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

# What is Hitcastor?

**Hitcastor** is the first comprehensive music charts prediction market platform, enabling users to predict streaming chart movements across multiple platforms. Built on Binance Smart Chain with well-known UMA oracles and real-world data feeds. 

**Key Features**

* **Daily quick markets** Users can trade daily rises/falls the same way traders track price movements. Simple, intuitive prediction mechanics: *“Will \[Song Name] improve its position on Spotify \[Global/US] Top 50 by \[Resolution Date] vs. \[Start Date]?”*
* **Cross-platform comparison markets** Unique markets comparing chart performance across platforms: Spotify vs Apple Music, Billboard vs YouTube, Global vs Country: *“Will \[Song] rank higher on Spotify US than Apple Music US on \[Date]?”.*
* **Oracle-based chart data resolution (Spotify / Apple Music / Billboard)** All markets resolve trustlessly via automated chart oracles, ensuring transparent outcomes and preventing manipulation.
* **Smart Market Selection** We built a tracker that scans charts in real time. Only high-momentum songs get markets, ensuring every market is relevant, active, and worth trading.