# Fisher Transform Strategy AI Agent Connect

> A deterministic mean-reversion strategy using Fisher Transform to identify market exhaustion.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_yuU6TGnuTLAJGnqRAtHISe54TV1CDkE5vItD32y2/ai-agent-connect
- **Tags:** mean-reversion, fisher-transform, momentum, algorithmic-trading, quantitative

## Description

This MCP server provides tools to execute a deterministic mean-reversion trading strategy. It uses the Fisher Transform to convert price distributions into a Gaussian shape, making extreme market exhaustion visible. Users can use `calculate_fisher_indicators` to compute momentum metrics, `generate_trading_signals` to identify BUY and SELL reversals after sustained extreme zones, and `get_strategy_summary` to evaluate performance metrics like win rate and drawdown.

## Tools

### calculate_fisher_indicators
Compute core Fisher Transform values and metrics

### generate_trading_signals
Evaluate indicators to determine BUY, SELL, or HOLD signals

### get_strategy_summary
Provide a statistical overview of strategy performance

## Prompt Examples

**Prompt:** 
```
Calculate the Fisher Transform indicators for these price arrays.
```

**Response:** 
```
The Fisher Transform values have been calculated, including strength, extreme duration, and trigger distance for the provided price series.
```

**Prompt:** 
```
Generate trading signals based on the provided Fisher indicators.
```

**Response:** 
```
The strategy generated a BUY signal at price 150.25 with a stop-loss at 147.25 and a take-profit at 155.00.
```

**Prompt:** 
```
Show me the performance summary for the last 50 trades.
```

**Response:** 
```
The strategy achieved a win rate of 58% with a total profit factor of 1.45 and a maximum drawdown of 4.2%.
```

## Frequently Asked Questions

**What is the core logic of this strategy?**
The strategy identifies extreme market exhaustion using the Fisher Transform. It triggers a BUY signal when the Fisher value crosses above the trigger line after being in a sustained oversold state, and a SELL signal when it crosses below after a sustained overbought state.

**How are stop-loss and take-profit levels determined?**
Stop-loss is set at the most recent swing extreme or a 2% deviation from entry. Take-profit occurs when the Fisher value returns to the trigger line (zero) or reaches the opposite extreme threshold.

**Which AI clients can use this MCP?**
This MCP can be used with Cursor, VS Code, Claude Desktop, Windsurf, and any other MCP-compatible client via Vinkius Edge.