Trader Behavior and Market Sentiment Correlation Analysis

Project Overview

This project explores the relationship between trader behavior and overall market sentiment, focusing on Bitcoin trader data and the Fear & Greed Index.
The goal is to uncover trends between profitability, risk, leverage, volume, and how these align with sentiment phases such as Fear, Greed, Extreme Fear, Extreme Greed, and Neutral.

Folder Structure

ds_vishal/ ├── notebook_1.ipynb # Main analysis done in Google Colab ├── csv_files/ # Raw, intermediate, and processed CSV files ├── outputs/ # Charts, plots, and result images (.png, .jpg) ├── ds_report.pdf # Final report PDF └── README.md # setup instructions

Setup Instructions

1. Clone this repository or download it as a ZIP.
2. Open the Colab notebooks using Google Colab.
3. Upload all CSV files into the csv_files/ folder.
4. Ensure file paths in the notebooks match your structure.
5. Run all notebook cells step by step.

Data Sources

• Historical Trader Data: Transaction details like start position, closed PnL, direction, and timestamps.
• Fear & Greed Index: Sentiment data with timestamps and classification (Fear, Greed, Extreme Fear, Extreme Greed, Neutral).

Key Outputs

• Cleaned and merged datasets.
• Exploratory Data Analysis (EDA) visualizations.
• Sentiment vs Trading Metrics charts.
• Final report PDF with summarized findings.

Access

• All code is executed and shared via Google Colab.
• Notebooks are shared with “Anyone with the link can view.”

Author

Vishal Kumar
Data Analyst | Candidate for B.Tech CSE (Data Science)

License

This project is for educational and learning purposes only.