How ahtisham34-tech/psx-stock-analysis works
This repository is an end-to-end KSE-100 market analysis project: an analyst explores 2008–2021 trading data through a Python notebook, which documents feature engineering and SQL window-function analysis, alongside a Power BI dashboard for interactive review. The README identifies cleaned and feature-engineered CSVs and dashboard capabilities including trend, volatility, seasonality, returns, moving averages, and drawdown. The tree provides no source excerpts, so exact notebook reads, exports, and dashboard data connections cannot be verified; those links are omitted.
Main entry points: psx_analysis.ipynb Python Analysis · power_bi_dashboard.pbix Power BI Dashboard
Components 6
Market Analysis
- Python Analysis
psx_analysis.ipynb
Market Data
- Source Data
stock_exchange_data.csv - Engineered Features
kse100_features.csv - Cleaned Data
kse100_clean.csv
Interactive Dashboard
- Power BI Dashboard
power_bi_dashboard.pbix
Other components
- Analyst
Connections 2
- Analyst → Python Analysis: analyzes data
- Analyst → Power BI Dashboard: explores dashboard