I’m looking to get a quote for this project. I’m searching for a developer experienced in AI and Algorithmic Trading to build the infrastructure for a proprietary software system. The system is not a classic rule-based bot, but a RAG (Retrieval-Augmented Generation) architecture that uses LLMs (such as GPT-4 or DeepSeek) to analyze 20 years of historical data on XAUUSD and cross-reference it with real-time macroeconomic news. Objective: Create a Python backend that autonomously handles analysis, risk calculation, and order execution on MetaTrader 5, while strictly respecting capital-management rules (suitable for Prop Firms). Modules to Develop: 1. Data Infrastructure: Historical/live data collection and news ingestion (Bloomberg/ForexFactory), plus volumetric indicator calculations. 2. AI Core: A system that provides context to the LLM and receives a structured JSON output (Entry, Stop Loss, Take Profit, Confidence Score). 3. Execution Engine: A bridge between Python and MetaTrader 5 for order transmission. 4. Risk Manager: A mathematical (non-AI) module for position sizing and blocking operations in case of excessive drawdown.