Trader-Performance-vs-Market-Sentiment

Objective

Analyze how market sentiment (Fear/Greed) impacts:

• Trading performance (PnL, win rate, drawdown)
• Trader behavior (frequency, size, bias)
• Different trader segments

Project Folder structure

.
├── Trader_Performance_vs_Market_Sentiment.ipynb   # Main notebook (clean, no outputs)
├── content/                                       # Datasets used
├── outputs/                                       # Output charts
├── Insights.md                                    # Documentation of the analysis and insight gained from the project
├── LICENSE
└── README.md                                      # Setup and how to run

How to Run

1. Create Virtual Environment

python -m venv venv
source venv/bin/activate      # Mac/Linux
venv\Scripts\activate         # Windows

2. Clone Repository

git clone https://github.com/Shriya-Guptaa/Trader-Performance-vs-Market-Sentiment.git
cd Trader-Performance-vs-Market-Sentiment

3. Install Dependencies

pip install pandas numpy matplotlib seaborn scikit-learn scipy

4. Add Dataset

5. Run Notebook

jupyter notebook

Open:

Trader_Performance_vs_Market_Sentiment.ipynb

Run all cells sequentially.

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For more insight refer to Analysis-and-Insights