# Seasonal Strategy Engine AI Agent Connect

> Generate deterministic trading signals by synchronizing historical seasonal patterns with trend filters.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_NtaQja2kwdScEswam7Z0j3lh4oM5SIBOlFxrv9bI/ai-agent-connect
- **Tags:** seasonal, trading, signals, finance, technical-analysis

## Description

This MCP server provides a deterministic trading signal engine that synchronizes historical seasonal market patterns with moving average trend filters. It allows AI agents to identify high-probability entry and exit points by combining seasonal windows with technical trend confirmation. Using `get_seasonal_signals`, agents can determine if a specific date warrants a BUY, SELL, or HOLD signal. The engine also provides deep analytical insights via `get_seasonal_metrics` to evaluate historical win rates and confidence levels, and `get_pattern_windows` to retrieve exact date boundaries for recurring market cycles.

## Tools

### get_pattern_windows
Retrieves the exact date boundaries for all available seasonal patterns

### get_seasonal_metrics
Provides deep analytical insight into the quality and strength of a specific seasonal pattern

### get_seasonal_signals
Generates actionable trading signals for a specific date based on seasonal patterns and trend filters

## Prompt Examples

**Prompt:** 
```
Generate a trading signal for today's date using the provided close prices and seasonal patterns.
```

**Response:** 
```
BUY. Entry Date: 2024-12-15. Expected Exit: 2025-01-03. Stop-Loss: 4250.00. Take-Profit: 4450.00. Days remaining in window: 18.
```

**Prompt:** 
```
What are the date boundaries for the Santa Claus Rally?
```

**Response:** 
```
The Santa Claus Rally window starts on December 15th and ends on January 3rd, and it is historically bullish.
```

**Prompt:** 
```
Check the historical performance metrics for the 'Sell in May' pattern.
```

**Response:** 
```
The 'Sell in May' pattern has a win rate of 68% and an average return of -2.5% during this period.
```

## Frequently Asked Questions

**How are trading signals generated?**
Signals are generated by checking if a date falls within a bullish seasonal window and confirming that the price is above the 200-day moving average for a BUY signal.

**What is the win rate filter?**
The engine only issues actionable signals if the seasonal pattern has a historical win rate greater than 65% over a 20-year sample.

**Can I see the historical strength of a pattern?**
Yes, you can use `get_seasonal_metrics` to retrieve the win rate, average return, and confidence level for any specific seasonal pattern.