#Indian-stock-market
Showing 7 of 7 repositories tagged #indian-stock-market, ranked by stars
An unofficial Python API for BSE India Stock Exchange
In Stock Market Prediction, our aim is to build an efficient Machine Learning model to predict the future value of the financial stocks of a company.Our machine learning model will be presented to retail investors with a third-party web app with the help of Streamlit.
NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 34 tools: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, IPOs & portfolio tracking. Works with Claude, ChatGPT, Cursor & any MCP client | tapetide.com
Claude Skills for Indian equity investors and traders — NSE/BSE stocks, F&O derivatives, institutional flows, and market breadth analysis
9 Claude Code skills for Indian stock trading — technical analysis, position sizing, stop-loss, trailing stops, risk-reward, multi-timeframe, RSI divergence, Fibonacci. Works with NSE/BSE via Groww MCP. Zero dependencies.
Relative Rotation Graphs (RRG) for Indian stock markets (NSE, NIFTY) to track sector rotation and relative strength. Uses RS-Ratio and RS-Momentum to identify outperforming and weakening sectors, based on the Julius de Kempenaer RRG methodology, adapted for Indian equity markets
An agent that helps you predict the next day's stock prices using LLMs