> For the complete documentation index, see [llms.txt](https://docs.automatamarket.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.automatamarket.com/getting-started/introduction.md). # Introduction Automata Market is built around an 8-layer intelligence architecture that continuously senses, reasons, and acts across crypto markets. Each layer contributes a distinct capability — from real-time data aggregation and sentiment analysis to ensemble forecasting, risk controls, and optimized execution with MEV-aware routing. Who this is for: * Traders who want robust autonomous execution with transparent controls * Quants who want to understand the decision stack and risk model * Developers who want to integrate wallets and build custom workflows Key concepts: * Multi-model ensemble: LSTM forecasting + gradient boosting and neural model fusion for consensus * Strategy orchestration: Policy chooses among momentum, mean-reversion, arbitrage, and hedging * Risk governance: Position sizing, drawdown guards, and Sharpe-optimized portfolios * Smart execution: Slippage-aware routing, gas optimization, and MEV protection * Continuous learning: Reinforcement loop updates policies from realized PnL and risk Next steps: * Read the [The 8-Layer Intelligence](/overview/eight-layers.md) * Follow the [Quickstart](/getting-started/quickstart.md) to connect a wallet and run in sandbox --- # 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://docs.automatamarket.com/getting-started/introduction.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.