> For the complete documentation index, see [llms.txt](https://pythcorrelation.gitbook.io/pythcorrelation-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pythcorrelation.gitbook.io/pythcorrelation-docs/readme.md).

# Welcome

> **Real-time cross-asset correlation analytics powered by Pyth Network oracles**

[![Live](https://img.shields.io/badge/status-live-brightgreen)](https://pythcorrelation.com) [![Powered by Pyth](https://img.shields.io/badge/oracle-Pyth%20Network-8b5cf6)](https://pyth.network) [![Built by rustrell](https://img.shields.io/badge/built%20by-rustrell-a78bfa)](https://x.com/xzolmoney)

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## What is this?

**Pyth Correlation Tracker** is a real-time financial analytics dashboard that streams live price data from the [Pyth Network](https://pyth.network) oracle and computes statistical relationships between 28 major assets across crypto, forex, metals, equities, and indices.

Unlike traditional charting tools that show prices in isolation, this platform reveals hidden connections between markets: how BTC moves with gold, whether ETH leads or lags SOL, and how macro assets like EUR/USD relate to crypto during different market regimes.

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## Key Capabilities

| Module      | Description                                                      |
| ----------- | ---------------------------------------------------------------- |
| Matrix      | Live Pearson correlation heatmap across all asset pairs          |
| Charts      | OHLCV candlestick and line charts via Pyth Benchmarks            |
| Correlation | Deep-dive pair analysis with rolling history                     |
| Entropy Lab | Gaussian entropy and adjusted NMI nonlinear dependency detection |
| Lead-Lag    | Cross-correlation shift analysis with OOS confirmation           |

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## Live Stats

* **28 assets** tracked simultaneously
* **3-second** price update interval
* **200 aligned ticks** rolling correlation window
* **Pyth Hermes REST polling** for live feeds
* **Pyth Benchmarks** for historical OHLCV
* **Timestamp-aligned live tick store** for downstream analytics
* **Feed diagnostics** for stale ticks, skew, and ordering issues

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## Quick Links

* [Live App](https://pythcorrelation.com)
* [Twitter / X](https://x.com/xzolmoney)
* [Contact](mailto:stytunnik@gmail.com)
* [Pyth Network](https://pyth.network)

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*© Hackathon 2026 rustrell. All rights reserved.*