Executive economic-intelligence platform for monitoring Brazilian inflation, monetary conditions, exchange-rate pressure, market momentum and purchasing-power risk.
- Economic Health Score
- IPCA accumulated over 12 months
- Selic and USD/BRL monitoring
- Ibovespa, gold and Brent comparison
- Inflation block-bootstrap Monte Carlo
- Future cost-of-living distribution
- Purchasing-power analysis
- Composite risk dashboard
- Rule-based executive report
- CSV and Markdown downloads
- Automatic fallback to demonstration data
Banco Central do Brasil SGS series 433, 1178 and 1; Yahoo Finance market data through yfinance.
Python, pandas, NumPy, Plotly, Streamlit, requests and yfinance.
conda create -n brazil-economic python=3.11 -y
conda activate brazil-economic
pip install -r requirements.txt
python -m streamlit run app.pyPush the repository to GitHub and deploy app.py on Streamlit Community Cloud using Python 3.11.
The Monte Carlo module uses a historical block bootstrap of monthly IPCA observations. The Economic Health Score combines inflation, monetary, exchange-rate and equity-market risk.
Developed an economic-intelligence platform integrating Brazilian macroeconomic and market data. Built executive KPIs, transparent risk scoring, Monte Carlo inflation simulations, purchasing-power scenarios and automated rule-based reporting using Python and Streamlit.
Educational portfolio project. It does not constitute financial, investment or economic advice.