Golden Cross Detection with Python

This project is a simple Python notebook that detects and visualizes the Golden Cross and Death Cross using 50-day and 200-day moving averages on stock price data.

It is built to run easily in Google Colab and uses publicly available market data.

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What is a Golden Cross?

A Golden Cross occurs when:

• The 50-day moving average crosses above
• The 200-day moving average

This is commonly interpreted as a bullish trend signal, suggesting that price momentum is turning positive.

The opposite signal is the Death Cross, where the 50-day MA crosses below the 200-day MA, often considered bearish.

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What does this code do?

This notebook:

1. Downloads historical stock price data using yfinance
2. Calculates 50-day and 200-day moving averages
3. Detects Golden Cross and Death Cross events
4. Pinpoints exact dates and prices where crossovers occur
5. Visualizes:
   • Closing price
   • Moving averages
   • Golden Cross
   • Death Cross

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Visualization Example

Below is an example of the output visualization:

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