⚡ Python library for getting publically available Mutual Funds data in India
-
Updated
Oct 5, 2026 - Python
⚡ Python library for getting publically available Mutual Funds data in India
Free REST API for NSE and BSE Indian stock market data. Real-time stock prices, company info, and market data via Yahoo Finance. Perfect for n8n, Zapier, trading bots, and automation. No API key required. Python Flask. MIT License.
NSE BSE Indian Stock Market Data MCP server — search, screen & analyze all 8,200+ NSE/BSE stocks with 52 tools: live quotes, financials, technicals, 326-ratio screener, FII/DII flows, options IV, IPOs & portfolio tracking. Works with Claude, ChatGPT, Cursor & any MCP client
Vibe Trading — agentic AI trading platform for Indian markets. 7 LLM analyst agents analyze stocks in parallel, debate bull vs bear, and deliver trade plans. Open-source agentic quantitative researcher for NSE/BSE/NFO.
AI-driven intraday trading bot for Indian stocks. Jev ranks the Nifty 50 every 15s; code sizes each trade and places the stop; orders go live through Zerodha Kite or Kotak Neo. Day replay, kill switch, daily loss halt, terminal dashboard.
An unofficial Python API for BSE India Stock Exchange
This library utilizes Kite Connect APIs to fetch the option chain of all the derivatives traded in the Indian stock market.
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.
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.
Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.
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
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Institutional-quality equity research reports for NSE/BSE stocks. Generate comprehensive Buy/Sell/Hold analysis with zero hallucination using Claude Code. Multi-model valuation, forensic accounting, technical analysis & TAM sizing. MIT License.
🧠 AI based Indian stock market prediction with deep learning framework. Predicts 5-day OHLC prices + Buy/Hold/Sell Signals with candlestick visualization.
Production-grade simulated broker for NSE & BSE paper trading — realistic fees, T+1 settlement, live prices, and an Alpaca-style API
That script is getting data of NFO`s OPTIDX from AngelOne using SmartApi
An agent that helps you predict the next day's stock prices using LLMs
Scrapes indian market news data
Indian Stock Research MCP server — turn Claude into a personal equity analyst powered by live Screener.in data
The only stack that let's you deploy a private trading research assistant in minutes
To associate your repository with the indian-stock-market topic, visit your repo's landing page and select "manage topics."