Reproduce Analysis

Quick Start

git clone https://github.com/Digital-AI-Finance/CB-Speeches-Analysis.git
cd CB-Speeches-Analysis && pip install -r requirements.txt
python -c "from analysis.run_all import run_pipeline; run_pipeline()"
cd charts && python run_all_charts.py

Requirements

• Python 3.9+
• ~500MB disk space
• Dependencies: pandas, numpy, scikit-learn, matplotlib, ruptures

Pipeline Steps

1. Run Analysis

python -c "from analysis.run_all import run_pipeline; run_pipeline(use_cached=True)"

2. Generate Charts

cd charts && python run_all_charts.py

3. Run Tests

python -m pytest tests/ -v

4. Launch Dashboard

streamlit run app.py

Output Files

• data/pca_components.csv - PC1 and PC2 time series
• data/breakpoints.json - Structural break dates
• data/sentiment_aggregated.csv - Monthly sentiment counts
• data/correlation_matrix.csv - First-difference correlations
• charts/*/chart.pdf - 12 publication-ready figures