> ## Documentation Index
> Fetch the complete documentation index at: https://partners.centaur.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# How It Works

> How Centaur turns trader activity into source-backed market intelligence.

Centaur transforms monitored trader communications into structured data and product workflows.

## 1. Monitor source activity

Centaur monitors selected trader sources and ingests messages, timestamps, links, and attachments where available.

## 2. Classify trading content

The extraction pipeline identifies messages that contain actionable trade activity. Market commentary, education, and general sentiment are useful context, but they do not become structured trade events unless they contain a clear asset, direction, and action.

## 3. Extract events and positions

Trade messages become structured events: open, increase, decrease, or close. Related events are grouped into positions so the product can show current exposure and historical performance.

## 4. Evaluate performance

Centaur evaluates positions with fixed **Time-Based Performance** windows: `1D`, `7D`, and `30D`. This lets users compare traders on a consistent clock after entry rather than relying only on when or whether a close was posted.

## 5. Surface workflows

The product app turns the data into workflows:

* discover traders and assets
* monitor Feed activity
* manage followed traders and assets
* inspect trader and asset profiles
* ask the in-app Assistant tool-backed questions
* connect API, MCP, and Telegram workflows from settings

## 6. Keep source context available

When available, structured events retain source-message references so users can inspect the original reasoning, chart, or message behind a data point.