bitcoin_analysis

Project Name: Stock Price Analysis with Python

Overview

This project involves the analysis of stock price data using Python and Jupyter Notebook. The analysis covers various aspects such as basic data analysis, data pre-processing, and detailed exploration of stock prices over time.

Project Structure

The project is organized into the following sections:

1. Data Reading and Basic Analysis

   • Utilizes Python to read stock price data and performs initial analysis.

2. Data Pre-processing

   • Involves cleaning and preparing the data for further analysis.

3. Price Change Analysis Over Time

   • Analyzes how the stock price changes over time.

4. OHLC (Open, High, Low, Close) Analysis for Bitcoin

   • Explores the open, high, low, and close values specifically for Bitcoin.

5. Closing Price Analysis

   • Analyzes the closing price of stocks on both normal scale and log-scale.

6. Closing Price Analysis on Different Time Bases

   • Breaks down closing prices on a yearly, quarterly, and monthly basis.

7. Daily Change in Closing Price Analysis

   • Examines the daily changes in closing prices of stocks.

How to Run

1. Ensure you have Python and Jupyter Notebook installed.
2. Clone this repository to your local machine.
3. Open the Jupyter Notebook file Stock_Price_Analysis.ipynb.
4. Run each cell sequentially to execute the code and generate insights.

Dependencies

• Python 3.x
• Jupyter Notebook

Data Source

The project uses stock price data as its source. Ensure the data file is correctly placed or configured.

Conclusion

This project provides a comprehensive analysis of stock price data, covering various aspects of price changes and trends over time.

Feel free to reach out if you have any questions or suggestions!