Concept: Share of National Financial System portfolio of nonearmarked credit operations in which there is at least one payment in arrear for over 90 days. Excludes operations with regulated rates, operations with funds from the National Bank for Economic and Social Development (BNDES) or any operations with government funds or funds with mandatory destination. Source: Central Bank of Brazil – Statistics Department 21127-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---households- 21127-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---households-

Concept: Share of National Financial System portfolio of nonearmarked credit operations in which there is at least one payment in arrear for over 90 days. Excludes operations with regulated rates, operations with funds from the National Bank for Economic and Social Development (BNDES) or any operations with government funds or funds with mandatory destination. Source: Central Bank of Brazil – Statistics Department 21104-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---non-financi 21104-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---non-financi

Concept: Share of National Financial System portfolio of nonearmarked credit operations in which there is at least one payment in arrear for over 90 days. Excludes operations with regulated rates, operations with funds from the National Bank for Economic and Social Development (BNDES) or any operations with government funds or funds with mandatory destination. Source: Central Bank of Brazil – Statistics Department 21092-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---non-financi 21092-percent-of-90-days-past-due-loans-of-nonearmarked-credit-operations-outstanding---non-financi

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What is revolving credit?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Concept: Share of National Financial System portfolio of nonearmarked credit operations in which there is at least one payment in arrear for 15 to 90 days. Excludes operations with regulated rates, operations with funds from the National Bank for Economic and Social Development (BNDES) or any operations with government funds or funds with mandatory destination. Source: Central Bank of Brazil – Statistics Department 21048-percent-of-arrears-from-15-to-90-days-of-nonearmarked-credit-operations-outstanding---househo 21048-percent-of-arrears-from-15-to-90-days-of-nonearmarked-credit-operations-outstanding---househo