RAG Finance: Bollinger Bands and RSI Crossover Trading Strategy
The Machine Learning Engineer via YouTube
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This 44-minute video tutorial demonstrates how to build a Retrieval-Augmented Generation (RAG) application with an Intelligent Agent that implements a Bollinger Bands and RSI Crossover Trading Strategy. Learn how to combine two powerful technical analysis indicators - Bollinger Bands for volatility measurement and Relative Strength Index (RSI) for momentum confirmation - to create a quantitative trading approach that identifies potential market reversal points. Discover how to generate trading signals by monitoring price crossovers with Bollinger Bands while using RSI overbought/oversold levels (above 70 and below 30) to confirm trend reliability. The implementation uses LangGraph, OpenAI Models, and Yahoo Finance data to create a practical trading strategy application. For access to the accompanying notebooks, paid subscribers should contact the administrator at mlengineerchannel@gmail.com.
Syllabus
RAG Finance: Bollinger Bands and RSI Crossover Trading Strategy. #machinelearning #datascience
Taught by
The Machine Learning Engineer