#Portfolio-analysis
Showing 11 of 11 repositories tagged #portfolio-analysis, ranked by stars
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
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.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
Claude Code skill: 5 AI agents analyze crypto, stocks, forex & commodities in parallel, adapt to your risk profile, and render an interactive bilingual (EN/ES) dashboard. Hybrid keyless market data. Educational market research, not financial advice.
Open-source portfolio analysis tools for DIY investors and finance enthusiasts.
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as features in a Machine Learning model and portfolio results are evaluated and compared.
MultiCharts Advanced Backtesting Premium provides the Full Version with Professional Build strategy development and backtesting. Complete Edition installation and download for Windows quant desks.
analyze financial data using python: numpy, pandas, etc.
🚀 Portfolio: Co-Pilot, 💡 Investing: Idea Generation, 🚦Trade: Due Diligence
Shiny app to create a simple portfolio data analysis report.
Read-only MCP server aggregating your portfolio across EU wallets, exchanges and brokers for AI analysis. Data stays local, no telemetry.