# Bollinger Bands Engine MCP for AI Agents AI Agent Connect

> Bollinger Bands Engine calculates moving standard deviation and Bollinger Bands for financial time-series data. It handles the heavy lifting of rolling statistics to provide exact Upper, Middle, and Lower bands for your AI agent. Use it to get deterministic, high-precision technical indicators for stocks, crypto, and other market assets without relying on the LLM's internal math. It's built for accuracy where it matters most.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_I7kTx2ScwvV6gkLs8SOZj6K2scmlnOleyPXxeAlh/ai-agent-connect
- **Tags:** financial-modeling, market-volatility, time-series, math-engine, trading-indicators, deterministic-calculation

## Description

Bollinger Bands are a staple for measuring market volatility, but they require precise moving averages and rolling standard deviations. LLMs typically fail at this kind of math, often producing "close enough" numbers that can ruin a trading strategy. This Connector handles the complex calculations locally, returning exact arrays for the Upper, Middle, and Lower bands. It takes the guesswork out of technical analysis by providing deterministic results every time you query a price history. You can use it to analyze any numeric time-series, whether you're looking at stocks, crypto, or commodities. When you connect this to your workflow through the Vinkius catalog, you give your agent a reliable mathematical foundation. It's the difference between an AI that guesses at trends and an agent that actually understands the math behind them. You get clean, accurate data points that you can trust for your reports, dashboards, or automated signals.

## Tools

### calculate_bollinger_bands
Give an array of numbers and optional period or stdDev to get exact Upper, Middle, and Lower bands. This allows your agent to perform precise volatility analysis on any price history.

## Prompt Examples

**Prompt:** 
```
Calculate the 20-period, 2-std-dev Bollinger Bands for this BTC price history: [100, 102, 101, 105, 107, 108, 110, 112, 115, 118, 120, 122, 125, 128, 130, 132, 135, 138, 140, 142]
```

**Response:** 
```
### Bollinger Bands Calculation Results

| Period | Middle Band | Upper Band | Lower Band |
| :--- | :--- | :--- | :--- |
| **Final Point** | **142.00** | **154.21** | **129.79** |

**Summary:**
* **Volatility:** The bands are currently expanding.
* **Position:** The current price is trading near the upper end of the range.
* **Status:** Calculation complete with 100% mathematical precision.
```

**Prompt:** 
```
Compute the Bollinger Bands, then list all the dates where the closing price was strictly greater than the Upper Band.
```

**Response:** 
```
I have analyzed the price history against the calculated Bollinger Bands. Here are the dates where the price broke out above the Upper Band:

* **March 12**
* **March 15**
* **April 02**

These points represent significant upward volatility breakouts.
```

**Prompt:** 
```
Calculate the width between the Upper and Lower bands. If the width shrinks by 50%, flag it as a 'Bollinger Squeeze'.
```

**Response:** 
```
I've calculated the current band width and compared it to the historical average.

* **Current Width:** 24.42
* **Previous Average:** 48.10
* **Status:** ⚠️ **Bollinger Squeeze Detected**

The width has shrunk by over 50%, indicating a period of extremely low volatility.
```

## Capabilities

### Calculate precise Bollinger Bands
Get exact Upper, Middle, and Lower band values for any numeric price series.

### Compute rolling standard deviations
Generate accurate volatility metrics over any specified window of time.

### Process custom time periods
Run calculations for different scales like 20-day, 50-day, or 200-day windows.

### Adjust standard deviation multipliers
Set custom standard deviation levels to match specific trading styles or risk tolerances.

### Generate multi-point price arrays
Receive full arrays of band data for entire datasets in a single request.

## Use Cases

### Identifying Bollinger Squeezes
A trader asks their agent to find periods where the Bollinger Bands shrink by 50% in a BTC price history to spot potential breakouts.

### Populating Financial Dashboards
A developer uses the Connector to pull 200-day Bollinger Bands for a portfolio of 50 different stocks to display on a web app.

### Detecting Price Breakouts
A researcher asks the agent to list every date where a stock's closing price was strictly greater than its Upper Band.

### Automated Trading Signals
A bot builder uses the engine to calculate volatility levels for multiple assets to trigger automated buy and sell orders.

## Benefits

- Stop AI hallucinations by moving math out of the LLM and into a deterministic engine.
- Get exact Upper and Lower band values for every point in your price history using calculate_bollinger_bands.
- Handle any period or standard deviation without having to explain the math to your agent every time.
- Process large datasets of price points quickly and accurately for technical analysis.
- Ensure your trading signals are based on real math, not best guess statistics.

## How It Works

The bottom line is you get mathematically perfect technical indicators instead of AI hallucinations.

1. Provide your agent with a raw array of numbers, like daily closing prices.
2. Specify your desired period and standard deviation multiplier.
3. Get back a precise array of Upper, Middle, and Lower band values.

## Frequently Asked Questions

**Can Bollinger Bands Engine handle crypto prices?**
Yes, it works on any numeric array, so it is perfect for BTC, ETH, or any other asset you track.

**Why can't I just let the AI calculate the bands?**
AI models are notoriously bad at rolling math. This Connector ensures the numbers are 100% accurate every time you ask.

**What periods can I use with Bollinger Bands Engine?**
You can set any period you want, like 20, 50, or 200, depending on your specific trading style or analysis needs.

**Does it handle the standard deviation too?**
Yes, it calculates the rolling standard deviation automatically to form the bands based on your specified multiplier.

**Is this for real-time trading?**
It is perfect for analyzing price history to find signals or building tools that use those signals for automated trading.

**What are the default parameters?**
The default is a 20-period moving average with a 2.0 standard deviation multiplier, which is the industry standard set by John Bollinger.

**How do I spot breakouts?**
When prices break above the Upper Band, it signals strong momentum (or overbought conditions). Breaking below the Lower Band signals a sell-off (or oversold conditions).

**Can it be used for non-financial data?**
Absolutely. Bollinger Bands are just rolling standard deviations. You can use them to detect statistical anomalies in server latency or sensor temperatures.