# Detrended Price Oscillator MCP for AI Agents AI Agent Connect

> Detrended Price Oscillator (DPO) Calculator MCP helps you strip away long-term price trends to see the actual cycles and momentum in market data. It identifies zero-line crossings, detects volatility-based momentum extremes, and measures the duration between price peaks and troughs to reveal the underlying rhythm of price movement.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_gawehGLRWJwJxW8Hk2aN4Rmv38OKtuHB8SAHjhin/ai-agent-connect
- **Tags:** trading, oscillators, price-cycles, momentum, indicators

## Description

Trading is often a battle against noise. When you look at a price chart, the massive upward or downward trends can hide the actual rhythmic cycles that matter for timing entries and exits. This MCP changes that by providing a deterministic engine that strips those trends away, leaving you with a clean view of price oscillations. Instead of squinting at a trending chart and guessing when a cycle has turned, you can get precise data on momentum shifts and cycle durations. You can use your AI client to generate raw oscillator values, spot when momentum crosses the zero line, or measure the exact distance between price peaks. It's like having a specialized quantitative analyst sitting inside your chat interface, ready to process price series and hand you the signal data. By connecting this to your workflow through the Vinkius catalog, you turn your agent from a simple text generator into a technical analysis powerhouse that understands the cyclical nature of market movement.

## Tools

### analyze_dpo_signals
Finds zero-line crossings and momentum extremes in your oscillator data. It helps you spot turning points in market momentum.

### calculate_dpo_series
Computes the raw Detrended Price Oscillator values for any price series. This provides the foundation for all your cyclical analysis.

### identify_price_cycles
Measures the distance between price peaks and troughs. It reveals the dominant cycle lengths within your price data.

## Prompt Examples

**Prompt:** 
```
Can you calculate the DPO for these closing prices: [150, 152, 151, 153, 155, 154, 156] using a period of 5?
```

**Response:** 
```
The DPO values for your price series are:

| Index | Price | DPO Value |
| :--- | :--- | :--- |
| 1 | 150 | 1.2 |
| 2 | 152 | 0.8 |
| 3 | 151 | -0.5 |
| 4 | 153 | 2.1 |
| 5 | 155 | 1.4 |

*Note: Values are calculated based on a 5-period detrending.*
```

**Prompt:** 
```
Check these DPO values for any important momentum signals: [0.5, 1.2, -0.3, -1.5, 0.2].
```

**Response:** 
```
I've analyzed your DPO data. Here are the signals detected:

* **Zero-Line Crossing:** A crossing occurred at the third value (-0.3), indicating a shift in momentum.
* **Momentum Extreme:** The fourth value (-1.5) represents a significant downward momentum extreme.
```

**Prompt:** 
```
How long are the price cycles in this data: [2.0, 1.5, 0.0, -1.5, -2.0, -1.0, 0.5, 2.5]?
```

**Response:** 
```
Based on the data provided, the dominant price cycle has a duration of **4 bars** between the primary peak and the subsequent trough.
```

## Capabilities

### Strip trends from price data
Removes long-term price direction to reveal the underlying cyclical patterns.

### Detect momentum shifts
Identifies when the oscillator crosses the zero line or hits volatility extremes.

### Measure cycle duration
Calculates the time between local price peaks and troughs to find dominant cycles.

### Generate oscillator series
Produces a clean stream of raw DPO values from any provided price list.

## Use Cases

### Filtering out bull market noise
A trader wants to see if a stock is overextended during a massive rally. They ask their agent to run calculate_dpo_series to see if the underlying momentum is actually fading despite the rising price.

### Timing cyclical entries
An analyst needs to know when a commodity cycle is bottoming out. They use identify_price_cycles to find the recurring duration between price troughs to time their buy orders.

### Detecting momentum reversals
A developer building a bot needs to know when a trend is losing steam. They use analyze_dpo_signals to catch the exact moment the oscillator crosses the zero line.

### Validating breakout strength
When a price breaks out, a user asks their agent to check the DPO values to ensure the move isn't just a temporary oscillation within a larger trend.

## Benefits

- Remove trend noise using calculate_dpo_series to see the real market rhythm.
- Spot momentum reversals quickly with analyze_dpo_signals zero-line detection.
- Quantify market timing by using identify_price_cycles to find peak-to-trough durations.
- Automate technical analysis by letting your agent process raw price lists instantly.
- Identify volatility extremes through momentum-based signal analysis.

## How It Works

The bottom line is you get clean, trend-free momentum signals directly from raw price data.

1. Provide a list of price data or a price series to your AI client.
2. The MCP processes the data to remove the trend component based on your chosen period.
3. You receive structured data containing oscillator values, signal crossings, or cycle lengths.

## Frequently Asked Questions

**How can I use the Detrended Price Oscillator MCP to find market reversals?**
You can use the momentum signal detection to identify when the oscillator crosses the zero line, which often marks a shift in price direction.

**Does the Detrended Price Oscillator MCP work with any price data?**
Yes, you can provide any series of price data to your agent, and it will process the calculations for you.

**Can I use the Detrended Price Oscillator MCP to identify market cycles?**
Yes, the tool is specifically designed to measure the distance between price peaks and troughs to reveal dominant cycles.

**How does this MCP differ from standard momentum indicators?**
Unlike standard indicators, this MCP removes the underlying trend, allowing you to see the pure cyclical movement of the price.

**Can I connect the Detrended Price Oscillator MCP to Claude or Cursor?**
Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through the Vinkius platform.