Bitcoin Market Sentiment and Trader Performance Analysis
Vaibhav Kumar
Bitcoin Market Sentiment vs Trader Performance Analysis
Project Overview
This project explores the relationship between Bitcoin market sentiment and trader performance using the Bitcoin Fear & Greed Index Dataset and the Historical Trader Dataset.
The objective is to identify how market sentiment influences trading behavior, profitability, win rates, trading volume, and overall trader performance.
Datasets Used
Bitcoin Fear & Greed Index Dataset
Date
Classification
Value
Historical Trader Dataset
Account
Coin
Execution Price
Size USD
Side
Timestamp IST
Closed PnL
Fee
Trade ID
Analysis Performed
Data Cleaning and Preprocessing
Dataset Integration
Sentiment Distribution Analysis
Average Profitability Analysis
Total Profitability Analysis
Win Rate Analysis
Trading Volume Analysis
Buy vs Sell Behavior Analysis
Average Trade Size Analysis
Most Profitable Assets Analysis
Key Findings
Extreme Greed delivered the highest average profitability and win rate.
Fear generated the highest total profit and trading volume.
Extreme Fear recorded the lowest profitability and win rate.
Traders achieved strong profitability during Fear periods despite negative sentiment.
Asset selection significantly impacted overall profitability.
Tools & Libraries
Python
Pandas
NumPy
Matplotlib
Seaborn
Jupyter Notebook
Author
Vaibhav Kumar
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Posted Aug 5, 2026
Analyzed Bitcoin sentiment's impact on trader performance using datasets.
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