# 💻Platform A trading platform for every asset class. AudaSynth is a **trading platform** which allows trading of **every asset in the investable universe**. Trading on AudaSynth means easily accessing products that are normally unavailable in the traditional market. ### The problem Not every asset in the traditional market are accessible to retail traders. Many asset classes, such as Luxury, Collectibles, Real Estate, Carbon Credits and many more, have enourmous entry barriers. In addition, most of such assets have largely illiquid markets, so buyers often find it difficult to open or close positions at any time. because of this lack of liquidity, some of those assets are also **not efficiently priced** on the traditional market. ### The Solution - AudaSynth To solve this problem, AudaSynth gives traders access to all assets **with no minimum capital requirements**. With our platform users are able to open a position on assets which would be traditionally impossible to trade. AudaSynth, throughout its cutting-edge liquidity protocol, also allow its users to open or close any position at any time without having to worry about liquidity. Last but not least, AudaSynth **has lower fees** and a better user interface compared to current market solutions. AudaSynth users are provided **a solution that allows better and more efficient portfolio management and diversification**, and it achieves that in a way that is **affordable** and **accessible**. AudaSynth manages to achieve this solution via two products: [Synthetic tokens](https://audasynth.gitbook.io/audasynth-docs/products/synthetic-tokens) and [Asset-Backed tokens](https://audasynth.gitbook.io/audasynth-docs/products/asset-backed-tokens). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://audasynth.gitbook.io/audasynth-docs/platform.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.