Unlock the power of Modern Portfolio Theory to enhance asset diversification, minimize risk, and boost returns for investment portfolios. Experts reveal key strategies.
This project analyzes 40 mutual fund schemes across 10 fund houses (2022-2026), using data from AMFI and live NAV data from mfapi.in. It covers the full data pipeline: ingestion → cleaning → SQL ...
This project demonstrates the full workflow of portfolio construction for 10 large NYSE stocks, combining Fama–French 3-factor regression analysis with Markowitz mean-variance optimization in Excel.
"""Download historical adjusted close prices using yfinance.""" ...
A clean, fork-friendly, end-to-end A-share quantitative trading system: ...
A monorepo of six quant-finance projects for software engineering students: data ingestion, backtesting, factor research, portfolio optimization, ML alpha, and paper trading. Projects 1–2 are fully ...
This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.
📌 Recommended prerequisite knowledge: Linear algebra basics (vectors, matrices, eigenvalues) and Python programming. No prior quantum physics needed!
VisionQuant-Pro is an AI-powered quant research system centered on visual K-line pattern learning. It transforms visual patterns into a quantitative factor and provides a transparent Top10 historical ...
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