Prowlr

Prowlr: The Future of Autonomous Financial Intelligence Prowlr represents a paradigm shift in how retail and institutional traders interact with the global financial ecosystem. By moving beyond the static "search and summarize" model of traditional AI, Prowlr introduces a state-machine-driven autonomous agent that doesn't just read the news—it understands, reasons, and acts upon it in real time. 1. The Core Philosophy: From Information to Action The modern financial landscape is characterized by "Information Overload." Between the 24-hour news cycle of Reuters and the volatility of cryptocurrency markets, human traders are often paralyzed by the sheer volume of data. Prowlr solves this by functioning as a continuous intelligence loop. It operates on the principle of Reasoning Transparency, ensuring that every signal generated is not a "black box" output but a documented logical progression. When the agent identifies a shift in Federal Reserve policy or a sudden breakout in Gold (XAU/USD) prices, it explains why it is recommending a trade, citing specific news triggers and sentiment indicators. 2. Technical Architecture: AWS-Native Scalability Prowlr is built to handle the high-velocity data streams required for forex and index trading. Its architecture is divided into three primary layers: Data Ingestion & State Management Tavily API Integration: Unlike standard search engines, Tavily is optimized for LLMs, providing clean, filtered, and relevant financial data. The State Machine: The agent operates through distinct phases: Scanning, Analyzing, Validating, and Executing. This ensures that no trade is placed without passing through rigorous logical gates. AWS DynamoDB: Utilizing a Single-Table Design, Prowlr achieves sub-millisecond latency. The use of Time-to-Live (TTL) attributes ensures that the database remains lean, automatically purging stale news and logs while retaining critical trade history.