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Learn to build an intelligent agent that implements a scoring system combining Bollinger Bands and Fibonacci Retracement strategies in this hour-long tutorial. Discover how Bollinger Bands identify price volatility through three lines (a 20-period moving average and two standard deviation bands) to spot overbought or oversold conditions. Understand how Fibonacci Retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) create horizontal support and resistance zones between significant price points. Master the combined strategy that generates buy signals when price crosses above the lower Bollinger Band near Fibonacci support, and sell signals when price crosses below the upper band near Fibonacci resistance. The implementation uses LangGraph, OpenAI Models, and Yahoo Finance data, creating a system that filters false signals and works especially well in range-bound markets. Note that the notebook and code are available only for paid subscribers.
