A web app to produce near-real-time statistics on your investment portfolio

Rust execution layer for Python trading strategies: deterministic LOB, portfolio backtests, pre-trade risk, and IBKR rebalancing.

Portfolio and Risk Management of 5 US random selected stocks

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI-Based Financial Portfolio Management leverages AI to analyze market data, assess risks, and optimize investment portfolios, providing personalized strategies to enhance returns and reduce financial risks.

A comprehensive full-stack stock trading simulator built with Next.js, enabling users to manage virtual portfolios with real-time data. Features include user authentication, trading systems, analytics dashboards, and a robust backend with PostgreSQL and Prisma ORM.

Repository covering an application of portfolio management using different quantitative asset allocation techniques.

A Python powered CLI that calculates most important descriptive statistics for given assets

Explore investment performance using Python models, uncovering the risk-return relationship for higher returns.

A dApp implementing an IndexFund-as-Vault NFT on Sui testnet

A comprehensive risk management implementation calculating Value at Risk (VaR), Conditional Value at Risk (CVaR), and Monte Carlo VaR using Python. Features historical simulation, parametric methods, and Monte Carlo simulations to quantify portfolio risk exposure, tail risk assessment, and stress testing for financial applications.

Handy backtest tool for data-driven retail investor