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Learn to apply artificial intelligence techniques to financial markets and investment strategies through hands-on development of AI agents and analytical tools. Build comprehensive mortgage lending analysis applications using machine learning algorithms to assess loan risks and automate decision-making processes. Develop market scanning systems integrated with Anthropic's AI capabilities and Model Context Protocol (MCP) to monitor real-time market conditions and identify trading opportunities. Create AI agents that implement dual moving average strategies for automated trading decisions and portfolio management. Explore Retrieval-Augmented Generation (RAG) systems for financial analysis, including Connor RSI strategy implementation for momentum-based trading signals. Master combined trading strategies by building systems that integrate Bollinger Bands with Fibonacci retracements for technical analysis and market timing. Implement MACD and Donchian Channels combined strategies to identify trend reversals and breakout patterns. Develop Bollinger Bands and RSI crossover trading strategies for volatility-based investment decisions. Build simple yet effective financial analysis tools using RAG architecture to process market data and generate investment insights. Gain practical experience in data science and machine learning applications specifically tailored for financial markets, investment analysis, and algorithmic trading systems.
