Forecasting Project Data Layout
This project is organized for research-first use.
Folder map
Data/raw/minute/- Original minute OHLCV source files for NIFTY 50, NIFTY BANK, INDIA VIX, HDFCBANK, RELIANCE, WIPRO, and KOTAKBANK.
Data/processed/bars/- Clean OHLCV bars at
1m,5m,1h,4h, and1d.
- Clean OHLCV bars at
Data/processed/features/- Per-asset feature sets for each timeframe.
Data/processed/panels/- Multi-asset aligned panels plus the daily master panel.
Data/metadata/manifest.csv,feature_dictionary.csv,layout.json, and this note.
Feature design notes
- Price features include returns, log returns, candle body/range, ATR, RSI, MACD, Bollinger z-score, moving-average-relative levels, and next-bar targets.
- The supplied index minute files have zero volume throughout, so the pipeline suppresses volume features and adds
volume_all_zeroinstead. - Intraday bars are grouped inside each observed trading session to avoid overnight contamination.
High-value outputs
Data/processed/panels/1m_market_panel.csvData/processed/panels/5m_market_panel.csvData/processed/panels/1h_market_panel.csvData/processed/panels/4h_market_panel.csvData/processed/panels/1d_market_panel.csvData/processed/panels/daily_master_panel.csv
Rebuild
Run:
python Code\scripts\data_preparation\build_research_data.py