NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)

DeFi portfolio analytics across 90 EVM networks and 600+ protocols. Proxy rotation, Excel/CSV/JSON export, filters by chain/token/NFT. TypeScript.

Too many portfolio trackers, but no portfolio doctor! Get insights from your trading history. Correctly benchmark against an index, with opportunity cost, interest income from cash, broker fees and capital gains tax, etc. factored in.

Multi-broker portfolio analytics — Fama-French, GARCH, covered call strategies (PyPI: pip install clawdfolio)

Portfolio Analytics

Here you see how to track your portfolio the right way

Production-grade open-source Market Risk Engine 🚀💹 – Full-stack FastAPI (Python) + React 19/TypeScript with a sleek fintech dark-theme dashboard.Compute VaR & CVaR via multiple methods, advanced stress testing (historical crises + custom), VaR backtesting (Kupiec test), and rich portfolio analytics.

OpenBB extension for Interactive Brokers portfolio, margin, market data, options, and risk analytics.

building the optimal portfolio using analysis from historical data

A modern web application to analyze the historic performance of a given portfolio.

Stock Portfolio Analytics Dashboard

Synthetic personal-lines insurance portfolio built as a governed digital twin, with dataset freezing, validation gates, and actuarial realism.

A Python library for advanced quantitative portfolio analysis, optimization, and validation.

Automated credit risk assessment and portfolio analytics engine. Built with Python, Pandas, SQLite, and Matplotlib to evaluate bulk borrower data (DTI/DSCR), persist loan decisions to a database, and visualize portfolio analytics with symmetrical risk distribution.

Multi-asset portfolio analytics with institutional-grade attribution and risk decomposition.

Interactive credit risk underwriting simulator and portfolio analytics pipeline built using Python, Streamlit, and Chart.js.

End-to-end Market Risk Analytics system using Python and SQL. Fetches historical stock data via API, stores it in a relational database, and computes risk/performance metrics including Sharpe ratio, volatility, and 95% Value-at-Risk. Includes an interactive Streamlit dashboard for visualization.

A complete Mutual Fund Analytics Dashboard built in Excel — includes CAGR, Sharpe Ratio, Sortino, Beta, Alpha, Max Drawdown, Tracking Error, VaR, SIP XIRR and benchmarking using Nifty 500 TRI.

Comprehensive commercial real estate financial analysis platform featuring property valuation, lease management, cash flow modeling, and investment performance tracking for portfolio optimization

RustQuant is a modular quantitative finance platform built in Rust for financial modeling, market data processing, machine learning, and algorithmic trading. It combines high-performance Rust computation with modern data pipelines for scalable quantitative research and trading systems.