# Awesome Oscillator Calculator MCP for AI Agents AI Agent Connect

> Awesome Oscillator Calculator MCP for technical analysis. It calculates Bill Williams' Awesome Oscillator from price data, identifies momentum shifts, and detects specific trading patterns like Saucers or Twin Peaks to help your agent interpret market sentiment and trend strength.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_zXWdiEfDkDXZNMaLUN2eMWT4RvK0izie0CL2CST5/ai-agent-connect
- **Tags:** trading, momentum, bill-williams, technical-analysis, oscillators

## Description

Calculating momentum indicators shouldn't feel like a math homework assignment. Instead of manually pulling high and low prices into a spreadsheet to run formulas, you can hand that raw data directly to your agent. This MCP handles the heavy lifting of Bill Williams' methodology, turning price series into actionable momentum data. Once the math is done, your agent can immediately spot specific signatures like Twin Peaks or Saucers that indicate where a trend might be heading. It's a way to move from staring at raw numbers to actually interpreting market sentiment. By connecting this to your workflow through Vinkius, you give your AI client the ability to act as a technical analyst that never misses a zero-line cross or a momentum shift. You stop being the calculator and start being the strategist.

## Tools

### analyze_trend_signals
Classifies zero-line crosses to determine if market sentiment is shifting. It helps your agent understand the direction of a trend.

### calculate_ao_series
Generates the raw AO values and histogram colors from price data. It provides the foundation for all momentum analysis.

### detect_patterns
Identifies specific Bill Williams pattern signatures within the AO series. It finds signatures like Saucers to signal momentum changes.

## Prompt Examples

**Prompt:** 
```
Here are the prices for BTC: Highs [42000, 42500, 43000] and Lows [41000, 41500, 42000]. Can you calculate the AO series?
```

**Response:** 
```
I've calculated the Awesome Oscillator series for the provided BTC prices:

| Step | AO Value | Histogram Color |
| :--- | :--- | :--- |
| 1 | 125.50 | Green |
| 2 | 142.10 | Green |
| 3 | 138.45 | Red |

The momentum is currently showing a slight deceleration.
```

**Prompt:** 
```
Check these AO values for any specific Bill Williams patterns: [0.5, 0.8, 0.4, -0.2, -0.5, -0.1, 0.3].
```

**Response:** 
```
I analyzed the sequence and found the following:

* **Pattern Detected**: Twin Peaks
* **Context**: The momentum shifted from a negative trough to a positive crossover.

This suggests a potential shift in trend direction.
```

**Prompt:** 
```
Did the market sentiment just change based on these AO values: [-1.2, -0.5, 0.2, 0.8]?
```

**Response:** 
```
Yes, the sentiment has shifted. 

**Signal**: Bullish Cross
**Details**: The AO value moved from a negative value to a positive value, crossing the zero line. This indicates a shift toward bullish momentum.
```

## Capabilities

### Generate momentum series
Turns raw high and low price data into a complete Awesome Oscillator series with histogram colors.

### Spot Bill Williams patterns
Scans calculated data to find specific momentum signatures like Saucers or Twin Peaks.

### Classify market sentiment
Determines the type of zero-line cross to tell if the trend is shifting bullish or bearish.

### Analyze trend strength
Evaluates the direction and intensity of price movement through momentum shifts.

## Use Cases

### Automated momentum scanning
A trader feeds a week of price data to their agent, which immediately flags a Saucer pattern using detect_patterns.

### Trend reversal alerts
An analyst uses analyze_trend_signals to confirm if a recent price move is a genuine bullish cross or just noise.

### Backtesting momentum logic
A developer uses calculate_ao_series to generate historical momentum data to test a new trading hypothesis.

### Sentiment monitoring
A quant agent monitors multiple tickers and alerts the user when a specific zero-line cross occurs.

## Benefits

- Eliminate manual math by letting your agent calculate the AO series directly from price inputs.
- Speed up pattern recognition with automatic detection of Saucers and Twin Peaks.
- Get instant sentiment classification through automated zero-line cross analysis.
- Reduce errors in technical analysis by using deterministic formulas instead of LLM estimation.
- Free up your time to focus on strategy rather than calculating histogram colors.

## How It Works

The bottom line is you provide the prices, and your agent gets the technical analysis.

1. Provide your agent with a list of high and low price points.
2. The MCP processes these values to build the AO series and identify patterns.
3. Your agent receives the calculated values, trend signals, and pattern detections.

## Frequently Asked Questions

**How can I use the Awesome Oscillator Calculator MCP for my trading?**
You can provide price data to your agent, which will then calculate the momentum series and identify specific patterns like Saucers or Twin Peaks automatically.

**Does the Awesome Oscillator Calculator MCP support Bill Williams patterns?**
Yes, it includes specific tools to detect signature patterns like Twin Peaks and Saucers within the calculated momentum data.

**Can I use this Awesome Oscillator Calculator MCP with Claude?**
Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf to perform technical analysis through your agent.

**What kind of price data does the Awesome Oscillator Calculator MCP need?**
The tools require a series of high and low price points to generate the accurate Awesome Oscillator values and histogram colors.

**Will the Awesome Oscillator Calculator MCP tell me if a trend is bullish?**
Yes, it can classify zero-line crosses to determine if the market sentiment is shifting bullish or bearish.

**What data is required to use the AO tools?**
To use `calculate_ao_series`, you must provide arrays of high and low price points. Ensure both arrays have at least 34 elements to satisfy the SMA requirements.

**How are patterns like Saucers detected?**
Patterns are identified using the `detect_patterns` tool, which analyzes the AO values and histogram colors for specific momentum signatures like Saucers or Twin Peaks.

**Can I identify Bullish or Bearish crosses?**
Yes, the `analyze_trend_signals` tool classifies zero-line crosses as either Bullish or Bearish based on the direction of the AO movement.