An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
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Updated
Sep 14, 2025 - Python
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.
R Shiny app to compare the relative performance of cryptos and equities.
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.
Performance attribution analysis, value investment, original investment ideas, alpha seeking
analyze financial data using python: numpy, pandas, etc.
🚀 Portfolio: Co-Pilot, 💡 Investing: Idea Generation, 🚦Trade: Due Diligence
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
PDF Statement Data Extractor and Analyzer. A Python script for extracting and analyzing financial data from PDF statements, with a focus on Schwab statements.
Evidence-driven stock market analysis CLI for A-shares, Hong Kong stocks, US stocks, funds, and portfolios.
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.
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
A full-stack web app to manage and display your cryptoportfolio
Self-hosted personal finance analytics dashboard and account aggregator.
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