# Automated Trading 1. **Robust Risk and Portfolio Management**\ Risk Analyst AI leads our AI-driven predictive modeling. It identifies potential risks, ensuring our trading decisions are in line with predefined risk parameters. Working in tandem with the agents, this system achieves a balance of opportunity and prudent risk management. 2. **AI-Driven Consensus Decision-Making**\ The cornerstone of our methodology is the unified decision-making process among our AI agents. This collective intelligence ensures all agents are in consensus on the available opportunity presented by a prospective trade. 3. **Automated Trading Execution**\ Once a strategy is approved, our automated trading bot efficiently executes the trading plan, ensuring timely and precise market entries and exits. 4. **Continuous Performance Analysis and Feedback**\ Post-execution analysis is crucial. It assesses outcomes and feeds back insights into our strategy formulation process, ensuring continuous improvement and adaptation. --- # 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://stackerai.gitbook.io/stacker-ai/how-it-works/stacker-algorithm/automated-trading.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.