indian-markets

A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.

Karkaushal is an e-commerce website for the people who sells handicraft product built with microservices architecture, developing on docker-desktop and Deployed on the Google Cloud Platform (Google Kuberenetes Engine) environment, integrated some CI/CD process with GitHub Action workflow.

Forsyt is an AI-powered, real-time geopolitical risk intelligence platform built specifically for Indian financial markets. It transforms global and regional news into the localized "India AI-GPR Index" to assess risks across trade corridors, sectors, and investment portfolios.

This repo gives an introduction to trading using support vector machines

Automated Equity Research Report Generator for Indian Markets (NSE/BSE) using LangChain, LangGraph, and Free LLMs

Unified Python broker API for Indian markets: auth, orders, portfolio, instruments, and websocket streaming.

Stage-3 + Stage-4 quant strategy validation framework. Frequency-aware (monthly + intraday) 8-12 gate battery anchored in published literature.

Paper-first intraday options strategy platform with backtesting, risk controls, Upstox integration, and React dashboard.

Quantitative factor exposure analyzer for Nifty 500 stocks, rolling OLS regression, sector heatmap, FastAPI backend

🔱 Free TradingView Pine Script v6 indicator for NIFTY/Bank Nifty by Monetry.in

Autonomous Nifty options trading — backtest, paper-trade, and go live with the same engine.

Indian Mutual Funds Portfolio

Real-time NLP pipeline for Indian equity markets — 47 financial feeds, Nifty 50 constituents, comparative sentiment scoring with self-calibrating anchors, sector propagation by index weight, and an interactive Streamlit dashboard.

Find past market days similar to today using historical data (no prediction, no signals).

Intraday EMA crossover backtest on NIFTY/Bank Nifty + Nifty50 stocks. Accuracy by timeframe & EMA combo. By Monetry.in

Mean reversion pairs trading strategy on ICICI Bank vs HDFC Bank (NSE) using Kalman Filter hedge ratio estimation and cointegration analysis. Sharpe 1.74 | Win Rate 73% | Max DD 6.78%

Live weather, gold, mandi, fuel, and air-quality data for India, updated in real time

Contains the Market Segmentation

Offline-first parser library for NSE XBRL filings, bundling taxonomies and producing context-preserving facts, validation, and financial-reporting views.

Factor models, portfolio optimization, backtesting, and live rebalancing — built on NSE data. Includes a 21-factor risk model, CVXPY-powered optimizer, Python research sandbox (VS Code in browser), Brinson attribution, and strategy builder with trade list generation. Full-stack: Next.js 16 + FastAPI + SQLite.