Coca-Cola-Stock-Analysis

Analysis of Coca cola stock data using Python and Jupyter Notebook

Project Overview

This project is a comprehensive stock market analysis of Coca-Cola (KO) over the last five years, showcasing key technical indicators and interactive visualizations.

Objective:

The primary goal of this project is to:

1. Explore Coca-Cola’s stock performance over a five-year period.

2. Analyze trends and patterns using technical indicators.

Features:

• Candlestick Chart: Visualizes stock price movements (open, high, low, close) over time.

• Technical Indicators:

• Moving Averages (20-day, 50-day, 200-day): Highlights short and long-term trends.

• Relative Strength Index (RSI): Identifies overbought/oversold conditions.

• Bollinger Bands: Tracks price volatility and potential reversals.

• MACD (Moving Average Convergence Divergence): Provides trend-following momentum signals.

• Interactive Elements: Includes slicers for filtering by date range and volume.

Tools Used:

• DAX (Data Analysis Expressions): To calculate technical indicators such as RSI, Bollinger Bands, and MACD.

Data Source:

The data includes daily stock prices of Coca-Cola and is stored in a CSV file. Key columns include:

• Date: Trading date.

• Open: Opening price.

• High: Highest price during the trading session.

• Low: Lowest price during the trading session.

• Close: Closing price.

• Adj Close: Adjusted closing price.

• Volume: Total number of shares traded.

Insights and Outcomes

The analysis provides:

1. Trend Analysis: Identification of bullish and bearish trends.

2. Market Conditions: Insights into volatility and price momentum.

3. Investment Signals: Key levels for potential buying or selling decisions.

Feel free to explore the repository and contribute! If you have any questions, raise an issue or reach out.

Let me know if you’d like to add more specific details or modify this description.