> For the complete documentation index, see [llms.txt](https://torch-1.gitbook.io/litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://torch-1.gitbook.io/litepaper/vision-and-objectives.md).
# Vision & Objectives
Torch seeks to democratize access to predictive insights by enabling participants to engage in a decentralized prediction ecosystem. The key goals include:
* Identifying tokens likely for a 1.5x+ surge within 1-3 weeks
* AI-augmented trading strategies leveraging machine learning models for price forecasting
* Enhancing prediction quality through incentive mechanisms for crypto traders
### **InfoFi principles**
The system is built on the principle that aligned incentives drive accurate market intelligence.
By aggregating insights from a diverse user base, it rewards signal discovery while penalizing noise and low-quality predictions to ensure that only meaningful forecasts influence market outcomes. This structure encourages fair and transparent price discovery, while the liquidity-weighted prediction model dynamically adjusts based on market confidence and participation levels.
The InfoFi approach transforms raw speculation into actionable insights, enables market observers to identify emerging trends early and capitalize on high-quality market signals.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## 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, and the optional `goal` query parameter:
```
GET https://torch-1.gitbook.io/litepaper/vision-and-objectives.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.