approximately $2,450 by month 12, with a confidence interval of +/- $50.
```

**Prompt:** 
```
How will a supply deficit in COPPER affect its price?
```

**Response:** 
```
A supply deficit in COPPER will exert upward price pressure, as the demand exceeds the available supply, increasing the likelihood of a bullish price movement.
```

**Prompt:** 
```
What are the probabilities for different economic scenarios given an inflation rate of 3% and an interest rate of 5%?
```

**Response:** 
```
Based on the provided indicators, the probability for a 'Neutral' scenario is 60%, a 'Bearish' scenario is 25%, and a 'Bullish' scenario is 15%.
```

## Frequently Asked Questions

**How accurate are the price forecasts?**
Forecasts are based on historical data, supply/demand fundamentals, and macroeconomic factors. Using `get_price_trajectory` provides a projected path with associated confidence intervals to represent uncertainty.

**Can I model different economic scenarios?**
Yes, you can use `calculate_scenario_probabilities` to determine the likelihood of various economic states by inputting inflation, interest rates, and currency strength.

**How does the model handle market volatility?**
The model uses `evaluate_volatility_risk` to calculate a volatility index based on historical price changes, which helps in determining appropriate confidence intervals.