Results: Successfully achieved the requirements
1. Bitcoin Volume Trends: Visualized and analyzed the volume trends over the years to identify patterns and significant changes in trading activity.
2. Market Cap Analysis: Calculated and represented the market capitalization of Bitcoin, gaining insights into its growth and fluctuations.
3. Volatility Examination: Explored the volatility patterns of Bitcoin's price to understand its stability and potential risks.
4. Cumulative Return: Computed the cumulative return on investment for Bitcoin throughout the years.
5. Moving Averages: Implemented and visualized moving averages to spot trends and potential entry/exit points in the market.
6. Daily Price Change: Studied the daily percentage price change of Bitcoin to assess its price movements.
7. Relative Strength Index (RSI) of Bitcoin: Calculated and analyzed the RSI to understand the asset's overbought and oversold conditions.
➡️ Process:
1. Data Collection and Understanding: Obtained the dataset containing Bitcoin price and trading information from 2014 to 2023.
2. Data Preprocessing: Cleaned and prepared the data for analysis, handling missing values and outliers.
3. Data Modeling: Utilized various statistical and analytical techniques to derive valuable insights from the data.
4. Data Visualization: Represented the findings using Candlestick charts, Line graphs, and Bar charts for enhanced understanding and visualization.