A real-time economic analysis dashboard tracking the impact of 2025-2026 US tariff policies across stock markets, companies, and consumer prices.
- Tracks 8 sector ETFs before and after tariff announcement (Apr 2, 2025)
- Analyzes 8 major companies by import exposure and stock performance
- Estimates consumer price increases across spending categories
- Pulls live data from Yahoo Finance API — updates every hour
- Technology +32.9% — best performing sector since tariffs
- Nike -32.4% — highest import exposure, most negatively impacted
- Caterpillar +122% — domestic manufacturing winner
- $53/month — estimated household cost increase from tariffs
- Electronics face the highest price increase at +8.5%
- Policy Event Analysis — interactive before/after market impact for 5 major tariff events including Liberation Day and US-China truce
- Python — yfinance, pandas, Plotly
- Streamlit — interactive multi-tab dashboard
- Data Source — Yahoo Finance (live), BLS CPI data
pip install yfinance pandas streamlit plotly
streamlit run dashboard.py├── dashboard.py # Streamlit dashboard (3 tabs) ├── fetch_data.py # Data fetching pipeline ├── requirements.txt # Dependencies ├── PM_MEMO.md # Strategic analyst memo
See PM_MEMO.md for full findings and recommendations.