# Introduction ### The problem Evaluating NFTs is very complex and requires multiple resources and deep expertise. NFTs are in a chaotic situation. Investors and traders are looking to get a short-term view of the future. Most assisting tools that try to predict or find abnormalities still need to be improved, resulting in countless hours with various investigation and detection tools with no results. Even after spending so many hours subscribing to “alpha groups” and paying influencers for 1-on-1 guidance, 90% of traders lose money over time. ### The solution There is a need for successful prediction tools in the NFT marketplace. We will attack it head-first by looking at on-chain and off-chain (social) data and providing democratized tools to be used by traders to transform them from losers to winners. We are looking ahead at predicting additional assets such as cryptocurrency tokens, vaults, and chains, focusing on becoming the monopolized powerhouse of indicating NFT collections and signaling winners. The mission of Solid Signal is to become an established layer for critical insights on NFTS.
### Introducing: Solid Signal Ai Solid Signal’s revolutionary AI-powered prediction system analyzes market fluctuations, social trends, and the patterns they produce to create high-resolution projections that improve future investments' consistency. Solid Signal’s prediction platform, paired with clear BUY/SELL signals and a transparent track record of success, brings unprecedented and simplistic clarity to NFT investors. A leader in algorithmic crypto trading. It integrates technology and knowledge through qualitative and quantitative research. Solid Signal continuously seeks to improve and refine the technology that powers High-Frequency Trading. --- # 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://ss-whitepaper.gitbook.io/ss-whitepaper/introduction.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.