sector-analysis

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

Transparent and Efficient Financial Analysis

A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.

An MCP server for public & prediction markets research. Ask natural-language questions and get structured, source-backed answers across SEC filings, earnings transcripts, company financials, stock & crypto market data, and prediction markets news & research. Built for investors, analysts, and researchers who need fast, cited intelligence.

RRG-Lite is a Python CLI tool for displaying Relative Rotation graph (RRG) charts.

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

Structured market intelligence for Indian financial events, macro context, and sector impact.

A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.

A finance tracking app that provides detailed insights about your expenses using AI, allowing you to chat and call interaction with your financial data.

Understand the global trends in investments so that we can make the investment decisions effectively.

Advanced cross-market financial models (India & US) built for long-term sector analysis (2020-2030), including ROCE-PE relationships, CAS Scoring architecture, RAPI framework, heatmaps, and valuation-efficiency insights. Designed for investment research, Portfolio strategy, and global sector benchmarking.

Multilingual stock research app with market scanning, explainable scoring, live data fallbacks, news signals, and sector insights.

Financial-Chat: AI-powered terminal using LangChain & OpenBB. Features Market-Sentiment-Analysis, Technical-Analysis, and real-time Stock-Market data.

Finance-NLP-Chatbot: AI-powered finance tracker for expense insights. Features Financial-Language-Model integration for chat/call data interaction.

Quantitative factor-driven portfolio optimizer with MILP, rolling beta estimation, sector-aware constraints, and a live interactive backtest & analytics app deployed on Streamlit.

Portfolio optimization with carbon constraints

LazyInvest: dated U.S. sector and stock research notes with multilingual LazyingArt README

Institutional-grade equity research skill for Claude — fundamentals-first company and sector analysis

A systematic tactical asset allocation pipeline using walk-forward LightGBM classifiers to generate directional alpha signals across S&P 500 sector ETFs.

A Chrome extension that adds a native-looking sector-exposure card and recommendations to your Fidelity portfolio.