Interactive RRG dashboard for NSE sector indices powered by OpenAlgo

No description available

No description available

NSE Stock Screener — 7-tab dashboard for Indian equities with technical indicators, smart money signals, and sector heatmaps

NSE Sectoral Intelligence Dashboard

Dashboard for NSE sector for RRG

A smart and scalable Streamlit dashboard for analyzing NSE India sector trends using real-time price action, relative strength analysis, and FinBERT-powered financial news sentiment. This project blends technical data with NLP-based insights, offering a unique edge to traders, analysts, and data analysts.

Live NSE stock heatmap dashboard with sector performance and top gainers/losers

No description available

NSE Quant Portfolio Dashboard for personal investment analysis, sector insights, and alloy stock tracking.

AI-powered Indian equity sector allocation dashboard. Uses LLM-driven multi-factor analysis to generate data-driven sector recommendations for NSE/BSE markets.

NSE 100 Stock Market Dashboard — Power BI Created a Power BI dashboard to analyze NSE Top 100 stocks, visualize price trends, volume, and sector performance, and generate actionable market insights using cleaned and transformed financial data.

NSE Indices Heatmap Dashboard is a Streamlit app visualizing live NSE index data with interactive treemaps, pie charts, and AI-powered summaries (Groq). Supports single/multi-index modes, sector insights, gainers/losers tables, and CSV export. Built with Plotly, yfinance, and custom CSS for a modern UI.

A quantitative backtesting engine for the (NSE Auto Sector 2016-2019 all configurable). It implements an RSI mean-reversion strategy with built-in RMS . Features include realistic trade simulation and logging, institutional-grade metrics, and automated dashboard generation for performance visualization. Built with Pandas, NumPy, and Yfinance.

A Python-based stock market analytics dashboard that processes NSE large-cap trade data through Pandas and visualises it via an interactive Streamlit interface. Features real-time filtering, sector drill-downs, KPI computation, and publication-grade Plotly charts — all from a single CSV file, with no frontend code required.